Enterprise integration

Jira Integration for Delivery Data

Tell us which Jira projects and fields matter, where the data needs to land and how often it should update. We build around those requirements and manage the integration after launch.

Discuss a Jira integration View all services

Your systems

NetSuite

Salesforce

Jira

Source Connectors

Dedicated integration

Built around your systems.

We build, monitor and update it.

Your AWS account

Your S3 bucket

You own the data and control access.

What we build

Make sense of your Jira data

The exact design depends on source-system permissions, data volume, freshness, existing controls and the people who will operate it.

Project and issue extraction

Retrieve the projects, issue types, histories and fields you need, using the right permissions and handling every page of results.

Custom-field mapping

Map field IDs, names, contexts and values, so renamed fields or repeated labels don’t break your reports.

Incremental synchronisation

Use ordered search windows, checkpoints and overlap where required to collect updates consistently.

Timely updates with webhooks

Use supported webhooks where quicker updates help, alongside data checks and a way to recover anything missed.

Useful history for reporting

Keep current issue details separate from status changes and snapshots when you need to report on cycle times or service history.

Keep up with configuration changes

Identify changes to fields, contexts and workflows so your data models and reports can be updated with them.

Managed service

Built for you, managed by us

Source Connectors owns and operates the custom integration code and its dedicated AWS stack. You keep ownership and control of the source data and the destination in your AWS account.

Pricing combines the processing the integration uses with an ongoing management fee. We agree the scope and expected usage before the service goes live.

See how your data is handled →

Reference flow

Follow your data from source to destination

See how data is extracted, checked and delivered, with monitoring and recovery at each stage.

01Source systemsNetSuite, Salesforce, Jira and APIs

02Managed integrationDedicated customer stack

03Your AWS accountCustomer-owned S3 destination

04Your teams and toolsAnalytics and operations

Monitor
Reconcile
Recover
Document

Jira project data moves through a dedicated managed integration into your AWS destinationJira project, issue and custom-field data passes through mapping and validation in a dedicated customer stack. The integration writes the result to an AWS destination owned by the customer, with monitoring and reconciliation across the flow.

Business outcomes

What should become easier

Create a consistent source for delivery, service and operational reporting from Jira Cloud.
Manage recurring field mapping in the integration rather than in spreadsheets.
Make project-level schema differences explicit before modelling.
Use checkpoints and backfills to recover missed updates without rebuilding the entire dataset.

Operate with confidence

Plan around your systems and team

Permissions, data volumes, reporting needs and support responsibilities all shape the design.

Every project can differ

Projects can use different issue types, workflows and custom fields. We map those differences before bringing their data into shared reports.

Collect every page of results

Jira returns collections in pages. The integration follows the API’s paging information to collect the full result, even when page limits change.

Combine webhooks with regular checks

Webhooks help updates arrive sooner. Regular reconciliation, webhook expiry checks and backfills help keep the dataset complete.

What would you like to learn from your Jira data?

Share the systems involved, where the data needs to land and what is getting in the way. We’ll help you work out the next step.

Discuss a Jira integration