Two-way sync
Changes in Datadog or Microsoft Teams instantly reflect in both systems. No stale data, no manual imports.
Keep Datadog and Microsoft Teams in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Microsoft Teams 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 Online Meetings, Tabs & Installed Apps, Teams, Channels in Microsoft Teams with Metrics, Incidents, Service Level Objectives, Hosts 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.
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.
A ticket or request raised in Microsoft Teams opens or updates a matching issue in Datadog, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.
Records created or changed in Microsoft Teams publish to the queue or topic in Datadog as they happen, so downstream services react to real events rather than polling for them.
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.
| Datadog objects | Microsoft Teams objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Online Meetings Meeting records synced with scheduling and CRM activity timelines. | Dashboards is specific to Datadog and Online Meetings to Microsoft Teams — each maps to any object or custom field on the other side. | |
| 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. | Tabs & Installed Apps App configuration read to audit or provision team workspaces. | Metrics is specific to Datadog and Tabs & Installed Apps to Microsoft Teams — each maps to any object or custom field on the other side. | |
| 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. | Teams Team containers provisioned or read to mirror org and project structure. | Incidents is specific to Datadog and Teams to Microsoft Teams — each maps to any object or custom field on the other side. | |
| 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. | Channels Channel targets used for routing synced notifications and updates. | Service Level Objectives is specific to Datadog and Channels to Microsoft Teams — each maps to any object or custom field on the other side. | |
| 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. | Channel Messages Posted messages read for archiving or written to broadcast record changes. | Hosts is specific to Datadog and Channel Messages to Microsoft Teams — each maps to any object or custom field on the other side. | |
| Monitors Alert definitions with query, thresholds, and current state via the v1 Monitors API, which supports full create, update, and delete; Stacksync reads alert state into a warehouse or provisions and updates monitors from a config source. | Chats & Chat Messages 1:1 and group chat content read under protected-API access for compliance use. | Monitors is specific to Datadog and Chats & Chat Messages to Microsoft Teams — 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.
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 Microsoft Teams through its API, with automatic retries and rate-limit backoff.
DetectionMicrosoft Teams notifies Stacksync of record changes through webhook events. Graph change notifications (webhooks) for messages and membership.
DeliveryEach detected change is written to Datadog through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Datadog–Microsoft Teams connection.
Changes in Datadog or Microsoft Teams instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Datadog or Microsoft Teams data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Datadog or Microsoft Teams record.
Track your Datadog ⇄ Microsoft Teams sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Datadog and Microsoft Teams.
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 Datadog and Microsoft Teams 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 Datadog and Microsoft Teams 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 Datadog and Microsoft Teams: authenticate both systems, choose the objects to sync (such as Datadog's Dashboards and Metrics), map fields visually, and changes propagate both ways in milliseconds — no code required.
Datadog: 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. Microsoft Teams: REST API (Microsoft Graph). Authentication: OAuth 2.0 via Microsoft Entra ID; reading message content at scale requires Microsoft-approved protected-API access. Stacksync manages authentication, retries, and rate limits on both sides.
Microsoft Teams: Teams has no standalone API; all programmatic access goes through Microsoft Graph alongside the rest of Microsoft 365. Datadog: Datadog is multi-region (US1, US3, US5, EU1, AP1, US1-FED); the API host differs per site (api.datadoghq.com vs api.datadoghq.eu) and API and application keys are scoped to a single site. Stacksync's field mapping accounts for these differences between Datadog and Microsoft Teams 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 Datadog and Microsoft Teams records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Datadog and Microsoft Teams connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Datadog–Microsoft Teams integration in-house.
Yes — Stacksync ships production-grade connectors for both Datadog and Microsoft Teams. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 324 integrations available for Datadog and Microsoft Teams.