Operations | Monitoring | ITSM | DevOps | Cloud

In a world of monolithic applications and microservices, responding to incidents can be a painful process, involving multiple people with siloed knowledge jumping between different tools to find the relevant data and take action. Individuals within a business often hold the knowledge of how a particular component works, or how it depends on other services. The key to successfully responding to incidents is unlocking this knowledge and breaking down the silos between teams.

Monitoring is an integral part of most organizations. The monitoring process usually consists of several tools that, combined, show you information about whatever you're monitoring - applications, infrastructure, networks and so forth. While monitoring may seem like an obvious practice to some, it can be challenging to establish the best monitoring strategy for your organization.

As of today, Oh Dear is in a brand new jacket. We've totally redesigned Oh Dear's UI. Our app doesn't only look better, but we've also made it much easier to use. We feel that our new design should speak for itself, so we highly recommend visiting the home page, browsing a bit around, register an account, or log in, and discover the redesigned app yourself. If you've been using Oh Dear before, you'll notice that we polished everything, and the UX should be much better.

As Kubernetes monitoring continues to standardize on Prometheus as a form factor, more and more developers are becoming familiar with Prometheus’ built-in query language, PromQL. Besides being bundled with Prometheus, PromQL is popular for being a simple yet expressive language for querying time series data. It’s been fully adopted by the community, with lots of great query repositories, sample playbooks, and trainings for PromQL available online.