Detect and respond to incidents using Atlassian Intelligence
10 min
Beginner
By the end of this lesson, you'll be able to:
- Group alerts using AI
- Use AI to populate your post-incident reviews
Streamline incident management with AI
The AI feature to group alerts automatically identifies patterns among incoming alerts, correlating and grouping them based on similarities. This allows responders to focus on high-priority alerts and proactively detect incidents, reducing 'alert fatigue' for on-call agents. Instead of handling each alert individually, they can view a summary of similar alerts within an alert group.
By cutting through the noise, AI helps surface the most critical alerts, enabling faster incident detection. It helps on-call teams effectively distinguish between disruptive, noisy alerts and those with a higher impact.
👉 For example: Imagine a situation where a company's network monitoring tools are generating numerous alerts due to a recurring network latency issue. Each alert might have different wording, such as "Network latency detected in region A," "Slow response time in region A," or "High latency affecting services in region A." Although these alerts are worded differently, they all point to the same underlying issue.
The group alerts feature combines alerts into one alert group. This group shows a persistent latency issue in region A, helping the team quickly find the root cause without going through many alerts. By focusing on this single alert, teams can prioritize their responses, simplify troubleshooting, and reduce the time needed to fix the issue. This approach decreases alert fatigue and improves overall efficiency.
AI view for grouped alerts
Use the AI view powered by Atlassian Intelligence to get an overview of similar alerts that are intelligently grouped.
To view alerts grouped by Atlassian Intelligence:
- Go to the Alerts list from either Your Work or your team’s Operations.
- Switch to AI view.
👇 Click the icons to explore how the AI view groups alerts and gives a summary that contains valuable information, such as the count of similar and related alerts, tags, and more.
Create intelligent post-incident reviews (PIRs)
Prevent future incidents with intelligent PIRs
Post-incident reviews (PIRs) or postmortems are key parts of incident handling; they help teams learn from what happened and share tips to prevent or deal with similar issues later. However, putting these together can take time and be labor-intensive, so they often get deprioritized. This means the Operations teams might miss out on important lessons.
Atlassian Intelligence offers AI-generated incident summaries, saving time for the ops team while preserving critical insights. This AI-powered approach reduces the time on-call teams spend on PIRs. It minimizes information loss, leading to more incidents associated with PIRs and quicker resolutions for similar future incidents.
Generate a post-incident summary using AI
- Go to your service project.
- From the navigation on the left, select Incidents.
- Select the incident that has been resolved and for which you want to create a PIR.
- Select Add PIR. This will open the Create post incident review window.
- Select Suggest description.
👇 Here's how you can use AI to generate a summary of the incident to include in your PIR description.
👇 Here's an example of the AI-generated description of the incident that you can add to the PIR description.
6. Review the AI-generated description and select Add to description. The content gets copied into the Description field. Make further edits as necessary.
7. Select Create.
Let's see what you've learned!
QUESTION 1 0F 2
Kavita, an on-call engineer, is dealing with a flood of alerts and is having trouble deciphering which to look at first. She wants to reduce alert fatigue by grouping similar alerts. Kavita decides to use Atlassian Intelligence for this task. How can Kavita effectively group alerts using Atlassian Intelligence?
Select the correct answer.