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.
Distributed Systems
Cloud Architecture
Ray Distributed Computing for AI: How to Scale ML Workloads Past a Single Machine Without Losing Your Mind
Ray is the distributed compute engine behind OpenAI, Cohere, and most serious AI labs. Here's how it actually works, how to run it on Kubernetes with KubeRay, when to use it, and when Dask or Spark is the better call.
Cloud Architecture
Rate Limiting at Scale: Token Bucket, Sliding Window, and How to Actually Implement Distributed Rate Limiting
A deep dive into rate limiting algorithms — token bucket, leaky bucket, fixed window, sliding window — and the hard problems of distributed rate limiting with Redis, Envoy, and API gateways.
Databases
The CAP Theorem Explained: Consistency, Availability, and Partition Tolerance
The CAP theorem is widely cited and widely misunderstood. A veteran architect explains what it actually means, why it matters, and how real databases navigate it.
Cloud Architecture
Multi-Region Active-Active Architecture: Designing Systems That Serve Traffic from Everywhere
Active-active multi-region architecture serves real traffic from every region simultaneously. Here is how to design it, what to do about data consistency, and when it is not worth the complexity.
Cloud Architecture
Temporal Workflow Engine: Durable Execution for Complex Distributed Systems
Temporal solves the hardest problem in distributed systems: running long-lived, multi-step processes reliably without writing saga boilerplate or managing state machines manually.
Databases
Distributed Caching Explained: Redis, Memcached, Valkey, and How to Choose
A principal architect's guide to distributed caching: how Redis, Memcached, and Valkey work, when to use each, and lessons from running caches at scale in production.
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.
Cloud Architecture
CQRS and Event Sourcing Explained: When to Use These Patterns and When They're Overkill
CQRS separates reads from writes. Event sourcing stores state as a sequence of events. Together they're powerful. Learn when they actually solve your problem and when they add unnecessary complexity.