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Kubernetes is a popular way to deploy and manage containers across multiple servers and cloud providers.
This page is about using Kubernetes with the TICK stack and 1.x versions of InfluxDB. To install InfluxDB 2.x and Kubernetes, see the Kubernetes tab in Install InfluxDB v2.
Use InfluxData platform and Kubernetes to do the following:
- Monitor Kubernetes
- Deploy the TICK stack in Kubernetes
- Frequently asked questions
Use the TICK stack to monitor services that make up a Kubernetes cluster, whether you’re running InfluxDB in a Kubernetes cluster or somewhere else. Do the following to monitor Kubernetes:
- Use the kube-influxdb project
- Collect Kubernetes metrics with Telegraf
- ### Use the Prometheus remote read and write API
Use the kube-influxdb project
The kube-influxdb project is a set of Helm charts to make collection and visualization of Kubernetes metrics easy. It uses Telegraf, the metrics collection agent, to collect metrics and events and includes a set of pre-configured Chronograf dashboards.
See the kube-influxdb Getting Started guide.
Collect Kubernetes metrics with Telegraf
Use Telegraf to collect metrics in a Kubernetes cluster, including Docker container metrics and stats from kubelets. Or use Telegraf to scrape Prometheus metrics API endpoints. Telegraf is used in the kube-influxdb project to collect metrics.
Use the Prometheus remote read and write API
Use the Prometheus remote read and write API for clusters already using Prometheus for metrics collection. For more information, see Prometheus remote read and write API support in InfluxDB.
Deploy the TICK stack in Kubernetes
To install and configure the open source TICK stack–Telegraf, InfluxDB, Chronograf, and Kapacitor–in Kubernetes, do one of the following:
Use Helm charts
InfluxData maintains Helm charts for setting up data collection and monitoring in Kubernetes using InfluxDB and related applications.
Use K8s operator
The InfluxData operator is a Kubernetes operator. Use the InfluxData operator to deploy InfluxDB in Kubernetes and handle operational tasks automatically, like creating a backup. The operator has been tested on AWS’s Elastic Kubernetes Service and GCP’s Google Kubernetes Engine.
Use solutions for Kubernetes services
InfluxData maintains ways to deploy the InfluxData Platform components to popular Kubernetes service providers.
Frequently asked questions
How is the InfluxData platform (TICK) different from Prometheus?
InfluxDB is specifically built to handle time series data. InfluxDB handles string data types and event data that occurs in irregular intervals, including structured logs, application events, and tracing data.
How should I run InfluxDB in Kubernetes?
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Support and feedback
Thank you for being part of our community! We welcome and encourage your feedback and bug reports for and this documentation. To find support, use the following resources:
Customers with an annual or support contract can contact InfluxData Support.