Overview
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
Paid
Detailed plans have not been confirmed in our catalog. Check the official website for current limits and billing terms.
Visit WebsitePrices and limits may change. Confirm the currency, billing period, seat minimum and usage caps on the official website.
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.
Features
AI incident co-pilot in chat
Automatic context-aware alert enrichment
One-click access to logs and dashboards
On-call routing and escalation in Slack/Teams
Guided runbooks and remediation suggestions
Incident timelines and auto-generated summaries
Integrations with monitoring and ticketing tools
Searchable history of past incidents
Reviews
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FAQ
What is Pagerly and who is it for?
Pagerly is an AI-powered operations co-pilot that runs inside Slack and Microsoft Teams. It is built for DevOps, SRE, and engineering teams that manage production systems and need faster, more efficient incident response.
How does Pagerly help during incidents?
During an incident, Pagerly automatically surfaces relevant logs, dashboards, runbooks, and historical incidents in chat based on the alert context. Engineers can ask natural-language questions, get remediation suggestions, coordinate on-call handoffs, and generate timelines and summaries without leaving Slack or Teams.
Which tools does Pagerly integrate with?
Pagerly connects to common monitoring, alerting, incident management, and version control tools (such as APM platforms, logging solutions, ticketing systems, and Git providers) to centralize operational context. Exact integrations may vary, so check the Pagerly website or documentation for the latest list.
How is Pricing handled for Pagerly?
Pricing details are not publicly specified and may depend on your team size, usage, and feature needs. Contact the Pagerly team through their website to get current pricing, trial options, and a plan that fits your organization.
Is Pagerly secure for enterprise use?
Pagerly is designed with enterprise needs in mind and follows industry best practices for data security and access control. It typically leverages your existing Slack/Teams permissions and integrates with tools via secure APIs. For detailed security information, review the security documentation or contact the Pagerly team.