Operations | Monitoring | ITSM | DevOps | Cloud

In 2019, Polar Signals Founder and CEO Frederic Branczyk predicted that continuous profiling would be the future of observability. Today, he’s making that future a reality with his open source continuous profiling tool, Parca. In this episode of “Grafana’s Big Tent” podcast, our hosts Matt Toback and Tom Wilkie chatted with Frederic about how he got his start in the continuous profiling world and how he’s built an active open source community around Parca.

A while ago, I wrote about how we track on-call health, and I heard from various people about how “expecting to be woken up” can be extremely unhealthy, or how tracking the number of disruptions would actually be useful. I took that feedback to heart and wanted to address the issues they raised, and also provide some numbers that explain the position I took with these metrics on alerts.

InfluxDB is very powerful for working with time series data, but learning to use any new tool can be intimidating. The fear of a steep learning curve can delay or even prevent people from using new tools that would ultimately make things easier and more efficient. Fortunately, InfluxDB has over a dozen client libraries so you can work with InfluxDB using a language you already know.

At incident.io, we’re continually building out our integrations to work with all the tools you already know and love. Next on the list, is our first bug tracker, Sentry. Try posting a Sentry link on your next incident to check it out.

Nobody likes using an unstable mobile app or even worse, an app that crashes on them. In fact, 9 out of 10 US and UK consumers report uninstalling a mobile application due to poor performance. Crash rates and snappy experiences matter for all applications, but especially for mobile apps. Mobile app crashes and poor performance not only cause users to abandon an app but can also trigger the app to be ranked lower in Apple App Store and Google Play Store search results.