Operations | Monitoring | ITSM | DevOps | Cloud

Importance of System Resource Monitoring on Graylog, Elasticsearch, and MongoDB Servers

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.

Community Highlight: How Supralog Built an Online Incremental Machine Learning Pipeline with InfluxDB OSS for Capacity Planning

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.

Kibana platform migration: Lessons in large scale cross-team collaboration

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.

Trial by Fire: Making the Mobile Workforce Work

More people than ever are working remotely, and about one-third say the coronavirus pandemic was their first chance to do so. As companies return to a new normal, they are considering how to manage workers who are not in the office, and mobile workers add a unique challenge. The term “remote worker” includes work-from-home employees and mobile workers. Most employees who work remotely do both.

Elasticsearch Performance Tuning - Index Design

You’ve created the perfect design for your indices and they are happily churning along. However, in the future, you may need to reconsider your initial design. Maybe you want to improve performance, change sharding settings, adjust for growth. Whatever the reason, Elasticsearch is flexible and allows you to change index settings to improve your Elasticsearch Performance Tuning. Let’s see how to do that!