Use Case Library | PagerDuty

Azure Active Directory Replication

Quickly identify replication failures or delays and execute predefined scripts to gather diagnostic information.

Capture Environment State

Automate the retrieval and documentation of environment configurations, dependencies, and application versions across diverse platforms.

Check for Duplex Mismatch

Detect and resolve duplex mismatches by scheduling and executing predefined tasks and scripts across network devices.

Check Pod Status and Errors

Streamline routine operational tasks, such as monitoring and managing Kubernetes pods

Cloudwatch Logs

Standardize business and technical workflows across people, tools, and systems, and eliminate manual work with PagerDuty Automation.

Customer Impact Analysis

Instantly access the scope of customer impact and identify relevant support tickets during an incident.

Database Health Check

Automate the execution of SQL scripts to perform routine health checks on databases

Database Management

Automate backups, performance tuning, and monitoring to ensure critical tasks are performed consistently and efficiently.

Deprovisioning Storage

Ensure consistent, accurate cleanup of unused storage, reducing costs and enhancing data security by minimizing exposure.

Diagnostic Analysis

Cut through the noise and focus on what matters with guided troubleshooting.

Executing Commands in Docker Containers

Provide a consistent and isolated environment for running applications and scripts to enhance efficiency and accelerate development cycles.

Generate Post-Incident Summaries

Automatically create post-incident summaries from Slack and Microsoft Teams data to streamline your Post-Incident Reviews.

GKE Cluster Connectivity

Check cluster health and status, detect anomalies, and gathers logs and metrics for analysis

Investigate Root Cause

Use AI to gain visibility into recent code modifications that may have triggered an incident.

Knowledge Base Search

Access essential PagerDuty information directly from the chat to streamline your support experience.

List Top Disk Consuming Files

Quickly pinpoint storage issues, optimize resources, and prevent costly downtime.

Log Rotation and Cleanup

Enable timely and efficient management of log data, preventing storage bloat and ensuring that critical logs remain accessible.

Manage Size of EC2 Machine

Enable safe and seamless scaling, ensuring minimal disruption to services.

Provision New Data Storage

Ensure consistent, secure configurations across environments, reducing setup time and operational risks.

Recent Pod Logs

Automate the scheduling and execution of routine tasks like deploying applications, scaling resources, and managing configurations.

Remove Elastic IP

Automating the removal of unused IPs reduces waste and frees up resources for active workloads.

Remove Unused Lambda Functions

Reduce clutter, optimize costs, and ensure efficient resource allocation.

Remove Unused VPCs

Reduce operational complexity and unnecessary expenses while maintaining compliance.

Scale Kubernetes Deployment

Integrate seamlessly with Kubernetes clusters, enabling DevOps teams to automate complex scaling tasks

Scaling Application Instances

Handle app and service scaling by automating the deployment and scaling of applications in Kubernetes clusters.

Schema Change Management

Automate the execution of schema changes across development, testing, and production environments.

Self-Service Config Changes for Business Users

Initiate change requests through a user-friendly interface, while approval processes automatically involve relevant stakeholders.

Temporary Access to Files

Process and approve access requests, reducing the manual workload for IT teams.

Temporary Access to Services

Ensure precise control over permissions, granting engineers necessary access for a limited time, with all actions logged for security and compliance.

Top CPU Consuming Processes

Automate the execution of tasks such as restarting services, adjusting resource allocations, or triggering alerts based on CPU thresholds.

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