Webinar
K8s Optimization: A DevOps Guide for Black Friday
Keep costs down and performance up on Black Friday or any other massive sales event
Summary
Join this webinar and learn essential strategies for ensuring your infrastructure is ready for the high-demand shopping season or any other peak event. This webinar is designed to help DevOps teams efficiently manage their Kubernetes environments during Black Friday, ensuring both cost savings and high performance.
You’ll learn how to keep costs down and performance up by implementing key practices:
- Eliminate Overprovisioning – Discover techniques to scale resources efficiently, optimize usage without compromising performance, and ensure your system handles surges without unnecessary costs.
- Maximize Spot Instance Savings – Learn how to automate Spot instance management, leveraging cost-effective options while maintaining availability so you save money without risking resource shortages.
- Reduce Manual Effort – Explore ways to streamline cloud management, minimizing manual interventions and giving your DevOps team more time to focus on strategic tasks.
The webinar will include a quick overview of the most common issues teams face during Black Friday, a discussion with our guests, a Q&A session with the audience, and a demo of an automation solution that helps boost resource utilization for AI workloads.
Speakers:
David Perks
Board Commercial Director,
Container Solutions
David is a retail industry expert with over 20 years of experience in FTSE100 retailers such as Tesco, Sainsbury’s, Kingfisher and BP. He has recently been a consultant lead at Accenture across EMEA for Cloud-first technology and joined the Container Solutions board as Commercial Director.
Achi Solomon
Director of DevOps,
Yotpo
Achi has 18+ years of experience across DevOps, leadership, and software development. Previously, as the Head of DevOps at Rapyd, Achi led a global team and mentored leaders.
Giri Radhakrishnan
Director of Product Marketing,
CAST AI
Giri is the Director of Product Marketing at CAST AI with 13 years of combined experience in engineering, as well as technical and product marketing. Specializing in positioning, messaging, and demand generation for cloud-native technologies, he’s dedicated to enhancing customer experience and driving strategic growth.