Operations | Monitoring | ITSM | DevOps | Cloud

Google Kubernetes Engine (GKE) is a managed Kubernetes service that enables users to deploy and orchestrate containerized applications on Google’s infrastructure. Datadog’s GKE integration, when paired with our Kubernetes integration, has always provided deep visibility into the health and performance of your clusters at the node, pod, container, and application levels.

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)”.

For many organizations, making the most of the visibility Datadog offers into the health and performance of their infrastructure means displaying dashboards to stakeholders in various settings continuously and in real time. But the standard solutions for sharing dashboards to large-format displays can be onerous, involving sundry software and hardware and restrictive manual setups. These solutions can also pose significant security risks, since they tend to involve sharing passwords or devices.

Cloud-native infrastructure has become the standard for deploying applications that are performant and readily available to a globally distributed user base. While this has enabled organizations to quickly adapt to the demands of modern app users, the rapid nature of this migration has also made cloud resources a primary target for security threats.