June was the month where many of us stretched our legs, glad to be out of quarantine — and then immediately went back inside due to fears of a second wave. “One step forward, one step back,” offers an adequate summary of life in a pandemic. It’s also a sentiment that applies to the ongoing challenge in mitigating glitches and outages.
Every Puppet practitioner can appreciate the wealth of information stored inside PuppetDB. Although Puppet Enterprise console offers some insights into the data, we sometimes need rich dashboards, possibilities to correlate data about facts, nodes and reports and drill-down features. In short, we wish there were a way to unleash the full power of PuppetDB data to create situational awareness about our estate. This article will show that PowerBI is a very powerful companion to PuppetDB.
The first thing we tell Graylog users is, “Monitor your disk space.” The core set of metrics discussed below should always be in acceptable parameters and never grow over extended periods without going back to normal levels. This is why it is critical to monitor metrics that come directly from the hosts running your Graylog infrastructure.
This article was written by Gregory Scafarto, Data Scientist intern at Supralog, in collaboration with InfluxData’s DevRel Anais Dotis-Georgiou. At InfluxData, we pride ourselves on our awesome InfluxDB Community. We’re grateful for all of your contributions and feedback. Whether it’s Telegraf plugins, community templates, awesome InfluxDB projects, or Third Party Flux Packages, your contributions continue to both impress and humble us.
We’re pleased to introduce you to the latest Elastic Cloud features and functionality. Grab a cup of your favorite beverage and five minutes, and let’s dive in.
When Kibana 4.0 was created back in 2015, it only had three apps: Dashboard, Visualize, and Discover. Fast forward five years, Kibana now consists of 100+ plugins, millions of lines of code, thousands of dependencies, and dozens of frameworks. The architecture of Kibana that worked well with three apps had become a bottleneck that was hindering Kibana’s stability, scalability, performance, and development velocity.
