PagerDuty Automation Use Case Library
Discover what PagerDuty Automation can do for you. Simplify job authoring configuration and reduce expertise required to write and execute automation. Below are some examples to get you started.
Featured Automations
Standardize business and technical workflows across people, tools, and systems, and eliminate manual work with PagerDuty Automation.
Integrate seamlessly with Kubernetes clusters, enabling DevOps teams to automate complex scaling tasks
Streamline routine operational tasks, such as monitoring and managing Kubernetes pods
Automate backups, performance tuning, and monitoring to ensure critical tasks are performed consistently and efficiently.
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Diagnostics
Quickly identify replication failures or delays and execute predefined scripts to gather diagnostic information.
Standardize business and technical workflows across people, tools, and systems, and eliminate manual work with PagerDuty Automation.
Automate the execution of schema changes across development, testing, and production environments.
Automate the execution of SQL scripts to perform routine health checks on databases
Check cluster health and status, detect anomalies, and gathers logs and metrics for analysis
Ensure precise control over permissions, granting engineers necessary access for a limited time, with all actions logged for security and compliance.
Process and approve access requests, reducing the manual workload for IT teams.
Detect and resolve duplex mismatches by scheduling and executing predefined tasks and scripts across network devices.
Automate the retrieval and documentation of environment configurations, dependencies, and application versions across diverse platforms.
Automate the execution of tasks such as restarting services, adjusting resource allocations, or triggering alerts based on CPU thresholds.
Integrate seamlessly with Kubernetes clusters, enabling DevOps teams to automate complex scaling tasks
Streamline routine operational tasks, such as monitoring and managing Kubernetes pods
Automate backups, performance tuning, and monitoring to ensure critical tasks are performed consistently and efficiently.
Handle app and service scaling by automating the deployment and scaling of applications in Kubernetes clusters.
Automate the scheduling and execution of routine tasks like deploying applications, scaling resources, and managing configurations.
Initiate change requests through a user-friendly interface, while approval processes automatically involve relevant stakeholders.