PagerDuty Automated Remediation
A tool designed to reduce mean time to recover (MTTR) and alert fatigue in incident response processes through automation.
| Category | Incident Response & Forensics |
|---|---|
| GitHub Stars | 7 |
| Last Commit | 3 years ago |
| This page updated | a month ago |
| Pricing Details | Free and open source under Apache License 2.0 |
| Target Audience | DevOps teams, incident response teams, and organizations looking to improve incident management. |
The PagerDuty Automated Remediation tool manages reducing mean time to recover (MTTR) and alert fatigue in incident response processes. This is achieved through a robust automation framework that integrates tightly with incident response workflows.
Technically, the tool leverages a multi-phase approach to automation. It begins with automating the alerting process, linking alerts from monitoring systems to the appropriate on-call responders and teams within PagerDuty. This automation can be extended to include human-initiated automation, such as buttons or bots in the NOC, and eventually to fully automated self-healing systems. These systems include a running service, a monitoring component, and software components that can restore the service without external intervention.
Operationally, the tool emphasizes the use of runbooks and automation artifacts to document best practices and ensure that expert knowledge is always available, even when the expert is not on call. This involves sophisticated permissions and privilege management tools to control who can execute specific tasks on certain systems. The automation development process is structured around identifying and automating the most frequent tasks to maximize return on investment.
Key operational considerations include the need to analyze long-term alert and incident trends to identify the best candidates for automated remediation. Additionally, the tool must be integrated with existing monitoring systems and incident response workflows, which can present challenges, especially in regulated environments or when dealing with legacy systems. The documentation and development process are supported by tools like MkDocs for creating and maintaining the static site, and GitHub for version control and collaboration.