On-Call
Browse all articles, tutorials, and guides about On-Call
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Who's On Call for the AI Agent? A Production Runbook
An agent that can call production tools is a service with an incident path, not a clever prompt. Assign an owner, page only for harm in progress, test a kill switch, scope its identity, and keep enough evidence to explain every action.
Can a Vision Model Read Your Grafana Panel? 100 Panels on DigitalOcean Inference
We drew 100 Grafana-style panels with known answers and asked NVIDIA Nemotron 3.5 Super VL and three other models on DigitalOcean Serverless Inference to read four facts from each. The best model read 65 of 100 fully right, and log axes broke all of them. Here is what a screenshot costs, where the reads go wrong, and a small bot that checks the model against the alert before it posts.
Page, Ticket or Ignore: Is the Cheap Model Good Enough for Alert Triage?
We gave six models on DigitalOcean Serverless Inference one written on-call policy and 200 alerts, three times each. A model at $0.16 per 1,000 alerts made every call the same way as one at $1.64. The real differences were latency, missed pages and a bug in our own test data that the models caught.
DevOps Interviews Now Test How You Decide. How to Practice Situational Questions
Fewer interviewers ask what a Kubernetes Service is. More of them describe a broken system and ask what you do first. Here is what they grade, five worked scenarios with weak and strong answers, and a way to practice making the call.
How to Build an Effective On-Call Rotation and Escalation Policy
Your phone buzzed at 3:14 AM for a disk warning that auto-resolved by 3:16. Nobody fixes the alert. The next person on rotation hates their life. Here is how to build on-call schedules, escalation policies, and alert rules that respect your engineers.