Dashboards

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.

Have you ever struggled to have efficient visibility into your APM and log data? Have you ever been called on to display real-time data to your Sales or Marketing department, only to find yourself fumbling over the numbers without a way to display relevant data? Look no further! Retrace collects huge amounts of data about your application’s health and performance, then provides a customizable display in one place – your customizable APM Dashboards.

The Grafana Agent team is excited to announce Grafana Agent Flow, our newest experimental feature in today’s Grafana Agent v0.28.0 release. Flow is an easier and more powerful way to configure, run, and debug the Grafana Agent! 🎉

SquaredUp Cloud has been in development for over two years (we first previewed it at SquaredUp Live, Spring 2021). It continues our mission to unlock and summarize data – think of it like “BI for engineering”. In building SquaredUp Cloud, we drew upon what we’ve learned with our Microsoft solutions over the last ten years, and built a solution independent of any one tool, like SCOM.

At Grafana Labs we run a lot of distributed databases. These distributed databases all make use of a hash ring in order to evenly distribute workloads across replicas of certain components. For a more detailed description of the architecture of our projects, check out our Mimir architecture docs.

Although there are many great tools out there to get on top of application monitoring, there’s one vital metric that’s often overlooked by us technical folks – cost. In the days of running apps on servers in private datacenters, the kit was a one-time purchase that the systems team had to deal with. But running apps in public clouds is a different story. Whether you’re running on VMs, containers in Kubernetes, or entirely serverless, execution of your code adds to the bill.

Armin Müller is the co-founder of ScopeSET. ScopeSET specializes in R&D work to build and integrate tools in the model-based systems engineering domain, with a track record of more than 15 years of delivering innovative solutions for ESA and the aerospace industry. Training machine learning models takes a lot of time, so we’re always looking for ways to accelerate the process at ScopeSET. We use open source components to build research and development tools for technical companies.