We don't just talk about cloud infrastructure. We build it, break it, and optimize it. Read our raw technical postmortems, architecture reviews, and deployment patterns.
A comprehensive guide to identifying and eliminating hidden cloud infrastructure costs in Amazon EKS, from over-provisioned nodes to leaky cross-AZ traffic.
A production engineering decision guide for choosing between EKS Auto Mode and Karpenter for Kubernetes autoscaling and cost optimization on AWS.
When startups complain about their AWS bill, they almost always blame compute. But when we audit their infrastructure, the real financial leaks are hidden elsewhere.
Getting your application running on AWS is only phase one. Here is the exact 4-week engineering blueprint to establish visibility, fix the architecture, and optimize costs before your first major bill.
An engineering review of 10 common AWS architectures, the systemic risks they introduce, and how we remediate them for scale.
An engineering report and checklist detailing the exact cluster architecture, networking, security, and observability requirements for a production-grade Amazon EKS cluster.
An engineering postmortem on migrating a massive multi-cloud infrastructure from Terraform state files to Crossplane's continuous reconciliation loop.
How we slashed real-time infrastructure costs by 85% and eliminated connection dropouts by migrating from API Gateway WebSockets to a custom NGINX deployment on ECS.
How we fortified a heavily targeted API by implementing intelligent, multi-layered edge rate limiting, stopping Layer 7 attacks before they hit the Kubernetes ingress.
How we upgraded a 2TB production PostgreSQL database from version 11 to 15 with less than 5 seconds of downtime using AWS RDS logical replication.
How we consolidated 20 complex microservices back into a high-performance modular monolith, cutting cloud costs by 50% and increasing developer velocity.
How migrating from Cluster Autoscaler to Karpenter saved a growing SaaS company 40% on their AWS EKS compute bill and improved scale-out latency.
A deep dive into GPU node sharing, Karpenter scaling, and MIG (Multi-Instance GPUs) to dramatically reduce Kubernetes AI inference costs.
How we eliminated configuration drift, automated deployments, and scaled ArgoCD across multi-region EKS clusters for a Series-B SaaS.
How we replaced expensive CloudWatch ingestion with an open-source observability stack on EKS, saving our client thousands of dollars monthly.
The exact connection pooling architecture we used to prevent database timeouts during massive e-commerce flash sales on Vercel.
A pragmatic guide to reducing Kubernetes infrastructure costs using Karpenter, Spot Instances, right-sizing, and idle resource cleanup.
How we transitioned a monolithic deployment pipeline into a decentralized GitOps architecture using ArgoCD and Kubernetes.
How we reduced a client's AWS networking bill by 60% by re-architecting their VPC endpoints and NAT Gateway dependencies.
How we identified and resolved a severe CoreDNS bottleneck in a high-traffic Kubernetes cluster causing intermittent 502s.
A complete guide to leveraging Docker Buildx and GitHub Actions cache to reduce build times from 15 minutes to 3 minutes.
Our exact folder structure and state management strategy for deploying complex AWS infrastructure across Dev, Staging, and Prod.
