Data from monitoring tools like Datadog are useful for developers to help them understand whether the code they've deployed is healthy or needs to be fixed or rolled back, or when there is an incident to investigate. As a deployment mission control, Sleuth helps developers see metrics data from a developer-centric point of view - by deployment - and interpret such data for them.
One of our most commonly requested integrations, Datadog cloud monitoring, was announced last week on the Datadog blog! Sleuth organizes your deployments into projects, which collect and organize key data from your code sources and their associated staging environments. This data consists of metrics and errors.
At times, directing projects in multiple locales from a desktop or laptop feels like conducting an orchestra in the dark. Coordinating with diverse, remote teams of developers producing software on an agile schedule of continual updates and releases can be especially nerve-wracking. At Sleuth, we’re crushing the remote-work challenge because, in 20 years of managing from afar, we’ve learned a thing or two — actually three — about how to do it right.
As a small startup, and a fully remote one to boot (thanks COVID), having only the “right” amount of meetings is crucial. Over-index on meetings and your team will get nothing done. Go too far the other way and your team won’t understand the vision, why you are doing what you are doing, and won’t be able to form the personal bonds that are required for a small team to succeed. We set aside 45 minutes every morning to discuss pretty much anything and everything.
