Pagerly
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Pagerly is an advanced AI-powered operations co-pilot designed to revolutionize incident response for on-call teams within Slack and Microsoft Teams. It acts as an intelligent assistant, providing immediate, context-rich information and actionable prompts to help engineers efficiently debug issues, streamline communication, and reduce mean time to resolution (MTTR) during critical incidents. By integrating directly into existing communication workflows, Pagerly transforms reactive incident management into a more proactive and automated process.
What It Does
Pagerly integrates with communication platforms like Slack and Teams, connecting to various monitoring, ticketing, and knowledge base systems. When an incident occurs, it automatically analyzes the context, retrieves relevant data (e.g., runbooks, past incidents, alerts), and suggests diagnostic steps or remediation actions. It also assists in drafting communications and automating routine tasks, significantly accelerating the incident resolution lifecycle.
Pricing
Pricing Plans
Tailored solutions for large organizations requiring custom features, extensive support, and specific security or deployment needs.
- Custom Integrations
- Dedicated Support
- Advanced Reporting & Analytics
- SLA & Compliance Features
- On-premise/Private Cloud Options
Core Value Propositions
Accelerated Incident Resolution
Reduces MTTR by providing immediate, context-rich information and actionable steps, speeding up diagnosis and remediation.
Reduced Cognitive Load
Minimizes the mental burden on on-call engineers by automating information retrieval and suggesting next steps during high-stress situations.
Enhanced Team Collaboration
Centralizes incident communication and information within familiar platforms, improving coordination among responders and stakeholders.
Automated Routine Tasks
Handles repetitive tasks like drafting updates and updating tickets, freeing up engineers to focus on critical problem-solving.
Improved Operational Efficiency
Standardizes incident response workflows and leverages AI to learn from past incidents, leading to more resilient operations.
Use Cases
Real-time Incident Diagnosis
Automatically identifies the root cause faster by correlating alerts, logs, and monitoring data, and suggesting diagnostic commands or solutions.
Automated Status Updates
Drafts and sends timely updates to internal teams and external customers via integrated communication tools like Statuspage, reducing manual effort.
On-call Handoff Assistance
Provides a concise summary of active incidents, their status, and attempted remediations, ensuring smooth transitions between on-call shifts.
Runbook Execution Guidance
Suggests specific runbook steps or commands based on the incident type, ensuring adherence to best practices and reducing errors.
Post-Mortem Generation
Facilitates the creation of detailed post-mortem reports by aggregating incident timelines, actions taken, and lessons learned for future prevention.
Knowledge Base Querying
Allows on-call engineers to quickly query internal documentation and knowledge bases for solutions without leaving the incident channel.
Technical Features & Integration
AI Incident Summarization
Automatically condenses lengthy incident threads and related alerts into concise summaries, providing immediate context for on-call teams.
Contextual Information Retrieval
Fetches and presents relevant data from monitoring tools, runbooks, documentation, and past incidents directly within the incident channel.
Integrated Workflow Automation
Triggers automated actions like escalating alerts, updating tickets in Jira, or creating Statuspage updates based on incident progress.
Automated Communication Drafting
Generates drafts for internal status updates, stakeholder notifications, and post-mortem reports, ensuring consistent and timely communication.
Post-Incident Analysis Support
Assists in gathering data and structuring insights for post-mortems and retrospectives, fostering continuous improvement in incident management.
Extensive Platform Integrations
Connects seamlessly with PagerDuty, Opsgenie, Datadog, Grafana, Jira, Confluence, Slack, Microsoft Teams, and many other critical ops tools.
Target Audience
Pagerly is primarily designed for on-call engineers, Site Reliability Engineers (SREs), DevOps teams, IT operations, and incident responders. Organizations that rely on Slack or Microsoft Teams for internal communication and manage complex, critical services will benefit most.
Frequently Asked Questions
Pagerly is a paid tool. Available plans include: Enterprise.
Pagerly integrates with communication platforms like Slack and Teams, connecting to various monitoring, ticketing, and knowledge base systems. When an incident occurs, it automatically analyzes the context, retrieves relevant data (e.g., runbooks, past incidents, alerts), and suggests diagnostic steps or remediation actions. It also assists in drafting communications and automating routine tasks, significantly accelerating the incident resolution lifecycle.
Key features of Pagerly include: AI Incident Summarization: Automatically condenses lengthy incident threads and related alerts into concise summaries, providing immediate context for on-call teams.. Contextual Information Retrieval: Fetches and presents relevant data from monitoring tools, runbooks, documentation, and past incidents directly within the incident channel.. Integrated Workflow Automation: Triggers automated actions like escalating alerts, updating tickets in Jira, or creating Statuspage updates based on incident progress.. Automated Communication Drafting: Generates drafts for internal status updates, stakeholder notifications, and post-mortem reports, ensuring consistent and timely communication.. Post-Incident Analysis Support: Assists in gathering data and structuring insights for post-mortems and retrospectives, fostering continuous improvement in incident management.. Extensive Platform Integrations: Connects seamlessly with PagerDuty, Opsgenie, Datadog, Grafana, Jira, Confluence, Slack, Microsoft Teams, and many other critical ops tools..
Pagerly is best suited for Pagerly is primarily designed for on-call engineers, Site Reliability Engineers (SREs), DevOps teams, IT operations, and incident responders. Organizations that rely on Slack or Microsoft Teams for internal communication and manage complex, critical services will benefit most..
Reduces MTTR by providing immediate, context-rich information and actionable steps, speeding up diagnosis and remediation.
Minimizes the mental burden on on-call engineers by automating information retrieval and suggesting next steps during high-stress situations.
Centralizes incident communication and information within familiar platforms, improving coordination among responders and stakeholders.
Handles repetitive tasks like drafting updates and updating tickets, freeing up engineers to focus on critical problem-solving.
Standardizes incident response workflows and leverages AI to learn from past incidents, leading to more resilient operations.
Automatically identifies the root cause faster by correlating alerts, logs, and monitoring data, and suggesting diagnostic commands or solutions.
Drafts and sends timely updates to internal teams and external customers via integrated communication tools like Statuspage, reducing manual effort.
Provides a concise summary of active incidents, their status, and attempted remediations, ensuring smooth transitions between on-call shifts.
Suggests specific runbook steps or commands based on the incident type, ensuring adherence to best practices and reducing errors.
Facilitates the creation of detailed post-mortem reports by aggregating incident timelines, actions taken, and lessons learned for future prevention.
Allows on-call engineers to quickly query internal documentation and knowledge bases for solutions without leaving the incident channel.
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