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

Keep Campfire 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 Campfire and Datadog

Connect the tickets, records, and events in Campfire to the systems engineering runs in Datadog, kept current in real time and in both directions.

Campfire 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 Debit Memo, Invoice, Credit Memo, Bank Account in Campfire with Logs, Events, Dashboards, Metrics 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 Route inbound lead or form submissions into the right room via a bot.
  • 02 Send scheduled digest messages built from synced database queries.
  • 03 Pull the Hosts inventory into a CMDB or database for asset tracking, tag hygiene, and cost allocation across teams.
  • 04 Sync Monitors and their alert state into Postgres so reliability teams query alert history and noisy-monitor trends in SQL.

Common sync patterns

One shared record across both systems

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.

Where Datadog tracks engineering work: requests become issues

A ticket or request raised in Campfire 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.

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

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

What you can sync between Campfire 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.

Campfire objects Datadog objects How this pairing syncs
Bill Synced with incremental and full sync per the Stacksync docs. 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. Bill is specific to Campfire and Metrics to Datadog — each maps to any object or custom field on the other side.
Debit Memo Synced with incremental and full sync per the Stacksync docs. 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. Debit Memo is specific to Campfire and Incidents to Datadog — each maps to any object or custom field on the other side.
Invoice Synced with incremental and full sync per the Stacksync docs. 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. Invoice is specific to Campfire and Service Level Objectives to Datadog — each maps to any object or custom field on the other side.
Credit Memo Synced with incremental and full sync per the Stacksync docs. 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. Credit Memo is specific to Campfire and Hosts to Datadog — each maps to any object or custom field on the other side.
Bank Account Synced with incremental and full sync per the Stacksync docs. 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. Bank Account is specific to Campfire and Monitors to Datadog — each maps to any object or custom field on the other side.
Bank Transaction Synced with incremental and full sync per the Stacksync docs. Logs Log events searched via the v2 Logs search endpoint by time window and submittable through the log intake API; commonly streamed to a warehouse for retention beyond Datadog's storage period. Bank Transaction is specific to Campfire and Logs to Datadog — each maps to any object or custom field on the other side.

How changes propagate between Campfire 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.

Campfire Datadog Sub-second propagation

DetectionCampfire pushes changes as they happen — webhook events backed by change data capture. Near real-time updates via change tracking (incremental sync).

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

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

Rate-limit considerations

  • Campfire: Limits depend on the self-hosted deployment; confirm against the instance's documentation.
  • 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 Campfire ⇄ Datadog

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Campfire 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 Campfire or Datadog record.

Observability

Monitoring

Track your Campfire ⇄ Datadog sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Campfire and Datadog.

How the Campfire and Datadog connectors work

Campfire

Integration surface
HTTP endpoints for bot integrations on a self-hosted instance
Authentication
API key — create an API user with a Super User Role in Campfire (Settings -> API Keys), generate an API Key secret, and provide it in the Stacksync connection setup
Change detection
Near real-time updates via change tracking (incremental sync); delete detection per object (some objects detected every 24h)
Capabilities
read · write · CDC · webhooks
Rate limits
Limits depend on the self-hosted deployment; confirm against the instance's documentation.
Campfire setup guide

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

    Choose tables

    Pick the Campfire 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 · Campfire ⇄ 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
    Campfire Datadog
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Campfire 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 371 integrations available for Campfire and Datadog.

Popular · 8 of 371
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