ArgoCD is easy to install and hard to run well in production. Here are the architectural decisions, operational patterns, and lessons from enterprise GitOps deployments that make the difference between a reliable platform and a deployment liability.
Incident response at scale requires more than runbooks and alerting. Here is the organisational structure, severity framework, and post-mortem culture that separates teams that learn from incidents from teams that repeat them.
Multi-AZ is the right default for many workloads — but applying it indiscriminately adds significant cost for availability guarantees many workloads do not need. Here is the decision framework for making the call correctly.
The technology stack of an effective engineering leader in 2026 spans AI tools, cloud-native platforms, delivery automation, and data intelligence. Here is what each layer demands — and what leaders need to understand to lead it effectively.
Most enterprises are either over-provisioning compute and burning budget, or under-provisioning and stalling model delivery. Just-in-time compute is the architectural pattern that resolves both. Here’s what it means in practice and why it matters for your AI roadmap.