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Monitoring ongoing problems

Alerts are perfect for a condition you can define up front. But a lot of monitoring is about keeping an eye on a set of problems you already know about: the open issues on your newest release, the crashes concentrated on one hardware version, or the handful of issues your team agreed to watch this sprint. This topic covers the tools that make that ongoing watch repeatable instead of something you rebuild by hand every morning.

Saved issue searches

On the Issues list, the filter panel lets you narrow issues by software version, cohort, status, and more. Once you have a filter you return to often, save it as a Saved Issue Search:

  • Save creates a new saved issue search from the current filters.
  • Save As saves the current filters as a separate new search.
  • Delete removes the saved search you currently have open.

Saved searches can be renamed, deleted, or favorited from the All Saved Searches page in the expandable Issues section of the sidebar. Favorited searches also appear there, so the views your team cares about are always one click away. A saved search such as “Open, critical, on 1.4.x” becomes a living dashboard: reopen it any day and it reflects the current state.

Summaries and staying notified

Monitoring should not require you to remember to look. Two mechanisms push the state of ongoing problems to you:

  • Scheduled incident summaries. When configuring an alert, instead of (or in addition to) being pinged on every incident, you can choose a scheduled summary of incidents and set one to four schedules. This delivers a digest of new and active incidents at the cadence you pick, which keeps a noisy alert from flooding your inbox while still keeping you informed.
  • Regression notifications. When an issue you resolved reappears in a newer software version, nRF Cloud automatically reopens it and notifies subscribed users. You can also Mute an issue you never want to reopen. This means a fixed problem that quietly comes back does not slip past you.

More on this

Issue Insights, an AI-generated summary of a single issue’s likely root cause, scope, and next steps, can also speed up triage of an ongoing problem. It is part of nRF Cloud’s AI Features (also accessible through the Nordic MCP) and may be covered in future courses.

Putting it together

A practical monitoring routine combines all three: alerts catch the conditions you can name, saved issue searches frame the problems you are actively tracking, and scheduled summaries plus regression notifications make sure the state comes to you. Together they turn nRF Cloud from a tool you check into an early-warning system that checks for you.

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