Pods & Pixels

Pods & Pixels

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Running Stateful ML Workloads in EKS with Persistent Volumes on Amazon FSx for Lustre

Advanced Traffic Shaping and Failure Recovery

Observability with Prometheus, Grafana, and Flagger Metrics

CI/CD Pipeline Integration (GitHub Actions + Helm)

Deploying a Sample Application with Canary Routing

Automated Canary Deployments on Amazon EKS using Flagger and AWS App Mesh

Hybrid Mesh and Disaster Recovery Strategies

Enabling Cross-Cluster Routing and Observability

Deploying Mesh-Aware Services in Multiple Clusters

Bootstrapping EKS Clusters and App Mesh Configuration

Error Handling, Retry Strategies, and Parallel Execution

Handling Asynchronous Tasks and External Integrations

Adding Conditional Logic and Branching

Creating a Basic Step Function with AWS Lambda Tasks

Implementing Complex State Machines with AWS Step Functions and the AWS CDK

Real-World Patterns, Pitfalls, and Production Readiness

Reconciliation, Audit Trails, and Rebuilds with Change Data Capture (CDC)

Building a Replay & Backfill System for Kinesis and DynamoDB

Implementing Durable Consumers and Replayable Pipelines

Advanced Patterns for Event Streaming and Replay Using AWS Kinesis and DynamoDB Stream

Putting It All Together with CI/CD and Infrastructure as Code

Enabling Replay and Archival for Resilience

Creating the Global Endpoint and Defining Failover Behavior

Setting Up Regional Event Buses and Lambda Consumers

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