Operations | Monitoring | ITSM | DevOps | Cloud

Software engineering teams that adopt “as-code” practices, like using configuration files and automated workflows instead of manual configuration and tools, gain major improvements in velocity. But even companies that enjoy the success of as-code practices for development and delivery lag behind in applying them to operational concerns like monitoring and observability.

Relabeling is a powerful tool that allows you to classify and filter Prometheus targets and metrics by rewriting their label set. The purpose of this post is to explain the value of Prometheus’ relabel_config block, the different places where it can be found, and its usefulness in taming Prometheus metrics. Much of the content here also applies to Grafana Agent users. For reference, here’s our guide to Reducing Prometheus metrics usage with relabeling.

I wrote a lot about the performance metrics of the equals method and hash code in this article. There are many nuances that can lead to performance problems in those methods. The problem is that some of those things can be well hidden. To summarize the core problem: the hashcode method is central to the java collection API. Specifically, with the performance of hash tables (specifically the Map interface hash table). The same is true with the equals method.

These last two years have been eye opening for many business leaders and board room directors. With the “great resignation” in full effect, the importance of employee experience to overall business success is stronger than ever. In the simplest sense, the happiness and wellbeing of employees can make or break the organization. As a leader in the future of work Nexthink is thrilled to announce our partnership with Qualtrics.

StackState has always believed in the importance of open source and open standards, and we’ve demonstrated our commitment through ongoing support of open technologies. From the beginning, StackState supported StatsD and OpenMetrics. Even our agent is open source, designed to help organizations easily onboard our platform and to give them an extensible open way to observe their services. StackState is now proud to announce our next big open source step.

Enterprise data systems are like busy family households. You see a constant flow of activity to varying degrees from room to room. This activity includes people wandering, opening and closing doors. And then there are other streams constantly flowing through the household- electricity, water, Wi-Fi networks and more. In modern enterprises, the data deluge is a critical issue. While we take the complexity for granted in a household, such is not allowed in a connected enterprise.