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Version: 22.3

Self-Hosted Deployment

  • Kubernetes

    • Kubernetes Cluster Requirements

      This topic is a checklist with the prerequisites and system requirements for installing production Redpanda in a Kubernetes cluster using the Helm chart.

    • Kubernetes Production Deployment

      Redpanda offers two tools for deploying Redpanda clusters in Kubernetes:

      • Redpanda Helm chart (recommended)

      • Redpanda Operator (not recommended for new deployments)

        Redpanda recommends the Helm chart for all new deployments. As a result, the Kubernetes documentation in this section is for Helm chart deployments.

    • Best Practices

      This topic explains Redpanda's tips and recommendations for Kubernetes deployments.

    • Tune Worker Nodes

      To get the best performance from your hardware, set Redpanda to production mode on each worker node and run the auto-tuning tool. The auto-tuning tool identifies the hardware configuration on your worker node and optimizes the Linux kernel to give you the best performance.

    • Deploy Redpanda

      This topic describes how to use the Redpanda Helm chart to deploy a Redpanda cluster in Kubernetes.

  • Manual

    • Deploy for Production

      You can use rpm to setup a production cluster of Redpanda using our default deployment or writing a custom deployment script.

    • Automate Deployment for Production

      You can use automation tools in your environment such as Terraform and Ansible to deploy Redpanda for production.

    • Configure Node Properties

      When you install Redpanda, a redpanda.yaml file is installed on each node in /etc/redpanda. This file contains node configuration properties. A node property is one that can be set differently from node to node, such as data_directory or node_id (when specified).

    • High Availability

      Redpanda is designed to ensure data integrity and high availability (HA), even at high-throughput levels. This section explains the trade-offs with different configurations.

    • Sizing Use Cases

      The following scenarios provide estimates and advice for sizing Redpanda clusters for different throughput and retention use cases in your data center and in the cloud.

    • Sizing Guidelines

      For the best performance, size your Redpanda cluster to handle the volume of data being produced, replicated, and consumed.

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