Kubernetes Autoscaling: HPA vs KEDA — A Platform Engineer's Guide
Kubernetes autoscaling with HPA covers CPU-bound services well. KEDA extends it with 72+ scalers and scale-to-zero. Here's when to use each in production.
Insights on cloud architecture, distributed systems, AI, and modern software engineering practices.
Kubernetes autoscaling with HPA covers CPU-bound services well. KEDA extends it with 72+ scalers and scale-to-zero. Here's when to use each in production.
Exploring best practices for scalable cloud architecture across AWS, Azure, and GCP with insights into Well-Architected Frameworks and multi-cloud strategies.
Understanding the fundamental patterns and challenges of distributed systems, from microservices to event-driven architecture.

Five proven ways to try Elasticsearch today: Elastic Cloud (hosted or serverless), Docker Compose, Kubernetes with ECK, direct packages, and the official startlocal script for quick local development.
Exploring how vector databases and semantic search are revolutionizing AI-powered search with RAG and beyond.

Reflecting on the dramatic evolution of cloud computing over the past decade, from 30% to 60% cloud adoption and beyond.