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Atlassian to Datadog integration — real-time, two-way sync

Keep Atlassian and Datadog 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 Datadog

Connect the tickets, records, and events in Atlassian to the systems engineering runs in Datadog, 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. Datadog 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 Boards and Sprints, Issue Comments, Attachments, Custom Fields in Atlassian with Monitors, Logs, Events, Dashboards in Datadog 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 Sync Confluence page metadata into a knowledge index so other tools can link to current documentation.
  • 02 Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.
  • 03 Sync Monitors and their alert state into Postgres so reliability teams query alert history and noisy-monitor trends in SQL.
  • 04 Provision and update Datadog Monitors from a config database or Git so alert definitions stay consistent across teams and environments.

Common sync patterns

Where Datadog moves messages between services: activity lands on the stream

Records created or changed in Atlassian publish to the queue or topic in Datadog as they happen, so downstream services react to real events rather than polling for them.

Where Datadog is the directory or identity source: one set of users

People and accounts in Atlassian stay matched to the users in Datadog, so access, provisioning, and org changes propagate instead of being keyed in twice.

Where Datadog watches operations: live volumes for visibility

Open items, throughput, and error counts from Atlassian replicate into Datadog, so the operational view reflects what is actually happening in the business.

What you can sync between Atlassian and Datadog

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 Datadog objects How this pairing syncs
Confluence Pages Documentation content readable and writable through the Confluence REST API. Events The event stream (deploys, alerts, comments) searched via the v2 Events endpoint and posted via POST /api/v1/events; used to correlate deploy and incident timelines or to publish deploy and pipeline events into Datadog. Confluence Pages is specific to Atlassian and Events to Datadog — each maps to any object or custom field on the other side.
Confluence Spaces Namespaces that scope page syncs and permissions. Dashboards Dashboard definitions and widgets via the v1 Dashboards API with full CRUD; exported for backup and audit, or created and updated programmatically from a source of truth. Confluence Spaces is specific to Atlassian and Dashboards to Datadog — 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. Metrics Time-series metrics queried in aggregate windows through the query API and submitted via POST /api/v1/series; individual raw points cannot be extracted beyond retention. Jira Issues is specific to Atlassian and Metrics to Datadog — each maps to any object or custom field on the other side.
Jira Projects Containers that scope issues, workflows, and permissions for a sync. Incidents Incident records from the v2 Incidents API with full CRUD, including status and timeline fields; landed in a database for MTTR reporting or created and updated from an external incident workflow. Jira Projects is specific to Atlassian and Incidents to Datadog — each maps to any object or custom field on the other side.
Boards and Sprints Agile structures read to report on sprint contents and status. Service Level Objectives SLO definitions and status history via the v1 SLO API with full CRUD; read out for reliability and error-budget reporting, or provisioned and updated from a reliability config. Boards and Sprints is specific to Atlassian and Service Level Objectives to Datadog — each maps to any object or custom field on the other side.
Issue Comments Threaded discussion synced into linked tickets in external systems. Hosts Infrastructure host inventory with tags and metadata from the v1 host list API; loaded into a CMDB or warehouse for asset tracking, and hosts can be muted or unmuted via the API. Issue Comments is specific to Atlassian and Hosts to Datadog — each maps to any object or custom field on the other side.

How changes propagate between Atlassian and Datadog

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 Datadog 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 Datadog through its API, with automatic retries and rate-limit backoff.

Datadog Atlassian Sub-second propagation

DetectionDatadog notifies Stacksync of record changes through webhook events. Polling with time-windowed search queries on Logs and Events (timestamp cursor).

DeliveryEach detected change is written to Atlassian through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Datadog: Per-endpoint limits return HTTP 429 with X-RateLimit-Limit/-Remaining/-Period/-Reset headers. Log ingestion and metric submission are not rate limited; search endpoints such as Logs and Events queries carry quotas that Datadog Support can raise.
What ships with Atlassian ⇄ Datadog

Connect Atlassian and Datadog for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–Datadog connection.

Real-time

Two-way sync

Changes in Atlassian or Datadog instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or Datadog 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 Datadog record.

Observability

Monitoring

Track your Atlassian ⇄ Datadog 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 Datadog.

How the Atlassian and Datadog 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

Datadog

Integration surface
REST API (v1 and v2)
Authentication
API key (DD-API-KEY) plus an Application key (DD-APPLICATION-KEY) sent as request headers; application keys are tied to the creating user and inherit that user's permissions and authorization scopes.
Change detection
Polling with time-windowed search queries on Logs and Events (timestamp cursor); monitor alerts can also push via the Webhooks notification integration. No modified-date CDC on mutable objects.
Capabilities
read · write · webhooks
Rate limits
Per-endpoint limits return HTTP 429 with X-RateLimit-Limit/-Remaining/-Period/-Reset headers. Log ingestion and metric submission are not rate limited; search endpoints such as Logs and Events queries carry quotas that Datadog Support can raise.
How it works

How to connect Atlassian to Datadog — 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.

  1. 01

    Connect your apps

    Authenticate Atlassian and Datadog with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Atlassian connected
    Datadog connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Atlassian and Datadog 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Atlassian ⇄ Datadog
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Atlassian Datadog
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Atlassian and Datadog integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 323 integrations available for Atlassian and Datadog.

Popular · 7 of 323
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