Level Up Your Time Series Game

Learn how to use InfluxDB for your Kubernetes metrics. Pull customer or legacy metrics by easily scraping them with the Telegraf Operator. Check out our resources below to learn more about the many ways to use InfluxDB with Kubernetes and join us in-person and virtually to ask questions and get demos.

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  • TECHNICAL PAPER

Monitor full-stack Kubernetes metrics at scale with InfluxDB.

  • TEMPLATE

Use this InfluxDB Template for Kubernetes Node Metrics and Inventory

  • BLOG

Learn how to deploy InfluxDB inside a K8s cluster and use the Python client to send data to InfluxDB.

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    INTEGRATION

The Kubernetes Input Plugin gathers metrics about the running pods and containers for a single host.

Video

Since the rise of K8s, GitOps workflows have become the standard for teams to manage the state of large systems.

  • CASE STUDY

InfluxData doubles down on developer and customer happiness with Kubernetes deployment model.

  • BLOG

Learn how to monitor custom application and Kubernetes metrics with Telegraf.

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    INTEGRATION

Collect kube state metrics (nodes, namespaces, deployments, replica sets, pods etc.).

Video

Learn the core concepts for the leading container orchestrator.

  • TEMPLATE

This InfluxDB template can be used to monitor your Nginx Controller setup inside your Kubernetes cluster.

  • WEBINAR

Discover three ways for your team to collaborate around time series data.

  • BLOG

Learn how to deploy the kube-metrics-adapter to your cluster to control the scaling of your resources.

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    INTEGRATION

Telegraf has input and output plugins for Prometheus. Learn how to access and use them to optimize your monitoring.

  • BLOG

Telegraf includes a Prometheus remote write parser to ingest metrics and output them to InfluxDB 1.x or InfluxDB 2.0.

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