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Sentry Integration Guide

Connect Sentry error, performance, release, and monitoring data with enterprise systems through REST APIs, selective webhooks, event ingestion, and Martini workflows.

Sentry integration options at a glance

Sentry provides a documented REST API for organizations, projects, issues, events, releases, teams, monitors, alerts, and related resources. Applications submit telemetry through Sentry SDKs and project DSNs, while the envelope protocol supports batched event-related data such as attachments, sessions, and transaction information. Sentry also supports webhook-style notifications for selected integration-platform events and actions, rather than every event lifecycle. Martini can consume the REST API, receive supported callbacks, process envelope or ingestion requests, apply filtering and business rules, and synchronize selected Sentry data with enterprise applications. Scoped bearer tokens, DSNs, pagination, rate limits, and payload validation should be managed through secure Martini configuration.

Integration pointSupported by Sentry?Common use casesHow Martini supports it
REST APIsYesManage and query Organizations, Projects, Issues, Events, Releases, Teams, Monitors, alerts, dashboards, and related resources.Martini can consume Sentry REST endpoints from workflows, paginate results, apply business rules, and expose a controlled internal API over selected Sentry operations.
Webhooks / outbound callbacksLimitedReceive notifications for supported integration-platform events and actions. Coverage depends on the configured integration and event category.Martini can expose an API endpoint or webhook-triggered workflow, validate callbacks, normalize payloads, and route them to downstream systems.
Event ingestion and SDKsYesApplications submit errors, transactions, traces, sessions, and related telemetry through Sentry SDKs and project DSNs.Martini can orchestrate HTTP ingestion or process Sentry API data, but application instrumentation is generally better handled by Sentry's official SDKs.
Envelope and batch ingestionLimitedThe envelope protocol batches event-related items such as events, attachments, sessions, and transaction data.Martini can process or generate HTTP requests for documented envelope or ingestion use cases and validate payload size and item types.
File / attachment APIsLimitedAttachments can be transported as envelope items, while release artifacts and related files are managed through relevant API areas.Martini can route attachment metadata or selected binary content, enforce size limits, and map release or event references to target systems.
Event and analytics queriesLimitedDiscover-style and related API queries support filtered analysis of event and issue data subject to permissions, time ranges, and query limits.Martini can invoke documented query endpoints, apply time-window and project filters, paginate results, and store synchronization checkpoints.
AuthenticationYesREST access uses scoped bearer-style organization or user auth tokens; SDK ingestion uses project DSNs and selected integrations may use OAuth or integration tokens.Martini can store tokens and DSNs as secrets or environment configuration and send only the credential appropriate to each workflow.
GraphQL and SOAP APIsNot confirmedNo public, vendor-supported GraphQL or SOAP API was confirmed for new Sentry integrations.Martini should use Sentry's documented REST, ingestion, envelope, and supported webhook mechanisms instead.

How Sentry exposes data and business events

Sentry REST APIs

Sentry's REST API provides documented administrative, operational, and data endpoints for Organizations, Projects, Issues, Events, Releases, Teams, Monitors, alerts, and related resources. It is the primary mechanism for broad synchronization and controlled resource management.

Martini implementation pattern

Martini implementation pattern: a workflow authenticates with a scoped Sentry bearer token, retrieves the required resources, follows pagination, filters by project, environment, release, or time range, maps the response to a canonical model, and writes the result to downstream systems. Checkpoints and stable Sentry identifiers support incremental processing.

Implementation sequence

Authenticate with a scoped Sentry bearer token
Retrieve the selected Sentry resource
Follow pagination metadata or links
Filter records by project, environment, or time range
Map Sentry fields to the target model
Write the result and store a synchronization checkpoint

Sentry Webhooks

Sentry supports webhook-style notifications for selected integration-platform events and actions. These callbacks are selective and depend on the integration configuration and event category; they are not a universal notification stream for every Sentry event.

Martini implementation pattern

Martini implementation pattern: expose a controlled API endpoint or webhook-triggered workflow, validate the request and payload, optionally retrieve the current Issue or Event from Sentry, then route normalized data to an ITSM, collaboration, or incident platform. Longer processing can continue asynchronously after basic validation.

Implementation sequence

Receive the supported Sentry callback
Validate the method, content type, and webhook authenticity
Extract the Sentry Issue, Event, or related identifier
Retrieve current details when the callback is incomplete
Apply routing and deduplication rules
Forward the normalized notification and return an appropriate response

Sentry Envelopes and Event Ingestion

Sentry SDKs and ingestion protocols accept structured telemetry through project DSNs. The envelope protocol packages one or more event-related items, including events, attachments, sessions, and transaction data, but is not a general bulk CRUD API.

Martini implementation pattern

Martini implementation pattern: use an HTTP workflow when an integration must forward or transform supported ingestion data, validate the envelope structure and item types, protect DSNs as ingestion credentials, and enforce payload-size and error-handling policies. Official Sentry SDKs remain the normal choice for application instrumentation.

Implementation sequence

Receive or construct the supported ingestion request
Validate the DSN context and envelope structure
Inspect event, session, transaction, or attachment items
Apply filtering and payload-size rules
Forward the request to the appropriate Sentry endpoint
Record the outcome and handle retryable responses

Sentry Event and Analytics Queries

Sentry exposes API and product capabilities for querying event and issue data, including Discover-style queries. Results are subject to permissions, query limits, time ranges, organization configuration, and pagination behavior.

Martini implementation pattern

Martini implementation pattern: schedule a workflow to execute narrowly scoped queries, use a stored timestamp or cursor where supported, transform the returned observations into reporting or operational records, and avoid treating Sentry as a directly accessible database.

Implementation sequence

Start the workflow on a controlled schedule
Build a bounded query for the organization or project
Retrieve results within the supported time range
Apply pagination and query-limit handling
Transform observations into the reporting model
Persist results and advance the checkpoint

Common Sentry integration patterns

Pattern 1: Sync Sentry issues to ServiceNow incidents

When to use this pattern

Use this pattern when production errors or performance problems must become governed incidents. A supported Sentry callback can provide near-real-time notification, while scheduled REST queries provide reconciliation for missed or selective notifications.

Integration direction
Sentry
Martini
ServiceNow
Example Mapping
Sentry FieldCanonical FieldTarget Field
issue.idexternalIssueIdcorrelation_id
titlesummaryshort_description
project.slugapplicationcmdb_ci
levelseveritypriority
Martini implementation pattern

Martini receives a supported webhook or retrieves Issues, enriches incomplete payloads through the Sentry REST API, validates project and environment, and checks the Sentry Issue ID before creating or updating a ServiceNow incident. Retryable API failures use bounded retries, while duplicate callbacks are safely ignored.

Martini capabilities used
  • workflows
  • webhook consumption
  • API consumption
  • data mapping
  • business rules
  • error handling

Pattern 2: Correlate Sentry releases and regressions with GitHub

When to use this pattern

Use this pattern to connect deployment activity with Sentry Releases and identify regressions after a deployment. Consistent release naming and commit metadata are essential when multiple projects or environments are involved.

Integration direction
GitHub
Martini
Sentry
Example Mapping
Sentry FieldCanonical FieldTarget Field
deployment.iddeploymentIdrelease.deployment_id
commit.shacommitIdentifierrelease.commits
release.namereleaseNamerelease.version
issue.idregressionIssueIdgithubIssue.external_reference
Martini implementation pattern

Martini receives or polls GitHub deployment information, normalizes release and commit identifiers, calls Sentry's REST API to associate release data, then queries for regressions. Business rules can create or update GitHub issues only for selected projects, environments, and severities, with idempotency based on Sentry Issue IDs.

Martini capabilities used
  • workflow orchestration
  • REST API consumption
  • mapping and transformation
  • business rules
  • scheduled synchronization
  • deduplication

Pattern 3: Route Sentry issue notifications to collaboration channels

When to use this pattern

Use this pattern when engineering teams need concise, filtered notifications rather than every raw Sentry Event. Issue-level routing reduces volume and can direct messages by project, environment, Team, or severity.

Integration direction
Sentry
Martini
Slack
Example Mapping
Sentry FieldCanonical FieldTarget Field
issue.titlenotificationTitlemessage.title
project.nameapplicationmessage.project
environmentdeploymentEnvironmentmessage.environment
permalinksourceUrlmessage.link
Martini implementation pattern

Martini receives supported Sentry notifications or queries selected Issues, enriches the message with ownership and release data, applies channel-routing rules, and sends a formatted notification to Slack or Microsoft Teams. Issue ID and state are retained to prevent repeated messages.

Martini capabilities used
  • webhook consumption
  • API consumption
  • data mapping
  • conditional routing
  • error handling

Pattern 4: Synchronize filtered Sentry data for reporting

When to use this pattern

Use this pattern when a reporting store or operational dashboard needs selected Issues, Events, Releases, or Monitor data without ingesting the full volume of Sentry telemetry.

Integration direction
Sentry
Martini
Database
Example Mapping
Sentry FieldCanonical FieldTarget Field
event.eventIDeventIdsentry_event_id
issue.firstSeenfirstSeenAtfirst_seen_at
release.versionreleaseNamerelease_version
project.slugprojectKeyproject_key
Martini implementation pattern

A scheduled Martini workflow executes bounded Sentry REST or analytics queries, follows pagination, filters by project, environment, severity, and time window, transforms nested payloads into reporting tables, and stores a cursor or timestamp. Rate limits and transient failures are retried without advancing the checkpoint prematurely.

Martini capabilities used
  • scheduler triggers
  • REST API consumption
  • data mapping
  • JSON handling
  • database connectivity
  • retry and checkpoint handling

Applications commonly integrated with Sentry

Sentry data is commonly connected to engineering work management, collaboration, incident response, source control, and observability platforms. Martini can mediate these flows so Sentry identifiers, project context, release metadata, and issue state are consistently mapped and deduplicated.

Application Scenario Direction Martini Pattern
Jira Convert Sentry issues and regressions into engineering work items and synchronize relevant status or ownership information. Sentry → Martini → Jira Consume Sentry Issues through supported webhooks or scheduled REST queries, map project, environment, severity, release, team, and permalink fields, then create or update Jira issues using stable Sentry Issue IDs.
Slack Deliver concise issue, alert, and deployment notifications to engineering channels. Sentry → Martini → Slack Receive supported Sentry callbacks or query selected Issues, apply routing rules by project and environment, transform the result into a channel message, and suppress duplicate issue-state notifications.
Microsoft Teams Send production error and performance notifications to engineering or incident-response channels. Sentry → Martini → Microsoft Teams Normalize supported Sentry notifications in a Martini workflow, enrich them with release and ownership data from the REST API, and deliver formatted messages to the configured Teams endpoint.
PagerDuty Escalate selected high-priority Sentry problems to on-call responders. Sentry → Martini → PagerDuty Filter Sentry issue or alert information by severity, environment, and project, use the Sentry Issue ID as an external key, and create or update the corresponding PagerDuty incident with retry handling.
ServiceNow Create and manage incidents from production errors, regressions, or availability problems. Sentry → Martini → ServiceNow Receive a supported Sentry callback or poll Issues, validate required fields, map issue and event context to a ServiceNow incident, and synchronize updates using an idempotency key.
GitHub Associate releases and commits with Sentry data and create engineering issues for regressions. GitHub → Martini → Sentry Receive or retrieve GitHub deployment metadata, normalize release names and commit identifiers, update Sentry Releases through its REST API, and query regressions for optional feedback to GitHub.
Opsgenie Route selected Sentry alerts to on-call schedules and escalation policies. Sentry → Martini → Opsgenie Filter supported Sentry notifications by project, severity, and environment, map ownership and Sentry URLs to an Opsgenie alert, and use stable identifiers to prevent duplicate alerts.
Datadog Correlate Sentry errors with infrastructure, logs, and service telemetry. Sentry → Martini → Datadog Query or receive selected Sentry issue and release information, normalize service and environment dimensions, and forward only the required context to Datadog while preserving Sentry traceability.

How to build a Sentry integration in Martini

Objective

Establish Sentry access with credentials appropriate to the integration purpose.

Instructions in Martini

  • Store an organization or project-scoped Sentry API token in Martini secrets or environment configuration.
  • Use a project DSN only for event ingestion scenarios.
  • Configure downstream credentials separately and apply least-privilege access.

Objective

Select an event-driven or scheduled starting point based on Sentry coverage and synchronization needs.

Instructions in Martini

  • Use a supported Sentry webhook for selected real-time notifications.
  • Use a scheduler for broad Issue, Event, Release, Team, or Monitor synchronization.
  • Use an API endpoint when another system must initiate the workflow.

Objective

Receive the callback or retrieve the current Sentry resource needed for reliable processing.

Instructions in Martini

  • Validate incoming webhook requests before processing them.
  • Call the Sentry REST API when a notification contains only a partial payload.
  • Follow pagination and apply bounded time, project, environment, or severity filters.

Objective

Coordinate enrichment, validation, routing, and downstream calls in a maintainable Martini workflow.

Instructions in Martini

  • Preserve Sentry Organization, Project, Issue, Event, Release, Team, and Monitor identifiers.
  • Separate issue-level operational processing from high-volume raw event processing.
  • Use conditional routing for target applications and notification channels.

Objective

Convert Sentry payloads into canonical and target-specific models.

Instructions in Martini

  • Map severity, status, environment, project, release, ownership, timestamps, tags, and permalinks.
  • Tolerate optional nested fields and retain the original Sentry identifier for traceability.
  • Normalize release names and deployment identifiers before correlation.

Objective

Control what is forwarded and ensure repeated notifications do not create duplicate downstream records.

Instructions in Martini

  • Use Sentry Issue IDs, Event IDs, Release identifiers, or Monitor slugs as external keys.
  • Filter by project, environment, severity, status, or time range.
  • Validate required fields before creating incidents, tickets, or alerts.

Common Sentry data objects used in integrations

ObjectTypical UseCommon target systemsMartini handling
OrganizationsRepresent the top-level Sentry account containing Projects, Teams, Releases, and members.Identity administration, reporting stores, ITSM platformsMartini retrieves organization data through scoped REST requests and maps organization identifiers into a canonical ownership model.
ProjectsRepresent monitored applications and define where events are received and configured.ServiceNow, Jira, CMDBs, reporting platformsMartini uses Project identifiers, names, environments, and ownership fields to route downstream records and notifications.
IssuesRepresent grouped errors or performance problems assembled from related Events.Jira, ServiceNow, PagerDuty, Slack, Microsoft TeamsMartini treats Issue IDs as stable external keys, maps status and severity, and synchronizes selected issue lifecycle changes.
EventsRepresent individual error, transaction, replay, or performance observations.Data stores, analytics platforms, incident workflowsMartini consumes filtered event data where appropriate, preserves Event IDs, and avoids forwarding high-volume raw events when issue-level processing is sufficient.
ReleasesRepresent application versions used to associate events with deployments and track regressions.GitHub, Jira, deployment reporting, data warehousesMartini normalizes release names and deployment identifiers, associates releases with projects, and applies regression-routing rules.
TeamsRepresent groups of Sentry users responsible for Projects and issue ownership.ServiceNow, Jira, PagerDuty, collaboration platformsMartini uses Team information for routing, assignment, enrichment, and ownership synchronization.

Authentication and security considerations

Use the correct Sentry credential

Use a scoped organization or project token for REST API access and store it in Martini secrets or secure environment configuration. Use a project DSN for event ingestion, not for administrative API operations.

Apply least privilege

  • Restrict API tokens to the organizations, projects, and operations required by the workflow.
  • Do not expose Sentry tokens or DSNs through public Martini API responses.
  • Keep ingestion credentials separate from management credentials.

Protect callbacks

Validate Sentry webhook authenticity according to the configured integration, restrict methods and content types, and use replay protection where applicable. Validate the payload before starting longer downstream processing.

Operational considerations for Sentry integrations

Pagination and rate limits

Sentry list and query endpoints may paginate results and impose limits based on organization, project, token, endpoint, or plan. Follow response metadata, use bounded queries, and handle HTTP 429 responses with backoff.

Volume and filtering

Raw Events can be high volume. Prefer Issue-, alert-, release-, or monitor-level processing when the business process concerns incidents, and filter by project, environment, severity, release, and time range.

Idempotency and retries

Webhook delivery may repeat. Use stable Sentry identifiers rather than issue titles, check downstream state before creating records, and retry transient failures without advancing a synchronization checkpoint prematurely.

Schema and payload changes

Event payloads can contain optional, nested, or product-specific fields. Validate required fields, tolerate missing tags, preserve source identifiers and URLs, and test mappings against representative payloads.

Release and attachment handling

Use consistent release naming across CI/CD and Sentry. Apply request-size limits to envelopes and attachments, and preserve attachment references when downstream systems cannot accept binary content.

Why use Martini instead of scripts or point-to-point integrations?

Orchestrate beyond a single API call

Scripts often combine authentication, pagination, filtering, mapping, retries, and downstream updates in code that is difficult to govern. Martini organizes this behavior in reusable workflows and APIs.

Separate notification from reconciliation

Martini can process supported Sentry callbacks for timely notifications while scheduled workflows reconcile REST API data. This reduces dependence on selective webhook coverage and improves operational completeness.

Make mappings maintainable

Mappings, validation, business rules, checkpoints, and error paths can be managed as explicit integration logic. This supports consistent routing of Sentry Issues, Events, Releases, Teams, and Monitors to different enterprise targets.

Centralize security and operations

Secrets, authentication, retries, logging, and workflow monitoring are handled as part of the integration runtime rather than duplicated across point-to-point scripts.

Frequently asked questions

How can Sentry be integrated with enterprise systems?

Sentry can integrate through its documented REST API, SDK and DSN-based event ingestion, envelope-based event transport, event and analytics queries, and selective webhook-style notifications. REST APIs are the primary mechanism for querying and managing Organizations, Projects, Issues, Events, Releases, Teams, Monitors, and related resources.

Can Martini integrate with Sentry?

Yes. Martini can consume Sentry REST APIs, receive supported Sentry webhook callbacks, process selected event or envelope requests, map Sentry objects, and orchestrate synchronization with enterprise applications. A dedicated native Martini Sentry connector is not established in the supplied documentation.

Do I need a connector to integrate Sentry with Martini?

No. A dedicated Sentry connector is not required. Martini can integrate using Sentry's confirmed native REST APIs, webhook-style callbacks, event ingestion or envelope mechanisms, authentication methods, and documented query endpoints.

Is there any extra Lonti cost to integrate Sentry with Martini?

Lonti does not charge an additional per-connector or per-vendor fee to integrate Sentry. The integration is subject to the provisioned capacity of the Martini environment. Separate costs may apply from Sentry, cloud infrastructure, or other third-party systems depending on subscriptions, usage, and deployment model.

Which Sentry integration methods should a new implementation use?

Use the Sentry REST API for resource management, synchronization, and filtered queries. Use supported webhooks for selected near-real-time integration events, and use SDKs or DSNs for application telemetry ingestion. Envelopes are appropriate for supported batched event-related ingestion, not general CRUD synchronization.

Are Sentry webhooks available for every event or issue change?

No. Sentry webhook coverage is selective and depends on the integration configuration, supported action, and event category. For broad synchronization, use scheduled REST API queries with pagination and a stored cursor or timestamp where supported.

How does Martini synchronize Sentry data reliably?

Martini can combine supported callbacks with scheduled REST reconciliation. Workflows follow pagination, use bounded queries, store synchronization checkpoints, and use stable identifiers such as Issue IDs, Event IDs, Release identifiers, or Monitor slugs for idempotency and deduplication.

How are Sentry data mapping, errors, and retries handled?

Martini maps nested Sentry payloads into canonical and target-specific models, validates required fields, and applies routing rules for project, environment, severity, release, and ownership. Workflows can handle rate-limit responses with bounded backoff, retry transient failures, preserve checkpoints, and route invalid or permanently failed messages for investigation.

Related Martini documentation

APIs

Workflows

Data processing

Security

Operations

Connect Sentry with your enterprise systems

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