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Data & Analytics · Case Study

On-Premises Jira to Azure Data Lake Gen2 Integration

A client needed Jira data from an on-premises environment landed in Azure Data Lake Gen2 for centralized reporting. MSPowerhouse built a secure ADF + Self-hosted Integration Runtime architecture, used Jira REST APIs with JQL and pagination, and resolved outbound ADLS connectivity issues so raw JSON could land cleanly.

Client
Confidential
Engagement
2024
Industry
Data & Analytics
Outcome
Hybrid On-prem to cloud pipeline
On-Premises Jira to Azure Data Lake Gen2 Integration

The challenge

  • Jira hosted on-premises with no public inbound access allowed.
  • Required custom extraction across issues, projects, users, comments, worklogs, boards, sprints, and custom fields.
  • Outbound HTTPS/TLS access from the SHIR to ADLS DFS/Blob endpoints was blocked.

Our approach

  • Stood up Azure Data Factory with a Self-hosted Integration Runtime as the secure on-prem bridge.
  • Built REST-based extraction with JQL filtering, pagination, and incremental patterns.
  • Landed raw JSON in ADLS Gen2 for traceability and downstream transformation.
  • Diagnosed and corrected outbound TLS/firewall access to ADLS endpoints.

Results

Secure
Outbound-only on-prem to cloud path
Raw JSON
Landed in ADLS Gen2
Repeatable
Pattern for future Jira objects

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