As discussed in my previous posts (Part 1 and Part 2) on managing Alerts with Jira Service Management, the way JSM handles alerts is crucial for keeping IT operations smooth. But what happens when an alert pops up at 3 AM? Who gets notified, and how? That’s where on-call management comes in.
Jira Service Management (JSM) provides built-in on-call scheduling that ensures the right people are notified at the right time. It offers three key features:
Let’s take a closer look at how these work and why they matter.
Imagine you’re managing an IT support team responsible for different services – database operations, network security, and application monitoring. Suddenly, an alert comes in for a critical database failure.
This structured approach prevents alert fatigue while ensuring critical issues get immediate attention and on-call duties are managed, helping teams respond efficiently while minimizing burnout.
Jira Service Management’s on-call features are designed to streamline incident handling for teams, ensuring that alerts reach the correct team members at the right time. Here’s a breakdown of the three key features:
Routing rules – Send alerts where they matter
Routing rules define how alerts reach the correct team based on factors like priority, service type, or issue category.
Example: If a high-priority alert is related to a network outage, it’s automatically routed to the Network Operations Team, while database alerts go to the DBA Team.
This prevents irrelevant alerts from reaching the wrong people and ensures that the most qualified team handles each incident.
Escalations – No alert left behind
Escalation policies ensure that alerts don’t get ignored. If the first on-call engineer doesn’t respond, the alert is escalated to the next level.
Example: If the on-call engineer doesn’t acknowledge an alert within 10 minutes, it gets escalated to a senior engineer or team lead. If another 15 minutes pass with no response, it escalates to management.
This ensures urgent issues are resolved quickly without relying on a single point of failure.
Schedules – The right person at the right time
On-call schedules define when team members are available to respond to alerts.
Example: Your support team has weekday, weekend, and night shifts. With schedules in place, alerts only notify those who are actually on-call at that time – no more waking up the wrong team member at 2 AM!
Plus, schedules can rotate automatically, ensuring fair workload distribution.
Jira Service Management provides several best practices for handling on-call schedules efficiently. Here’s a quick breakdown with real-world examples:
Balance Workloads – Avoid burning out your team by rotating shifts fairly. Example: instead of one engineer being on-call every weekend, rotate shifts among multiple team members.
Minimize Alert Fatigue – Filter non-critical alerts and use routing rules to ensure only relevant alerts reach on-call engineers. Example: low-priority alerts (like disk space warnings) can be batched into daily summaries, while critical alerts trigger immediate notifications.
Define Clear Escalation Paths – Make sure everyone knows what happens if an alert is missed. Example: if an alert isn’t acknowledged within 10 minutes, it escalates to another team member; after 30 minutes, it reaches a manager.
Regularly Review and Optimize Schedules – Analyze past incidents to adjust schedules and policies. Example: if most alerts occur during early morning hours, you might adjust on-call shifts to have more coverage at that time.
Jira Service Management makes on-call management simple, smart, and stress-free. By setting up routing rules, escalation policies, and schedules, teams can handle alerts efficiently without unnecessary interruptions.
A well-structured on-call system means fewer missed alerts, less fatigue, and faster incident resolution. How does your team manage on-call rotations?
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