
DevOps in the Age of AI
Kubernetes taught us that new platforms need new thinking. Here's how you can apply the same learnings to using AI in production ops
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Engineering deep-dives, product updates, and stories from the teams building the future of autonomous incident response.

Kubernetes taught us that new platforms need new thinking. Here's how you can apply the same learnings to using AI in production ops

Mean time to resolution measures how gracefully you fail, not whether your business is protected. Here's why CTOs should report a prevention posture instead.

One-shot AI agents finish their task and stop. Production operations is a workflow. Here is how NeuBird AI's Production Ops Agent completes the whole job.

The enterprises that win the next decade will not automate toil. They will operate production autonomously and measure it by revenue, roadmap, and trust.

Claude Fable 5 is the most capable model Anthropic has released. Before you point it at production, look at the invoice — and the hidden costs that don't show up in the per-token price.

Why the bill keeps climbing, why your team is drowning in alerts, and why the smartest engineering orgs are ripping it out and replacing it with an agent that runs production for them.

A synopsis of NeuBird AI's 'Ultimate Guide to AWS Cost Optimization' examining the operational patterns driving unnecessary AWS spend across compute, storage, networking, EKS, logging, and data growth.

Why building custom AI SRE agents internally often becomes more expensive and complex than anticipated, and how cost, speed, and accuracy are constantly in tension.

A recent PulseMeter study found that AI adoption in observability is growing, but most organizations still lack the operational context required for AI to drive meaningful action.