Two-way sync
Changes in Azure Service Bus or GitHub instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Service Bus 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.
GitHub is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Azure Service Bus is where engineering runs the systems behind that work — the issue trackers, message brokers, directories, and monitors that keep services moving. The same items, people, and events matter to both, and when the only link between them is a manual hand-off or an overnight export, each side acts on a stale copy of what the other already knows.
Stacksync syncs Repositories, Issues, Pull Requests, Commits in GitHub with Subscriptions, Messages, Rules / Filters, Sessions in Azure Service Bus field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync maps the overlap, resolves conflicts by rules you set, and keeps every copy current, with no middleware to build and no API limits to babysit.
A ticket or request raised in GitHub opens or updates a matching issue in Azure Service Bus, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.
Records created or changed in GitHub publish to the queue or topic in Azure Service Bus as they happen, so downstream services react to real events rather than polling for them.
People and accounts in GitHub stay matched to the users in Azure Service Bus, so access, provisioning, and org changes propagate instead of being keyed in twice.
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.
| Azure Service Bus objects | GitHub objects | How this pairing syncs | |
|---|---|---|---|
| Subscriptions A virtual queue attached to a topic; a consumer receives its own stream of matching messages here, independent of other subscriptions on the same topic. | Issues Synced two-way with project trackers and support tools, including labels and assignees. | Subscriptions is specific to Azure Service Bus and Issues to GitHub — each maps to any object or custom field on the other side. | |
| Messages The synced unit: a body plus system and user properties, MessageId, SessionId, and TTL; capped at 256 KB on Standard and up to 100 MB on Premium over AMQP. | Pull Requests Review state, status checks, and merge status feed engineering dashboards and workflow tools. | Messages is specific to Azure Service Bus and Pull Requests to GitHub — each maps to any object or custom field on the other side. | |
| Rules / Filters SQL or correlation filters on a subscription that decide which topic messages it receives; a rule can also add or modify properties via a filter action. | Commits Read-only history used to link code activity to tickets and releases. | Rules / Filters is specific to Azure Service Bus and Commits to GitHub — each maps to any object or custom field on the other side. | |
| Sessions Message sessions group related messages by SessionId so one consumer handles them in FIFO order; the way ordered processing is achieved in Service Bus. | Releases Tagged versions synced into changelogs, CRMs, or customer-notification systems. | Sessions is specific to Azure Service Bus and Releases to GitHub — each maps to any object or custom field on the other side. | |
| Dead-letter queue A sub-queue on every queue and subscription that automatically holds messages exceeding the max delivery count or their TTL, read for inspection and reprocessing. | Workflow runs (Actions) CI results synced into incident and reporting systems. | Dead-letter queue is specific to Azure Service Bus and Workflow runs (Actions) to GitHub — each maps to any object or custom field on the other side. | |
| Scheduled / deferred messages Messages enqueued for future delivery at a set time, or deferred and set aside by sequence number for retrieval later, out of the normal receive order. | Organizations and Teams Membership data synced with identity systems and HR directories for access reviews. | Scheduled / deferred messages is specific to Azure Service Bus and Organizations and Teams to GitHub — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls Azure Service Bus for changes on an incremental schedule, reading only records changed since the previous pass. Consumes messages as they arrive: an AMQP receiver holds an open connection and takes messages with PeekLock (lock, then complete/abandon) or.
DeliveryEach detected change is written to GitHub through its API, with automatic retries and rate-limit backoff.
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 Azure Service Bus through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Service Bus–GitHub connection.
Changes in Azure Service Bus or GitHub instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Service Bus or GitHub data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Azure Service Bus or GitHub record.
Track your Azure Service Bus ⇄ GitHub sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Service Bus and GitHub.
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.
Authenticate Azure Service Bus 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.
Pick the Azure Service Bus 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Azure Service Bus and GitHub: authenticate both systems, choose the objects to sync (such as Azure Service Bus's Subscriptions and Messages), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Azure Service Bus and GitHub: Where Azure Service Bus tracks engineering work: requests become issues; Where Azure Service Bus moves messages between services: activity lands on the stream; Where Azure Service Bus is the directory or identity source: one set of users. A ticket or request raised in GitHub opens or updates a matching issue in Azure Service Bus, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.
Azure Service Bus: AMQP 1.0 messaging protocol plus an HTTP/REST API; entities live under a namespace at <namespace>.servicebus.windows.net (legacy SBMP also supported). Authentication: Microsoft Entra ID (Azure AD) RBAC with managed identities - roles Azure Service Bus Data Owner, Data Sender, and Data Receiver - or Shared Access Signature (SAS) policies scoped with Manage, Send, and Listen claims. GitHub: REST API and GraphQL API. Authentication: OAuth 2.0, fine-grained personal access tokens, or GitHub App installation tokens. Stacksync manages authentication, retries, and rate limits on both sides.
GitHub: Webhook deliveries are signed with a shared secret (HMAC), letting receivers verify payload authenticity before applying changes. Azure Service Bus: Message size differs by tier: Standard caps messages at 256 KB, while Premium defaults to 1 MB and supports up to 100 MB per message over AMQP; message batches are capped at 1 MB on all tiers. Stacksync's field mapping accounts for these differences between Azure Service Bus and GitHub without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Azure Service Bus and GitHub records are not retained after a sync operation.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 336 integrations available for Azure Service Bus and GitHub.