CAST AI, the Kubernetes automation and cloud cost management platform, will attend AWS re:Invent in Las Vegas, USA, from November 28 to December 2, 2022.
AWS re:Invent is the most transformative tech event. For 10 years, the global cloud community has gathered to meet, get inspired, and rethink what’s possible. The 2022 edition is expected to be the biggest, most comprehensive, and most vibrant event in cloud computing of the year.
CAST AI is supporting this year’s conference as a sponsor, and its team will be giving free Kubernetes cost management and optimization advice in booth 2346. Although consultations will take place on an ongoing basis, booking a slot in advance is recommended (reserve it here).
The CAST AI team will also share stories of companies that have used the platform to reduce their cloud spend dramatically. For example, ShareChat, India’s fastest-growing unicorn and the largest social media company in the region, has already achieved significant savings and is expected to reach more than a million in annual savings in cloud bills.
“We’re excited to attend this year’s edition of AWs re:Invent, it’s easily one of most important events in the cloud computing ecosystem. We look forward to discussing the most pressing issues such as cloud ROI and security with experts from all over the world, and share our lessons learned from operating in the cloud optimization space,” said Laurent Gil, Chief Product Officer and Co-Founder at CAST AI.
CAST AI recently announced the release of Security Insights, a security analysis tool that fully integrates into CAST AI’s signature cloud optimization platform. With the addition of Security Insights, CAST AI brings together a comprehensive suite of tools for automating Kubernetes cost reduction, cloud resource provisioning, and security monitoring across Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.
About CAST AI:
CAST AI is the leading Kubernetes automation platform for AWS, Azure, and GCP customers. CAST AI goes beyond monitoring clusters and making recommendations; the platform utilizes advanced machine learning algorithms to analyze and automatically optimize clusters in real time, saving customers 50% or more on their cloud costs, and improving performance and reliability to bolster DevOps and engineering productivity.
Learn more: https://cast.ai/
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