Sedai

?????????????? ???? ?????? ?????????? ???????????????????????? ????????????????? ?? ?????????? ???????????????????????? ?????????? ?????????? ???????????? ???????? ?????????? ?????????? ???????????????????????? ????????????????: ?? ?????????? ???????? ?????????????? - reducing wasted spend and maximizing efficiency ?? ?????????????????????? & ???????????????????????? - ensuring applications run optimally without disruption ?? ?????????????????????? ???????????????????????? - implementing optimizations without consuming valuable engineer time ?????? ??????????????????????????, ?????????? ?????????? ???????? ???????? ???????????????? ??????????????????, ?????????????? ?????????????????? ??????????????: ?? ?? ???????????? ????????????????????????: Teams spend countless hours tuning workloads, sacrificing engineering time that could drive innovation—yet still miss optimization opportunities as environments change ?? ?????????????????????? ???????????????????? ??????????: Organizations overprovision to avoid outages but waste money, as static rules can't adapt to dynamic workload patterns The real-world impact? Wasted cloud spend, missed performance opportunities, and engineering burnout. ?? ?????? ???????? ???? ?????? ?????????? ?????????? ?????? ????????????????? ? ???????????????????? ???????????????????????? delivers all three: ? 30-50% cloud cost reduction ? Enhanced application performance ? Minimal engineering effort Sedai's autonomous platform continuously learns, adapts to changing conditions, and optimizes all dimensions simultaneously after you set your goals. ??????????'?? ?????? ???????? ???? ?????????????????? ?????? ????????????????—?????????? ?????? ???? ?????? ?????? ?????????? ?????? ???????????????? ?????? ?????????? ???????????????? #cloudcostoptimization #kubernetes #SRE #PlatformEngineering #FinOps #cloudcostmanagement

?? ???????????????????? ???????????????????? ?????????????????? ??????????????????: ???? ?????? ???????????????????? & ???????????????????????? ?????????????? ?? Is your Kubernetes environment at risk? Many enterprises have critical gaps in their K8s management strategy - from cost leakage and performance issues to security vulnerabilities and disaster recovery blind spots. ??????? Even mature K8s implementations struggle with balancing the complex interplay of factors that impact resilience, performance, cost, and security. Our checklist maps key factors including: ?? ?????????????????????? ???????????????????????? ? Rightsizing workloads and infrastructure ? Intelligent autoscaling with traffic prediction ? Resource quotas and namespace limits ? Pod disruption budgets ?? ?????????????????? ???????????????????????? ? Reserved Instances / CUD strategies ? Spot instance optimization ? Billing anomaly detection ?? ???????????????????? & ???????????????? ? Dev/staging environment scheduling ? Resource cleanup policies ?? ???????????????????????????? & ?????????????????????? ???????????????????? ? Metrics and observability ? Service mesh implementation ? SLOs & SLA framework ? RBAC and security controls We've also developed a 5-level Management Maturity Spectrum that includes current state assessment and future state perspectives. This spectrum provides a point of view on how AI will transform Kubernetes management over time, offering valuable insights for forward-looking teams planning their optimization journey. ?? See comments for a high-res version of this checklist. At Sedai, we focus on helping teams with key aspects of this checklist, particularly in engineering optimization, scheduling/shutdowns, and financial optimization. Our autonomous cloud optimization platform can help reduce cloud costs while maintaining performance. #kubernetes #cloudcostoptimization #platformengineering #SRE #FinOps #aws #cloudnative #DevOps #K8s #EKS #GKE #AKS

?? Modernizing FinOps: From Complex Processes to Autonomous Optimization Does your FinOps process feel like a multi-team marathon when it could be an AI sprint? The traditional approach (top, from the FinOps Foundation) creates a bottleneck: Weeks-long optimization cycles Limited to hundreds of optimizations 4+ teams caught in coordination loops AI-driven approach transforms this: Minutes instead of weeks Thousands of optimizations, not hundreds 2 teams + AI doing the heavy lifting This is like upgrading from manual bookkeeping to automated accounting—same goal, exponentially better results. Ready to modernize your FinOps practice? Let's talk about how we can help you move from the left side of this diagram to the right. #FinOps #CloudCostOptimization #ArtificialIntelligence #GoAutonomous #CloudCostManagement

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