Skip to main content

Azure DevOps– Lead time and cycle time

Both lead time and cycle time can be measured and visualized in Azure DevOps.

Lead time is calculated from work item creation to entering a completed state. Cycle time is calculated from first entering an In Progress state to entering a Completed state as visualized below:

The easiest way to get this data is by using the Cycle Time and Lead Time widgets.

  • To enable these widgets, go to the Dashboards page in your Azure DevOps project.

  • Click on Edit on the right.
  • In the Add Widget search box, enter ‘cycle’ to search for the Cycle Time widget. Click on Add to add it to the dashboard

  • On the Configuration page, you can select the team, backlog level and time period. You also have the option to further filter the backlog using field criteria.

  • Click on Save and Close to apply the configuration.

  • Repeat the steps above for the Lead Time widget.

More information: https://docs.microsoft.com/en-us/azure/devops/report/dashboards/cycle-time-and-lead-time?view=azure-devops

Popular posts from this blog

Podman– Command execution failed with exit code 125

After updating WSL on one of the developer machines, Podman failed to work. When we took a look through Podman Desktop, we noticed that Podman had stopped running and returned the following error message: Error: Command execution failed with exit code 125 Here are the steps we tried to fix the issue: We started by running podman info to get some extra details on what could be wrong: >podman info OS: windows/amd64 provider: wsl version: 5.3.1 Cannot connect to Podman. Please verify your connection to the Linux system using `podman system connection list`, or try `podman machine init` and `podman machine start` to manage a new Linux VM Error: unable to connect to Podman socket: failed to connect: dial tcp 127.0.0.1:2655: connectex: No connection could be made because the target machine actively refused it. That makes sense as the podman VM was not running. Let’s check the VM: >podman machine list NAME         ...

Cache stampede: when our cache turned against us

While investigating some performance issues, we ran into an ASP.NET Core API that cached a fairly expensive aggregation query for 60 seconds. Under normal load, that was fine: one request rebuilds the cache, everyone else reads from it. Under peak load, dozens of requests would arrive in that same expiry window, all see a cache miss, and all fire the same expensive query in parallel. The database didn't like that. That was the moment when our caching layer stopped helping and started hurting. A burst of requests comes in at the same time, all miss the cache, and all go hammer the database or the downstream API at once. That's a cache stampede . The cache was supposed to protect our backend, and for a few hundred milliseconds it did the opposite. Why this happens IMemoryCache.GetOrCreate (and its async sibling) looks like it protects you, but it doesn't add any locking on its own. Look at the naive version: public async Task<Report> GetReportAsync(string key) ...

Azure DevOps/ GitHub emoji

I’m really bad at remembering emoji’s. So here is cheat sheet with all emoji’s that can be used in tools that support the github emoji markdown markup: All credits go to rcaviers who created this list.