Building Your First Automated Workflow

Learn how to create, configure, and deploy your first end-to-end automated workflow using Admin's visual builder and API. This guide walks you through triggers, actions, conditional logic, and best practices for scalable automation.

Workflow automation eliminates repetitive manual tasks, reduces human error, and accelerates your team's productivity. With Admin, you can chain triggers, conditions, and actions into reliable pipelines that run securely in the cloud.

💡

Prerequisites: You'll need an Admin account with at least the Developer role. Basic familiarity with JSON and event-driven architecture is recommended.

Step 1: Define Your Trigger

Every workflow starts with a trigger—an event that initiates the pipeline. Admin supports webhooks, scheduled cron jobs, API calls, and native platform events.

Interactive Trigger Selector

🔔 New Order Created
⏰ Cron Schedule

Click a node to toggle selection. Triggers define when your workflow activates.

Select Webhook if you're integrating with third-party tools, or choose Platform Event for native Admin objects like user signups, payment completions, or status changes.

Step 2: Add Actions & Conditions

Once triggered, your workflow executes a sequence of actions. You can add conditional branches to handle different data states.

const workflow = { "trigger": "event:order.created", "actions": [ { "type": "http_request", "url": "https://api.yourservice.com/notify", "method": "POST" }, { "type": "condition", "if": "{{ payload.total }} > 100", "then": "add_tag:premium_customer" } ] };
⚠️

Rate Limits & Retries: External HTTP actions respect your target's rate limits. Admin automatically retries failed requests up to 3 times with exponential backoff. Always log failures for audit trails.

Step 3: Test & Deploy

Before going live, validate your workflow using Admin's sandbox mode. The test runner simulates payloads and shows step-by-step execution results.

  1. Open the Workflow Editor and click Run Simulation
  2. Upload a sample payload JSON or use a built-in template
  3. Review the execution trace, checking for timeouts or malformed responses
  4. Toggle Deploy to Production when validation passes

Deployments are zero-downtime. Previous versions remain accessible for rollback if needed.

Step 4: Monitor & Optimize

Live workflows generate execution metrics automatically. Track success rates, average latency, and failure codes from the Admin dashboard.

  • Set up alerts for consecutive failures (>5)
  • Use the analytics.execution_logs API for programmatic monitoring
  • Refine conditions based on real-world payload distributions
  • Cache repetitive lookups using Admin's built-in KV store

Pro Tips

1
Keep Workflows Stateless

Design each step to process data independently. Store shared state in external databases or Admin's secure vaults rather than memory variables.

2
Use Idempotency Keys

For financial or critical operations, include idempotency headers to prevent duplicate processing during retries.

3
Version Your Configs

Commit workflow definitions to Git. Admin supports GitOps deployment for seamless CI/CD integration.