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Insights on cloud architecture, distributed systems, AI, and modern software engineering practices.

Abstract infrastructure visualization representing Kubernetes cluster autoscaling

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.

March 18, 202615 min read
KubernetesPlatform EngineeringAutoscaling+1
Cloud architecture diagram showing multi-cloud infrastructure

Architecturing to Scale: Cloud Architecture in 2026

Exploring best practices for scalable cloud architecture across AWS, Azure, and GCP with insights into Well-Architected Frameworks and multi-cloud strategies.

January 11, 20263 min read
CloudAWSAzure+2
Distributed computing network diagram

Distributed Computing: Architecture Patterns That Matter

Understanding the fundamental patterns and challenges of distributed systems, from microservices to event-driven architecture.

January 10, 20263 min read
Distributed SystemsArchitectureMicroservices
Elastic illustration: versatile data use case flexibility

Getting Started with Elasticsearch

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.

January 9, 20264 min read
ElasticsearchSearchDatabase
AI-powered semantic search visualization

Search and AI: The Evolution of RAG and Vector Databases

Exploring how vector databases and semantic search are revolutionizing AI-powered search with RAG and beyond.

January 8, 20263 min read
AISearchRAG+1
Cloud computing evolution timeline

Cloud Computing Over 10 Years: A 2015-2025 Review

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

January 7, 20263 min read
CloudHistoryTrends