Does this tool connect to my OCI account?

No. This tool runs entirely in your browser and generates configuration JSON that you can copy and paste into your infrastructure-as-code templates, CLI commands, or cloud console. It never connects to any cloud account or sends data externally.

Are the generated configurations production-ready?

The tool produces syntactically valid configurations based on current OCI service specifications. Always review generated configs against your organization security policies and test in a non-production environment before deploying.

OCI Data Science Pipeline Builder

ComputeOCI

Build Data Science pipeline step configurations with job dependencies and infrastructure settings.

OCI Data Science Configuration

Build Data Science pipeline step configurations with job dependencies, infrastructure, and environment settings.

Required Fields

compartmentIdprojectIddisplayNamepipelineSteps

{
  "compartmentId": "ocid1.compartment.oc1..aaaaaaaexample",
  "projectId": "ocid1.datascienceproject.oc1.iad.aaaaaaaexample",
  "displayName": "ml-training-pipeline",
  "description": "End-to-end ML training pipeline with preprocessing, training, and evaluation",
  "pipelineSteps": [
    {
      "stepName": "data-preprocessing",
      "stepType": "ML_JOB",
      "description": "Clean and transform raw data",
      "jobId": "ocid1.datasciencejob.oc1.iad.aaaaaaaexample-preprocess",
      "stepConfigurationDetails": {
        "environmentVariables": {
          "INPUT_BUCKET": "raw-data",
          "OUTPUT_BUCKET": "processed-data",
          "SAMPLE_RATE": "1.0"
        },
        "commandLineArguments": "--format parquet --partition-by date",
        "maximumRuntimeInMinutes": 120
      },
      "stepInfrastructureConfigurationDetails": {
        "shapeName": "VM.Standard.E4.Flex",
        "shapeConfigDetails": {
          "ocpus": 8,
          "memoryInGBs": 128
        },
        "blockStorageSizeInGBs": 200,
        "subnetId": "ocid1.subnet.oc1.iad.aaaaaaaexample"
      }
    },
    {
      "stepName": "model-training",
      "stepType": "ML_JOB",
      "description": "Train the ML model with processed data",
      "jobId": "ocid1.datasciencejob.oc1.iad.aaaaaaaexample-train",
      "dependsOn": ["data-preprocessing"],
      "stepConfigurationDetails": {
        "environmentVariables": {
          "MODEL_TYPE": "xgboost",
          "EPOCHS": "100",
          "LEARNING_RATE": "0.01"
        },
        "maximumRuntimeInMinutes": 360
      },
      "stepInfrastructureConfigurationDetails": {
        "shapeName": "VM.GPU3.1",
        "blockStorageSizeInGBs": 500,
        "subnetId": "ocid1.subnet.oc1.iad.aaaaaaaexample"
      }
    },
    {
      "stepName": "model-evaluation",
      "stepType": "ML_JOB",
      "description": "Evaluate model metrics and register if passing threshold",
      "jobId": "ocid1.datasciencejob.oc1.iad.aaaaaaaexample-eval",
      "dependsOn": ["model-training"],
      "stepConfigurationDetails": {
        "environmentVariables": {
          "MIN_ACCURACY": "0.85",
          "REGISTER_MODEL": "true"
        },
        "maximumRuntimeInMinutes": 30
      },
      "stepInfrastructureConfigurationDetails": {
        "shapeName": "VM.Standard.E4.Flex",
        "shapeConfigDetails": {
          "ocpus": 4,
          "memoryInGBs": 64
        },
        "blockStorageSizeInGBs": 100
      }
    }
  ],
  "logConfiguration": {
    "logGroupId": "ocid1.loggroup.oc1.iad.aaaaaaaexample",
    "logId": "ocid1.log.oc1.iad.aaaaaaaexample"
  },
  "freeformTags": {
    "project": "ml-platform",
    "team": "data-science"
  }
}

Generated Output

Output will appear here...

About This Tool

Build Data Science pipeline step configurations with job dependencies and infrastructure settings. This tool helps OCI engineers generate valid configurations quickly without consulting documentation, reducing errors and accelerating infrastructure deployment. All processing runs in your browser with no data sent to external servers.

When to Use This Tool

•Generating oci data science pipeline configurations for new infrastructure deployments.
•Validating existing configurations against best practices before applying changes.
•Learning OCI service configuration patterns through interactive examples.
•Accelerating infrastructure-as-code development by producing correct JSON/YAML starting points.

Frequently Asked Questions

Does this tool connect to my OCI account?: No. This tool runs entirely in your browser and generates configuration JSON that you can copy and paste into your infrastructure-as-code templates, CLI commands, or cloud console. It never connects to any cloud account or sends data externally.
Are the generated configurations production-ready?: The tool produces syntactically valid configurations based on current OCI service specifications. Always review generated configs against your organization security policies and test in a non-production environment before deploying.

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Disclaimer: This tool runs entirely in your browser. No data is sent to our servers. Always verify outputs before using them in production. AWS, Azure, and GCP are trademarks of their respective owners.