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Become a Hero
in Cloud Native Automation

The Cast AI APA (Application Performance Automation)
Hero badge recognizes professionals actively working in cloud, DevOps, or application development roles who demonstrate proven expertise in optimizing application performance, cost efficiency, and security across modern cloud-native environments.

Industry recognition

Certification

Exclusive community

Benefits

What’s in it for you?

Automation that drives results

Leverage your know-how for advanced automation to optimize performance across any cloud native environment.

Show your expertise

Earn recognition as an APA Hero and showcase your skills in cloud native automation.

Exclusive community

Connect with industry experts. Exchange ideas and shape the future of cloud-native automation.

Curriculum

Explore the full course catalog

Master Kubernetes automation, cost optimization, and cloud security—one course at a time.

Cost Monitoring Suite

This course introduces you to the transformative features of the Monitoring Suite, designed to become your central dashboard for automated cost optimization.

15-30 min

8 lessons

Kubernetes Node Autoscaling for Cost Efficiency and Performance

Leverage AI-driven node automation to bridge the gap between manual effort and innovation, significantly enhancing operational efficiency and cost management.

20-40 min

6 lessons

Enhancing Kubernetes Security with Cast AI

Learn how to enhance your Kubernetes security with Cast AI by automating threat detection, minimising vulnerabilities, and creating a resilient, secure infrastructure for your applications.

20-40 min

5 lessons

Autonomous Kubernetes Workload Optimization

Run cost-effective workloads on peak performance with Cast Al’s intelligent workload optimization.

20-40 min

5 lessons

Learn more

Additional resources

Report

2025 Kubernetes Cost Benchmark Report

Uncover the true CPU utilization in modern Kubernetes clusters, explore Spot Instance and GPU price trends, and see how automation drives efficiency.

Blog

Why We Call It Application Performance Automation (APA)

Discover how Cast AI is redefining cloud automation—going beyond cost and observability to deliver real-time, autonomous performance optimization for Kubernetes and cloud applications.

Blog

How To Migrate Stateful Workloads On Kubernetes With Zero Downtime

How do you migrate stateful workloads on Kubernetes without causing downtime? This is where Cast AI Live Migration comes in.

Hero wall

Meet our Cast AI APA Heroes

Senior Consultant, VegardIT

I’ve been working in IT for nearly 30 years, specializing in security, deployments, and architecture of large Java Enterprise applications. Over the past decade, my focus has increasingly shifted toward automation, containerization, and Kubernetes orchestration.

Head of DevOps, SolidusLabs

I am a passionate DevOps engineer and group leader at Develeap, managing multiple teams. Focused on breaking down complex problems and driving modern, automation-first solutions.

Infrastructure Architect, Paradox AI

I’m currently the Infrastructure Architect at Paradox, which helps companies around the world hire great talent. I spent the last decade working in the DevOps space.

Platform Engineer, Marsh McLennan

I’m currently working as a platform engineer in mmc with 10 years of experience, I mostly work on Kubernetes and Cloud with Gitops.
I love taking certifications in various technologies, and playing sports like badminton and cricket. I love to explore various places just to try to good food.

Tech Lead – DevSecOps, Onsights

I’m a specialist in system automation, quality and process simplification. I’m almost 15 years of experience working on projects ranging from bare metal machines to cloud solutions for a variety of businesses. My current primary focus is on the fields of data and machine learning, where optimisation automation is key to achieving efficiency.

Staff Engineer, SFEIR

I’m a Staff Cloud/DevOps Engineer at Sfeir for 7 years. I have always been passionate about IT, with a particular interest in automation. After 11 years in development, I have specialized for the past 7 years in the deployment and evolution of Cloud infrastructure, mainly around Kubernetes.

Solution Architect, ZenOps

I’ve been in the Kubernetes business for about 7 years, with a platform & infrastructure background that comes from the previous decade. I have several roles at ZenOps, going from architect, platform engineer, technical lead, but also a trainer from time to time.

Cloud Engineer, Telkomsel

I’m a Cloud Engineer at Telkomsel and member of the team that built the Cloud Center of Excellence (CCoE) at Telkomsel. With 9 years of experience in IT and telecommunications, and an engineering background, I manage the onboarding of critical applications to the cloud, manages cloud platforms, implements infrastructure automation and drives FinOps efforts to support the company’s digital transformation.

Staff Intelligence Automation Implementations, Telkomsel

I’m an IT professional at Telkomsel with a strong focus on cloud computing, networking, and automation. With a background from Telkom University, I’m passionate about leveraging automation and modern infrastructure to drive efficiency and innovation in enterprise environments.

DevOps Engineer, Jumbotail

I’m a DevOps Engineer with a strong focus on infrastructure automation, cloud reliability, and CI/CD systems. I work on improving developer workflows, managing secure cloud environments, and building scalable deployment pipelines using tools like Python, GitHub Actions, and Kubernetes. I’m passionate about creating systems that are stable, self-healing, and easy to maintain.

Cloud architect, Swisscom

I’m a cloud architect based in Riga, Latvia, with a deep focus on Kubernetes and automation. I help organizations streamline deployments and cut costs with Cast AI, and I’m passionate about integrating AI-driven solutions into everyday operations. When I’m not coding, you’ll find me traveling or learning new languages.

Senior DevOps Engineer, Optym

I’m a Senior DevOps Engineer working at Optym. I ensure that critical cloud and Kubernetes infrastructure runs workloads smoothly, securely, and efficiently while serving millions of requests. Apart from this, I love to travel, eat good food and play badminton.

Co-Founder, wisemelon.ai

I’m currently working at the intersection of product and engineering with a deep focus on cloud-native technologies. I’m passionate about systems engineering, especially kernel-level architecture and cloud infrastructure, and I actively advocate for open-source software as a foundation for innovation and collaboration.

Cloud Lead Architect, TaoTesting

I’m a Cloud Lead Architect with over eight years of experience designing and implementing scalable DevOps solutions, primarily on Google Cloud Platform. I’m passionate about cloud automation, Kubernetes, and helping organizations achieve operational excellence through modern infrastructure practices.

Staff IT Support, Telkomsel

I work as a Staff IT Support in Operation Kalimantan. I am passionate about cloud efficiency and automation and always strive to advocate for innovative solutions.

Network Performance Analysis and Consolidation, Telkomsel

An enthusiast and innovator in Cloud Engineering, AI, and Automation, with a strong track record of delivering impactful solutions at Telkomsel. Passionate about building scalable systems using Serverless & Microservices Architectures driving operational efficiency through Automation, and leveraging Artificial Intelligence to solve complex problems. Skilled in Data Analytics, Data Engineering, Machine Learning, Microservices, SQL, Web & Bot Development, and Python Programming.

AWS Solution & Devops Architect,
Tata Consultancy Services

With 19 years of experience, I’m working as Multi Cloud Solution & Architect. Microsoft Certified Trainer, TCS Certified Platinum Mentor, AWS UG Leader, GDG Organizer, HUG Organizer, Devops Institute Ambassador, CD Ambassador

Senior Backend Engineer, GKM IT pvt ltd

Sr. Backend Engineer at GKM IT pvt ltd with 4+ years of experience building scalable, high-performance systems. I specialize in Python, Go, FastAPI, and event-driven architecture to create reliable backend solutions. My work spans data science, API development, cloud deployment, and building systems with strong logging and monitoring. I’m passionate about solving complex problems, learning new tech, and delivering quality products that make an impact.

Senior DevOps Engineer,
Axcess Tech Systems India Pvt ltd

I am a passionate cloud technology enthusiast with a focus on automation and efficiency in cloud-native environments. I enjoy leveraging innovative solutions to optimize cloud infrastructure and drive operational excellence.

Backend Engineer, GKM IT Pvt. Ltd.

I’m a Python Backend Engineer currently working with a US-based healthcare company. I specialize in building scalable backend systems, integrating secure APIs, and designing robust data pipelines. I’m passionate about writing clean, maintainable code and delivering solutions that power critical healthcare workflows with reliability and performance. My tech-stack includes Python, FastAPI, DRF, AWS, Cognito, Lambda functions, Auto-Scaling Groups etc.

Business Analyst, Lidd AI

I’m Daniel Martínez, a Systems Engineering student and Observability Engineer at LID DEVELOPY S. de R.L. de C.V. I specialize in advanced monitoring solutions using Grafana, Prometheus, and Kubernetes, combining automation and AI to improve operational efficiency across multi cloud environments.

Developer Advocate, Middleware

A DevOps engineer with a great passion for building communities around DevOps. Have mentored 15+ hackathons and open source programs. Have given more than 10+ talks in conferences like KCDs, KubeCon, HashiTalk India,Platform Con 24, Devfest and etc.

DevOps SRE Consultant, GlobalLogic

I’m a Senior DevOps and SRE engineer who enjoys making cloud systems reliable and easy to manage. I love finding ways to automate deployments and solve tricky problems so teams can work faster. Helping others and learning new tools keeps me motivated every day.

Senior Support Analyst, e-Core

Curious by nature and hungry for knowledge. I’m driven by a desire to learn, improve, and contribute meaningfully to everything I do.

Solution Architect, Intact

Cloud & DevOps professional with deep expertise in cloud networking, solution architecture, and agile delivery. I’m passionate about designing scalable, secure, and automated infrastructure solutions that drive business outcomes. With hands-on experience across AWS, cloud security, and performance optimization, I enjoy simplifying complexity and mentoring teams along the way.
Always learning. Always building.

Architect, Indra Group / Homnick

I have over 20 years of experience in the IT world, having worked in various roles such as SysAdmin, Developer, Project Manager, and CIO. Over the past five years, I’ve focused on Cloud technologies, earning more than 60 official certifications. I currently work as a Cloud Solutions Architect at the Indra Group.

Principal Containers Specialist, KSUG.AI

I’m a global Cloud Native influencer, best known as the world’s first kubestronaut and the creator of awstronaut and kubestrong—both initiatives under KSUG.AI – KubeSmart & AI User Group. As a leading voice in the Kubernetes and Multi-Cloud space, I founded KSUG.AI, now the most active Cloud Native user group, with over 100,000 professionals following the community to navigate their Cloud Native journey more affordably.

AWS Devops Engineer, Tiger Analytics

DevOps Engineer passionate about automating performance at scale. Obsessed with making Kubernetes smarter, faster, and self-optimizing.

Cloud Operations Engineer, Splunk

I’m a DevOps enthusiast with around 10 years of experience spanning BFSI, consulting, and product-based domains. My core expertise lies in Observability and Automation, where I’ve built robust solutions to streamline operations and improve system visibility.
Recently, I’ve been diving deep into the world of cloud technologies and DevOps tools, expanding my skill set and exploring cutting-edge platforms like Cast AI. Always eager to learn, share, and contribute to the tech community!

Cybersecurity Specialist, Nexpeaks

I’m a cybersecurity specialist with over a decade of experience in cloud infrastructure, threat detection, and optimization strategies. Passionate about innovation, I continuously seek technologies that boost operational efficiency and security in modern environments.

Analyst, LID AI

I am a Systems Engineer currently specializing in observability, working with technologies such as Grafana, cloud platforms, and Kubernetes. I also develop software in languages including C++, C#, Java and Python.

Senior Manager, Capgemini

A software professional with expertise in application modernization and building cloud-native solutions, delivering scalable and resilient architectures. Skilled in DevOps practices, automation, and continuous delivery to accelerate digital transformation. Currently exploring Agentic AI technologies to drive intelligent automation and next-generation software solutions.

Observability Engineer, Lidd AI

I’m a cloud-native engineer specializing in observability, Kubernetes, and secure, scalable infrastructure. I help organizations design and monitor resilient systems by combining deep insights from distributed tracing, metrics, and logs with proactive security practices.

O11Y Engineer, Lidd AI

O11y Engineer. Love music and videogames. Cinematography fan.

Observability Analyst, Lidd AI

I’m a young enthusiast passionate about technology, software development, and taking on new challenges.

Chief Operating Officer, AcunaCloud

I am an entrepreneur that wants to learn and take advantage of all things FinOPS. I Co-founded my company with one of best friends and are currently expanding after just six months in the field.

Cloud Architect, V8.Tech

With an extensive background as a system analyst, I have honed my skills as both an architect and pre-sales expert, providing strategic solutions to complex technical challenges. My passion for technology drives me to constantly explore innovative ideas and cutting-edge advancements. A self-proclaimed nerd, I thrive on delving into the intricacies of the digital world and sharing this enthusiasm with others.

System Engineer, Tesco

I’m a DevOps & SRE engineer passionate about building intelligent, observable, and self-healing cloud systems. With hands-on experience across Kubernetes, Azure, and OpenTelemetry, I focus on driving performance, cost-efficiency, and automation at scale.

Technical Lead, Wipro

Software engineer from India with a strong passion for the latest advancements in AI and Cloud Computing. Always eager to explore new technologies, I thrive on tackling challenging projects that drive innovation. Enthusiastic about multi-cloud solutions and committed to continuous learning in the fast-evolving tech landscape.

Platform Engineering Consultant, Gravitek

Founder and president of Gravitek, I’m a hands-on consultant passionate about building meaningful partnerships that drive real impact. Beyond tools and technologies, what truly inspires me is the human project — the challenge of aligning people, strategy, and execution. I love helping others succeed; it’s the fuel that keeps me learning and growing every day. Curious and empathic by nature, I thrive on bridging the gaps — between Business and Tech, Product and Devs, Devs and Ops — ensuring that what we build always serves a clear purpose and contributes to a larger vision.

Cloud Native Infrastructure Consultant, Gravitek

With over a decade of experience across development and operations, I specialize in Open Source, automation, and cloud-native infrastructure. As a consultant, I help companies innovate and streamline their operations while bridging the gap between Dev and Ops. Passionate about knowledge sharing, I speak at conferences (Devoxx FR, KCD FR, DevOps D-Days), co-organize the Cloud Native Aix-Marseille Meetup, and write on vrchr.fr

Senior Systems Engineer, Epam

I am a Senior System/DevOps Engineer with over 15 years of experience in telecommunications and IT. As a Community Builder and leader of AWS user group/speaker, I leverage my extensive knowledge in cloud technologies and DevOps practices to mentor and guide both teams and the wider community. My expertise is supported by certifications such as AWS Certified DevOps Engineer – Professional, AWS Certified Solutions Architect – Associate, and Terraform Associate. I aim to be a valuable asset to any organization and a respected member of the tech community.

Senior Platform Engineer, Weaviate

I’m a plaform engineer. I aim at making people have to interact with computers as little as possible

Architect , MasterCard

Enterprise Architect with deep expertise in cloud-native platforms, AI-driven systems, and scalable enterprise solutions. Passionate about building future-ready architectures that blend technology, performance, and purpose.

Cloud Engineer, CJP TECHNOLOGIES PRIVATE LIMITED

I’m Ashwiny, a Cloud Engineer with hands-on experience in AWS. I love building cloud-native solutions, automating workflows, and learning how AWS can make systems smarter and more efficient.

Solutions Architect, Devoteam

Reyan Laifa is a Cloud and DevOps consultant passionate about cloud infrastructure and automation who helps companies design and implement cloud solutions. Based in Paris with deep expertise in AWS and Kubernetes, he specializes in sharing technical knowledge through consulting and content creation.

Head of Training, Develeap

I’m Amir, head of Training & Education at Develeap. I design systems that turn learning into leverage. I blend DevOps, AI, and creative strategy to build scalable education experiences that actually work. Off-hours, I’m probably experimenting in the kitchen or producing something that makes tech feel human.

Observability Engineer, Sunny Systems

I’ve been working in the IT market for almost 5 years. I’ve been with Cast AI for almost a year and a half, and I’m part of Sunny System’s team, focused on delivering Cast AI Observability and related projects.

Senior Cloud & DevOps Engineer, TESCRA SOFTWARE

11+ years of experience in IT operations, development, DevOps, PlatformOps. Expertise in designing, implementing, and maintaining robust CI/CD pipelines. Skilled in leveraging Docker and Kubernetes for container orchestration and AWS services for scalable cloud infrastructure. Proven track record in enhancing system reliability, performance, and security through effective monitoring and automation strategies.

Senior Consultant Engineer, Container Solutions

Cloud-native consultant (and all round techie) with telco & networking roots, translating creaky estates into Kubernetes-first, ship-ready platforms. I rally teams through greenfield sprints and infra overhauls, baking in security, compliance and observability throughout. Currently crafting the open-source Continuous Compliance Framework for affordable, continuous compliance for all (github.com/compliance-framework).

Senior Security Engineer, AccessIT

20+ year Network Security Engineer and Consultant with lots of firewall, routing, switching experience with on premise networks. My journey to the cloud started with firewalls in the cloud and building out the surrounding networks, but since then I’ve been learning new cloud native services including kubernetes.

Head of digital transformation , Air Niugini

Responsible for defining and executing digital transformation strategy, and technology enabled business transformation

Sr Platform Engineer, EPAM

A Senior Cloud Engineer passionate about AWS, Kubernetes, Terraform and DevOps automation. I actively participate in AWS, Terraform, AI & ML, and Kubernetes community events, love mentoring students and enjoy discussing technology. Outside of work, I’m a badminton enthusiast and thrive on continuous learning and sharing knowledge through talks, blogs, and meetups.

System Architect, EPAM

Seasonal Architect with 17+ Years in multiple Domains

Site Reliability Engineer, Obmondo

I am a Computer Science student with a passion for software. I am a CKA and currently working as a SRE at Obmondo. I am a LFX graduated mentee (Term 2, 2024), before that I used to work as a technical writing intern at GeeksforGeeks, and before that I worked as a web dev intern at Hooman Digital. I am Linux Foundation Scholar, Microsoft Learn Student Ambassador. My primary tech stack is Golang + Kubernetes. I actively contribute to the CNCF ecosystem, I am a contributor and org member at CNCF KubeEdge, and previously a official contributor at CNCF Kyverno.

AI & DevOps Engineer , Tata Consultancy Services

Tech enthusiast and Multi Cloud certified Specialized in Microsoft Azure, AWS and GCP, working with DevOps Automation, Machine Learning, Learning Quantum Computing.

Computer Scientist, Edgeverve Systems Limited

I am Software Engineer with 20 years experience in Various Tech stacks like, NodeJS, Java. Currently working as a FOSS Expert.

Technical Blogger, Hashnode

Cloud-Native and DevOps Engineer driven by the love of computers. I build scalable, automated systems using Kubernetes, AWS, and Terraform. Passionate about open source, CNCF communities, and simplifying the cloud through writing and collaboration.

Lead AI Engineer, Royal Bank of Canada Borealis

AI engineer who constantly seeks for advanced technology.

Alliance Partner, SCC France

I am a cloud and automation enthusiast with a strong background in Kubernetes and DevOps, always looking for innovative ways to make infrastructure more efficient and reliable. I enjoy exploring technologies that transform how teams operate and scale. My goal is to help organizations get the most out of the cloud while reducing operational complexity.

Alliance Manager, SCC France

As an Alliance Manager within the Enterprise Solutions division at SCC France, I lead our partner strategy across key ecosystems: public and sovereign cloud, FinOps optimization, Data & AI, Cybersecurity, and DevOps. Together with my team, I support our internal stakeholders and clients in defining and adopting innovative, high-performance, and secure solutions to accelerate their cloud transformation and maximize business value. As a committed leader passionate about technology alliances, I design high-impact programs and build lasting synergies between partners, internal teams, and customers to drive growth and operational excellence.

Cloud & DevOps consultant, Devoteam

I’m passionate about automation, cloud innovation, and digital transformation, and I thrive on building platforms that make technology invisible, so teams can focus on impact. Always open to connecting with fellow cloud architects, DevOps enthusiasts, and platform engineers to share ideas and explore opportunities.

Generative AI & Data Science Engineer , BigTapp Analytics

I am an AWS Community Builder in the AI Engineering track. I work as a Generative AI & Data Science Engineer at BigTapp Analytics, where I build cloud-native intelligent systems. I am passionate about Agentic AI, AI Security, LLMOps, and exploring cutting-edge topics in generative AI. On my Medium and DEV blogs, I write about AWS, AI, and developer productivity.

Cloud Engineer, CloudJournee

I am Pooja Dhumal, Cloud Engineer specializing in building scalable, secure, and efficient cloud solutions. With a strong passion for automation and modern cloud technologies.

Pre-Sales Engineer, Cloud Bridge

Dedicated Pre-Sales engineer passionate about helping customers operate more efficiently, save costs and realise the value that their applications and systems provide.

Cloud Architect, SFEIR

Cloud architect working for Sfeir. Passionate about opensource and security. Conference speaker and articles writer on sfeir.dev.

Lead Senior Software Architect, Tietoevry

I have 20+ years of experience mainly in Java & Micro Services. Passionate about learn and know about the new Tech stacks horizontally like learning multiple tech stacks. More passionate on Cloud, AI and K8S. Working in DevSecOps and DevOps.

Cloud Support Engineer, SAP Fioneer

Experienced Cloud Support Engineer being at the forefront of delivering reliable, scalable, and secure cloud solutions and AI enthusiast

Staff IT Support, Telkomsel

Indonesia

About

I work as a Staff IT Support in Operation Kalimantan. I am passionate about cloud efficiency and automation and always strive to advocate for innovative solutions.

Why Cast AI?

Cast AI has been instrumental in transforming cloud-native operations with its cutting-edge technology and dedication to optimizing cloud efficiency. The community and support have been incredibly valuable, making it an easy choice for anyone looking to advance their cloud solutions.

Future of APA

The future of autonomous cloud optimization is incredibly promising, with advancements in AI and machine learning driving even greater efficiency and automation. I believe that this will lead to more streamlined operations, reduced costs, and enhanced performance, ultimately benefiting businesses and users alike.

Infrastructure Architect, Paradox AI

USA

About

I'm currently the Infrastructure Architect at Paradox, which helps companies around the world hire great talent. I spent the last decade working in the DevOps space.

Why Cast AI?

We needed something to help us lower our costs by rightsizing workloads, using various node types, and to start implementing spot instances.

Future of APA

Any company that wants to be able to scale will have autonomous cloud optimization. There are too many other tasks I need to handle to have to worry about rightsizing pods.

Senior Consultant, Vegard IT

Germany

About

I've been working in IT for nearly 30 years, specializing in security, deployments, and architecture of large Java Enterprise applications. Over the past decade, my focus has increasingly shifted toward automation, containerization, and Kubernetes orchestration.

Why Cast AI?

Cast AI delivers impressive resource optimization, reducing our workload requirements to about 60% of what developers originally planned. This efficiency gain is particularly valuable for testing environments on lower-resource systems, where the resource savings make a significant operational difference.

Future of APA

While autonomous cloud optimization shows impressive results (30-50% cost savings in current deployments), it's not a silver bullet. The technology is maturing from basic automation to AI systems that can predict and adjust resources in real-time, but organizations still face significant challenges around complexity, trust, and the need for proper governance and rollback mechanisms. The future points toward self-managing cloud infrastructure that continuously optimizes cost and performance, but human oversight and strategic decision-making remain essential.

Network Performance Analysis and Consolidation, Telkomsel

Indonesia

About

An enthusiast and innovator in Cloud Engineering, AI, and Automation, with a strong track record of delivering impactful solutions at Telkomsel. Passionate about building scalable systems using Serverless & Microservices Architectures driving operational efficiency through Automation, and leveraging Artificial Intelligence to solve complex problems. Skilled in Data Analytics, Data Engineering, Machine Learning, Microservices, SQL, Web & Bot Development, and Python Programming.

Why Cast AI?

Cast AI enables seamless microservices workload automation that transforms how we manage infrastructure. It simplifies operations, optimizes resource usage, and reduces cloud waste all while allowing engineers to focus on delivering value, not managing compute.

Future of APA

The future lies in fully autonomous Kubernetes platforms that self-optimize in real time. We're heading toward intelligent systems that balance performance, cost, and reliability automatically unlocking the next level of scalability and operational efficiency for modern applications.

Cloud architect, Swisscom

Latvia

About

I'm a cloud architect based in Riga, Latvia, with a deep focus on Kubernetes and automation. I help organizations streamline deployments and cut costs with Cast AI, and I'm passionate about integrating AI-driven solutions into everyday operations. When I'm not coding, you'll find me traveling or learning new languages.

Why Cast AI?

Cast AI's real-time autoscaling and spot instance automation have transformed our cloud efficiency and resilience—we've seen double-digit cost savings without sacrificing performance.

Future of APA

I believe the next generation of cloud ops will be self-managing, self-healing, and fully autonomous powered by AI that constantly learns, adapts, and optimizes. I'm excited to help make this future a reality!

DevOps Engineer, Jumbotail

India

About

I'm a DevOps Engineer with a strong focus on infrastructure automation, cloud reliability, and CI/CD systems. I work on improving developer workflows, managing secure cloud environments, and building scalable deployment pipelines using tools like Python, GitHub Actions, and Kubernetes. I'm passionate about creating systems that are stable, self-healing, and easy to maintain.

Why Cast AI?

Cast AI is solving a real and growing challenge — helping teams manage cloud resources efficiently without sacrificing performance. Its focus on automation, visibility, and optimization aligns perfectly with the needs of modern DevOps and platform teams who aim to reduce cost and complexity at scale.

Future of APA

The future of autonomous cloud optimization is promising — as systems become more complex, real-time, intelligent decision-making will be essential. With advancements in AI and observability, cloud platforms will self-tune infrastructure, optimize cost, and prevent failures without manual intervention, making DevOps teams more strategic and less reactive.

Cloud Engineer, Telkomsel

Indonesia

About

I'm a Cloud Engineer at Telkomsel and member of the team that built the Cloud Center of Excellence (CCoE) at Telkomsel. With 9 years of experience in IT and telecommunications, and an engineering background, I manage the onboarding of critical applications to the cloud, manages cloud platforms, implements infrastructure automation and drives FinOps efforts to support the company's digital transformation.

Why Cast AI?

Cast AI provides advanced automation capabilities for Kubernetes workloads—something that had previously been a major pain point for our organization.

Future of APA

Automation will play a key role in driving continuous optimization, allowing teams to focus more on innovation and less on manual tuning.

Solution Architect, ZenOps

France

About

I've been in the Kubernetes business for about 7 years, with a platform & infrastructure background that comes from the previous decade. I have several roles at ZenOps, going from architect, platform engineer, technical lead, but also a trainer from time to time.

Why Cast AI?

It's fun! Push some button, look at big number, get some money back with nearly no effort. But more seriously, it is a solution that goes further than just reducing the numbers on the bill, it deletes wasted resources, making your cluster more efficient, more optimized. It's like Marie Kondo for Kubernetes.

Future of APA

Since the world is going on an AI frenzy, I guess we'll have a lot more "autonomous" and a lot less thinking. Still, since hyperscalers are now also offering optimization services, solutions that will survive in the long run are the ones that go much further than saving costs, maybe by focusing on giving insights on where the resources are wasted and specific recommendations on how to handle particular workloads.

Tech Lead - DevSecOps, Onsights

Poland

About

I'm a specialist in system automation, quality and process simplification. I'm almost 15 years of experience working on projects ranging from bare metal machines to cloud solutions for a variety of businesses. My current primary focus is on the fields of data and machine learning, where optimisation automation is key to achieving efficiency.

Why Cast AI?

Cast AI is a complete solution. On a daily basis optimization is an important but also tedious task especially done manually and in-house automation is not quick and simple - done that in the past. My journey with Cast AI started over a year ago by installing a read-only agent to monitor costs in the cluster - as a second source of truth - so after proofing robustness started POC which with minimal effort enabled me to solve ongoing automation issues and also track data in an out-of-box dashboard.

Future of APA

My vision here is one clear place I go to understand what, why, when happens in my clusters, network and instances. Only thing I should be concerned about is providing boundaries - configuration - to cover business needs. I see automated anomalies detection, notifications and automated, based on configuration, remadiations. So my day to day work could be leveraged to the creative side.

Cloud Lead Architect, Taotesting

Spain

About

I'm a Cloud Lead Architect with over eight years of experience designing and implementing scalable DevOps solutions, primarily on Google Cloud Platform. I'm passionate about cloud automation, Kubernetes, and helping organizations achieve operational excellence through modern infrastructure practices.

Why Cast AI?

Cast AI stands out because of its commitment to smart, automated cloud optimization. As someone passionate about maximizing efficiency in cloud environments, I found Cast AI's vision and tooling aligned perfectly with my mission to automate intelligently and drive cost-effective scalability.

Future of APA

The future of autonomous cloud optimization will be defined by continuous learning, predictive scaling, and fully self-healing infrastructures. I envision a world where infrastructure manages itself—anticipating demand, adjusting configurations, and maximizing performance—all while keeping costs under control. Cast AI is paving the road toward that future.

Staff Intelligence Automation Implementations, Telkomsel

Indonesia

About

I'm an IT professional at Telkomsel with a strong focus on cloud computing, networking, and automation. With a background from Telkom University, I'm passionate about leveraging automation and modern infrastructure to drive efficiency and innovation in enterprise environments.

Why Cast AI?

Cast AI stands out for its ability to fully automate Kubernetes cost optimization and resource management, eliminating manual intervention and enabling significant savings and operational efficiency. By integrating Cast AI, teams can focus on innovation rather than repetitive scaling and capacity tasks, while gaining real-time visibility and control over cloud costs.

Future of APA

It's driven by AI-powered platforms that deliver intelligent resource allocation, predictive analytics, and dynamic scaling4. As organizations increasingly adopt multi-cloud and hybrid environments, automation will be essential for maximizing efficiency, reducing costs, and ensuring seamless performance. AI will not only optimize workloads in real time but also enhance security, compliance, and agility, making cloud operations smarter and more resilient than ever before

Senior DevOps Engineer, Optym

India

About

I'm a Senior DevOps Engineer working at Optym. I ensure that critical cloud and Kubernetes infrastructure runs workloads smoothly, securely, and efficiently while serving millions of requests. Apart from this, I love to travel, eat good food and play badminton.

Why Cast AI?

Cast AI has created a fantastic platform that alleviates the need of manual efforts and through intelligent automation, it ensures that your Kubernetes infrastructure is performing at its best. It helps with cost reduction, workload optimization and increased security, all in a very intuitive manner.

Future of APA

DevOps/SRE/Platform engineers spend hours on figuring out how to right size the cloud and Kubernetes workloads, keeping the cluster secure and optimizing its performance. But as we see the industry trend shifting towards doing more things in lesser time with automation, I think autonomous cloud optimization is the way to go and Cast AI is leading the way.

Platform engineer, Marsh McLennan

India

About

I'm currently working as a platform engineer in mmc with 10 years of experience, I mostly work on Kubernetes and Cloud with Gitops. I love taking certifications in various technologies, and playing sports like badminton and cricket. I love to explore various places just to try to good food.

Why Cast AI?

We want to reduce our cloud costs that's the sole reason. Cast AI does many things very easily and its reports and config management is very easy to grasp as well.

Future of APA

Efficient forecasting models, NLP models for rather than finding the settings to implement, agent should be able to understand the right configs based on our needs and what want to use and help in achieving the right setting easily

Head of DevOps, SolidusLabs

Isreal

About

I am a passionate DevOps engineer and group leader at Develeap, managing multiple teams. Focused on breaking down complex problems and driving modern, automation-first solutions.

Why Cast AI?

Cast AI is a modern AI-based solution that's constantly evolving, delivering top-tier cost optimization results. It solves complex engineering challenges with the backing of an exceptional support and engineering team.

Future of APA

Everyone wants to reduce the exhausting manual effort of tuning cloud infrastructure. But true automation requires trust and real engineering expertise. This is where Cast comes in — combining intelligent automation with safe, expert-driven optimization.

Co-Founder, wisemelon.ai

India

About

I'm currently working at the intersection of product and engineering with a deep focus on cloud-native technologies. I'm passionate about systems engineering, especially kernel-level architecture and cloud infrastructure, and I actively advocate for open-source software as a foundation for innovation and collaboration.

Why Cast AI?

Honestly, what drew me to Cast AI was how effortlessly it takes away the pain of managing cloud costs and performance (specially in case of Kubernetes Clusters) which with scale can be too complicated to handle and optimise. It feels like having a really smart “co-pilot” which keeps optimising things behind the scenes. As an engineer, I personally love when tools just get out of way and let me focus on building. And Cast AI definitely does it. Don't get me wrong, handling Kubernetes clusters are fun, but sometimes I prefer peace too.

Future of APA

I think it's all about intent-driven infra, where engineers define what they want, and the system figures out how to get there efficiently. It's not only about cutting-cost anymore (though very important and crucial), but it's about building smarter, self-aware system that can adapt in real time to workloads, failures and performance needs without manual intervention. I imagine a future where cloud-ops become almost invisible, where engineers can focus on innovation while the platform continues to optimise under the hood. It like an autopilot for cloud, but one that learns continuously and evolves with changing workloads

Staff Engineer, SFEIR

France

About

I'm a Staff Cloud/DevOps Engineer at Sfeir for 7 years. I have always been passionate about IT, with a particular interest in automation. After 11 years in development, I have specialized for the past 7 years in the deployment and evolution of Cloud infrastructure, mainly around Kubernetes.

Why Cast AI?

I had the opportunity to meet the Cast team at Google Cloud Next 2024 in Las Vegas. After quickly getting to grips with the tool, I was able to see the strong added value it brings to optimizing Kubernetes resource usage. It's easy to deploy and provides direct feedback on the ROI.

Future of APA

The key for the future is being more proactive. LLMs and AI Agent are for me the next step in getting valuable insights and recommendations for having suitable optimizations.

O11Y Engineer, Lidd Ai

Mexico

About

O11y Engineer. Love music and videogames. Cinematography fan.

Why Cast AI?

We are partnering with Cast AI. Taking the courses made me more interested in learning Kubernetes optimization the right way.

Future of APA

Being able to deploy things quickly, securely and the most optimized way possible with less effort and costs.

Observability Engineer, Lidd AI

Mexico

About

I'm a cloud-native engineer specializing in observability, Kubernetes, and secure, scalable infrastructure. I help organizations design and monitor resilient systems by combining deep insights from distributed tracing, metrics, and logs with proactive security practices.

Why Cast AI?

Cast AI complements expertise in application modernization, cloud-native solutions, and DevOps by automating Kubernetes cost optimization and scaling across multi-cloud environments. It enhances cloud efficiency while maintaining high availability, freeing teams to focus on innovation rather than infrastructure tuning. For professionals exploring Agentic AI, Cast AI's automation-first approach aligns perfectly with intelligent operations and autonomous workload management.

Future of APA

As systems grow more distributed and dynamic, the future of cloud optimization will be driven by AI-powered platforms that adapt in real time. Observability and security will converge with cost optimization, enabling platforms like Cast AI to act as intelligent control planes—constantly fine-tuning workloads for maximum performance, minimum risk, and full transparency.

Senior Manager, Capgemini

India

About

A software professional with expertise in application modernization and building cloud-native solutions, delivering scalable and resilient architectures. Skilled in DevOps practices, automation, and continuous delivery to accelerate digital transformation. Currently exploring Agentic AI technologies to drive intelligent automation and next-generation software solutions.

Why Cast AI?

Cast AI complements expertise in application modernization, cloud-native solutions, and DevOps by automating Kubernetes cost optimization and scaling across multi-cloud environments. It enhances cloud efficiency while maintaining high availability, freeing teams to focus on innovation rather than infrastructure tuning. For professionals exploring Agentic AI, Cast AI's automation-first approach aligns perfectly with intelligent operations and autonomous workload management.

Future of APA

The future of autonomous cloud optimization is moving toward fully self-managing infrastructures where AI-driven systems dynamically optimize cost, performance, and security without human intervention. With advancements in Agentic AI and automation, platforms will evolve from reactive scaling to predictive and policy-driven orchestration, enabling enterprises to achieve resilience, efficiency, and compliance at scale. This shift will make cloud operations increasingly hands-off, intelligent, and business-aligned.

Analyst, LID AI

Mexico

About

I am a Systems Engineer currently specializing in observability, working with technologies such as Grafana, cloud platforms, and Kubernetes. I also develop software in languages including C++, C#, Java and Python.

Why Cast AI?

Cast AI allows me to manage the performance and cost of my Kubernetes instances, optimizing resource usage and enabling significant savings in both financial and human capital.

Future of APA

I believe the future of autonomous cloud optimization will be driven by increasingly intelligent AI systems capable of making real-time, cost-aware, and performance oriented decisions without human intervention. These systems will not only optimize workloads proactively but also anticipate infrastructure needs, enabling businesses to focus more on innovation and less on operational overhead.

Cybersecurity Specialist, Nexpeaks

Mexico

About

I'm a cybersecurity specialist with over a decade of experience in cloud infrastructure, threat detection, and optimization strategies. Passionate about innovation, I continuously seek technologies that boost operational efficiency and security in modern environments.

Why Cast AI?

Cast AI offers a unique, intelligent solution to cloud cost optimization with zero compromise on performance. Its automation-first approach enables teams to focus on innovation while the platform ensures optimal infrastructure usage.

Future of APA

The future lies in full-stack automation – from cost control to self-healing infrastructure. Autonomous cloud optimization will be essential in scaling operations securely and sustainably, empowering teams to deliver faster with fewer resources.

Cloud Operations Engineer, Splunk

India

About

I'm a DevOps enthusiast with around 10 years of experience spanning BFSI, consulting, and product-based domains. My core expertise lies in Observability and Automation, where I've built robust solutions to streamline operations and improve system visibility. Recently, I've been diving deep into the world of cloud technologies and DevOps tools, expanding my skill set and exploring cutting-edge platforms like Cast AI. Always eager to learn, share, and contribute to the tech community!

Why Cast AI?

I stumbled upon Cast AI while I was exploring tools focused on cloud cost optimization. Initially, my goal was just to find something that could help cut down expenses, but the fact that Cast AI brings AI into the equation really caught my eye. I had been checking out a few open-source solutions, but once I started digging deeper into Cast AI, I realized it's way more than just a cost-saving tool. What stood out was how it automates so much—right-sizing workloads, managing spot instances, autoscaling based on actual needs, and even identifying potential security risks. These features aren't just buzzwords—they actually solve real-world problems I've faced while working with Kubernetes environments.

Future of APA

I believe the future is all about intelligent automation—cloud infrastructure that can adjust itself in real time without manual effort. Cast AI is already heading in that direction, making cloud operations smarter, leaner, and more efficient.

AWS Devops Engineer, Tiger Analytics

India

About

DevOps Engineer passionate about automating performance at scale. Obsessed with making Kubernetes smarter, faster, and self-optimizing.

Why Cast AI?

Cast AI brings a fresh, automation first approach to cloud optimization. Its focus on real-world impact and community-driven learning makes it stand out in the cloud native space. I really got amazed after viewing its dashboard and all the features, its integration over this course!

Future of APA

The future is self-aware infra, systems that optimize themselves in real time for performance, cost, and security. APA is leading that shift.

Principal Containers Specialist, KSUG.AI

Australia

About

I'm a global Cloud Native influencer, best known as the world's first kubestronaut and the creator of awstronaut and kubestrong—both initiatives under KSUG.AI – KubeSmart & AI User Group. As a leading voice in the Kubernetes and Multi-Cloud space, I founded KSUG.AI, now the most active Cloud Native user group, with over 100,000 professionals following the community to navigate their Cloud Native journey more affordably.

Why Cast AI?

Cast AI is one of the few cost optimization tools that truly stands out on my cloud watch list. After testing it, I was genuinely impressed by its simplicity and the powerful capabilities it has developed over the past few years—now expanding into the security space as well.

Future of APA

In my view, the future of autonomous cloud optimization lies in full automation driven by intelligent systems. Kubernetes, while powerful, is inherently complex—many organizations still struggle to run it efficiently and cost-effectively. To achieve both high performance and reduced costs, we must move toward systems that can dynamically monitor, analyze, and optimize workloads in real-time, with minimal human intervention. Automation isn't just a nice-to-have; it's becoming essential for scaling cloud-native infrastructure without spiraling costs.

Architect, Indra Group / Homnick

Spain

About

I have over 20 years of experience in the IT world, having worked in various roles such as SysAdmin, Developer, Project Manager, and CIO. Over the past five years, I've focused on Cloud technologies, earning more than 60 official certifications. I currently work as a Cloud Solutions Architect at the Indra Group.

Future of APA

I believe the future lies in MultiCloud and Hybrid solutions, where scalability and resilience will be key factors. As these solutions grow in size and complexity, AI-based automation will allow businesses to focus more on their core operations and less on managing infrastructure. Solutions like Cast AI support platform engineers in achieving the required performance, while also helping to follow FinOps principles in a simpler and more cost-effective way.

Observability Analyst, Lidd AI

Mexico

About

I'm a young enthusiast passionate about technology, software development, and taking on new challenges.

Why Cast AI?

Because of the ease of learning, reliability, and cost savings it offers.

Future of APA

The future of autonomous cloud optimization lies in AI-driven systems that self-adjust resources, reduce costs, and improve performance.

Solution Architect, Intact

USA

About

Cloud & DevOps professional with deep expertise in cloud networking, solution architecture, and agile delivery. I'm passionate about designing scalable, secure, and automated infrastructure solutions that drive business outcomes. With hands-on experience across AWS, cloud security, and performance optimization, I enjoy simplifying complexity and mentoring teams along the way. Always learning. Always building.

Why Cast AI?

Cast AI stood out to me for its intelligent automation capabilities and deep focus on optimizing Kubernetes workloads in real time. The platform's ability to reduce cloud costs while improving performance aligns perfectly with my passion for cloud efficiency and innovation. It's a game-changer for modern cloud-native environments.

Future of APA

The future of autonomous cloud optimization lies in real-time, AI-driven decision-making that continuously balances cost, performance, and scalability without human intervention. As cloud environments grow more complex, I envision intelligent platforms becoming essential partners—enabling teams to focus on innovation rather than infrastructure management. It's not just about automation; it's about truly self-healing, self-optimizing cloud systems.

Senior Support Analyst, e-Core

Brazil

About

Curious by nature and hungry for knowledge. I'm driven by a desire to learn, improve, and contribute meaningfully to everything I do.

Why Cast AI?

After using Karpenter in client environments, I wanted to go deeper into intelligent, cost-effective Kubernetes management. Cast AI stands out with its powerful automation and real-time optimization, which aligns perfectly with my goal to deliver smarter, more efficient infrastructure solutions.

Future of APA

I believe autonomous cloud optimization will be a core enabler of FinOps maturity. By automating right-sizing and scaling decisions, teams will shift from reactive cost management to proactive, continuous optimization.

DevOps SRE Consultant, GlobalLogic

India

About

I'm a Senior DevOps and SRE engineer who enjoys making cloud systems reliable and easy to manage. I love finding ways to automate deployments and solve tricky problems so teams can work faster. Helping others and learning new tools keeps me motivated every day.

Why Cast AI?

I was impressed by how quickly Cast AI identified and acted upon unused resources which allowed instant savings.

Future of APA

I hope to see autonomous optimization extend beyond cost and performance, perhaps proactively adjusting for sustainability targets and carbon footprint.

Developer Advocate, Middleware

India

About

A DevOps engineer with a great passion for building communities around DevOps. Have mentored 15+ hackathons and open source programs. Have given more than 10+ talks in conferences like KCDs, KubeCon, HashiTalk India, Platform Con 24, Devfest and etc.

Why Cast AI?

The amount of impact is created is amazing and of course the community is fantastic.

Future of APA

Everything is going to be autonomus and we also need to speed up with it to stay ahead and survive in the tech era.

Business Analyst, Lidd AI

Mexico

About

I'm Daniel Martínez, a Systems Engineering student and Observability Engineer at LID DEVELOPY S. de R.L. de C.V. I specialize in advanced monitoring solutions using Grafana, Prometheus, and Kubernetes, combining automation and AI to improve operational efficiency across multi cloud environments.

Why Cast AI?

Cast AI represents the next logical step in the evolution of cloud computing—a platform that not only observes but acts. Automating decisions based on efficiency, cost, and security is a game changer for operations teams.

Future of APA

The future is about self-optimizing systems where human intervention is strategic, not operational. Cast AI plays a key role in this transformation, enabling platforms that learn, adapt, and dynamically adjust while prioritizing performance, cost, and governance.

Backend Engineer, GKM IT Pvt. Ltd.

India

About

I'm a Python Backend Engineer currently working with a US-based healthcare company. I specialize in building scalable backend systems, integrating secure APIs, and designing robust data pipelines. I'm passionate about writing clean, maintainable code and delivering solutions that power critical healthcare workflows with reliability and performance. My tech-stack includes Python, FastAPI, DRF, AWS, Cognito, Lambda functions, Auto-Scaling Groups etc.

Why Cast AI?

Cast AI is tackling a vital challenge - enabling teams to manage cloud resources more efficiently without compromising performance. Its strong focus on automation, visibility, and optimization perfectly aligns with the goals of modern engineering teams looking to reduce complexity and scale operations effectively.

Future of APA

The future of autonomous cloud optimization is promising. As systems grow more complex, real-time, intelligent decision-making will become essential. With advances in AI and observability, platforms will increasingly self-tune, cut down costs, and proactively prevent issues, freeing engineering teams to focus on innovation rather than firefighting.

Senior DevOps Engineer, Axcess Tech Systems India Pvt ltd

India

About

I am a passionate cloud technology enthusiast with a focus on automation and efficiency in cloud-native environments. I enjoy leveraging innovative solutions to optimize cloud infrastructure and drive operational excellence.

Why Cast AI?

Cast AI stands out with its commitment to truly autonomous cloud optimization, enabling businesses to reduce costs and improve performance with minimal manual intervention.

Future of APA

The future holds immense potential as autonomous cloud technologies evolve to become even smarter, more adaptive, and seamlessly integrated, empowering organizations to achieve unprecedented scalability and efficiency.

Senior Backend Engineer, GKM IT pvt ltd

India

About

Sr. Backend Engineer at GKM IT pvt ltd with 4+ years of experience building scalable, high-performance systems. I specialize in Python, Go, FastAPI, and event-driven architecture to create reliable backend solutions. My work spans data science, API development, cloud deployment, and building systems with strong logging and monitoring. I'm passionate about solving complex problems, learning new tech, and delivering quality products that make an impact.

Why Cast AI?

I liked the idea and the problem that Cast AI is solving. I'm learning Golang and one principle that i came along was that Go was made for the ease of programming. I can relate to how easily one can use Cast AI and the numerous features it provides. I liked how we can cut down hugely on our costs with the analysis provided.

Future of APA

Its awesome how agentic AI is slowly taking over the painful monotonous tasks. But certain aspects which should make sure about how much access or power we are ready to provide to these AI agents. As in the end these are just parrots spitting words the crammed up.

AWS Solution & Devops Architect, Tata Consultancy Services

Ireland

About

With 19 years of experience, I'm working as Multi Cloud Solution & Architect. Microsoft Certified Trainer, TCS Certified Platinum Mentor, AWS UG Leader, GDG Organizer, HUG Organizer, Devops Institute Ambassador, CD Ambassador

Why Cast AI?

I like cool features like Cost monitoring, Clusters, Efficiency dashboard, Security and Optimization, Scheduled rebalancing feature. Single Dashboard where we can integrated k8s clusters from multiple vendors and this is very cool.

Future of APA

I can see most of the cloud migrations has been completed. Its kind cloud to cloud migration and modernization and Cast AI will play a great here modernization area.

Chief Operating Officer, AcunaCloud

United States

About

I am an entrepreneur that wants to learn and take advantage of all things FinOPS. I Co-founded my company with one of best friends and are currently expanding after just six months in the field.

Why Cast AI?

Cast AI is an innovative way to save money for K8 users. At the most simple of summaries this tool sells it self and the potential savings are there for the taking.

Future of APA

With how fast cloud optimization is evolving its hard to imagine where it will be in the next five years. I just hope companies like Cast AI not only continue to grow but become pioneer the future of the industry.

Cloud Architect, V8.Tech

Brazil

About

With an extensive background as a system analyst, I have honed my skills as both an architect and pre-sales expert, providing strategic solutions to complex technical challenges. My passion for technology drives me to constantly explore innovative ideas and cutting-edge advancements. A self-proclaimed nerd, I thrive on delving into the intricacies of the digital world and sharing this enthusiasm with others.

Why Cast AI?

It enhances cluster efficiency with real-time analytics and intelligent workload distribution, ensuring high performance and cost savings. Moreover, Cast AI's platform provides seamless integration with existing cloud ecosystems, making it a versatile and adaptable for every customer needs.

Future of APA

The future of autonomous cloud optimization is promising, with advancements in AI-driven algorithms enabling more precise and dynamic resource management. This will lead to increased efficiency, cost-effectiveness, and sustainability as businesses can leverage automated systems to predict demand and optimize resources in real-time. Additionally, seamless integration of multi-cloud environments will provide unprecedented flexibility and scalability, empowering organizations to innovate and adapt swiftly to ever-changing digital landscapes.

System Engineer, Tesco

India

About

I'm a DevOps & SRE engineer passionate about building intelligent, observable, and self-healing cloud systems. With hands-on experience across Kubernetes, Azure, and OpenTelemetry, I focus on driving performance, cost-efficiency, and automation at scale.

Why Cast AI?

It stands out for turning complex Kubernetes optimization into an effortless, data-driven experience. What drew me in is how it unites automation, security, and cost governance into one intelligent layer—freeing engineers to focus on innovation instead of infrastructure firefighting.

Future of APA

The future lies in fully autonomous, AI-driven cloud orchestration—where clusters self-scale, self-heal, and self-secure in real time. This evolution will empower engineers to achieve true hands-off, intelligent, and cost-optimized cloud operations across any environment.

Technical Lead, Wipro

India

About

Software engineer from India with a strong passion for the latest advancements in AI and Cloud Computing. Always eager to explore new technologies, I thrive on tackling challenging projects that drive innovation. Enthusiastic about multi-cloud solutions and committed to continuous learning in the fast-evolving tech landscape.

Why Cast AI?

Cast AI was chosen because it excels at automating Kubernetes cost optimization, offering features like real-time rightsizing, automated scaling, and actionable savings without complex manual intervention. The platform's simplicity, speed of deployment, and financial visibility through built-in dashboards make it highly appealing for engineers seeking efficiency and measurable results from day one.

Future of APA

The future of autonomous cloud optimization is moving toward self-managing, predictive, and sustainability-driven systems powered by AI and machine learning. As predictive analytics and intelligent workload scheduling mature, clouds will proactively balance performance, cost, and carbon footprint with minimal human input. The vision is a fully autonomous, multi-cloud ecosystem where optimization happens continuously, enabling organizations to focus more on innovation than infrastructure management.

Platform Engineering Consultant, Gravitek

France

About

Founder and president of Gravitek, I’m a hands-on consultant passionate about building meaningful partnerships that drive real impact. Beyond tools and technologies, what truly inspires me is the human project — the challenge of aligning people, strategy, and execution. I love helping others succeed; it’s the fuel that keeps me learning and growing every day. Curious and empathic by nature, I thrive on bridging the gaps — between Business and Tech, Product and Devs, Devs and Ops — ensuring that what we build always serves a clear purpose and contributes to a larger vision.

Why Cast AI?

Cast AI is currently the leading solution for managing auto scalability in Cloud Native environments

Future of APA

The future is about self-optimizing platforms — clouds that learn, adapt, and continuously improve so teams can focus on creating value.

Cloud Native Infrastructure Consultant, Gravitek

France

About

With over a decade of experience across development and operations, I specialize in Open Source, automation, and cloud-native infrastructure. As a consultant, I help companies innovate and streamline their operations while bridging the gap between Dev and Ops. Passionate about knowledge sharing, I speak at conferences (Devoxx FR, KCD FR, DevOps D-Days), co-organize the Cloud Native Aix-Marseille Meetup, and write on vrchr.fr

Why Cast AI?

Cast AI enables efficient and sustainable cloud operations by automatically optimizing resource usage for performance and cost. Its ease of integration and powerful automation features help teams reduce operational overhead while maintaining reliability and scalability. Designed for modern Kubernetes environments, it brings simplicity and intelligence to cloud optimization.

Future of APA

The future of autonomous cloud optimization lies in fully self-managing infrastructures that continuously adapt to workload patterns in real time. Powered by GenAI, these systems will enable smarter, predictive scaling and resource allocation, maximizing efficiency while minimizing human intervention. This evolution will let teams focus on innovation rather than infrastructure management.

Senior Systems Engineer, Epam

Poland

About

I am a Senior System/DevOps Engineer with over 15 years of experience in telecommunications and IT. As a Community Builder and leader of AWS user group/speaker, I leverage my extensive knowledge in cloud technologies and DevOps practices to mentor and guide both teams and the wider community. My expertise is supported by certifications such as AWS Certified DevOps Engineer - Professional, AWS Certified Solutions Architect - Associate, and Terraform Associate. I aim to be a valuable asset to any organization and a respected member of the tech community.

Why Cast AI?

As an engineer, Cast AI appeals because it automates resource management and cost optimization using intelligent Kubernetes orchestration, reducing manual overhead significantly. Its real-time optimization and cloud-agnostic capabilities allow you to focus on building and deploying applications while ensuring efficient infrastructure use and lower cloud bills. This makes scaling simpler and more predictable without sacrificing performance.​

Future of APA

The future of autonomous cloud optimization is about systems that fully manage themselves predicting, adapting, and improving in real time without human input. I see it evolving into an intelligent layer that continuously balances cost, performance, and sustainability across multi-cloud environments.

Senior Platform Engineer, Weaviate

France

About

I'm a plaform engineer. I aim at making people have to interact with computers as little as possible

Why Cast AI?

Future of APA

Architect , MasterCard

India

About

Enterprise Architect with deep expertise in cloud-native platforms, AI-driven systems, and scalable enterprise solutions. Passionate about building future-ready architectures that blend technology, performance, and purpose.

Why Cast AI?

I chose Cast AI for its intelligent automation and real-time optimization capabilities that simplify Kubernetes management. It aligns perfectly with my focus on cloud efficiency, performance tuning, and cost optimization at scale.

Future of APA

The future of autonomous cloud optimization lies in self-healing, self-scaling systems that make real-time decisions using AI and telemetry data. We’re moving toward a world where the cloud optimizes itself—balancing cost, performance, and sustainability without human intervention.

Cloud Engineer, CJP TECHNOLOGIES PRIVATE LIMITED

India

About

I’m Ashwiny, a Cloud Engineer with hands-on experience in AWS. I love building cloud-native solutions, automating workflows, and learning how AWS can make systems smarter and more efficient.

Why Cast AI?

I was interested in Cast AI because it makes Kubernetes management much simpler and smarter. I liked how it automatically optimizes resources and costs — something that’s often a real challenge in cloud environments.

Future of APA

The future of autonomous cloud optimization looks incredibly promising. I believe AI-driven systems will handle real-time scaling, cost control, and performance tuning with minimal human intervention, making cloud operations fully self-managing. This will allow engineers to focus more on innovation and architecture rather than manual maintenance and optimization.

Solutions Architect, Devoteam

France

About

Reyan Laifa is a Cloud and DevOps consultant passionate about cloud infrastructure and automation who helps companies design and implement cloud solutions. Based in Paris with deep expertise in AWS and Kubernetes, he specializes in sharing technical knowledge through consulting and content creation.

Why Cast AI?

Cast AI is a valuable fit for organizations running Kubernetes workloads that struggle with cost management and resource utilization. From my experience with AWS and Kubernetes, I recognize that Cast AI's automation capabilities address real pain points by dynamically optimizing infrastructure costs, which is often a critical concern for customers modernizing their cloud deployments.

Future of APA

I see autonomous cloud optimization evolving into a more intelligent, self-healing ecosystem where platforms automatically adapt infrastructure to business needs without manual intervention. As someone passionate about automation, I'm excited about the potential for AI to make cloud management more accessible and efficient, allowing teams like mine to focus on innovation rather than infrastructure tuning, while ensuring optimal performance and cost-effectiveness across AWS, Kubernetes, and beyond!

Head of Training, Develeap

Israel

About

I’m Amir, head of Training & Education at Develeap. I design systems that turn learning into leverage. I blend DevOps, AI, and creative strategy to build scalable education experiences that actually work. Off-hours, I’m probably experimenting in the kitchen or producing something that makes tech feel human.

Why Cast AI?

I’ve been using Cast AI since 2024, and it’s proven itself over and over - from cutting costs to simplifying Kubernetes operations at scale. As a partner, I’ve seen firsthand how it turns complex cluster management into an intelligent, automated process that just works. It’s not just a tool - it’s a strategic advantage in cloud efficiency and DevOps automation.

Future of APA

Autonomous cloud optimization is headed toward self-governing AI ecosystems where agents continuously predict, allocate, and tune resources across hybrid environments - with minimal human touch. The future lies in cast AI-driven orchestration, where models dynamically balance performance, cost, and carbon footprint in real time. My hope: cloud ops evolves from reactive management to proactive, self-healing intelligence - like autopilot for infrastructure.

Observability Engineer, Sunny Systems

Brazil

About

I’ve been working in the IT market for almost 5 years. I’ve been with Cast AI for almost a year and a half, and I’m part of Sunny System’s team, focused on delivering Cast AI Observability and related projects.

Why Cast AI?

Cast AI has brought something really valuable and timely. With the rise of Kubernetes, it was inevitable that cost optimization would become a necessity — and Cast AI came precisely with that goal, providing an effective and well-timed solution.

Future of APA

I believe this will be very promising, especially with a partnership like the one we have with Cast AI. As the company continues to grow in the market, the potential ahead looks very bright.

Senior Cloud & DevOps Engineer, TESCRA SOFTWARE

India

About

11+ years of experience in IT operations, development, DevOps, PlatformOps. Expertise in designing, implementing, and maintaining robust CI/CD pipelines. Skilled in leveraging Docker and Kubernetes for container orchestration and AWS services for scalable cloud infrastructure. Proven track record in enhancing system reliability, performance, and security through effective monitoring and automation strategies.

Why Cast AI?

1. Cost Savings: Cast AI helps organizations significantly reduce their cloud spending by automatically rightsizing virtual machines, optimizing resource allocation, and identifying and eliminating idle resources. 2. Automated Kubernetes Management: It automates many of the complex and time-consuming tasks associated with managing Kubernetes clusters, such as scaling, provisioning, and troubleshooting, allowing teams to focus on development and innovation. 3. Performance and Efficiency: By intelligently optimising workloads and ensuring that applications have the right resources at the right time, Cast AI improves the performance and efficiency of cloud-native applications.

Future of APA

Cloud cost management mainly EKS clusters and also focus on optimising the EKS load.

Senior Consultant Engineer, Container Solutions

United Kingdom

About

Cloud-native consultant (and all round techie) with telco & networking roots, translating creaky estates into Kubernetes-first, ship-ready platforms. I rally teams through greenfield sprints and infra overhauls, baking in security, compliance and observability throughout. Currently crafting the open-source Continuous Compliance Framework for affordable, continuous compliance for all (github.com/compliance-framework).

Why Cast AI?

Future of APA

Senior Security Engineer, AccessIT

USA

About

20+ year Network Security Engineer and Consultant with lots of firewall, routing, switching experience with on premise networks. My journey to the cloud started with firewalls in the cloud and building out the surrounding networks, but since then I've been learning new cloud native services including kubernetes.

Why Cast AI?

Cast AI is now a partner of the VAR I work for. Once I that it's a product that focuses on kubernetes deployments, I was immediately interested in learning more.

Future of APA

The ability to automatically consolidate or expand k8s clusters with a focus on cost efficiency seems like a must have. Cloud costs are a real issue and Cast AI is an intelligent way to cut those costs.

Head of digital transformation , Air Niugini

Papua New Guinea

About

Responsible for defining and executing digital transformation strategy, and technology enabled business transformation

Why Cast AI?

I chose Cast AI because it offers a powerful and automated approach to cloud cost optimization without compromising performance or reliability. The platform’s real-time autoscaling, cost visibility, and multi-cloud capabilities make it stand out as a smart, hands-off solution for managing Kubernetes workloads efficiently. I’m excited by the opportunity to work with a team that’s driving real innovation in cloud optimization.

Future of APA

The future of autonomous cloud optimization lies in systems that continuously learn, predict, and adapt in real time—eliminating the need for manual tuning altogether. As AI and machine learning evolve, cloud environments will become fully self-managing, dynamically balancing cost, performance, and sustainability. I envision a future where businesses can focus entirely on innovation while the cloud intelligently optimizes itself in the background.

Sr Platform Engineer, EPAM

India

About

A Senior Cloud Engineer passionate about AWS, Kubernetes, Terraform and DevOps automation. I actively participate in AWS, Terraform, AI & ML, and Kubernetes community events, love mentoring students and enjoy discussing technology. Outside of work, I’m a badminton enthusiast and thrive on continuous learning and sharing knowledge through talks, blogs, and meetups.

Why Cast AI?

I chose Cast AI because it simplifies Kubernetes cost optimization, security and compliance through an easy-to-use, agent-based approach. As a Platform Engineer, I value how effortlessly it drives efficiency and resilience across complex clusters.

Future of APA

The future of autonomous cloud optimization lies in intelligent systems that continuously learn and adapt to workloads in real time. I envision platforms that not only optimize cost and performance automatically but also proactively ensure security, compliance and sustainability. This will empower engineers to focus more on innovation while the cloud optimizes itself.

System Architect, EPAM

India

About

Seasonal Architect with 17+ Years in multiple Domains

Why Cast AI?

Future of APA

Future relay on automation and optimization, which are the key aspect in cloud, its really needed

Site Reliability Engineer, Obmondo

India

About

I am a Computer Science student with a passion for software. I am a CKA and currently working as a SRE at Obmondo. I am a LFX graduated mentee (Term 2, 2024), before that I used to work as a technical writing intern at GeeksforGeeks, and before that I worked as a web dev intern at Hooman Digital. I am Linux Foundation Scholar, Microsoft Learn Student Ambassador. My primary tech stack is Golang + Kubernetes. I actively contribute to the CNCF ecosystem, I am a contributor and org member at CNCF KubeEdge, and previously a official contributor at CNCF Kyverno.

Why Cast AI?

I read about the APA program on LinkedIn and have been to Cast AI's booth twice at two KubeCons. I was interested in how Cast AI is reducing K8s cost, so when I got to know about the program I just dived into it and completed it in 3 days. I love challenges like these - it's a great excuse to learn something new.

Future of APA

I think the future will be like moving beyond just monitoring K8s costs to a fully automated, GitOps-driven approach where the infrastructure continuously optimizes itself. Instead of engineers having to manually right-size nodes or chase spot instances, it can be handled by someone.

AI & DevOps Engineer , Tata Consultancy Services

India

About

Tech enthusiast and Multi Cloud certified Specialized in Microsoft Azure, AWS and GCP, working with DevOps Automation, Machine Learning, Learning Quantum Computing.

Why Cast AI?

Cast AI main reason is Kunal Das explanation of live pod migration session. This is the main reason for me to check what Cast AI do and I am happy for choosing it.

Future of APA

The next upcoming thing is the AGI artificial general intelligence for that we need to make the AI agents and the subsystems automated, automation in resources provisioning infra, in the shell scripts to make the desired work, workflow management via scripts and much more.

Computer Scientist, Edgeverve Systems Limited

India

About

I am Software Engineer with 20 years experience in Various Tech stacks like, NodeJS, Java. Currently working as a FOSS Expert.

Why Cast AI?

I came to know about Cast AI from a Developer Meetup and was excited to see a tool that could help gain insights in K8s Workload Optimization especially COST aspects.

Future of APA

Hope Future Automation Thinks about disc type, adding tools like caching server, Developer centric systems etc.

Technical Blogger, Hashnode

India

About

Cloud-Native and DevOps Engineer driven by the love of computers. I build scalable, automated systems using Kubernetes, AWS, and Terraform. Passionate about open source, CNCF communities, and simplifying the cloud through writing and collaboration.

Why Cast AI?

I chose Cast AI because it’s solving one of the biggest challenges in cloud-native adoption the steep Kubernetes learning curve. Managing and optimizing clusters traditionally requires highly skilled engineers and constant manual tuning. Cast AI changes that by using automation and machine learning based forecasting to optimize workloads, reduce costs, and simplify operations. It allows teams to leverage the power of Kubernetes without needing to invest months in deep platform expertise or large DevOps teams, ultimately making cloud efficiency more accessible and intelligent.

Future of APA

The future of autonomous cloud optimization is about simplifying complexity. As platforms evolve, I see maintainers and teams managing deployments, clusters, and performance entirely through intuitive dashboards without needing to dive deep into debugging or intricate Kubernetes internals. Tools like Cast AI are paving the way for this shift, making cloud native accessible to every organization by reducing operational overhead and abstracting away the complexity. Soon, intelligent automation and ML-driven insights will handle what once required a full DevOps team enabling engineers to focus more on innovation and less on maintenance.

Lead AI Engineer, Royal Bank of Canada Borealis

Canada

About

AI engineer who constantly seeks for advanced technology.

Why Cast AI?

I have applications that utilize Kubernetes and experienced situations where managing pods became inefficient, and eventually we were wasting resources.

Future of APA

As more resources are required nowadays e.g. for AI work, optimization of cloud systems will be needed to achieve cost savings.

Alliance Partner, SCC France

France

About

I am a cloud and automation enthusiast with a strong background in Kubernetes and DevOps, always looking for innovative ways to make infrastructure more efficient and reliable. I enjoy exploring technologies that transform how teams operate and scale. My goal is to help organizations get the most out of the cloud while reducing operational complexity.

Why Cast AI?

I chose Cast AI because it delivers a truly automated, practical, and effective approach to cloud optimization something very few platforms achieve at this level. The ease of integration, transparency of savings, and power of the optimization engine immediately stood out. I also appreciate Cast AI’s ambitious vision and the strong technical ecosystem behind the product.

Future of APA

I believe the future of cloud optimization is fully autonomous, driven by intelligent engines capable of adjusting resources in real time based on actual demand. Organizations will continue to seek cost reduction, performance improvements, and simplification of operations, making automation essential. Ultimately, autonomous optimization will become a native, expected capability rather than a manual process.

Alliance Manager, SCC France

France

About

As an Alliance Manager within the Enterprise Solutions division at SCC France, I lead our partner strategy across key ecosystems: public and sovereign cloud, FinOps optimization, Data & AI, Cybersecurity, and DevOps. Together with my team, I support our internal stakeholders and clients in defining and adopting innovative, high-performance, and secure solutions to accelerate their cloud transformation and maximize business value. As a committed leader passionate about technology alliances, I design high-impact programs and build lasting synergies between partners, internal teams, and customers to drive growth and operational excellence.

Why Cast AI?

I chose Cast AI because the platform delivers a truly differentiated and fully automated approach to Kubernetes optimization, achieving levels of efficiency that traditional tools simply cannot match. In a context where FinOps, performance, and cost control have become critical priorities, Cast AI’s ability to generate immediate and measurable ROI is a major advantage for our customers. It is a strategic technology partner that fits seamlessly into our cloud, FinOps, and managed services offerings, strengthening our ability to drive intelligent and sustainable cloud optimization for our clients

Future of APA

The future of cloud optimization will rely on intelligent, continuous, and fully integrated automation across multi-cloud environments. As Kubernetes architectures and hybrid cloud landscapes become increasingly complex, only truly autonomous solutions will be able to ensure performance, visibility, security, and cost control at scale. I’m convinced that AI, advanced automation, and autonomous remediation will be essential pillars of tomorrow’s FinOps, fundamentally transforming how organizations operate and optimize their cloud environments.

Cloud & DevOps consultant, Devoteam

France

About

I’m passionate about automation, cloud innovation, and digital transformation, and I thrive on building platforms that make technology invisible, so teams can focus on impact. Always open to connecting with fellow cloud architects, DevOps enthusiasts, and platform engineers to share ideas and explore opportunities.

Why Cast AI?

I was looking for a solution to get better visibility into my EKS clusters, and colleagues at my company told me about Cast AI. After completing the Cast AI training, I was really impressed.

Future of APA

Generative AI & Data Science Engineer , BigTapp Analytics

India

About

I am an AWS Community Builder in the AI Engineering track. I work as a Generative AI & Data Science Engineer at BigTapp Analytics, where I build cloud-native intelligent systems. I am passionate about Agentic AI, AI Security, LLMOps, and exploring cutting-edge topics in generative AI. On my Medium and DEV blogs, I write about AWS, AI, and developer productivity.

Why Cast AI?

Cast AI stood out because it consistently demonstrates significant cloud cost savings while improving cluster performance. Its autonomous optimization and real-time insights make it a powerful partner for teams running mission-critical workloads.

Future of APA

The future lies in AI-powered optimization that not only cuts costs but also reduces resource waste and improves sustainability. Autonomous systems will help companies run greener, more efficient infrastructure with minimal manual intervention.

Cloud Engineer, CloudJournee

India

About

I am Pooja Dhumal, Cloud Engineer specializing in building scalable, secure, and efficient cloud solutions. With a strong passion for automation and modern cloud technologies.

Why Cast AI?

I’m excited about Cast AI because of its innovative approach to Kubernetes automation and cost optimization, which aligns perfectly with my passion for cloud efficiency. I admire how Cast AI combines intelligent automation with real-world impact.

Future of APA

The future of autonomous cloud optimization will be driven by intelligent, self-managing systems that continuously analyze workloads and make real-time decisions without human intervention. As cloud environments grow more complex, automation powered by AI will ensure maximum efficiency, cost savings, and resilience.

Pre-Sales Engineer, Cloud Bridge

South Africa

About

Dedicated Pre-Sales engineer passionate about helping customers operate more efficiently, save costs and realise the value that their applications and systems provide.

Why Cast AI?

Cast AI provides ease of management for customer container workloads and supports the scaling and growth in complexity of customer environments without the need to increase the focus on administrative management by tech teams, helping them stay agile, save costs and secure their workloads with ease.

Future of APA

autonomous cloud optimisations means teams can now focus on their daily tasks that add value to organisations and do not have to worry about the management and scaling of infrastructure to support the growth or reduction in workload compute requirements, while benefiting from maximum cost savings and optimal resource utilisation.

Cloud Architect, SFEIR

France

About

Cloud architect working for Sfeir. Passionate about opensource and security. Conference speaker and articles writer on sfeir.dev.

Why Cast AI?

Automated solution for finops, closed to the kubernetes internals.

Future of APA

With the huge amounts of workloads and technical implementations, we need to be confident of delegating supervision and operationnal actions to reliable tools.

Lead Senior Software Architect, Tietoevry

About

I have 20+ years of experience mainly in Java & Micro Services. Passionate about learn and know about the new Tech stacks horizontally like learning multiple tech stacks. More passionate on Cloud, AI and K8S. Working in DevSecOps and DevOps.

Why Cast AI?

It enhances cluster efficiency with real-time analytics and intelligent workload distribution, ensuring high performance and cost savings. Seamless integration with multiple clouds. In one of the events, saw the power of the Cast AI on live K8S Pods migration. From then, i am so much like the Cast AI.

Future of APA

The future of autonomous cloud optimization is promising, with advancements in AI-driven algorithms enabling more precise and dynamic resource management. I believe AI-driven systems will handle real-time scaling, cost control, and performance tuning with minimal human intervention, making cloud operations fully self-managing. This will allow engineers to focus more on innovation and architecture rather than manual maintenance and optimization.

Cloud Support Engineer, SAP Fioneer

India

About

Experienced Cloud Support Engineer being at the forefront of delivering reliable, scalable, and secure cloud solutions and AI enthusiast

Why Cast AI?

Cast AI automatically optimizes Kubernetes cloud costs and performance by continuously rightsizing, autoscaling and labs are designed well and the platform looks promising

Future of APA

The future of autonomous cloud optimization will feature AI-driven systems that dynamically allocate resources, optimize costs, and self-heal across multi-cloud environments without human intervention. As these systems mature, they’ll integrate predictive analytics to anticipate demand.