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Announcing Custom Integrations: your engineering data, your way
Announcing Custom Integrations: your engineering data, your way
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Demo

Demo: Build and customize OpsLevel integrations

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Announcement
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Demo: Build and customize OpsLevel integrations
Megan Dorcey
|
August 6, 2025

In this 30-minute technical deep-dive, OpsLevel’s Solutions Architect, Toms Zacharia, demonstrate how to extend and customize your service catalog with the brand-new Custom Integrations feature—powered by two simple, YAML-driven stages:

  1. Extract
    • Webhook Push or HTTP Polling (with authentication, pagination, retries)
    • Define exactly which JSON records to pull from Jira, Datadog, SonarQube, or any API
    • Filter out unwanted data (e.g. automatically exclude “Done” Jira issues)
  2. Transform
    • Map external fields into your catalog’s Custom Properties and Component Types
    • Govern on-miss behavior per integration: skip, create, or suggest new entities
    • Establish relationships (e.g. link Jira tickets to services and teams) and audit every change

Key Highlights:

  • Live build of a Jira integration: creating component types on the fly, mapping ticket fields, and establishing service/team relationships
  • Demo of daily polling for a vulnerability scanner (critical/high counts) and real-time push for CI build status
  • Hands-on Q&A covering extract filters, polling cadence, HMAC auth, JSON object mapping, and more
  • End-to-end test run: inspect raw payloads, preview mapped components, and view downstream scorecards, filters, and IDE context

What is a Custom Integration in OpsLevel?

‍
Custom Integrations with Data Mapping gives you complete control over how external data flows into your engineering catalog—no more rigid, pre-built connectors or weeks of custom code.

  • Create any integration: pull in JIRA issues, proprietary internal tools, or any API beyond our 50+ native connectors.
  • Enrich what you already have: extend built-in integrations (Datadog, GitHub, SonarQube) with the exact metadata you need.
  • Model your world: define new component types, relationships, and custom properties—all via YAML.
  • Two-stage, config-driven approach:
    1. Extract—configure webhooks or HTTP polling (auth, pagination, filters)
    2. Transform—map fields into OpsLevel properties, create types/relations, and govern on-miss behavior

Read the full announcement and see examples.

‍

More resources

Demo: The OpsLevel MCP
Demo
Demo: The OpsLevel MCP

Bring more context into the developer workflow with the OpsLevel MCP.

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Actions Demo: Automate Developer Tasks in OpsLevel
Demo
Actions Demo: Automate Developer Tasks in OpsLevel

We'll show you how to automate common tasks like creating a Jira ticket from within OpsLevel with our Actions feature.

Read more
Demo: Software Catalog Customization
Demo
Demo: Software Catalog Customization

Customize how you map your software data in OpsLevel with Catalog Customization.

Read more
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