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A Pipeline in Condense is the visual and functional representation of data flow between deployed connectors, transforms, and utilities inside a workspace. It is automatically materialized when a connector or transform is deployed. No manual creation needed.
Before you begin, make sure you have:
  • A workspace created and configured
  • At least one environment linked to the workspace
  • Workspace Admin or Maintainer role

What You’ll Build

By the end of this guide, you will have a live pipeline ingesting data from a source, processing it through a transform, and delivering it to a destination, all inside your Condense workspace.

Step 1 - Deploy an Input Connector

An Input Connector receives data from an external system and injects it into your pipeline.
  1. Navigate to your Workspace → click Connectors in the left sidebar
  2. Click + Add Connector
  3. Select Input as the connector role
  4. Choose your connector type (e.g. Kafka, HTTP, Teltonika, Pub/Sub)
  5. Fill in the required configuration fields:
    • Title - a unique name for this connector
    • Output Topic - the Kafka topic this connector will publish data to
    • Environment Variables - credentials, endpoints, or protocol settings
  6. Click Deploy
Once deployed, your Input Connector will appear as a block on the Pipeline canvas and begin publishing data to the configured output topic.

Step 2 - Add a Transform

A Transform processes messages as they flow between your Input and Output connectors.

Option A - Prebuilt Transform

  1. On the Pipeline canvas, click + Add Transform
  2. Select Prebuilt
  3. Choose a transform type:
    • Geofence - location-based event triggering
    • Alert Utility - trigger alerts when a condition is met
    • Split Utility - route messages based on rules
  4. Configure the required parameters:
    • Input Topic - must match the Output Topic from your Input Connector
    • Output Topic - the topic the transform will publish results to
  5. Click Deploy

Option B - Custom Transform

  1. Go to Applications → create or select an existing application
  2. Build, test, and publish the application
  3. Back on the Pipeline canvas, click + Add Transform → Custom
  4. Select your published application and version
  5. Configure input/output topics and environment variables
  6. Click Deploy

Step 3 - Deploy an Output Connector

An Output Connector takes the processed data and delivers it to an external destination.
  1. Navigate to Connectors → click + Add Connector
  2. Select Output as the connector role
  3. Choose your connector type (e.g. PostgreSQL, Big Query, S3, Kafka)
  4. Fill in the required configuration fields:
    • Title - a unique name for this connector
    • Input Topic - must match the Output Topic from your Transform
    • Environment Variables - destination credentials and settings
  5. Click Deploy
Condense automatically draws a connecting line between blocks that share matching topics. Your pipeline is now live.

Step 4 - View Your Pipeline

Click Pipeline in the left sidebar. You will see all deployed blocks connected by lines:
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Pipeline Canvas Showing Connected Blocks

Clicking any block opens its Component Detail Panel showing the connector name, category, type, status, and Kafka topic information:
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Node Details Panel

Pipelines are automatically materialized. They appear automatically as soon as connectors and transforms are deployed. You do not manually create a pipeline.

Step 5 - Monitor Your Pipeline

Real-Time Metrics

Each block displays live CPU and memory utilization:
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Real-Time Resource Utilization Metrics

Colour-coded status indicators let you instantly identify Running, Stopped, or Error states:
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Colour-Coded Pipeline Status Indicators

Logs and Debugging

Access detailed real-time logs for each block with customizable streaming intervals (5 seconds by default):
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Logs and Debugging Panel

Editing Your Pipeline

If you need to fix a misconfiguration after deployment, use Edit Configurations:
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Edit Configurations Panel

  1. Click the block you want to edit on the Pipeline canvas
  2. Click Edit Configuration
  3. Update the required fields
  4. Click Save Changes
Fields with a lock icon cannot be edited after deployment. To change locked fields, delete and redeploy the component.

Roles and Permissions


Best Practices

✓ Use clear topic naming to make the pipeline canvas self-explanatory ✓ Group related connectors and transforms logically to simplify understanding ✓ Avoid unused topic links to reduce visual clutter ✓ Regularly check component logs to catch issues early ✓ Document the pipeline purpose in the workspace description

Common Pitfalls

  • Misaligned Topic Names - Double-check that Output Topic of one block exactly matches the Input Topic of the next block
  • Unused Components Left Running - Remove or disable unused connectors to prevent unnecessary resource usage
  • Overcrowded Canvas - Use multiple workspaces when a single pipeline becomes too dense