Pagerly

New4

Pagerly is an AI-powered operations co-pilot that lives where your engineers already work: Slack and Microsoft Teams. Designed for modern DevOps and SRE teams, Pagerly automatically surfaces the right context during incidents—logs, dashboards, runbooks, on-call schedules, and past similar issues—so responders can move from alert to resolution in minutes, not hours. Instead of switching between monitoring tools, ticketing systems, and chat, engineers can ask Pagerly questions in natural language and get actionable answers directly in chat. Pagerly integrates with popular observability, incident management, and version control platforms to build a unified view of your production environment. It helps you route alerts to the right on-call engineer, suggests next steps based on historical fixes, and guides new team members through established remediation procedures. During and after an incident, Pagerly keeps everyone aligned with timelines, updates, and summaries that are easy to share with stakeholders. Whether you are running a small startup stack or a complex microservices architecture, Pagerly reduces cognitive load, shortens mean time to recovery (MTTR), and improves on-call experience. With built-in AI assistance, teams can standardize best practices, reduce manual toil, and turn every incident into a learning opportunity—without leaving Slack or Teams.

Pricing免费

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Features

AI incident co-pilot in chat
Automatic context-aware alert enrichment
One-click access to logs and dashboards

Use Cases

On-call engineers receive an incident in Slack, ask Pagerly for related logs and dashboards, and quickly identify the root cause without opening multiple tools.
A junior SRE handles a nighttime production outage by following Pagerly’s suggested runbook steps and previous similar incidents, reducing MTTR and stress.
During a major incident, Pagerly keeps stakeholders updated in a dedicated channel with an evolving timeline, status updates, and a post-incident summary.
Engineering managers analyze recurring incidents using Pagerly’s historical context to improve runbooks, alerting thresholds, and reliability strategies.
Distributed teams use Pagerly to coordinate handoffs between time zones, ensuring the right on-call engineer is notified and fully briefed within chat.

Pagerly

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Frequently Asked Questions

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