Cloud Architecture
Multi-Cloud Strategy: Benefits, Pitfalls, and When It Actually Makes Sense
A honest look at multi-cloud strategy: when it creates real value, when it's just expensive complexity, and how to do it right if you commit.
Blog
Deep-dive technical articles on cloud architecture, networking, security, databases, and infrastructure. Written by practitioners who build and scale production systems.
Cloud Architecture
GPU Cloud Infrastructure: Choosing the Right Hardware for AI Workloads
A practitioner's guide to GPU cloud infrastructure: NVIDIA Blackwell vs Hopper, cloud provider GPU instances, cost optimization, and how to right-size your AI compute.
DevOps
Platform Engineering: Why DevOps Teams Are Building Internal Developer Platforms
How platform engineering solves DevOps tool sprawl by giving developers self-service infrastructure. What an internal developer platform looks like and how to build one.
Cloud Architecture
Edge Computing vs Cloud Computing: When to Process Data Closer to the Source
A practical comparison of edge and cloud computing: architectures, use cases, trade-offs, and how to decide where your workloads should run.
DevOps
GitOps Explained: ArgoCD, Flux, and Modern Kubernetes Deployment
A practitioner's guide to GitOps: how to use Git as the single source of truth for infrastructure and application deployment with ArgoCD and Flux.
Cloud Architecture
Agentic AI in Production: Scaling Challenges and Practical Solutions
The real challenges of running agentic AI systems in production: non-determinism, token cost spirals, observability gaps, and how to solve them.
Cloud Architecture
LLM Inference Infrastructure: A Practical Guide to Serving AI Models at Scale
How to build production-ready LLM inference infrastructure: GPU selection, model serving frameworks, batching strategies, and cost optimization for AI workloads.
Cloud Architecture
What is FinOps? Cloud Cost Optimization Explained for Engineers
A practitioner's guide to FinOps: how engineering teams can take control of cloud costs without sacrificing velocity or innovation.
DevOps
OpenTelemetry and Distributed Tracing: Making Sense of Microservice Chaos
How OpenTelemetry works, why distributed tracing is different from logging and metrics, and how to instrument your services without drowning in overhead and noise.
Databases
SQL vs NoSQL Databases: Architecture, Trade-offs, and Choosing the Right One
SQL and NoSQL databases are not interchangeable. A principal architect with 30 years of database experience explains the real differences and when to use each.
Cloud Migration
Mainframe to Cloud Migration: Strategies, Challenges, and Hard Lessons
Mainframe to cloud migration strategies that actually work: emulation, rewriting, and hybrid approaches, plus hard lessons from migrating COBOL and z/OS workloads.
Databases
Vector Databases Explained: pgvector, Pinecone, Weaviate and How to Choose
A practical guide to vector databases for AI applications: when to use pgvector vs dedicated vector DBs, how ANN indexing works, and what I've learned shipping RAG systems in production.