RAG vs MCP is the wrong debate — here's the right framing for production AI systems
The question I keep seeing in every AI engineering forum right now: "Should we use RAG or MCP?" It's the wrong question. And the fact that it's being …
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The Spot Instance That Killed Our Payments Service (And Why It Took Us 47 Minutes to Find It)
It started at 1:49 AM. PagerDuty fired — payments-service entering CrashLoopBackOff, 3 replicas simultaneously. On-call engineer paged. I joined the i…
Flip the Axis: A Layer-Based Approach to Multi-Service Migrations
TL;DR When you're migrating many services through the same steps, parallelize by step, not by service. Sweep one type of change across all services, t…
Risk Management for Developers: A 2026 Practitioner Guide"
At 04:09 UTC on July 19, 2024, a single CrowdStrike Falcon sensor update hit production. Within minutes, roughly 8.5 million Windows machines across a…
If You Were a Server: How to Detect Issues and Keep Things Running Smoothly
Here is a question that often pops up in senior web developer and backend interviews: "If you were a server, how would you detect that you're having i…
Prometheus at Scale: Surviving the Cardinality Cliff
The Day Prometheus Fell Over Prometheus memory usage spiked from 8GB to 32GB overnight. OOM-killed. Monitoring was down for 20 minutes while we scramb…
Database Reliability: The SRE Approach to Keeping Data Safe
The Backup That Wasn't We had backups. Daily snapshots to S3. Perfectly configured. Never tested. When we needed to restore after a data corruption in…
How to Build Systems That Don’t Collapse at Global Scale
Modern systems rarely fail because of one small bug. They fail when there’s no plan for when things inevitably go wrong. In 2026, with global teams, m…
How I Troubleshoot Kubernetes in Production
Kubernetes failures are rarely random. Most incidents repeat a small set of patterns - image pull issues, crash loops, pending pods, DNS failures, or …
Part 2: Hands-on tc Framework: Building a Full-Stack Async API with Pages
Introduction: The Practical Graph This post will show a practical, hands-on example that implements a serverless topology using the tc (Topology Compo…
Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud
This is the first part of a multipart series introducing tc Cloud Functors The Monolith in the Desert Problem Sometimes I feel like the Forrest Gump o…
Public status page guide for SaaS teams selling to enterprise
Enterprise buyers treat a public status surface as a signal of operational maturity—not marketing polish. This guide covers what to publish, how to st…
Backpressure in document pipelines is an architecture problem first
When document teams talk about reliability, extraction quality usually gets the spotlight first. That makes sense, but another issue becomes visible v…
Post-Mortem Best Practices That Actually Drive Change
The Post-Mortem Nobody Learns From I've sat through hundreds of post-mortems. Most follow the same pattern: something breaks, someone writes a Google …
Post-Mortem Best Practices That Actually Drive Change
The Post-Mortem Nobody Learns From I've sat through hundreds of post-mortems. Most follow the same pattern: something breaks, someone writes a Google …
Incident communication, status visibility, and SOC 2
When a trust examination asks how the outside world learns about outages and degradation, the answer should read like your runbooks—not like a one-off…
What Changes and What Stays the Same for SRE with AWS Frontier Agents
On March 31, 2026, AWS made DevOps Agent and Security Agent generally available — the first two of the autonomous AI agents announced at re:Invent 202…
Using Graphify to turn Incident Data into a Knowledge Graph
A few days ago Andrej Karpathy said we should build LLM powered knowledge bases. Within 48 hours someone made Graphify, a tool that turns raw data int…
Why uptime and synthetic monitors still matter in the age of APM
Modern observability—think Grafana, Datadog, New Relic, and similar stacks—gives you deep insight: traces, service maps, golden signals, and often rea…
Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams
Hey, I'm Samson — and I built Nova AI Ops because I was tired of being paged at 3 AM. For years, I watched SRE teams (including my own) drown in the s…
I built an AI that remembers every production incident. Here's what changed.
It's 2 am. Production is down. You paste the error into ChatGPT. It tells you to check your connection string and make sure the database is running. N…
What 99.9% Uptime Actually Means: 8.7 Hours of Downtime Per Year
You've seen it everywhere. On hosting pages, SaaS pricing tables, cloud provider dashboards: "99.9% uptime guaranteed" Sounds impressive. Almost perfe…
Designing a Scalable Recovery Service for Distributed Systems
Failures are a normal and expected part of distributed systems. If your application processes data asynchronously—for example, by consuming messages f…
How We Made Next.js ISR Page Cache Efficient with Redis
Next.js ISR works great on a single pod. But the moment you scale to multiple replicas — whether on Kubernetes , ECS , Cloud Foundry , or any orchestr…
Your Kubernetes backups are lying to you
Every Kubernetes backup tool says "Backup Completed." Velero, Kasten, TrilioVault, Portworx — they all do backup brilliantly. Green dashboards, succes…
From Disaster to Recovery: A Practical Case Study on Kubernetes etcd Backups
In Kubernetes (K8s) clusters, etcd functions as the "brain." It stores all state data for the entire cluster ranging from Pod configurations and servi…