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Product Suite

Flashduty is a unified observability platform designed for DevOps, SRE, and operations teams, providing end-to-end solutions from monitoring and alerting to incident response.

AI SRE

Autonomous troubleshooting Agent

On-call

Accelerate alert response

RUM

Real user experience monitoring

Monitors

Unified monitoring platform

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AI SRE Autonomous Troubleshooting

A conversational, autonomous SRE Agent: issue instructions in natural language, and the AI investigates incidents, finds root causes, calls tools, and accumulates reusable operational knowledge. Integrated deeply with Flashduty incident response and IM collaboration.
  • Chat to troubleshoot: the Agent plans, calls tools, and streams its investigation and conclusion
  • Integrated with incident response: spin up a session from an incident or war room with full context
  • Knowledge that compounds: DUTY.md-rooted Knowledge Packs hold long-lived operational context
  • Extensible tooling: Skills, MCP, A2A Agents, and self-hosted Runners
  • Start an investigation from the console or an IM group, visible to the whole team
  • Automatic initial diagnosis posted back to the incident war room
  • Use /insight to review the last 30 days and quantify operational friction
  • Build reusable runbooks and troubleshooting flows
AI SRE is available to accounts on an On-call Pro or higher subscription, with no application needed. Starting September 16, 2026, 08:00 Beijing time, it’s billed on actual usage. See the AI SRE introduction and billing terms.

Product overview

Learn the full capability map and console navigation

Get started

Create a session and start conversational troubleshooting

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On-call Alert Management

A unified intelligent alert response platform: reduce noise, schedule, assign, escalate, and notify to help teams respond to and handle production incidents quickly.
  • Intelligent noise reduction: Alert grouping, inhibition, and deduplication to reduce 90% of alert noise
  • Flexible assignment: Multi-level escalation, dynamic routing, and rotation scheduling
  • Multi-channel notifications: Feishu/Lark, Dingtalk, WeCom, Slack, phone calls, SMS
  • Rich integrations: Native support for 50+ alert sources
  • Build 7x24 on-call systems to ensure service availability
  • Aggregate alerts from multiple sources into a unified incident management portal
  • Establish escalation mechanisms to ensure timely response
  • Analyze alert data to continuously improve monitoring quality

Quick Start

Complete your first alert integration in 5 minutes

Product Comparison

In-depth comparisons with PagerDuty and Opsgenie

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RUM User Experience Monitoring

Real User Monitoring helps you understand how real users experience your application and quickly identify and resolve frontend issues.
  • Performance monitoring: Full-chain tracking of page loads, resource loads, and API calls
  • Error tracking: Automatic collection and grouping of JS errors and network errors
  • Session replay: Reproduce user operation paths to quickly replicate issues
  • Custom metrics: Report business-specific metrics to meet personalized needs
  • Monitor core web vitals (LCP, FID, CLS) for web applications
  • Track and analyze frontend errors to improve application stability
  • Analyze user behavior paths to optimize product experience
  • Correlate with backend traces for full-stack observability

Quick Start

Integrate SDK to start monitoring

Performance Analysis

Learn about performance metrics and analysis methods

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Monitors Management

Onboard data sources scattered across network zones and manage alert rules centrally; rules are evaluated locally by the alert engine deployed next to your data, and the events they produce flow into On-call.
  • Multiple data source types: Prometheus, VictoriaLogs, Loki, Elasticsearch, SLS, and Tencent Cloud CLS for metrics and logs, plus MySQL, PostgreSQL, Oracle, ClickHouse, Redis, Kafka, and MongoDB for databases and middleware
  • Local evaluation next to your data: monitedge runs inside your private network, syncs rules from SaaS and queries data sources locally, so data never leaves your network; engine instances in the same cluster shard the rules automatically
  • Three evaluation modes: threshold, no-data, and any-data, with consecutive or cumulative hit counting and per-level recovery semantics
  • Unified management views: manage rules in a folder tree, with overview, active alerts, Query Workbench, Entity Tree and dashboards, plus rule import/export and change audit
  • Monitoring is spread across multiple clouds and data centers, and you want to onboard sources and manage alert rules in one place
  • Data sources live in a private network without public access, and alert evaluation should stay local
  • Manage Prometheus, log, database, and middleware alerting under one workflow
  • Let rule-generated alerts flow straight into Flashduty grouping, escalation, and routing

Quick Start

Create your first monitoring task

FAQ

Answers to common questions

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Developers

Integrate Flashduty through Open API and Webhooks for automation and custom development.

Quick Start

Authentication, request specs, error handling

API Catalog

All 354 endpoints organized by module

About Pagination

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Contact Us

Technical Support

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Business Inquiries

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Console Feedback

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Email

support@flashcat.cloud