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Atlassian to GitHub integration — real-time, two-way sync

Keep Atlassian and GitHub in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Atlassian and GitHub

Stop re-entering the same information in Atlassian and GitHub: Stacksync keeps the records they share consistent in real time, in both directions.

Development teams connect Atlassian and GitHub to close the gap between planned work and shipped code. Jira Issues link to the GitHub Pull Requests and Commits that implement them, so project status in Boards and Sprints reflects what actually merged. Releases and workflow runs feed delivery state back into Jira without manual updates.

Stacksync syncs Users and Groups, Confluence Pages, Confluence Spaces, Jira Issues in Atlassian with Repositories, Issues, Pull Requests, Commits in GitHub in real time. You choose which records overlap, map the fields that should match, and pick a direction or let changes flow both ways. From then on, an update made in either tool is reflected in the other within seconds, without exports or copy-paste.

Because the sync is field-level, each tool keeps its own extras; only the shared data is held in agreement.

Common use cases

  • 01 Audit that every production change traces from a Commit back to an approved Jira Issue.
  • 02 Surface failing Workflow runs (Actions) as Issue Comments so QA follows CI state in Jira.
  • 03 Report sprint scope against merged Pull Requests per Repository.
  • 04 Keep Jira and a second tracker (for example a customer's Jira instance) aligned during co-delivery projects.

Common sync patterns

PR-driven issue transitions

merged GitHub Pull Requests update the linked Jira Issue status so Boards and Sprints stay accurate.

Commit traceability

GitHub Commits referencing an Issue key attach to the Jira Issue for a full change history.

Release rollups

GitHub Releases map to Jira Projects so stakeholders see which Issues shipped in each release.

What you can sync between Atlassian and GitHub

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Atlassian objects GitHub objects How this pairing syncs
Confluence Pages Documentation content readable and writable through the Confluence REST API. Pull Requests Review state, status checks, and merge status feed engineering dashboards and workflow tools. Confluence Pages is specific to Atlassian and Pull Requests to GitHub — each maps to any object or custom field on the other side.
Confluence Spaces Namespaces that scope page syncs and permissions. Commits Read-only history used to link code activity to tickets and releases. Confluence Spaces is specific to Atlassian and Commits to GitHub — each maps to any object or custom field on the other side.
Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. Releases Tagged versions synced into changelogs, CRMs, or customer-notification systems. Jira Issues is specific to Atlassian and Releases to GitHub — each maps to any object or custom field on the other side.
Jira Projects Containers that scope issues, workflows, and permissions for a sync. Workflow runs (Actions) CI results synced into incident and reporting systems. Jira Projects is specific to Atlassian and Workflow runs (Actions) to GitHub — each maps to any object or custom field on the other side.
Boards and Sprints Agile structures read to report on sprint contents and status. Organizations and Teams Membership data synced with identity systems and HR directories for access reviews. Boards and Sprints is specific to Atlassian and Organizations and Teams to GitHub — each maps to any object or custom field on the other side.
Issue Comments Threaded discussion synced into linked tickets in external systems. Users Author and assignee identities matched to internal directories. Issue Comments is specific to Atlassian and Users to GitHub — each maps to any object or custom field on the other side.

How changes propagate between Atlassian and GitHub

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Atlassian GitHub Sub-second propagation

DetectionAtlassian notifies Stacksync of record changes through webhook events. Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill.

DeliveryEach detected change is written to GitHub through its API, with automatic retries and rate-limit backoff.

GitHub Atlassian Sub-second propagation

DetectionGitHub notifies Stacksync of record changes through webhook events. Webhooks with a broad event catalog covering issues, pull requests, pushes, and releases.

DeliveryEach detected change is written to Atlassian through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • GitHub: Authenticated REST requests are limited to 5,000 per hour per user; GitHub Apps scale limits per installation.
What ships with Atlassian ⇄ GitHub

Connect Atlassian and GitHub for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–GitHub connection.

Real-time

Two-way sync

Changes in Atlassian or GitHub instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or GitHub data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Atlassian or GitHub record.

Observability

Monitoring

Track your Atlassian ⇄ GitHub sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Atlassian and GitHub.

How the Atlassian and GitHub connectors work

Atlassian

Integration surface
REST APIs per product (Jira Cloud and Confluence Cloud)
Authentication
OAuth 2.0 (3LO) for apps or API tokens with basic auth for scripts
Change detection
Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill
Capabilities
read · write · webhooks

GitHub

Integration surface
REST API and GraphQL API
Authentication
OAuth 2.0, fine-grained personal access tokens, or GitHub App installation tokens
Change detection
Webhooks with a broad event catalog covering issues, pull requests, pushes, and releases; polling for backfill
Capabilities
read · write · webhooks
Rate limits
Authenticated REST requests are limited to 5,000 per hour per user; GitHub Apps scale limits per installation.
How it works

How to connect Atlassian to GitHub — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Atlassian and GitHub with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Atlassian connected
    GitHub connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Atlassian and GitHub objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Atlassian ⇄ GitHub
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Atlassian GitHub
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Atlassian and GitHub integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 395 integrations available for Atlassian and GitHub.

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