In the world of observability, data is only as valuable as your ability to interact with it. That’s why we’re introducing Global Dashboard Parameters, a new Lumigo feature that empowers you to filter and explore your data across traces, logs, and metrics more dynamically than ever before.

Across companies of all shapes and sizes, observability practices are maturing and getting attention at the highest levels. At the same time, cost and complexity continue to hinder efforts as teams look to emerging tools to help simplify their processes in hopes of better outcomes. With so much in flux, we went into our third annual Observability Survey hoping to get a window into the ways the community is approaching observability and where it wants it to go next.

If you are a DevOps manager you will be keenly aware that the role involves managing multiple toolchains across different clouds, platforms and environments. You also need to report on KPIs, DORA metrics, governance, security and a lot more. At SquaredUp, we understand these demands and have developed a suite of plugins and ready-to-run dashboards to help you reduce toil as well as pull all of your key analytics together within a single pane of glass.

Zendesk is one of the most popular customer service platforms, known for its ease of use, robust ticketing system, and powerful automation capabilities. While Zendesk comes with native reporting and dashboards, they can be limited in terms of customization and data correlation across different sources. Additionally, building complex visualizations in Zendesk often requires more advanced knowledge of their reporting tools. This is where SquaredUp comes in!

In any observability stack, logs are essential for uncovering insights, troubleshooting issues, and ensuring system health. However, managing the security of logged data presents its own challenges, especially when it comes to preventing sensitive information, like API keys and credentials, from slipping into logs. Secrets can originate from a variety of sources, and it’s often challenging to predict which applications or services might inadvertently expose sensitive information.