00:22.59 The Power of the Right Tools

03:14.62 Optimizing Kubernetes Development at Bill

05:15.06 Creating Isolated Development Environments

09:14.99 Developer Portal and Command Line Interface

17:47.84 Velocity Global: Serverless by Default

20:39.07 Advantages and Challenges of Serverless

23:24.79 Development Life Cycle

25:08.96 Deployment Challenges

26:26.88 Paved Roads Concept

27:22.81 Measuring Paved Road Success

34:21.72 Monitoring in Production

35:33.38 Choosing Development Tools

00:07.81 Introduction to Autonomous Optimization

01:02.54 Different Compute Models in Amazon

02:25.49 Challenges in Managing Compute Models

03:13.63 Provisioning and Management of ECS Clusters

04:56.48 Challenges in ECS Usage

05:53.83 Over Provisioning Challenges

07:24.50 Complexity of Application Optimization

08:46.99 Autonomous Optimization Benefits

09:23.49 Considerations for Autonomous Systems

09:58.94 Goals of Service Optimization

10:53.98 Service, Instance, and Purchasing Optimization

11:31.75 Spot Instances and Cost Savings

12:10.07 Rightsizing ECS Services

13:15.74 Optimizing ECS Services with Auto Scaling

14:11.49 Auto Scaling Benefits

15:07.04 Dev and Pre-Prod Test Optimization

15:59.92 Rightsizing and Spot Instances Example

16:34.99 Continuous Service Optimization

19:42.01 Autonomous ECS and Toil Reduction

21:39.12 Progressing Through Autonomous Optimization

23:32.74 Realized Savings and Highlights

26:23.58 Optimizing Database Storage

00:26.69 Understanding Well Architected

03:04.51 Building a Well Architected Application

04:22.61 Benefits of Well Architected

08:31.15 Introduction to AWS Well Architected Framework

11:28.47 Overview of the Pillars and Lenses

19:17.39 Operational Excellence Pillar

40:25.27 Understanding AWS Sustainability

00:44.95 The Edge of Chaos and Innovation

02:54.50 Reliability as a Priority

04:52.19 Automation for Infrastructure Challenges

07:27.44 Vision of Autonomous Infrastructure

21:29.06 Advantages of Autonomy

24:01.23 Advice for Mid-Size Organizations

25:43.16 The Importance of Autonomy in Transformation

26:23.92 The Next Step: Autonomy

0:11.08 Understanding the Numbers

1:14.04 The Importance of Autonomy

1:36.06 Preventing Incidents

2:29.26 The Role of Technology

3:06.71 The Journey with Cloud Services

4:42.37 Enabling Change Control with Sedai

00:19.52 Panel Introduction

00:58.10 Realism of Autonomy

01:52.08 The Cost of Autonomy

05:27.71 Adopting Autonomy at Efficient Organizations

07:10.63 Board-level Discussions on Autonomy

07:50.84 AI Autonomy in Conversational Analytics

09:51.02 Building Co-Pilots for Risk Management

11:21.57 Balancing False Positives and Negatives

13:43.43 Cost Pressure and ROI of AI Infrastructure

20:12.28 Productivity and Stress in DevOps Teams

21:58.47 Autonomy and Relief in Workload

24:00.09 Business Strategy and AI Revenue

25:03.75 Value Creation with AI

00:19.83 Panel Introduction and Company Scale

05:21.42 Assessing Infrastructure Readiness for Autonomous Technology

18:02.81 Adoption of Autonomous Frameworks and the Need for a Framework

19:15.03 Defining the Framework

20:22.39 Vertical Stack Differences

21:29.82 Maturity Levels and Automation

23:08.08 Autonomous System Tools

27:01.49 Risk Aversion and Autonomy

28:16.78 Autonomy at Scale

29:23.40 Incremental Autonomy Implementation

31:16.42 Pharmaland's Autonomous Journey

33:54.72 Guardrails and Risk Management

36:54.57 Nonfinancial Gains of Autonomy

38:30.00 Positive Impacts of Autonomy on Experimentation

39:31.69 Autonomy and Business Enabler

52:12.92 Closing Remarks and Q&A

What's covered:

00:43: Introduction to KnowBe4

02:15: KnowBe4's Cloud Strategy

03:37: Challenge of 58% YoY Growth in ECS, Lambda Usage

04:54: Need to support AI workloads

06:10: KnowBe4 uses a central SRE team

07:22: Use cases for an autonomous platform

08:54: Why go autonomous?

10:33: Facing fears of autonomous operations

11:39: Mitigating fears with small scale prod use case

13:03: Rolling out individual capabilities

14:10: Results: 50%+ cost savings, 90K days of latency saved

15:03: Achieved ROI from Sedai in 5 months

15:23: Example gains in resource usage

16:56: What's next: feedback loops with developers

17:40: 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 Experience

22:04.10: Success with Automation Implementation

00:06.09 The Journey of Transformation

01:56.46 Overview of Company and Growth

02:33.90 The Unequally Distributed Future

04:48.83 Platformization and Backend Implications

05:37.04 Challenges of Building Autonomy

06:29.52 Limitations and Transformational Thinking

07:44.28 Criticality of Service and Trust with Customers

08:26.63 Real-Time Security Measures and Latency Management

09:33.50 Digital Experience Monitoring

10:46.19 Application Acceleration and Telemetry Analysis

11:35.10 Managing False Positives and AI Integration

13:47.04 Support Automation with Copilots

15:06.76 Internal vs. External Use Cases

16:19.07 Building Autonomous Systems

17:48.49 Engaging with Customers and Backend AI Infrastructure

21:39.14 AI Learning and Responsible Application

23:16.16 Natural Language Interface and Summarization