Operations | Monitoring | ITSM | DevOps | Cloud

A large U.S.-based insurance provider was experiencing rising database software licensing costs. In order to reduce the software licensing costs, the organization needed to complete a comprehensive infrastructure analysis of over 200 physical servers. 75 percent of these physical servers supported one software application, their database solution. Additionally, the software routinely only utilized between two and four cores, despite having 24 cores on each server.

The MQTT Consumer Plugin is one of our most widely used input plugins for Telegraf. If you need a little bit of background, then I highly recommend checking out the following: I plan to release an MQTT best practices blog soon, but we thought this plugin partnership was too good not to talk about now.

Digital-first businesses are striving for service assurance, which has become the lifeblood for their businesses processes. But they are increasingly getting complex across legacy and cloud-native applications, multi-cloud distributed services, with the rise of edge and when leveraged with Kubernetes and microservices architectures. Service assurance needs full-stack observability; however, customers need an approach to tame the data deluge while enabling actionable insights.

To err is human. The process of software development can’t be error-free; fixing errors is part and parcel of building software applications. And, no matter how much you dislike those harsh error messages when your code fails and exits, you have to admit that they save you from a lot worse.

IT experts and techies are constantly devising new ways to do more with less in our rapidly evolving world. Traditional platforms monitoring and modern technological maintenance take a large portion of a conventional organization’s IT budget. This leaves limited resources to develop new standards-based and adaptive applications that fulfill core business demands.

Grafana 9 launched at GrafanaCONline 2022 in June, and one of the biggest highlights was the introduction of the new Grafana Loki and Prometheus query builders. 🎉 We believe that both of them are going to be incredibly useful for our Prometheus and Grafana Loki users. In this blog post, we will focus on the Grafana Loki query builder and share its new features and improvements with you.

When developing the new exception landing pages we recently launched (like insert exception link here), I wanted to pull some statistics from Reddit. While looking through various ways to integrate, I found an easy approach that I want to share with you in this post. You probably already know Reddit, the highly active social news aggregation and discussion forum. I've found myself using Reddit more and more over the last couple of years, with the dotnet subreddit in particular.

Have you struggled to quantify the uptime performance of a complex system? With many interrelated parts, it can be easy to tell which pieces are down, but a tougher challenge to view them in the context of those systems. When you’re responding to a major outage, the data on your system’s uptime is just as critical as its components.