If you're using Oban for managing background jobs in your Elixir application and want to gain a deeper data-driven understanding of how they perform, you've come to the right place. AppSignal for Elixir now automatically instruments Oban, meaning you can now monitor the performance of your background jobs through an AppSignal Magic Dashboard, which gives you detailed information on queue times, processing times, and notifies you of any exceptions.

At Grafana Labs, we love tracing, which is why we’ve been hard at work on Grafana Tempo, an open source, highly scalable distributed tracing backend. Tempo just had its 2.0 release. In conjunction with that release, we are excited to show off TraceQL — a powerful new query language designed for distributed tracing. In this blog, we’ll provide an overview of why we created TraceQL, how it works, how you can put it to use today, and what we have planned for future iterations.

This is part 2 of a 3-part series on profiling. If you’re not yet familiar with the what profiling is, check out the first part in our series. By this point, you’re probably already convinced that good performance is important for your app’s success. There are many tools available for performance, but profiling in production with a modern profiling tool is one of the easiest and most effective ways to get a full understanding of your app’s performance.

When adding new Checks in Checkly a number of locations are available to check your endpoints from multiple locations around the world. For most use cases this is more than enough to ensure your resources are online. However, these locations are outside of your network and are unable to check on resources deployed more securely inside your private network.

According to Virtana’s recent State of Hybrid Cloud Storage survey, most organizations have a little over half of their storage in the cloud, keeping the rest on premises. But how are they deciding what storage goes where? Is there such a thing as a wrong—or even just sub-optimal—storage placement decision? We dug into the data to answer these questions.

Historically, software development and SRE have worked in silos with different cultural perspectives and priorities. The goal of DevOps is to establish common and complementary practices across software development and operations. Sadly, in some organizations true collaboration is rare and we still have a way to go to build effective DevOps partnerships.