After two decades of deploying and managing containerized workloads across enterprises, I’ve watched Kubernetes evolve from a complex orchestration tool into the de facto standard for container management. Azure Kubernetes Service (AKS) represents Microsoft’s fully managed Kubernetes offering, and having architected dozens of AKS deployments, I can share the patterns and practices that separate successful… Continue reading
Tag: DevOps
Azure DevOps Pipelines: A Solutions Architect’s Guide to Enterprise CI/CD
After two decades of building and operating CI/CD systems across enterprises of every scale, I’ve watched Azure DevOps evolve from Team Foundation Server into one of the most comprehensive DevOps platforms available. The platform’s strength lies not just in its individual components, but in how seamlessly they integrate to create end-to-end delivery pipelines that scale… Continue reading
Tips and Tricks – Implement Circuit Breaker for Resilient Services
Prevent cascade failures by implementing circuit breaker pattern for external service calls.
Platform Engineering: Building Internal Developer Platforms That Actually Work
After spending two decades building and scaling engineering organizations, I’ve come to a conclusion that might seem counterintuitive: the biggest productivity killer in most enterprises isn’t technical debt, legacy systems, or even organizational politics. It’s cognitive load. Developers spend an unconscionable amount of time navigating infrastructure complexity instead of solving business problems. Platform engineering, done… Continue reading
Tips and Tricks – Automate Security Scanning in CI Pipeline
Catch vulnerabilities early by integrating security scanning into your CI workflow.
Tips and Tricks – Implement Trunk-Based Development with Feature Flags
Ship code continuously while controlling feature rollout with runtime flags.
Tips and Tricks – Cache Dependencies in GitHub Actions
Speed up CI builds by caching package manager dependencies between runs.
Cloud-Native Machine Learning: Building Scalable Models for Production
The journey from experimental machine learning models to production-grade systems represents one of the most challenging transitions in modern software engineering. After spending two decades building distributed systems and watching countless ML projects struggle to move beyond proof-of-concept, I’ve developed a deep appreciation for cloud-native approaches that treat machine learning infrastructure with the same rigor… Continue reading
Scaling Up Your Pods: How Horizontal Pod Autoscaling Wins
After two decades of managing containerized workloads across production environments, I’ve come to appreciate that the difference between a good Kubernetes deployment and a great one often comes down to how intelligently it responds to changing demand. Horizontal Pod Autoscaling (HPA) represents one of those fundamental capabilities that separates reactive operations from proactive infrastructure management.… Continue reading
Deep Dives into EKS Monitoring and Observability with CDKv2
Running production workloads on Amazon EKS demands more than basic health checks. After managing dozens of Kubernetes clusters across various industries, I’ve learned that the difference between a resilient system and a fragile one often comes down to how deeply you can see into your infrastructure. This guide shares the observability patterns and CDK-based automation… Continue reading
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