Use a Purpose-Built Time Series Database for Metrics, Logs, Events, and Traces.
We had a blast at KubeCon 2023.
Check out our resources below to learn more about the many ways to use InfluxDB with Kubernetes.
Resources
InfluxDB for Observability
Details on what makes InfluxDB different from other purpose-built solutions and a dive into the horizontal use cases that time series data has empowered developers to build. Read Paper
How to Monitor Kubernetes K3s Using Telegraf and InfluxDB Cloud
Learn how a Helm chart can simplify our lives and enable us to see what is happening with our K3s cluster. Learn More
How to Use InfluxDB with Its Python Client on Kubernetes
Learn how to deploy InfluxDB inside a K8s cluster and use the Python client to send data to InfluxDB. Read Blog
Kubernetes Input Plugin
The Kubernetes Input Plugin gathers metrics about the running pods and containers for a single host. Learn More
Building a GitOps Workflow with InfluxDB
Since the rise of K8s, GitOps workflows have become the standard for teams to manage the state of large systems. Watch Now
How InfluxData Innovates with Kubernetes
InfluxData doubles down on developer and customer happiness with Kubernetes deployment model. Read Case Study
Expand Kubernetes Monitoring with Telegraf Operator
Learn how to monitor custom application and Kubernetes metrics with Telegraf. Read Blog
Telegraf Kubernetes Inventory plugin
Collect kube state metrics (nodes, namespaces, deployments, replica sets, pods etc.). Learn More
Kubernetes on the Edge
Getting Started with KubeEdge and Kubernetes for Edge Computing. Learn More
Prometheus Remote Write Support
Telegraf includes a Prometheus remote write parser to ingest metrics and output them to InfluxDB 1.x or InfluxDB 2.0. Learn More
Prometheus Telegraf Plugin
Telegraf has input and output plugins for Prometheus. Learn how to access and use them to optimize your monitoring. Learn More
Kubernetes Monitoring Tech paper
Monitor full-stack Kubernetes metrics at scale with InfluxDB. Read Paper
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