With the release of InfluxDB 3.0, one of the big questions is: how does it compare to previous versions of InfluxDB? We have begun benchmarking InfluxDB 3.0 with production workloads to start giving users more insight into the benefits of adopting InfluxDB 3.0. In this post, we look at recent benchmarks comparing InfluxDB 3.0 to InfluxDB Open Source (OSS) 1.8.

When we launched the Checkly CLI and Test Sessions last May, I wrote about the three pillars of monitoring as code. Code — write your monitoring checks as code and store them in version control. Test — test your checks against our global infrastructure and record test sessions. Deploy — deploy your checks from your local machine or CI to run them as monitors.

This section outlines how to install and set up Hosted Graphite independently. MetricFire's product, Hosted Graphite, runs Graphite for you so you can have the reliability and ease-of-use that is hard to get while doing it in-house.

In Part 1 of this series, we introduced you to the key metrics you should be monitoring to ensure that you get optimal performance from CoreDNS running in your Kubernetes clusters. In Part 2, we showed you some tools you can use to monitor CoreDNS. In this post, we’ll show you how you can use Datadog to monitor metrics, logs, and traces from CoreDNS alongside telemetry from the rest of your cluster, including the infrastructure it runs on.

In Part 1 of this series, we looked at key metrics you should monitor to understand the performance of your CoreDNS servers. In this post, we’ll show you how to collect and visualize these metrics. We’ll also explore how CoreDNS logging works and show you how to collect CoreDNS logs to get even deeper visibility into your Deployment.