Sedai

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 Senior Director of Global Platform Engineering at Wayfair, Jordan led a 150-person team, spearheading Wayfair’s modern, cloud-native, GenAI-powered, developer platform that increased developer velocity 4x. He also drove $46M+ in cloud cost savings, keeping cloud spend at just 0.75% revenue. Jordan shares how to build successful internal developer platforms and optimize cloud costs at scale: 🔵 How to transform platform engineering from a constraint to an enabler 🔵 A proven 12-month model for embedding optimization experts within product teams 🔵 Strategies for balancing cost optimization with customer experience through service tiers 🔵 The emerging role of AI in cloud cost negotiations and optimization 🔵 Building a culture of continuous optimization to drive efficiency and profitability Listen now: Sedai website: https://lnkd.in/g9Jpfngv Apple: https://lnkd.in/gRPjczeQ Spotify: https://lnkd.in/gFUPdDp6 YouTube: https://lnkd.in/gRE6RKcx 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 pain points before building solutions. 2️⃣ The "educate, transition, and handoff" model proves highly effective for embedding optimization expertise. Over 12 months, optimization experts work directly within product teams, gradually transferring knowledge and ownership. This approach ensures sustainable cost management practices that stick. 3️⃣ Service tiers with well-defined SLAs are crucial for balancing cost and experience. By clearly defining performance expectations and cost implications, teams can make informed decisions about resource allocation. This structured approach helped Jordan's teams achieve significant cost savings while maintaining customer satisfaction. 4️⃣ AI is impacting cloud cost management beyond basic optimization. From analyzing complex pricing structures to enhancing contract negotiations, AI tools are uncovering hidden savings opportunities that human analysts might miss. Jordan shares practical examples of how AI-driven insights led to substantial cost reductions. 5️⃣ Building a culture of continuous optimization requires more than tools and processes. It demands leadership buy-in, cross-functional collaboration, and clear success metrics. Jordan reveals how his teams track adoption rates and customer outcomes to demonstrate the business impact of optimization efforts. #CloudOptimization #PlatformEngineering #FinOps #CloudCosts #SRE #DevOps #goautonomous

🤝 I’ve been reviewing the feedback on EKS Auto Mode and wanted to share some of what I’ve learned by reading the work of some great tech leaders who have shared their insights already.  Grateful to the work by the following people: 💡 Nathan Taber & the team at AWS  💡 Prashant Lakhera from Salesforce 💡 Gajanan Chandgadkar from HP Inc 💡 Ahmed Bebars from The New York Times 💡 Vijay Kumar Kodam from Nokia 💡 Imran Muhammad from Humber Polytechnic 💡 Mihir Kagrana from Sunflower Lab 💡 Sarvar Nadaf from Deloitte 💡 Edward Targett from The Stack 🔍 We explored the advantages, challenges, and the practical implications of this game-changing feature for different organization sizes and use cases. 🎯 𝗞𝗲𝘆 𝗳𝗶𝗻𝗱𝗶𝗻𝗴𝘀: ✨ Significant operational benefits as many tasks are automated ✨ Ideal for small to medium organizations and educational environments ✨ Trade-offs between automation and customization need careful evaluation, especially for larger EKS users ✨ 10-15% cost premium should provide compelling ROI for smaller EKS users Read the full analysis below. What's your take on EKS Auto Mode? Share your thoughts below 👇 #aws #kubernetes #cloudcomputing #DevOps #SRE #PlatformEngineering #EKS #goautonomous #cloudcostoptimization

🚀 𝗜𝘀 𝗔𝗜 𝘀𝗮𝗳𝗲?  Rachit Lohani, CTO of Paylocity, gives his point of view and makes parallels with the adoption of another technology, the car. In our latest Future of Cloud Optimization podcast, 𝗥𝗮𝗰𝗵𝗶𝘁 𝗟𝗼𝗵𝗮𝗻𝗶 notes just as we made automobiles safe through traffic systems, signals, and rules of the road, AI success depends on building the right guardrails. 🎯 His key insights: → AI success depends on how we implement and control AI models → The right guardrails make all the difference 🎧 Hear Rachit's thoughts on making AI both powerful and trustworthy - see the link in the comments. #AI #CloudComputing #DevOps #SRE #PlatformEngineering #AIGovernance # #AIStrategy #ResponsibleAI

📊 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝘃𝗲 𝗥𝗲𝘀𝘂𝗹𝘁𝘀: Real Enterprise Stories of Autonomous Cloud Optimization 🎯 While fragmented FinOps tools leave significant savings on the table and create incident risks, Sedai's AI-powered autonomous optimization is delivering transformative results. Here's how leading enterprises are taking advantage of a new way to manage cloud resources: 💫 𝗣𝗮𝗹𝗼 𝗔𝗹𝘁𝗼 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 on GCP → Kubernetes optimization across Dev/Test & Production → 46% cloud cost reduction → $3.5M projected value → Full compliance with automated safety controls → Complete optimization audit trail 🚀 𝗞𝗻𝗼𝘄𝗕𝗲𝟰 on AWS → Mixed workload optimization: 3,000 ECS services & 2,500 serverless functions → 27% cloud cost reduction → 5-month ROI achievement → Autopilot running on 98% of services → Advanced Infrastructure-as-Code integration ⚡ 𝗧𝗼𝗽 𝟭𝟬 𝗟𝗼𝗴𝗶𝘀𝘁𝗶𝗰𝘀 𝗖𝗼𝗺𝗽𝗮𝗻𝘆 → On-prem Kubernetes on VMware → 35% compute cost reduction → Eliminated overprovisioning → Automated safety controls 💊 𝗧𝗼𝗽 𝟭𝟬 𝗣𝗵𝗮𝗿𝗺𝗮 𝗖𝗼𝗺𝗽𝗮𝗻𝘆 on Azure → VM-focused optimization where containerization wasn't suitable → 28% cloud cost reduction → 90% reduction in optimization effort → Vertical rightsizing focus 🎯 𝗧𝗵𝗲 𝗣𝗮𝘁𝘁𝗲𝗿𝗻 𝗶𝘀 𝗖𝗹𝗲𝗮𝗿: → Significant cost savings (27-46%) across all platforms → Applicability across cloud-native and traditional workloads → Autonomous operations with strong safety controls → Enterprise-grade integrations, compliance and governance → Flexible deployment models (Autopilot/Copilot) to match readiness → Enables platform teams to focus on strategic initiatives

And that’s a wrap on AWS #reInvent2024 🎉🚀 A huge thank you to our partners, customers, and the incredible Amazon Web Services (AWS) community for connecting with us in Vegas this week. At Sedai, we’re proud to be part of the movement toward proactive reliability and autonomous operations in the cloud. Seeing how these conversations have evolved at re:Invent inspires us to continue driving innovation and empowering teams to achieve more with less. From groundbreaking keynotes to hands-on learning sessions, we’re leaving re:Invent energized and excited for what’s next —see you next year! 🫡 #AWSreInvent #CloudOptimization #Sedai #autonomy Suresh Mathew Benjamin Thomas Nikhil Gopinath Kurup Oksana (Gerasymchuk) Patel 🇺🇦 Jeremy Levenson Dylan G.

Surprisingly larger companies report higher cloud waste than smaller companies. It's challenging due to the sheer scale of services, the wider range of cloud services used, and having potentially hundreds of engineering teams involved. The Sedai engineering team has been hard at work creating a scalable optimization approach that can handle hundreds of thousands of cloud services. If you're a scale cloud user (approx ~$50M+ a year in cloud spend) our CTO Benjamin Thomas can walk you through what we've learned.

📈 We're hiring for four roles in our Trivandrum, India office! 1️⃣ Software Engineer (1-3 years) 2️⃣ Sr Software Engineer (3-5 years) 3️⃣ Staff Engineer (5-8 years) 4️⃣ Sr Staff Engineer (8-13 years) Go to bit.ly/sedaihiring and complete your application! #java #react #sre #cloud #swe

🚨 𝗕𝗿𝗲𝗮𝗸𝗶𝗻𝗴: Intel is shutting down Granulate in Q1 2025. As a fellow leader in autonomous workload optimization (recognized alongside Granulate in Gartner's recent Innovation Insight report), Sedai can help keep Granulate users's optimization journey on track: 🏢 𝗧𝗿𝘂𝘀𝘁𝗲𝗱 𝗯𝘆 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗟𝗲𝗮𝗱𝗲𝗿𝘀: ✨ Palo Alto Networks ✨ HP ✨ Experian ✨ KnowBe4 🎯 𝗪𝗵𝘆 𝗟𝗲𝗮𝗱𝗶𝗻𝗴 𝗢𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗦𝗲𝗱𝗮𝗶: 💫 Up to 50% cloud cost reduction 💫 Advanced AI with real-time decision making 💫 Broad service coverage: K8s, ECS, VMs, Serverless, Storage & Data 💫 Multi-cloud: AWS, Azure, GCP 💫 Enterprise-grade security (SOC 2 Type II) 💫 15-minute deployment, no code changes 📈 𝗥𝗲𝗮𝗹 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 (𝗞𝗻𝗼𝘄𝗕𝗲𝟰 𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝘆): 🔹 27% cloud cost savings 🔹 98% autonomous operations 🔹 5-month ROI 🔹 1,000+ optimized microservices ⚡️ 𝗘𝘅𝗰𝗹𝘂𝘀𝗶𝘃𝗲 𝗚𝗿𝗮𝗻𝘂𝗹𝗮𝘁𝗲 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗢𝗳𝗳𝗲𝗿: 🎁 Special migration package 🔄 Up to 3 months parallel running ✅ Free enterprise trial / POC 🤝 Dedicated migration help 📚 Learn more about why current Granulate users are evaluating Sedai : https://lnkd.in/gi_C6H5U 🚀 Keep your optimization journey on track. Book your 30-min migration assessment: sedai.io/demo #goautonomous #cloudcostoptimization #kubernetes #aws #azure #gcp #SRE #FinOps #PlatformEngineering #cloudcomputing #devops

🎯 Attending AWS re:Invent? Don't miss your chance to learn about autonomous cloud optimization! 🤖 Stop by the Sedai booth, 𝗻𝘂𝗺𝗯𝗲𝗿 𝟮𝟲𝟳 on Sands Level 2, to learn how we're revolutionizing optimization for AWS: ✨ Optimize EKS, ECS, EC2, Lambda & more 💰 Cut cloud costs automatically ⚡ Enhance performance with zero manual effort 🎮 Get complete autonomous control 🎁 Plus, attend a demo for a chance to win a LEGO Star Wars set or iPhone! 🔍 See firsthand how Sedai's Cloud Cost Autopilot: → Safely optimizes your AWS services → Requires zero manual intervention → Maintains peak performance while reducing costs → Supports multiple AWS services including EKS, ECS, EC2, Lambda, EBS, S3, RDS & EMR 💡 Perfect for teams focused on: → FinOps & cost optimization → Platform engineering → Site reliability → DevOps excellence 🤝 Let's connect and discuss how Sedai can transform your cloud operations with autonomous optimization! #AWSreInvent #AWS #CloudOptimization #FinOps #PlatformEngineering #SRE #DevOps #CloudCosts #Kubernetes #Lambda #ECS #EKS #goautonomous #cloudcostmanagement

Are you struggling to optimize cloud costs while maintaining quality and speed in your products? Venkat Subramani, FinOps Lead at Mimecast, joins Suresh Mathew of Sedai on the latest episode of The Future of Cloud Optimization to share invaluable insights on balancing cost optimization with performance and delivery aligned to wider business goals. Venkat emphasizes the importance of integrating cost considerations into the early stages of product design, treating it as a first-class citizen alongside performance and security. Venkat also discusses practical strategies for building trust between finance and engineering teams, ensuring that everyone is aligned on goals. Tune in to discover how to navigate the complexities of FinOps - links to full episode in comments. #CloudOptimization #Automation #Scalability #InfrastructureAsCode #AI #SaaS #CloudComputing