DevOps
Should You Run Databases on Kubernetes? A Honest Assessment
An honest assessment of running databases on Kubernetes from someone who's tried it. When it works, when it doesn't, and what you need to get right.
DevOps
DevOps
Kubernetes, Docker, and Containers: What You Actually Need to Know
A senior architect's honest take on Kubernetes, Docker, and containers. What they are, when you need them, and when you absolutely don't.
DevOps
Scaling Web Applications: From Single Server to Millions of Users
A practical guide to scaling web applications from an architect who's done it at every stage. From single server to distributed systems serving millions.
DevOps
TCO in Cloud Computing: How to Calculate Total Cost of Ownership
How to calculate total cost of ownership for cloud computing from an architect who's done it wrong and learned the hard way. Real costs, hidden costs, and how to compare.
DevOps
Disaster Recovery Planning: Strategies, Tiers, and Real-World Playbooks
A practical disaster recovery planning guide from an architect who's survived real disasters. Strategies, tier models, testing frameworks, and playbooks.
DevOps
RTO vs RPO: Recovery Time and Recovery Point Objectives Explained
RTO and RPO explained by an architect who's set and tested them for decades. How to define recovery objectives that actually match your business needs.
DevOps
Troubleshooting Latency: A Systematic Approach to Finding the Bottleneck
A systematic method for tracking down latency issues in production systems, from network to application to database, built from decades of war stories.
DevOps
Performance Tuning Databases and Applications: A Practitioner's Guide
Hard-won performance tuning lessons from 30 years of fixing slow systems. Database optimization, application profiling, and the metrics that matter.
DevOps
Monitoring and Logging: What to Track, How to Alert, and Tools That Work
Practical monitoring and logging advice from three decades of production operations. What metrics matter, how to build alerts that work, and tools I trust.
DevOps
Blue-Green Deployments: Zero-Downtime Releases Done Right
A battle-tested guide to blue-green deployments from an architect who's used them to eliminate downtime across hundreds of releases in production.
DevOps
CI/CD Explained: Continuous Integration and Delivery from the Ground Up
Learn CI/CD from someone who built pipelines before the tools existed. Continuous integration and delivery principles, patterns, and hard-won lessons.
DevOps
Kubernetes Autoscaling Deep Dive: HPA, VPA, KEDA, and Cluster Autoscaler Explained
A practical guide to Kubernetes autoscaling: how HPA, VPA, KEDA, and Cluster Autoscaler work, when to use each, and how to avoid the pitfalls that catch most teams.
DevOps
Infrastructure as Code: Terraform, Pulumi, CloudFormation, and How to Choose
A practical guide to Infrastructure as Code tools. Compare Terraform, Pulumi, CloudFormation, and OpenTofu with real-world examples, trade-offs, and migration stories.
DevOps
Kubernetes Operators Explained: Automating Complex Applications with Custom Controllers
Kubernetes Operators encode operational knowledge into software. Here's how they work, when to write one, and when to use an existing operator instead of building your own.
DevOps
SLOs, SLIs, and Error Budgets: The Reliability Framework That Actually Works
SLAs are for lawyers. SLOs are for engineers. Here's how to define meaningful service level objectives, measure them properly, and use error budgets to make smarter deployment decisions.
DevOps
Chaos Engineering: Breaking Your Systems on Purpose to Make Them Stronger
A hands-on guide to chaos engineering: why you should break things in production, tools like Chaos Monkey and Litmus, game day planning, and how to build a culture of resilience testing.
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.
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.
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.
DevOps
Sorting Algorithms Explained: Implementations, Complexity, and When They Matter
Sorting algorithms explained with real implementations, from bubble sort through Timsort. Big O complexity analysis and when algorithm choice actually matters in production.
DevOps
What Makes an API Developer-Friendly? Design Principles That Actually Matter
What makes an API developer-friendly: naming conventions, error handling, pagination, versioning, docs, and the design principles that separate great APIs from painful ones.
DevOps
HTTP Methods Explained: GET, POST, PUT, PATCH, DELETE and When to Use Each
HTTP methods explained with real-world examples. GET, POST, PUT, PATCH, DELETE, plus HEAD and OPTIONS. When to use each, idempotency, and common mistakes.
DevOps
Networking Protocols Overview: TCP, UDP, ICMP, HTTP, FTP, SNMP and More
A networking protocols overview for practitioners. TCP, UDP, HTTP, ICMP, FTP, SNMP, and more explained by an architect who's debugged them all in production.
DevOps
GraphQL vs REST: Architecture Differences and How to Choose
GraphQL vs REST compared honestly: architecture differences, real performance trade-offs, and a practical decision framework for choosing between them.
DevOps
Types of Load Balancers: L4, L7, Global, and How to Choose
A deep dive into load balancer types from an architect who's configured hundreds. L4, L7, global, and how to pick the right one for your architecture.
DevOps
Scripting vs Compiled Languages: Differences, Trade-offs, and When to Use Each
The real differences between scripting and compiled languages: how they work under the hood, performance trade-offs, and when to reach for Python vs Go vs Rust.