In FinOps, cost is not the problem - it's a symptom of deeper engineering challenges. Meet Dany Daya, Director of FinOps and Cloud Strategy at Etsy, a marketplace connecting 96.7M buyers and 8.5M sellers in nearly every country in the world. Dany transformed FinOps at Etsy to

Key takeaways:. 1️⃣ Platform engineering success comes from shifting focus from technology to end-users. Jordan shares how empathy sessions and direct customer feedback transformed their approach, leading to higher adoption rates and better outcomes. The key is understanding user.

What are the keys to a successful developer platform? . In this episode of The Future of Cloud Optimization, Suresh speaks with Jordan Chernev, a Senior Technology Executive with extensive experience in Platform Engineering and SRE in e-commerce, retail and real estate. As

🎉 Thrilled to see Sedai mentioned at the SIERRA Ventures' CXO Summit! Great to see our AI-powered configuration management capability is resonating. Thank you, Mark Spykerman, for the fantastic feedback!. #AI #PlatformEngineering #goautonomous #cloudcostmanagement

RT @kubernetesio: We’re so excited to turn 10 years old tomorrow, on June 6th! Thank you so much to everyone who has participated in birthd….

Follow us for more or check our website to learn about our autonomous cloud management platform powered by AI/ML for continuous optimization. #cloudmanagement #cloudcost management #AI #ML #goautonomous.

6. Adaptability: Autonomous systems are designed to continuously learn and adapt to changing demands, ensuring that cloud resources are optimized in real-time for performance and cost, regardless of how dynamic the environment may be.

5. Employee Retention: Autonomous management shifts the focus of SRE, DevOps and other operationally focused teams from fire-fighting to innovation, which reduces incident stress and burnout risks but also leads to more fulfilling careers. Satisfied employees stay longer.

4. Release Quality: AI systems provide intelligence on new releases, offering scorecards that cover cost, latency, and errors. This helps in quickly identifying and rectifying potential issues, thus enhancing the overall quality of releases.

3. Improved Customer Experience: By reducing latency and ensuring high availability, autonomous systems help support faster, more reliable services for end-users directly contributing to better customer experiences.

2. Time Savings: The reduction of toil - the repetitive, predictable, manual work - is a critical outcome of autonomous cloud management. Reducing the cognitive load on engineers, enables focus on strategic tasks, rather than being bogged down by operational management.

1. Cloud Cost Savings: Through intelligent AI-powered continuous optimization, companies can reduce cloud spend by up to 50% in production and even higher in development stages. Key levers include resizing resources, optimizing configuration settings, and discount plans.

Autonomous cloud management is emerging as a game-changer for modern digital businesses, but the full value is realized over time in obvious and not so obvious ways. Here are 6 benefits:.#cloudmanagement #cloudcostmanagement #AI #ML #goautonomous #aiagents

#autocon23, the autonomous #cloud conference, kicks off tomorrow! 🚀. Learn how teams at Paypal, Palo Alto Networks and more deploy #autonomous systems to optimize modern apps for cost, performance, and availability—while reducing manual toil. Register now: 👉

RT @theCUBE: Set your reminders, gather your team, and get ready for an unforgettable event that will supercharge your analytics and revolu….

Don't miss Sedai on today's #AWS Startup Showcase with @theCUBE. Learn how Sedai is taking #FinOps to new heights with AI-powered autonomous optimization! #aiops #costoptimization #cloudmanagement #devops #sre

Excited to be part of #AWS Container Day during #KubeConEU by.@CloudNativeFdn this year. Join Sedai during the AWS Partner Panel to see how we're helping Kubernetes users scale cost optimization using AI/ML. Register for free here: