Catch all the technical and leadership sessions from autocon/23, the autonomous cloud conference for platform engineering, SRE and DevOps teams looking to drive performance, cost and availability gains with autonomous cloud platforms.
All content for autocon/23 is the property of Sedai and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Catch all the technical and leadership sessions from autocon/23, the autonomous cloud conference for platform engineering, SRE and DevOps teams looking to drive performance, cost and availability gains with autonomous cloud platforms.
Autonomous Optimization for Kubernetes Applications and Clusters
autocon/23
35 minutes
1 year ago
Autonomous Optimization for Kubernetes Applications and Clusters
00:22.01 Introduction to Speaker and Session
01:18.50 Understanding Request and Limits in Kubernetes
02:35.48 Understanding CFS Shares and Quota
05:52.56 Best Practices for Setting Resources
07:03.11 Challenges in Managing Kubernetes
08:54.54 Auto Scaling Solutions in Kubernetes
10:07.11 Complexities Requiring Machine Learning and Autonomous Systems
12:01.14 Comparison of Tools and Approaches in the Industry
14:14.77 Rightsizing Workloads and Performance Optimization
20:50.09 Node Optimization and Selection
23:26.55 Monitoring-based Optimization
24:37.05 Application Performance and Memory Optimization
26:14.41 Cost Reduction through Workload Optimization
28:23.65 Hybrid Approach for Predictive and Reactive Scaling
31:12.24 AI Engines and Anomaly Detection
33:23.41 Autonomous Approach in Kubernetes
autocon/23
Catch all the technical and leadership sessions from autocon/23, the autonomous cloud conference for platform engineering, SRE and DevOps teams looking to drive performance, cost and availability gains with autonomous cloud platforms.