Two-way sync
Changes in Elasticsearch or Opsgenie instantly reflect in both systems. No stale data, no manual imports.
Keep Elasticsearch 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.
Elasticsearch 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 Indices, Documents, Index mappings, Aliases in Elasticsearch with Schedules, Escalations, Services, Heartbeats 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.
Read and write the synced tables in Elasticsearch and Stacksync keeps Opsgenie current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Updates in Opsgenie arrive as row changes in Elasticsearch, and writes to Elasticsearch 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 Elasticsearch, so provisioning and de-provisioning flow from one source.
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.
| Elasticsearch objects | Opsgenie objects | How this pairing syncs | |
|---|---|---|---|
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Users Opsgenie accounts with contact methods and roles; commonly written from an IdP or HRIS so on-call identity stays current. | Indices is specific to Elasticsearch and Users to Opsgenie — each maps to any object or custom field on the other side. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Teams Groups that own alerts, schedules, and escalations; membership synced from source-of-truth identity systems. | Documents is specific to Elasticsearch and Teams to Opsgenie — each maps to any object or custom field on the other side. | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Schedules On-call rotations defining who is on call and when; often read out to dashboards, portals, or Slack workflows. | Index mappings is specific to Elasticsearch and Schedules to Opsgenie — each maps to any object or custom field on the other side. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Escalations Policies that route unacknowledged alerts to the next responder; read out or kept aligned with team ownership. | Aliases is specific to Elasticsearch and Escalations to Opsgenie — each maps to any object or custom field on the other side. | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | Services Services that Incidents are declared against; synced to reporting stores to break down reliability metrics by service. | Data streams is specific to Elasticsearch and Services to Opsgenie — each maps to any object or custom field on the other side. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Heartbeats Deadman-switch monitors expecting periodic pings; ping state read or written to signal system liveness. | Ingest pipelines is specific to Elasticsearch and Heartbeats 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.
DetectionStacksync polls Elasticsearch for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or sequence fields.
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 written to Elasticsearch through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Opsgenie connection.
Changes in Elasticsearch or Opsgenie instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Elasticsearch 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 Elasticsearch or Opsgenie record.
Track your Elasticsearch ⇄ Opsgenie sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Elasticsearch 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 Elasticsearch 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 Elasticsearch 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 Elasticsearch and Opsgenie: authenticate both systems, choose the objects to sync (such as Elasticsearch's Indices and Documents), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. 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.
On the Elasticsearch side: Indices, Documents, Index mappings, Aliases, plus custom fields where Elasticsearch exposes them. On the Opsgenie side: Schedules, Escalations, Services, Heartbeats. Stacksync auto-detects both schemas and converts types between the two systems.
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 Elasticsearch and Opsgenie: One integration pattern instead of per-tool API code; React to changes on either side in near real time; Where Opsgenie manages users or groups: keep identity aligned. Read and write the synced tables in Elasticsearch and Stacksync keeps Opsgenie current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. 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.
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 399 integrations available for Elasticsearch and Opsgenie.