AWS provides a comprehensive suite of storage and database services for every workload. This guide covers S3 object storage, EBS block storage, RDS relational databases, DynamoDB NoSQL, and Aurora—with production-ready code examples. 📚 AWS FUNDAMENTALS SERIES This is Part 3 of a 6-part series covering AWS Cloud Platform. Part 1: Fundamentals – Account Structure, IAM […]
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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. […]
Read more →What Is GPT-3.5 or GPT-4 or GPT-4 Turbo? Everything You Should Know
A comprehensive guide to OpenAI’s GPT model family. Understand the differences between GPT-3.5, GPT-4, and GPT-4 Turbo, including pricing, features, context windows, and practical implementation advice for developers.
Read more →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 […]
Read more →Cloud Native and Multi-Cloud Architecture: A Complete Guide to Modern Infrastructure
The evolution of cloud computing has fundamentally transformed how we architect, deploy, and operate applications. Cloud-native architecture and multi-cloud strategies are no longer optional—they’re essential for organizations seeking agility, resilience, and competitive advantage in the digital economy. This comprehensive guide covers cloud-native principles, multi-cloud strategies, Kubernetes orchestration, and practical implementation patterns with real-world examples. Cloud […]
Read more →AWS Step Functions Distributed Map: Massive Parallel Processing
AWS Step Functions Distributed Map, announced at re:Invent 2022, enables processing up to 10,000 concurrent items in a Map state—compared to the previous 40-item limit. This makes Step Functions viable for large-scale ETL, data processing, and batch workflows that previously required custom orchestration or EMR. This guide covers architecture patterns, S3 integration, and cost optimization […]
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