Kubernetes in production: a reference architecture with DNS-to-pod traffic flow, safe upgrades, pod and node autoscaling, and Postgres in containers.
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From the Control Plane blog
Cloud-native engineering, multi-cloud strategy, and platform deep-dives.
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How to roll back a bad (even AI-generated) change, deploy safely, build self-healing infrastructure, and shrink the blast radius of outages.
How to deploy a hybrid cloud: decide public vs private per workload, follow a phased plan, mitigate hybrid-specific security risks, and govern both sides.
What uptime SLA to offer enterprise customers, exact downtime per nine, how to engineer 99.99%, database failover, failover testing, and vendor questions.
Build vs rent GPUs: a break-even utilization model, a full TCO checklist, neocloud vs AWS costs, procurement and compliance factors, and a hybrid plan.
Day 2 operations for AI infrastructure: automate patching and upgrades, add three layers of observability, run incident response, and keep serving up 24/7.
Run regulated apps in the cloud: verify SOC 2, HIPAA, and PCI DSS platforms, keep data in one country with failover, and use a compliance checklist.
How to consolidate multiple cloud providers and accounts into one governed platform: a step-by-step program, ROI model, merger playbook, and checklist.
When is cloud lock-in worth it? A decision framework for managed services vs portability, open-source alternatives, exit clauses, and an exit plan.
How to run AI inference across multiple GPU clouds in 2026: fail over between GPU providers, burst from your own GPUs, and move as prices change.
A malicious Claude Code extension on the Cursor Marketplace shows why AI coding agents belong in isolated remote sandboxes, not on developer laptops.
What multi-region high availability really costs in 2026: active-active vs active-passive, pilot light, and warm standby, with a worked AWS cost model.