Category: DevOps

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 […]

Introduction July was a busy month for AWS Observability. We launched features to make the telemetry you already collect more actionable, and take the operational work of collecting it off your hands. Log analytics moved closer to action with alarms that run straight from a log query and enrichment that happens at ingestion. Application-level observability […]

Your on-premises firewalls, routers, and switches emit syslog that record device events such as denied connections, tunnel state changes, and routing changes. Network devices send their logs over syslog rather than the Amazon CloudWatch Logs API, so bringing that data into AWS takes extra components. A common approach has been to run a collection tier […]

The production standards that matter most are often the ones no general purpose tool is built to check. For example, the read replica behind your customer dashboard can’t lag more than five seconds behind the primary, but the analytics replica can tolerate lag during peak ingestion. The nightly extract, transform, and load (ETL) job should […]