Two-way sync
Changes in AWS Aurora PostgreSQL or Opsgenie instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL 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.
AWS Aurora PostgreSQL is where your application's durable data lives; Opsgenie is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Replication slots and publications, Databases and schemas, Tables, Rows in AWS Aurora PostgreSQL with Incidents, Users, Teams, Schedules in Opsgenie field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Updates in Opsgenie arrive as row changes in AWS Aurora PostgreSQL, and writes to AWS Aurora PostgreSQL propagate to Opsgenie within seconds, so triggers, jobs, and alerts fire without polling.
Directory and identity records in Opsgenie stay matched to the users or owners table in AWS Aurora PostgreSQL, so provisioning and de-provisioning flow from one source.
A new or changed row in AWS Aurora PostgreSQL creates or updates the matching record in Opsgenie, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
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.
| AWS Aurora PostgreSQL objects | Opsgenie objects | How this pairing syncs | |
|---|---|---|---|
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Services Services that Incidents are declared against; synced to reporting stores to break down reliability metrics by service. | Primary keys and constraints is specific to AWS Aurora PostgreSQL and Services to Opsgenie — each maps to any object or custom field on the other side. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Heartbeats Deadman-switch monitors expecting periodic pings; ping state read or written to signal system liveness. | Views and materialized views is specific to AWS Aurora PostgreSQL and Heartbeats to Opsgenie — each maps to any object or custom field on the other side. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Alerts Core object; created, acknowledged, closed, and escalated. Synced two-way so external systems raise alerts and read back their lifecycle state. | Foreign keys is specific to AWS Aurora PostgreSQL and Alerts to Opsgenie — each maps to any object or custom field on the other side. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Incidents Major-incident records declared against Services with stakeholders and status; mirrored into databases or ITSM tools for cross-tool tracking. | Replication slots and publications is specific to AWS Aurora PostgreSQL and Incidents to Opsgenie — each maps to any object or custom field on the other side. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Users Opsgenie accounts with contact methods and roles; commonly written from an IdP or HRIS so on-call identity stays current. | Databases and schemas is specific to AWS Aurora PostgreSQL and Users to Opsgenie — each maps to any object or custom field on the other side. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Teams Groups that own alerts, schedules, and escalations; membership synced from source-of-truth identity systems. | Tables is specific to AWS Aurora PostgreSQL and Teams 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.
DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.
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 AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Opsgenie connection.
Changes in AWS Aurora PostgreSQL or Opsgenie instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL or Opsgenie record.
Track your AWS Aurora PostgreSQL ⇄ Opsgenie sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and Opsgenie: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Primary keys and constraints and Views and materialized views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for AWS Aurora PostgreSQL and Opsgenie: React to changes on either side in near real time; Where Opsgenie manages users or groups: keep identity aligned; Turn rows into the records your tools track. Updates in Opsgenie arrive as row changes in AWS Aurora PostgreSQL, and writes to AWS Aurora PostgreSQL propagate to Opsgenie within seconds, so triggers, jobs, and alerts fire without polling.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Opsgenie: REST API (v2). Authentication: API key sent as the `Authorization: GenieKey <key>` header, scoped per API integration to specific actions and teams. Stacksync manages authentication, retries, and rate limits on both sides.
AWS Aurora PostgreSQL: Replication slots retain WAL for their consumers, so an interrupted CDC sync can resume without losing changes. Opsgenie: Rate limits are enforced per domain (Alert, Notification, Configuration, etc.) and scale with plan tier and seat count; Configuration-domain calls covering Users, Teams, and Schedules have the lowest ceiling. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and Opsgenie records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora PostgreSQL and Opsgenie connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–Opsgenie integration in-house.
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 331 integrations available for AWS Aurora PostgreSQL and Opsgenie.