Deploying AnzoGraph on Akash

AnzoGraph is a high-performance graph database designed for advanced analytics and querying of connected data. It supports SPARQL and various graph-based analytics, making it ideal for use cases in data integration, knowledge graphs, and semantic reasoning. With its scalability and in-memory processing, it is tailored for large-scale enterprise data workloads. By deploying AnzoGraph on Akash, you leverage decentralized, cost-effective cloud infrastructure for hosting.

Why Deploy on Akash?

• Cost Efficiency: Pay-as-you-go decentralized compute power.
• Scalability: Scale resources easily as your graph data and queries grow.
• Decentralization: Avoid vendor lock-in with a blockchain-based cloud platform.

Steps to Deploy AnzoGraph on Akash

1. Prerequisites

• Akash Wallet: Ensure you have an Akash wallet with sufficient $AKT tokens for deployment.
• Akash CLI: Install and configure the Akash CLI for interacting with the network.
• SDL Template: Prepare a manifest file to define your deployment requirements.
• Docker Image: Use the official Docker image cambridgesemantics/anzograph.

2. Create the SDL Manifest File

The SDL file describes the deployment configuration for Akash. Below is an example:

---
version: "2.0"

services:
  anzograph:
    image: cambridgesemantics/anzograph:latest
    expose:
      - port: 8080
        as: 80
        to:
          - global: true
      - port: 9000
        as: 9000
        to:
          - global: true
    env:
      - ANZOGRAPH_LICENSE_ACCEPTED=true  # Required to accept the AnzoGraph license
    resources:
      cpu:
        units: 1.0
      memory:
        size: 2Gi
      storage:
        size: 10Gi

profiles:
  compute:
    anzograph-profile:
      resources:
        cpu:
          units: 1.0
        memory:
          size: 2Gi
        storage:
          size: 10Gi

  placement:
    default:
      attributes:
        host: akash
      signedBy:
        anyOf:
          - akash
      pricing:
        anzograph-profile:
          denom: uakt
          amount: 100

deployment:
  anzograph-deployment:
    profiles:
      compute: anzograph-profile
      placement: default
    services:
      - anzograph

3. Steps to Deploy

1. Validate SDL File: Ensure the syntax is correct by running:

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

2. Upload the SDL File: Deploy the service using:

   akash deployment create deploy.yaml

3. Monitor Deployment: Track the deployment status:

   akash query deployment get --owner <your-address> --dseq <deployment-sequence>

4. Access AnzoGraph: Once the deployment is successful, you will be provided with the service endpoint. Access AnzoGraph’s admin interface or SPARQL endpoint via the exposed ports (default 80 and 9000).

Post-Deployment Configuration

1. Verify Installation:

   • Open your browser and navigate to http://<service-endpoint>.
   • Confirm the AnzoGraph interface is accessible.

2. Load Data:

   • Use the SPARQL endpoint to load your graph datasets.
   • Example:

     LOAD <http://example.com/my-dataset.ttl>

3. Run Queries:

   • Start running SPARQL queries to analyze your graph data.

4. Monitor Resources:

   • Regularly check resource usage (CPU, memory) through Akash or AnzoGraph’s interface.

Tips for Optimal Performance

• Scale Resources: Adjust the cpu, memory, and storage in the SDL manifest based on your workload.
• Persistent Storage: Use external storage solutions if you need persistent data across deployments.
• Networking: Secure access by setting up specific firewalls or access rules.

By deploying AnzoGraph on Akash, you combine the power of advanced graph analytics with a decentralized, cost-effective infrastructure.