

How we built an OSS LLM-powered Incident Diagram Generator
Discover IncidentDiagram, an open-source CLI tool that uses LLMs to turn incident retrospectives and codebases into easy-to-understand visual diagrams.
January 3, 2025
5 mins
Incident management software is the backbone of any high-performing response process. The right platform centralizes alerts, automates workflows, and keeps everyone on the same page from the first signal to the final fix.
Every minute counts when a critical service goes down. According to industry research, the average cost of downtime can reach thousands of dollars per minute for technology-driven businesses. Delays in incident response not only impact revenue but also erode customer trust and team morale. Engineering leaders know that reducing incident response time and improving Mean Time to Resolution (MTTR) are top priorities for site reliability engineering and DevOps teams. Yet, many organizations still struggle with fragmented workflows, manual handoffs, and unclear communication during outages. The result: slow detection, delayed fixes, and missed opportunities to learn from incidents. A faster, more reliable incident response process is not just a technical goal—it’s a business imperative.
Incident management software is the backbone of any high-performing response process. The right platform centralizes alerts, automates workflows, and keeps everyone on the same page from the first signal to the final fix. But not all tools are created equal. Here’s what sets the best apart:
For example, a team using automated incident triggers and integrated chat can reduce the time from alert to coordinated response by several minutes compared to manual processes.
Pattern Interrupt:
Manual processes slow teams down and introduce errors. Automation is the key to shrinking MTTR and improving reliability. Leading incident management platforms automate:
Example: An automated workflow can create a Jira ticket, notify the on-call engineer in Slack, and update the incident status—all within seconds of an alert.
incident:
trigger: "service_down"
actions:
- notify: "on_call_engineer"
- escalate: "team_lead" if not_acknowledged in 5m
- create_ticket: "Jira"
- post_update: "Slack #incidents"
Choosing the right tool impacts every stage of the incident lifecycle. Here’s how leading platforms compare on critical criteria:
Rootly stands out for its deep automation, seamless Slack and Jira integrations, and robust post-incident learning features.
The shift toward automation and AI-driven workflows is accelerating. In 2024, more organizations are adopting platforms that not only detect incidents but also automate response and learning. This trend is driven by the need to reduce human error, improve consistency, and free engineers to focus on high-value work. According to Rootly’s documentation, automation eliminates manual, error-prone steps that traditionally slow down incident response, supporting distributed teams and remote work environments.
“Rootly helps streamline your incident response procedure through easy-to-use and powerful automations during each stage of the incident life cycle.”
Fast resolution is only part of the equation. The best teams treat every incident as a chance to improve. Post-incident analytics and customizable postmortem templates help teams:
This continuous improvement loop reduces future incidents and builds a culture of reliability.
Reducing incident response time is achievable with the right tools and processes. Rootly’s platform combines automation, real-time collaboration, and actionable analytics to help engineering teams move from alert to fix in minutes—not hours.
Faster incident resolution is within reach. The right playbook and platform turn every outage into an opportunity for improvement. Visit Rootly to see how your team can resolve incidents faster and build more reliable systems.
Get more features at half the cost of legacy tools.
Get more features at half the cost of legacy tools.
Get more features at half the cost of legacy tools.
Get more features at half the cost of legacy tools.
Get more features at half the cost of legacy tools.