At ObservabilityCON in New York City today, we announced a new open source backend for continuous profiling data: Grafana Phlare. We are excited to share this horizontally scalable, highly available database with the open source community — along with a new flame graph panel for visualizing profiling data in Grafana — to help you use continuous profiling to understand your application performance and optimize your infrastructure spend.

This post is part 1 of a 3-part series about monitoring MongoDB performance with the WiredTiger storage engine. Part 2 explains the different ways to collect MongoDB metrics, and Part 3 details how to monitor its performance with Datadog. If you are using the MMAPv1 storage engine, visit the companion article “Monitoring MongoDB performance metrics (MMAP)”.

Netdata’s Cassandra collector documentation explains how to set it up to collect metrics automatically. Once you have followed the instructions in the docs and have installed and configured Netdata on the Cassandra cluster you are ready to start monitoring and troubleshooting.

The database market has seen a tremendous boost over the past years. Although database environments have become much more reliable and performant, there is still good reason to monitor dedicated IBM Db2 on-premise or cloud deployments. The NiCE DB2 Management Pack complements highly advanced availability and performance monitoring based on Microsoft System Center Operations Manager, freeing up valuable admin time while keeping crucial deployments safely up and running.

Database bloat is disk space that was used by a table or index and is available for reuse by the database but has not been reclaimed. Bloat is created when deleting or updating tables and indexes. Here's how to deal with it!

What are the important Cassandra metrics to monitor and how to monitor them.

Data collected by you is a valuable asset, however, mere collection or accumulation of data may not be enough to result in a positive and noticeable change within your firm. According to Forbes, besides collecting data it is critical to make intelligent and appropriate use of data. Data is not supposed to be a visible asset. As such data collection may not be up to the mark, particularly while manually handling the process.