Zenduty
UnclaimedEnd-to-end incident management and response orchestration for DevOps and SRE teams.
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TL;DR - Zenduty
- AI-powered incident management reduces alert noise and automates root cause analysis.
- Streamlines on-call scheduling and incident response workflows for faster resolution.
- Integrates with over 100 tools for a unified view of operational health and communication.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Significantly reduces MTTA and MTTR, with reported reductions over 60%.
- Minimizes alert fatigue by suppressing noisy alerts and prioritizing critical ones.
- Enhances team productivity by reducing context switching and automating manual tasks.
- Provides a comprehensive 360-degree view of operational health.
- Offers extensive integrations with over 100 monitoring, communication, and ticketing tools.
Cons
- Specific pricing tiers and their feature breakdowns are not immediately visible on the main pages.
- The effectiveness of AI features is dependent on the quality and volume of historical incident data.
Key Features
AI-powered incident management and alert correlationCustomizable and data-driven on-call rotationsAutomated playbooks and runbooks for incident responseMobile application for critical incident alerts (iOS and Android)Real-time collaboration and task delegationIntegration with Slack, Jira, and Microsoft TeamsIntelligent alert routing based on time, service, severity, and team expertiseAutomated timeline reconstruction and blameless postmortem templates
Pricing
Freemium
Zenduty offers a generous free tier with optional paid upgrades for advanced features.
About Zenduty
By Toolradar Team·
Xurrent IMR, formerly Zenduty, is a robust incident management and alerting platform designed to help organizations reduce alert fatigue, decrease Mean Time to Acknowledge (MTTA) and Mean Time to Resolve (MTTR), and improve operational health. It provides a single pane of glass view of production operations, enabling teams to respond to and resolve incidents significantly faster.
The platform leverages AI-driven tools to automate manual tasks, prioritize critical alerts, and provide real-time insights, learning from incident history to surface relevant context. It caters to DevOps and SRE teams by offering features like intelligent alert correlation, automated root cause analysis, fair on-call scheduling, and comprehensive post-incident analysis, ultimately fostering a culture of continuous improvement and reducing on-call burnout.
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Zenduty FAQ
How does Xurrent IMR's AI differentiate between critical alerts and non-actionable noise?
Xurrent IMR's AI utilizes intelligent correlation and learns from your incident history to identify patterns. It automatically suppresses duplicate and low-priority alerts, ensuring that only actionable alerts reach responders, thereby reducing alert noise by up to 80%.
Can Xurrent IMR's AI assist with root cause analysis (RCA) directly within communication platforms like Slack?
Yes, Xurrent IMR's AI can extract relevant facts from complex alert payloads using Natural Language Processing (NLP) directly within Slack. Users can ask questions like "Which region was impacted?" or "What caused this alert?" to receive precise, actionable insights instantly, eliminating manual data crawling.
What specific benefits does the mobile application offer for incident response on the go?
The Zenduty mobile application for iOS and Android allows users to receive critical incident alerts on their phones and smartwatches. It provides a brief overview of the incident, enabling users to acknowledge the incident directly from the push notification without needing to access a desktop.
How does Xurrent IMR ensure fair and balanced on-call schedules to prevent burnout?
Xurrent IMR enables the creation of customized and data-driven on-call rotations. It incorporates intelligent escalation policies to ensure critical issues reach the right expert without waking the entire team, aiming to reduce burnout and promote work-life balance for on-call engineers.
Beyond basic integrations, how does Xurrent IMR facilitate bi-directional synchronization with existing tools?
Xurrent IMR sits at the center of the incident response workflow, connecting monitoring, communication, and ticketing tools. It ensures real-time bi-directional sync, meaning that updates made in platforms like Slack or Jira are reflected in Xurrent IMR, and vice-versa, keeping all stakeholders informed with the latest information.
What kind of information does Xurrent IMR's AI collect for automated post-mortem reports?
The AI collects and condenses all relevant incident context into an actionable post-mortem report. This includes tasks performed, logs, notes, Slack conversations, and meeting summaries, creating a clear, reusable record to drive continuous learning and improvement after every incident.
Source: zenduty.com