KNIME

To deploy KNIME (an open-source data analytics platform) on Akash, we’ll guide you through the steps to create a deploy.yaml file, leveraging Akash’s SDL template structure. This file will specify the configuration for deploying KNIME as a Docker container on Akash’s decentralized cloud infrastructure.

Prerequisites

Akash Wallet: Ensure you have an Akash wallet and sufficient tokens for deployment.
Akash CLI: Install and configure the Akash CLI.
Dockerized KNIME Image: You’ll need a Docker image of KNIME. You can either build your own or use a pre-built image from Docker Hub.

Step 1: Define the deploy.yaml file Structure

Akash SDL (Service Definition Language) files are structured YAML files used to specify resources and configurations for your deployment. Below is a sample deploy.yaml file that includes a configuration to deploy KNIME on Akash.

`deploy.yaml` File

Here’s a structured deploy.yaml file for deploying KNIME on Akash:

---
version: "2.0"

services:
  knime:
    image: "knime/knime"  # Docker image for KNIME
    expose:
      - port: 8080
        as: 80
        to:
          - global: true   # Allow global access to KNIME UI
        proto: tcp

profiles:
  compute:
    knime-server:
      resources:
        cpu:
          units: 1      # Adjust CPU units as needed
        memory:
          size: 2Gi     # Allocate at least 2GB of memory for KNIME
        storage:
          size: 5Gi     # Allocate storage space
  placement:
    west-coast:
      attributes:
        host: akash       # Provider attribute
      pricing:
        knime-server:
          denom: uakt
          amount: 100     # Specify the bid price per block

deployment:
  knime:
    west-coast:
      profile: knime-server
      count: 1

Step 2: Configure Each Section

Services Section:

Define the knime service and specify the Docker image for KNIME.
Set up port 8080 (or the port KNIME uses) to be exposed globally so it’s accessible via a web interface.

Profiles Section:

The compute profile outlines the hardware resources.
- CPU Units: Define the number of CPU units.
- Memory Size: Allocate memory (at least 2Gi for KNIME).
- Storage Size: Set storage size based on data needs.
The placement profile allows you to specify the deployment region and pricing details.

Deployment Section:

Here, you reference the profiles and regions you defined.
Set the profile (knime) and the count (1 instance for this example).

Step 3: Deploy on Akash

Create the Deployment:

Use the Akash CLI to submit your deployment:

provider-services tx deployment create deploy.yaml --from <wallet_name> --node <node>

Set Up Lease:

Once deployed, create a lease with the provider to make your service accessible:

provider-services tx deployment lease create <deployment-id> --from <wallet_name> --node <node>

Access KNIME:

After successful deployment, retrieve the lease’s public IP and navigate to :80 to access the KNIME interface.

Notes and Tips

Pricing: Set the amount for uakt tokens based on network costs.
Memory & Storage: Adjust resource allocations depending on the complexity of workflows in KNIME.
Monitoring: Monitor deployment status using the Akash CLI to ensure successful setup and to check resource usage.