Podcast
autocon/23
Hosted by Sedai · EN
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.
10episodes
Episodes
Newest firstAll episodes
Autonomous Optimization for Kubernetes Applications and Clusters
Feb 11, 202400:35:00Tap to summarize00:22.01 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
Transcribe →Empowering Modern App Developers in the Autonomous Cloud Era
Dec 11, 202300:40:07Tap to summarize00:22.59 The Power of the Right Tools03:14.62 Optimizing Kubernetes Development at Bill05:15.06 Creating Isolated Development Environments09:14.99 Developer Portal and Command Line Interface17:47.84 Velocity Global: Serverless by Default20:39.07 Advantages and Challenges of Serverless23:24.79 Development Life Cycle25:08.96 Deployment Challenges26:26.88 Paved Roads Concept27:22.81 Measuring Paved Road Success34:21.72 Monitoring in Production35:33.38 Choosing Development Tools
Transcribe →Mastering Autonomous Optimization for Amazon ECS
Dec 11, 202300:26:49Tap to summarize00:07.81 Introduction to Autonomous Optimization01:02.54 Different Compute Models in Amazon02:25.49 Challenges in Managing Compute Models03:13.63 Provisioning and Management of ECS Clusters04:56.48 Challenges in ECS Usage05:53.83 Over Provisioning Challenges07:24.50 Complexity of Application Optimization08:46.99 Autonomous Optimization Benefits09:23.49 Considerations for Autonomous Systems09:58.94 Goals of Service Optimization10:53.98 Service, Instance, and Purchasing Optimization11:31.75 Spot Instances and Cost Savings12:10.07 Rightsizing ECS Services13:15.74 Optimizing ECS Services with Auto Scaling14:11.49 Auto Scaling Benefits15:07.04 Dev and Pre-Prod Test Optimization15:59.92 Rightsizing and Spot Instances Example16:34.99 Continuous Service Optimization19:42.01 Autonomous ECS and Toil Reduction21:39.12 Progressing Through Autonomous Optimization23:32.74 Realized Savings and Highlights26:23.58 Optimizing Database Storage
Transcribe →Well Architected for Serverless
Dec 11, 202300:41:42Tap to summarize00:26.69 Understanding Well Architected03:04.51 Building a Well Architected Application04:22.61 Benefits of Well Architected08:31.15 Introduction to AWS Well Architected Framework11:28.47 Overview of the Pillars and Lenses19:17.39 Operational Excellence Pillar40:25.27 Understanding AWS Sustainability
Transcribe →Keynote: Sri Shivananda, PayPal
Nov 23, 202300:26:46Tap to summarize00:44.95 The Edge of Chaos and Innovation02:54.50 Reliability as a Priority04:52.19 Automation for Infrastructure Challenges07:27.44 Vision of Autonomous Infrastructure21:29.06 Advantages of Autonomy24:01.23 Advice for Mid-Size Organizations25:43.16 The Importance of Autonomy in Transformation26:23.92 The Next Step: Autonomy
Transcribe →Leadership Kickoff for autocon/23 - Suresh Mathew
Nov 22, 202300:05:10Tap to summarize0:11.08 Understanding the Numbers1:14.04 The Importance of Autonomy1:36.06 Preventing Incidents2:29.26 The Role of Technology3:06.71 The Journey with Cloud Services4:42.37 Enabling Change Control with Sedai
Transcribe →Is there a business case for AI & Autonomous Systems?
Nov 22, 202300:28:22Tap to summarize00:19.52 Panel Introduction00:58.10 Realism of Autonomy01:52.08 The Cost of Autonomy05:27.71 Adopting Autonomy at Efficient Organizations07:10.63 Board-level Discussions on Autonomy07:50.84 AI Autonomy in Conversational Analytics09:51.02 Building Co-Pilots for Risk Management11:21.57 Balancing False Positives and Negatives13:43.43 Cost Pressure and ROI of AI Infrastructure20:12.28 Productivity and Stress in DevOps Teams21:58.47 Autonomy and Relief in Workload24:00.09 Business Strategy and AI Revenue25:03.75 Value Creation with AI
Transcribe →Transforming Operations with AI & Autonomous Systems
Nov 22, 202300:52:41Tap to summarize00:19.83 Panel Introduction and Company Scale05:21.42 Assessing Infrastructure Readiness for Autonomous Technology18:02.81 Adoption of Autonomous Frameworks and the Need for a Framework19:15.03 Defining the Framework20:22.39 Vertical Stack Differences21:29.82 Maturity Levels and Automation23:08.08 Autonomous System Tools27:01.49 Risk Aversion and Autonomy28:16.78 Autonomy at Scale29:23.40 Incremental Autonomy Implementation31:16.42 Pharmaland's Autonomous Journey33:54.72 Guardrails and Risk Management36:54.57 Nonfinancial Gains of Autonomy38:30.00 Positive Impacts of Autonomy on Experimentation39:31.69 Autonomy and Business Enabler52:12.92 Closing Remarks and Q&A
Transcribe →KnowBe4's Autonomous Journey
Nov 22, 202300:22:26Tap to summarizeWhat's covered:00:43: Introduction to KnowBe402:15: KnowBe4's Cloud Strategy03:37: Challenge of 58% YoY Growth in ECS, Lambda Usage04:54: Need to support AI workloads06:10: KnowBe4 uses a central SRE team07:22: Use cases for an autonomous platform08:54: Why go autonomous?10:33: Facing fears of autonomous operations11:39: Mitigating fears with small scale prod use case13:03: Rolling out individual capabilities14:10: Results: 50%+ cost savings, 90K days of latency saved15:03: Achieved ROI from Sedai in 5 months15:23: Example gains in resource usage16:56: What's next: feedback loops with developers17:40: Recommendation to teams on going autonomous - "Just Do It"18:52: Q&A: KnowBe4's scale ($4.6B company value, 34K customers, >3B emails sent)20:28: Q&A: How has SRE role changed with Sedai's AI?21:11:Impact of Automation on Customer Experience22:04.10: Success with Automation Implementation
Transcribe →Palo Alto Networks' Path to Autonomous Operations
Nov 22, 202300:24:55Tap to summarize00:06.09 The Journey of Transformation01:56.46 Overview of Company and Growth02:33.90 The Unequally Distributed Future04:48.83 Platformization and Backend Implications05:37.04 Challenges of Building Autonomy06:29.52 Limitations and Transformational Thinking07:44.28 Criticality of Service and Trust with Customers08:26.63 Real-Time Security Measures and Latency Management09:33.50 Digital Experience Monitoring10:46.19 Application Acceleration and Telemetry Analysis11:35.10 Managing False Positives and AI Integration13:47.04 Support Automation with Copilots15:06.76 Internal vs. External Use Cases16:19.07 Building Autonomous Systems17:48.49 Engaging with Customers and Backend AI Infrastructure21:39.14 AI Learning and Responsible Application23:16.16 Natural Language Interface and Summarization
Transcribe →