PagerDuty Use Case Library
Discover what PagerDuty can do for you. Reduce expertise required to write and execute automation and get inspiration for AI use cases. Below are some examples to get you started.
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Standardize business and technical workflows across people, tools, and systems, and eliminate manual work with PagerDuty Automation.
Instantly access the scope of customer impact and identify relevant support tickets during an incident.
Use AI to gain visibility into recent code modifications that may have triggered an incident.
Integrate seamlessly with Kubernetes clusters, enabling DevOps teams to automate complex scaling tasks
Library
Quickly identify replication failures or delays and execute predefined scripts to gather diagnostic information.
Automate the retrieval and documentation of environment configurations, dependencies, and application versions across diverse platforms.
Detect and resolve duplex mismatches by scheduling and executing predefined tasks and scripts across network devices.
Streamline routine operational tasks, such as monitoring and managing Kubernetes pods
Standardize business and technical workflows across people, tools, and systems, and eliminate manual work with PagerDuty Automation.
Instantly access the scope of customer impact and identify relevant support tickets during an incident.
Automate the execution of SQL scripts to perform routine health checks on databases
Automate backups, performance tuning, and monitoring to ensure critical tasks are performed consistently and efficiently.
Ensure consistent, accurate cleanup of unused storage, reducing costs and enhancing data security by minimizing exposure.
Cut through the noise and focus on what matters with guided troubleshooting.
Provide a consistent and isolated environment for running applications and scripts to enhance efficiency and accelerate development cycles.
Automatically create post-incident summaries from Slack and Microsoft Teams data to streamline your Post-Incident Reviews.
Check cluster health and status, detect anomalies, and gathers logs and metrics for analysis
Use AI to gain visibility into recent code modifications that may have triggered an incident.
Access essential PagerDuty information directly from the chat to streamline your support experience.
Quickly pinpoint storage issues, optimize resources, and prevent costly downtime.
Enable timely and efficient management of log data, preventing storage bloat and ensuring that critical logs remain accessible.
Enable safe and seamless scaling, ensuring minimal disruption to services.
Ensure consistent, secure configurations across environments, reducing setup time and operational risks.
Automate the scheduling and execution of routine tasks like deploying applications, scaling resources, and managing configurations.
Automating the removal of unused IPs reduces waste and frees up resources for active workloads.
Reduce clutter, optimize costs, and ensure efficient resource allocation.
Reduce operational complexity and unnecessary expenses while maintaining compliance.
Integrate seamlessly with Kubernetes clusters, enabling DevOps teams to automate complex scaling tasks
Handle app and service scaling by automating the deployment and scaling of applications in Kubernetes clusters.
Automate the execution of schema changes across development, testing, and production environments.
Initiate change requests through a user-friendly interface, while approval processes automatically involve relevant stakeholders.
Process and approve access requests, reducing the manual workload for IT teams.
Ensure precise control over permissions, granting engineers necessary access for a limited time, with all actions logged for security and compliance.
Automate the execution of tasks such as restarting services, adjusting resource allocations, or triggering alerts based on CPU thresholds.