Sedai

I’m looking forward to speaking at GDG Cloud Southlake #42 on AI-Driven Resource Optimization! Join me on April 30 as we dive into how AI is changing cloud efficiency. I can’t wait for the discussions—see you there! Thanks, James Anderson—I’m glad to be a part of it!

What would you do with that money saved if you could pull cost out of your business? If you use the cloud, a FinOps practice is a must-have. Sedai tries to go beyond traditional FinOps tools by also considering workload performance. Sedai helps make the recommended changes safely by incrementally moving towards recommended configurations and continually monitoring for performance degradations. Thank you to Dylan G. and Jeremy Levenson for joining Sabre Corporation's Architecture Guild to show us how Sedai can automagically help bring costs down while keeping performance where it needs to be. #sabre #sedai #sabrearchitectureguild #insidetheshift

My latest piece on how AI can deliver FinOps in organizations #FinOps #CloudComputing #ArtificialIntelligence #AIAgents

?? A Huge Thank You to Our Gold Sponsor: Sedai! ?? We’re thrilled to welcome Sedai as a Gold Sponsor for DevOpsDayLA 2025! ???? Sedai is pioneering the future of Autonomous Cloud Optimization, helping engineering teams reduce latency, cut costs, and improve reliability—all without human intervention. By leveraging AI-driven automation, Sedai empowers DevOps and SRE teams to move from reactive to proactive operations, making autonomous infrastructure management a reality. At DevOpsDayLA, we’re all about efficiency, scalability, and innovation—which is why we’re excited to have Sedai supporting Southern California’s DevOps and cloud-native communities as we come together for a day of learning, networking, and collaboration. Thank you, Sedai, for helping teams unlock next-level performance optimization and for being a key part of DevOpsDayLA 2025! ?? #DevOpsDayLA #SoCalTech #Sedai #AIforDevOps #AutonomousCloud #CloudOptimization #SCaLE22x #SiteReliability #CloudComputing

?????? ?????? ???????????????????? ???? ?????????? ????????????????????????: ???? ?????? ?????????????? ?? We analyzed feedback from real customers struggling with cloud optimization challenges, and the data tells an interesting story. Here's a breakdown of the most common pain points: ?? ???????????????????????????? ???????????????????? (????.??%) Kubernetes clusters, custom gateway configs, and intricate deployments create environments that few teams fully understand. ?? ?????????????????????? ???????????? (????.??%) Balancing cost reduction with performance needs is the ultimate optimization challenge that keeps teams up at night. ?? ???????? ???????????????????? (????.??%) From multi-account environments to container cost attribution, tracking and allocating cloud spending effectively remains a significant challenge. ??? ?????????????? ???????????????????????? (????.??%) Frequent redeployments and configuration changes create a moving target where yesterday's optimization is today's bottleneck. ?? ???????????? ?????????????????? (??.??%) Teams face a high volume of optimization opportunities but lack the time to implement them manually – especially for low-value changes. ?? ???????? ???? ???????????????????? (??.??%) Limited insight into resource usage, especially in container environments, makes optimization decisions challenging. ?? ???????????????? ???????????????????????? (??.??%) Right-sizing resources efficiently, especially with counterintuitive optimizations like Lambda memory allocation, requires specialized knowledge. ?? ???????????????????? & ???????????????????? (??.??%) Cultural resistance to automated changes in production environments where stability is prioritized over cost savings. ?? ?????????? & ?????????????????? ???????? (??.??%) Cloud optimization requires specialized knowledge that's often scarce or spread across different teams. ?? ???????? ?????????????????????? (??.??%) Teams facing urgent deadlines and busy workloads struggle to prioritize optimization activities. ?? ?????????????????????? ???????????????????? (??.??%) Fitting optimization into existing GitOps workflows and approval chains requires careful implementation and cross-team coordination. ?? ?????? ?????? ?????????? ?????????? ?????????? ?????????????? ???????????????????? ???????? ?????????????? ???????? ?????? ??????????????????? When these challenges combine, the traditional approach of manual optimizations and tool-generated recommendations simply can't keep up. ?? ?????? ???????????????????? ???????????????? At Sedai, we've built an autonomous cloud optimization platform that addresses these challenges by eliminating manual workloads and safely implementing optimizations that balance performance with cost—all while adapting to your dynamic environment. What optimization challenges are your teams struggling with most? We'd love to hear your experiences in the comments. #cloudcostmanagement #kubernetes #FinOps #SRE #PlatformEngineering

The 2025 FinOps Report reveals the "Era of Cloud+" is stretching teams thin. Three findings that caught our attention: 1?? ???????????????????????? ?????????????? ?????? ???????????????? Optimization is still #1 for 50% of teams Governance becomes more important as complexity grows Organizations continue seeking cost reduction without sacrificing value 2?? ?????????? ?????? ?????????? ???????? ???????? ???????? Managing 12 capabilities while reducing only 1-2 20% YoY increase in demand for automation Expanding beyond cloud to SaaS (65%), Licensing (49%), Private Cloud (39%) 3?? ???? ???? ?????? ?? ?????????? ?????????? 63% now manage AI costs (doubled from last year) 97% investing across multiple infrastructure types Focus is still on visibility, not yet optimization At Sedai, we're focused on helping these stretched teams automate the hardest part: workload optimization that adapts to your changing environment without constant manual effort. Great insights from the FinOps Foundation - excited to see how the community responds to these challenges! #FinOps #cloudcostoptimization #goautonomous #AI #SRE #PlatformEngineering #cloud

?? Platform Engineering leaders: The AI wave is here - ready to turn it into meaningful wins? In a recent presentation to the Platform Engineering community Ramesh Nampelly, Palo Alto Networks Senior Director of Cloud Infrastructure and Platform Engineering shared how they tackled this opportunity methodically, evaluating AI initiatives based on value versus effort. Their analysis identified four promising high value lower effort initiatives (in the top right quadrant in the video): ?? ????????-???????????? ??????????????????????: ? AI-powered coding assistants for automated code review and optimization ? AI-driven resource optimization for cloud infrastructure ? Automated test case generation for improved coverage ? AI-assisted RCA for streamlined incident response ?? ?????????? ????????????: ? Accelerated PR cycles with 12% of new code AI-generated ? $3.5M in infrastructure savings with 46% reduction in Kubernetes costs ? Enhanced test coverage and quality metrics ? Dramatically reduced incident response times ?? This straightforward value-versus-effort approach helped PANW focus their AI investments on practical initiatives that delivered results. As AI capabilities mature, additional opportunities in areas like microservices architecture and design patterns will become increasingly viable. ? Want to learn more about how Palo Alto selected and implemented these AI capabilities to enhance their platform engineering? Watch the full presentation in the comments! #PlatformEngineering #CloudOptimization #goautonomous #AI #AIAgents

?? "Just make it exactly like production" - when this becomes your default approach to pre-production and DR environments, the costs can add up dramatically. Varsha Sundar, VP of Global Cloud FinOps at Chubb, shares a better way: Challenge the assumption that pre-production and DR environments need to be exact production replicas. While teams often default to full-scale copies citing testing or recovery needs, Varsha points out this creates unnecessary cost overhead. The key is finding the right balance through thoughtful architecture decisions that maintain capabilities while scaling these environments appropriately. Watch the full episode to discover more of the insights Varsha shares with Suresh Mathew: Apple: https://lnkd.in/gUDAgJCT Spotify: https://lnkd.in/gSC7YsFt YouTube: https://lnkd.in/gK4xBjGc Sedai Website: https://lnkd.in/gQ5J_keM #FinOps #CloudCosts #CloudOptimization

?? ???????? ?????????? ?????????? ?????????? ???? ????%, ???????????????????? ???? ???????????? ?????? ?????????????????? ?????? ?????????? ???? ?????????? ????????????????????????. In this video, Suresh Mathew, Founder and CEO of Sedai, breaks down how our team of specialized AI agents works together to optimize cloud operations: ?? Our specialized team of AI agents works together, each focused on a critical aspect of cloud operations: ?? ?????????? ???????? ?????????? drives improved margins ?? ?????????????????????? ?????????? enhances customer experience ??? ???????????????????????? & ???????????? ???????????? ensure resilient infrastructure ?? What makes these agents truly intelligent? Our advanced models: ?????????????????????????? ????????????????: Agents learn from millions of decisions, balancing cost optimization with performance to deliver consistent business outcomes ??????????????????????: Predict and adapt to usage patterns ??????????????????: Map relationships between actions and outcomes ?? The agents get smarter by analyzing: Service taxonomy across your cloud environment Real-time monitoring metrics from your preferred tools (Datadog, New Relic, Prometheus) Custom SLOs and business goals ?? For enterprise teams, all changes integrate with your IaC workflow through PR requests and ITSM systems. ?? See it in action: When an application has excess CPU allocation, our agents use reinforcement learning to model the impact first. Result? 40% cost reduction with zero performance impact - something traditional automation can't achieve. Want to see zero-risk cloud optimization in action? Book a demo at sedai.io/demo #CloudOptimization #AIAgents #DevOps #AWS #Kubernetes #SRE #PlatformEngineering #FinOps #goautonomous #cloudcostmanagement

?? Big Cloud Optimizations Start Small A powerful insight from Jordan Chernev, who drove $46M+ in cloud savings at Wayfair: Focus on the 20% of optimizations that deliver 80% of the impact. As an experienced platform engineering leader who managed cloud spend at just 0.75% of revenue, Jordan emphasizes starting with high-leverage opportunities to build organizational momentum: "Start small, do your discovery, and identify opportunities that give you the biggest bang for the buck with the lowest amount of effort." From there, you can develop optimization muscle through best practices, spend champions, and localized P&L ownership - proven approaches that helped Jordan's team scale efficiency across a 150-person platform engineering organization. Watch the full episode to learn Jordan's complete framework for building a culture of continuous optimization: Sedai website: https://lnkd.in/g9Jpfngv Apple: https://lnkd.in/gRPjczeQ Spotify: https://lnkd.in/gFUPdDp6 YouTube: https://lnkd.in/gRE6RKcx #FinOps #CloudCosts #PlatformEngineering #AWS #CloudOptimization #goautonomous