JJayesh Sojitra·Oct 47 Ways to Cut Your AWS Bill Without Cutting PerformanceMost AWS cost advice says "scale down" — which means less performance. These 7 are about paying less for the exact same performance you already have.4 min read·jayesh-sojitra.hashnode.dev
JJayesh Sojitra·Oct 4Auto Scaling Groups Explained With a Real ExampleAuto Scaling isn't "add more servers when busy." It's a specific set of decisions — what triggers it, what the limits are, and how fast it reacts — that most teams configure once and never revisit.4 min read·jayesh-sojitra.hashnode.dev
JJayesh Sojitra·Oct 3 ALB vs NLB: Which Load Balancer Do You Actually Need"Just use an ALB" works for most web apps, but the choice between ALB and NLB isn't about which is "better" — it's about which layer of the network you actually need control at.4 min read·jayesh-sojitra.hashnode.dev1E
JJayesh Sojitra·Sep 27 S3 Storage Classes: Which One Actually Saves You MoneyMost teams leave every file in S3 Standard forever. That's usually the most expensive way to store data you rarely touch.4 min read·jayesh-sojitra.hashnode.dev3I
ZZyVOP·Aug 31How Netflix's Architecture Works in 2026: A Developer's GuideFrom the 2008 database failure to today's EKS, Envoy, Open Connect, GraphQL, AV1 and AI infrastructure — and the engineering principles that survived every rewrite.15 min read·blog.zyvop.com
JJubs·Jun 28Part 4: Agentic AI in Production: Blue-Green Deployments, Circuit Breakers, and Cost GuardrailsGetting your agent to production is one thing. Keeping it there without a surprise $4,000 Azure bill or a 3 AM incident is another. Here's the operational playbook.20 min read·dreaded-developer.hashnode.dev
JJubs·Jun 26Part 1: Agentic AI Workflows: Azure Durable Functions vs. Azure AI Foundry — Choose Your FighterTwo battle-tested approaches to orchestrating AI agents in Azure. One gives you surgical control. The other gives you superpowers out of the box. Here's when to use which.13 min read·dreaded-developer.hashnode.dev
JJubs·Jun 27Part 2: Building a Multi-Agent Research Pipeline with Durable Functions and Semantic KernelFan-out, fan-in, self-critique loops, and quality gates — a production-ready agentic workflow in C# and Azure16 min read·dreaded-developer.hashnode.dev
Hhimanshu·Jun 13Lambda vs. EKS for AI Orchestration at Scale Building AI at scale? Compare AWS Lambda and Amazon EKS across scalability, latency, operational complexity, and cost with real-world insights.8 min read·himanshutech.hashnode.dev
BBGyani·Mar 22NetScaler vs Google Cloud Load Balancer Quick architecture comparison3 min read·blog.bgyani.co.in
