Guide to Deploy Apache Druid on Akash Network

Apache Druid is a real-time analytics database designed for fast aggregation and exploration of large datasets. It is particularly suited for time-series data, enabling low-latency queries on high-ingest rates. Druid is widely used for applications like operational analytics, business intelligence dashboards, and interactive data exploration.

Key Features:

• Real-time ingestion: Allows for streaming and batch data ingestion.
• Columnar storage: Optimized for analytical queries, offering high-speed data retrieval.
• Scalability: Built for horizontal scaling to handle petabyte-scale data.
• High availability: Provides redundancy and fault-tolerance with replication.
• Flexible query models: Supports SQL-like queries and Druid native queries.

Why Deploy Apache Druid on Akash?

Akash Network is a decentralized cloud marketplace that allows users to deploy workloads at a fraction of the cost of traditional cloud providers. By deploying Apache Druid on Akash, you benefit from:

1. Cost efficiency: Lower operational costs for hosting large-scale infrastructure.
2. Decentralization: Increased control and reduced dependency on centralized cloud providers.
3. Scalability: Easily scale your cluster up or down based on requirements.
4. Open-source synergy: Both Druid and Akash are open-source, promoting flexibility and innovation.

Step-by-Step Guide to Deploy Apache Druid on Akash

1. Prerequisites

1. Akash CLI and Wallet Setup:

   • Install the Akash CLI by following the official documentation.
   • Fund your Akash wallet with sufficient AKT tokens.

2. Druid Docker Image:

   • Druid is available as a container image. You can use the official image from DockerHub: apache/druid.

3. Akash SDL Template:

   • Prepare an SDL (Stack Definition Language) file to define your deployment specifications.

2. Prepare Your Deployment Files

Sample SDL File for Druid Deployment

Below is an example SDL file to deploy a basic Druid cluster with a single node:

version: "2.0"

services:
  druid:
    image: apache/druid:latest
    env:
      - DRUID_NODE_TYPE=coordinator-overlord
      - JAVA_OPTS=-Xmx4g -Xms4g
    expose:
      - port: 8081
        as: 80
        to:
          - global: true

profiles:
  compute:
    druid:
      resources:
        cpu:
          units: 1
        memory:
          size: 4Gi
        storage:
          size: 10Gi
  placement:
    westcoast:
      attributes:
        region: us-west
      signedBy:
        anyOf:
          - akash1...

deployment:
  druid:
    westcoast:
      profile:
        compute: druid
        placement: westcoast
      count: 1

3. Configure and Deploy

1. Customize the SDL File:

   • Adjust resource requirements (CPU, memory, and storage) based on your workload.
   • Specify the region or provider attributes.

2. Validate the SDL File:

   akash tx deployment create deploy.yaml --from <wallet-name>

3. Send Your Deployment to Akash: After successful validation, use the following commands to interact with the Akash marketplace:

   akash tx deployment create deploy.yaml --from <wallet-name>

4. Approve Lease: Once bids are received, select the appropriate provider and approve the lease:

   akash tx market lease create --dseq <deployment-sequence> --from <wallet-name>

4. Verify and Monitor

1. Access Druid UI:

   • Open your browser and navigate to the provider’s IP address or domain with port 8081.

2. Monitor Logs:

   • Use the Akash CLI to check logs:

     akash provider lease logs --dseq <deployment-sequence> --from <wallet-name>

5. Scale and Manage

• To scale your deployment, update the count field in the SDL file for the deployment section.
• Redeploy the updated SDL file with:

  akash tx deployment update deploy.yaml --from <wallet-name>

Best Practices for Deploying Apache Druid on Akash

1. Use Persistent Storage:

   • Configure volume mounts for data durability across container restarts.

2. Clustered Deployment:

   • For production workloads, deploy Druid in a clustered setup with multiple node types (e.g., broker, historical, and middle manager).

3. Secure Your Deployment:

   • Set up firewalls and secure ingress rules to restrict access to your Druid instance.

4. Monitor Costs:

   • Regularly review your usage to optimize resources and minimize costs.

Deploying Apache Druid on Akash provides a scalable and cost-efficient solution for analytics workloads. Customize the deployment as per your requirements and leverage the decentralized power of Akash to reduce dependency on traditional cloud providers.