Real-time
Two-way sync
Changes in Atlassian or Google Pubsub instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Developer tools
Atlassian to Google Pubsub integration — real-time, two-way sync
Keep Atlassian and Google Pubsub 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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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Atlassian and Google Pubsub
Connect the tickets, records, and events in Atlassian to the systems engineering runs in Google Pubsub, kept current in real time and in both directions.
Atlassian is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Google Pubsub 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 Custom Fields, Workflows and Statuses, Users and Groups, Confluence Pages in Atlassian with Subscriptions, Messages, Schemas, Snapshots in Google Pubsub 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.
Common use cases
- 01 Keep Jira and a second tracker (for example a customer's Jira instance) aligned during co-delivery projects.
- 02 Sync Confluence page metadata into a knowledge index so other tools can link to current documentation.
- 03 Consume messages from a subscription via StreamingPull and write them into a Postgres or warehouse table for durable, SQL-queryable storage.
- 04 Fan out CRM record changes to a topic and let billing, analytics, and notification subscriptions each react without coupling to the source.
Common sync patterns
Where Google Pubsub is the directory or identity source: one set of users
People and accounts in Atlassian stay matched to the users in Google Pubsub, so access, provisioning, and org changes propagate instead of being keyed in twice.
Where Google Pubsub watches operations: live volumes for visibility
Open items, throughput, and error counts from Atlassian replicate into Google Pubsub, so the operational view reflects what is actually happening in the business.
One shared record across both systems
Where both systems keep records for the same contacts, items, or users, a correction in either updates the other, ending dual maintenance and keeping IDs aligned for every other flow.
What you can sync between Atlassian and Google Pubsub
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 | Google Pubsub objects | How this pairing syncs | |
|---|---|---|---|
| Workflows and Statuses Status transitions mapped to stages in the paired system. | Topics Named resource publishers send to; Stacksync publishes each record change as a message to a topic for downstream subscribers to consume. | Workflows and Statuses is specific to Atlassian and Topics to Google Pubsub — each maps to any object or custom field on the other side. | |
| Users and Groups Assignees and reporters matched to identities in other tools. | Subscriptions A stream of messages from one topic; Stacksync consumes here via StreamingPull or a push endpoint, acknowledging each message after a successful write. | Users and Groups is specific to Atlassian and Subscriptions to Google Pubsub — each maps to any object or custom field on the other side. | |
| Confluence Pages Documentation content readable and writable through the Confluence REST API. | Messages The synced unit: base64-encoded data plus attributes, ordering key, messageId and publishTime; capped at 10 MB each. | Confluence Pages is specific to Atlassian and Messages to Google Pubsub — each maps to any object or custom field on the other side. | |
| Confluence Spaces Namespaces that scope page syncs and permissions. | Schemas Avro or Protocol Buffer definitions bound to a topic; validate that every published message matches the agreed structure. | Confluence Spaces is specific to Atlassian and Schemas to Google Pubsub — 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. | Snapshots Captured subscription state for seek/replay; lets already-acknowledged messages be redelivered from a point in time. | Jira Issues is specific to Atlassian and Snapshots to Google Pubsub — each maps to any object or custom field on the other side. | |
| Jira Projects Containers that scope issues, workflows, and permissions for a sync. | Message attributes Up to 100 key-value pairs per message; carry routing metadata and drive subscription filter expressions. | Jira Projects is specific to Atlassian and Message attributes to Google Pubsub — each maps to any object or custom field on the other side. |
How changes propagate between Atlassian and Google Pubsub
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 Google Pubsub 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 Google Pubsub through its API, with automatic retries and rate-limit backoff.
Google Pubsub Atlassian Sub-second propagation
DetectionGoogle Pubsub notifies Stacksync of record changes through webhook events. Consumes messages as they arrive on a subscription — StreamingPull (long-lived gRPC) or a push subscription delivering each message as an HTTPS POST.
DeliveryEach detected change is written to Atlassian through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Google Pubsub: Per-region throughput quotas (publish up to ~4 GB/s in large regions); 10 MB max per message and per publish request, 1,000 messages per request, and 1 MBps per ordering key.
What ships with Atlassian ⇄ Google Pubsub
Connect Atlassian and Google Pubsub for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–Google Pubsub connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Atlassian or Google Pubsub 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 Google Pubsub record.
Observability
Monitoring
Track your Atlassian ⇄ Google Pubsub 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 Google Pubsub.
How the Atlassian and Google Pubsub 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
Google Pubsub
- Integration surface
- REST and gRPC (Cloud Pub/Sub API v1)
- Authentication
- Google Cloud IAM via OAuth 2.0 / service-account credentials (JSON key or workload identity); requires roles such as pubsub.publisher and pubsub.subscriber
- Change detection
- Consumes messages as they arrive on a subscription — StreamingPull (long-lived gRPC) or a push subscription delivering each message as an HTTPS POST; no modified-date polling
- Capabilities
- read · write · webhooks
- Rate limits
- Per-region throughput quotas (publish up to ~4 GB/s in large regions); 10 MB max per message and per publish request, 1,000 messages per request, and 1 MBps per ordering key
How it works
How to connect Atlassian to Google Pubsub — 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.
- 01
Connect your apps
Authenticate Atlassian and Google Pubsub with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Atlassian
connected
Google Pubsub
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Atlassian and Google Pubsub 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.
objects · Atlassian ⇄ Google PubsubCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Atlassian Google PubsubCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Atlassian and Google Pubsub integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and Google Pubsub: authenticate both systems, choose the objects to sync (such as Atlassian's Workflows and Statuses and Users and Groups), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Atlassian side: Custom Fields, Workflows and Statuses, Users and Groups, Confluence Pages, plus custom fields where Atlassian exposes them. On the Google Pubsub side: Subscriptions, Messages, Schemas, Snapshots. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Atlassian and Google Pubsub: Where Google Pubsub is the directory or identity source: one set of users; Where Google Pubsub watches operations: live volumes for visibility; One shared record across both systems. People and accounts in Atlassian stay matched to the users in Google Pubsub, so access, provisioning, and org changes propagate instead of being keyed in twice.
-
Atlassian: REST APIs per product (Jira Cloud and Confluence Cloud). Authentication: OAuth 2.0 (3LO) for apps or API tokens with basic auth for scripts. Google Pubsub: REST and gRPC (Cloud Pub/Sub API v1). Authentication: Google Cloud IAM via OAuth 2.0 / service-account credentials (JSON key or workload identity); requires roles such as pubsub.publisher and pubsub.subscriber. Stacksync manages authentication, retries, and rate limits on both sides.
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Atlassian: Jira custom fields are identified by instance-specific IDs (customfield_XXXXX), so field mappings must be discovered per site rather than hard-coded. Google Pubsub: Delivery is at-least-once by default; exactly-once delivery is offered only on pull subscriptions within a single region, so consumers should be idempotent. Stacksync's field mapping accounts for these differences between Atlassian and Google Pubsub without custom code.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 256 integrations available for Atlassian and Google Pubsub.
Popular · 7 of 256
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Atlassian ⇄ Microsoft Graph -
Atlassian ⇄ Jms -
Atlassian ⇄ Newrelic -
Atlassian ⇄ Opsgenie -
Google Pubsub ⇄ eClinicalWorks -
Google Pubsub ⇄ Google Sheets -
Google Pubsub ⇄ Klaviyo
No integrations match .
