Two-way sync
Changes in Google Cloud Platform or Opsgenie instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform and Opsgenie in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Google Cloud Platform is the central store where teams keep BigQuery tables, Cloud SQL databases, Cloud Storage objects, Pub/Sub topics for reporting and analysis; Opsgenie runs the operational side of engineering work — tracking issues, moving messages and events, watching systems, and managing users and access. The two overlap wherever the same operational data matters to both: the Heartbeats, Alerts, Incidents, Users produced in Opsgenie are exactly what analysts want to measure in Google Cloud Platform, and the curated rows in Google Cloud Platform are what should drive the next action in Opsgenie. When that overlap is bridged by nightly ETL or hand-written scripts, dashboards lag a day behind reality and the tools that should react to warehouse signals never see them.
Stacksync syncs BigQuery tables, Cloud SQL databases, Cloud Storage objects, Pub/Sub topics in Google Cloud Platform with Heartbeats, Alerts, Incidents, Users in Opsgenie field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync matches records on a stable external key, keeps every copy consistent, and resolves conflicts by rules you set — so analytics and operations work from the same current data instead of two drifting copies.
Where Opsgenie manages users, directory, or access data, those records stay current in Google Cloud Platform — and can be provisioned back from it — so ownership and permissions match across both.
Records created in Opsgenie — issues, events, messages, metrics, or user changes — replicate into Google Cloud Platform tables as they happen, so reporting runs on current data instead of last night's export.
A row scored, flagged, or enriched in Google Cloud Platform creates or updates the matching record in Opsgenie, so the operational tool acts on the same data the analysts already see.
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.
| Google Cloud Platform objects | Opsgenie objects | How this pairing syncs | |
|---|---|---|---|
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Alerts Core object; created, acknowledged, closed, and escalated. Synced two-way so external systems raise alerts and read back their lifecycle state. | Cloud Storage objects is specific to Google Cloud Platform and Alerts to Opsgenie — each maps to any object or custom field on the other side. | |
| Pub/Sub topics Event streams used to move change events between systems in near real time. | Incidents Major-incident records declared against Services with stakeholders and status; mirrored into databases or ITSM tools for cross-tool tracking. | Pub/Sub topics is specific to Google Cloud Platform and Incidents to Opsgenie — each maps to any object or custom field on the other side. | |
| Firestore documents Document data read and written through the Firestore API for app-facing syncs. | Users Opsgenie accounts with contact methods and roles; commonly written from an IdP or HRIS so on-call identity stays current. | Firestore documents is specific to Google Cloud Platform and Users to Opsgenie — each maps to any object or custom field on the other side. | |
| Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | Teams Groups that own alerts, schedules, and escalations; membership synced from source-of-truth identity systems. | Spanner tables is specific to Google Cloud Platform and Teams to Opsgenie — each maps to any object or custom field on the other side. | |
| BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | Schedules On-call rotations defining who is on call and when; often read out to dashboards, portals, or Slack workflows. | BigQuery datasets is specific to Google Cloud Platform and Schedules to Opsgenie — each maps to any object or custom field on the other side. | |
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Escalations Policies that route unacknowledged alerts to the next responder; read out or kept aligned with team ownership. | BigQuery tables is specific to Google Cloud Platform and Escalations to Opsgenie — 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.
DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.
DeliveryEach detected change is written to Opsgenie through its API, with automatic retries and rate-limit backoff.
DetectionOpsgenie notifies Stacksync of record changes through webhook events. Outgoing webhook integrations push alert lifecycle events (create, acknowledge, close, escalate).
DeliveryEach detected change is applied to Google Cloud Platform as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–Opsgenie connection.
Changes in Google Cloud Platform or Opsgenie instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or Opsgenie data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Google Cloud Platform or Opsgenie record.
Track your Google Cloud Platform ⇄ Opsgenie sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and Opsgenie.
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 Google Cloud Platform and Opsgenie 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 Google Cloud Platform and Opsgenie 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 Google Cloud Platform and Opsgenie: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's Cloud Storage objects and Pub/Sub topics), map fields visually, and changes propagate both ways in milliseconds — no code required.
Google Cloud Platform: BigQuery is append-oriented: row mutations go through DML or the Storage Write API, and streamed rows pass through a buffer before some operations can touch them. Opsgenie: Atlassian has announced Opsgenie's retirement, with capabilities moving to Jira Service Management and Compass, which affects long-term sync planning. Stacksync's field mapping accounts for these differences between Google Cloud Platform and Opsgenie 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 Google Cloud Platform and Opsgenie records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Cloud Platform and Opsgenie connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Cloud Platform–Opsgenie integration in-house.
Yes — Stacksync ships production-grade connectors for both Google Cloud Platform and Opsgenie. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Google Cloud Platform: Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables. On Opsgenie: Outgoing webhook integrations push alert lifecycle events (create, acknowledge, close, escalate); objects without webhook coverage are polled on createdAt/updatedAt. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 418 integrations available for Google Cloud Platform and Opsgenie.