Expand Monitoring with InfluxDB
Gain real-time visibility into your entire container-based environment to unify all your metrics and events for faster root cause analysis.
Why InfluxDB for monitoring?
Most production environments don’t have a singular approach when it comes to application monitoring. InfluxDB can monitor private and public cloud infrastructures (e.g., PaaS, SaaS, website) and provide deployment variances for scalability, as well as custom instrumentations for uniqueness and cross-measurement analytics advanced alerting. InfluxDB is great for gaining visibility across complicated systems. You can scrape custom application and legacy system metrics in addition to your Kubernetes metrics with Telegraf operator, without having to write custom code to do it.
Check out these resources to learn more about InfluxDB and container monitoring.
Learn how to deploy InfluxDB inside a K8s cluster and use the Python client to send data to InfluxDB.
Learn how to monitor custom application and Kubernetes metrics with Telegraf.
Discover three ways for your team to collaborate around time series data.
Learn how to deploy the kube-metrics-adapter to your cluster to control the scaling of your resources.