Category: DevOps

A zero-infrastructure  AWS DevOps Agent skill profiles your Amazon CloudWatch Logs estate and gives you one view of it. CloudWatch Logs already captures the signals you need to operate it well, including how each log group is classed, how long it is kept, who reads it, where its data flows, and how fast it grows. […]

AWS DevOps Agent investigates incidents, traces problems from code to cloud, and analyzes Amazon CloudWatch, AWS CloudTrail, and third-party observability tools out of the box. But every operations team carries knowledge the agent cannot reach through generic reasoning: the order you check things in when, for example, an Amazon Elastic Container Service (ECS) task won’t […]

Nubank serves more than 140 million customers across Brazil, Mexico, and Colombia and announced in 2026 its operation in the USA, over 60% of Brazil’s adult population. Its systems run thousands of microservices on Amazon Elastic Kubernetes Service (Amazon EKS) and process millions of transactions each day across accounts, cards, credit, investments, and insurance. Nubank […]

1. Introduction A pod on your Amazon Elastic Kubernetes Service (Amazon EKS) cluster is restarting on a memory limit. An automated agent spots it, doubles the memory, and syncs the application. On a quiet afternoon that is a tidy self healing story. During a release window, or on a service that is mid rollout, the […]

Introduction Before an AWS DevOps Agent investigation runs its first billable query, you can see what it will cost and decide whether to proceed. The Investigation Cost Guardrail skill brings cost awareness to AWS DevOps Agent, giving your team visibility and control over scope before the investigation begins. This post introduces the Investigation Cost Guardrail, […]

When an incident hits at 2 AM, the on-call engineer’s effectiveness depends on what they know about the system, which metrics to check first, what “normal” looks like for this service, and where to find the deployment history. That knowledge often lives in runbooks, internal wikis, and the heads of senior engineers who built the […]

If you manage production incidents, you know the drill. A ServiceNow ticket fires at 2 AM. The on-call engineer wakes up, logs in to Dynatrace, pulls traces and metrics across multiple dashboards, cross-references change records, forms a hypothesis, updates the ticket, and posts findings to Slack. The investigation takes one to three hours, and that’s […]

An AI-powered observability experience for AI agents and applications, built on open standards and delivered outside of the AWS Console.  Organizations are handing agents the keys to their day-to-day operations, from resolving support tickets and managing infrastructure to approving expenses, shipping production code, and increasingly the long tail of workflows that keep the business running. […]

Modern cloud-native applications generate rich telemetry across metrics, logs, and deployment histories. When performance degrades, operations teams have the data, but the challenge is correlating signals across multiple tools quickly enough to minimize customer impact. Root cause analysis remains a largely manual process dependent on institutional knowledge and operator experience. This post shows how AWS […]

Triaging the impact of AWS Health events is one of the most repetitive jobs in cloud operations, and it is exactly the kind of work AWS DevOps Agent can take on. Scheduled maintenance, operational issues, and Trust & Safety notifications (alerts about resources that may violate the AWS Acceptable Use Policy) land in your inbox […]