LaunchDarkly connector
Automate Feature Flag Management and Deployment Workflows with LaunchDarkly
Connect LaunchDarkly to your CI/CD pipelines, monitoring tools, and team communication systems to ship features safely and at scale.
What can you do with the LaunchDarkly connector?
LaunchDarkly is a feature management platform that lets engineering and product teams control feature rollouts, run experiments, and change configuration without deployments. Connecting LaunchDarkly to your broader toolchain means you can automatically toggle flags based on error rates, sync flag states to your data warehouse, and keep stakeholders informed about what's live in production. With tray.ai, you can orchestrate complex feature release workflows across your entire stack — Jira tickets, Datadog alerts, Slack notifications, all of it.
Automate & integrate LaunchDarkly
Automating LaunchDarkly business process or integrating LaunchDarkly data is made easy with tray.ai
Use case
Automated Feature Rollback on Error Spike Detection
When your observability platform detects a spike in error rates or latency after a deployment, tray.ai can automatically trigger a LaunchDarkly flag toggle to disable the offending feature without human intervention. This closed-loop automation cuts mean time to recovery and protects user experience even outside business hours. Engineering teams can actually deploy on Fridays knowing a safety net is in place.
Use case
Progressive Rollout Orchestration Tied to CI/CD Pipelines
Coordinate LaunchDarkly percentage rollouts with your CI/CD pipeline stages so each deployment automatically advances the flag from 5% to 25% to 100% based on health checks passing. tray.ai listens to pipeline events from GitHub Actions or CircleCI and updates targeting rules in LaunchDarkly accordingly. That removes the manual gatekeeping step between deployment and feature enablement.
Use case
Syncing Feature Flag States to Data Warehouse for Experimentation Analysis
LaunchDarkly experiments generate useful A/B testing data, but correlating flag states with business metrics means getting that data into your analytics stack. tray.ai can periodically export LaunchDarkly flag evaluation events and experiment results into Snowflake, BigQuery, or Redshift so data teams can join feature exposure data with revenue and engagement metrics. No custom pipelines for engineers to build and maintain.
Use case
Jira Ticket to Feature Flag Lifecycle Management
When a Jira story or epic transitions through development stages, tray.ai can automatically create corresponding LaunchDarkly flags, update targeting configurations, and archive stale flags when tickets are closed. Keeping your project management workflow and feature flag lifecycle in sync reduces flag debt and ensures flags are always traceable to a business requirement. Product managers get a clear view of which features are under flags without leaving Jira.
Use case
Stakeholder Notifications for Flag State Changes
Keeping product managers, customer success teams, and executives informed about which features are live for which customer segments is a constant communication headache. tray.ai monitors LaunchDarkly flag changes and automatically posts structured updates to Slack channels or Microsoft Teams — what changed, who changed it, and which user segments are now targeted. Non-technical stakeholders get a living change log they can actually read.
Use case
Customer Segment Targeting Sync from CRM Data
Sales and customer success teams often need specific enterprise customers to get early access to new features, but translating that business intent into LaunchDarkly targeting rules requires engineering involvement. tray.ai syncs customer attributes from Salesforce or HubSpot directly into LaunchDarkly user contexts and segment definitions, so CRM-defined customer tiers automatically map to feature access. Go-to-market teams can manage feature access without opening support tickets to engineering.
Use case
Kill Switch Automation for Compliance and Security Incidents
During a security incident or compliance audit, you may need to immediately disable a set of features across all environments. tray.ai can trigger bulk flag disablement workflows when alerts fire from your SIEM, security scanning tools, or even manually via a Slack command — giving you a coordinated, documented response. This matters most for teams in regulated industries where feature availability decisions have to be auditable.
Build LaunchDarkly Agents
Give agents secure and governed access to LaunchDarkly through Agent Builder and Agent Gateway for MCP.
Data Source
Look Up Feature Flag Status
An agent can retrieve the current state of any feature flag, including targeting rules, variations, and enabled/disabled status across environments. This lets the agent make context-aware decisions based on what features are actually active in production or staging.
Data Source
List All Feature Flags
An agent can fetch a complete list of feature flags for a project, including their configurations and metadata. Handy for audits, tracking rollout progress, or spotting flags that need cleanup.
Data Source
Get Flag Evaluation Details
An agent can pull targeting rules and segment configurations to understand how a flag evaluates for specific users or contexts. Useful for diagnosing unexpected behavior or confirming that rollout logic is set up correctly.
Data Source
Retrieve Environment Configurations
An agent can access details about LaunchDarkly environments like production, staging, and QA so it knows which flags to touch and where. No more toggling the wrong flag in the wrong environment.
Data Source
Monitor Flag Change History
An agent can query audit logs and change history for feature flags to see who changed what and when. Useful for incident investigations or compliance reporting.
Agent Tool
Toggle Feature Flags
An agent can turn feature flags on or off in a specified environment in response to triggers like deployment events or incident alerts. That means automated rollbacks or controlled releases without anyone having to jump in manually.
Agent Tool
Update Targeting Rules
An agent can modify flag targeting rules to adjust rollout percentages, add user segments, or change variation assignments. Good for gradual rollouts and targeted testing that need to react to workflow conditions without manual edits.
Agent Tool
Create Feature Flags
An agent can create new feature flags with defined variations and targeting configurations as part of a CI/CD or release workflow. This cuts down on manual setup and keeps flag structure consistent across projects.
Agent Tool
Manage User Segments
An agent can create or update user segments in LaunchDarkly to group users by attributes for targeted flag evaluations. Hook it up to CRM data or behavioral signals and your audience definitions stay current without anyone touching them by hand.
Agent Tool
Archive or Delete Stale Flags
An agent can identify and archive or delete feature flags that are no longer in use, keeping the flag inventory clean. Good for technical debt reduction workflows triggered on a schedule or after deployment milestones.
Agent Tool
Update Flag Variations
An agent can update the available variations of a feature flag, such as changing string values or JSON payloads used in multivariate tests. Useful when experiments are managed through automated pipelines and variation configs need to change without a manual pull request.
Get started with our LaunchDarkly connector today
If you would like to get started with the tray.ai LaunchDarkly connector today then speak to one of our team.
LaunchDarkly Challenges
What challenges are there when working with LaunchDarkly and how will using Tray.ai help?
Challenge
Managing Flag Lifecycle Across Rapidly Growing Flag Inventories
As engineering teams scale, LaunchDarkly flag inventories get unwieldy — hundreds of stale, poorly named, or undocumented flags that create cognitive overhead and real risk. Without automation, flags linger in production long after the feature they gated has fully launched, and no one knows which ones are safe to remove.
How Tray.ai Can Help:
tray.ai can enforce a flag lifecycle policy by automatically checking flags against linked Jira tickets or deployment records, then archiving those that have been fully rolled out or whose associated work is complete. Scheduled workflows can generate weekly flag debt reports and route them to the responsible engineering team.
Challenge
Coordinating Flag Rollouts Across Multiple Environments and Services
Enterprise engineering teams often run multiple LaunchDarkly environments mapping to dev, staging, and production. Keeping flag states coordinated across them during a rollout requires careful orchestration that manual processes can't maintain consistently.
How Tray.ai Can Help:
tray.ai lets you build multi-step workflows that promote flag configurations from one LaunchDarkly environment to the next only after specific gates are passed — automated test suites, approval in a change management tool, or a time-based delay — giving you consistent and auditable environment progression.
Challenge
Connecting Feature Exposure Data to Business Outcome Metrics
LaunchDarkly captures rich flag evaluation data, but connecting it to downstream metrics like conversion rate, revenue, or support ticket volume typically requires custom engineering work to build and maintain data pipelines into the analytics stack.
How Tray.ai Can Help:
tray.ai has pre-built connectors to Snowflake, BigQuery, Redshift, and Looker, so teams can build automated pipelines that export LaunchDarkly experiment and evaluation data on a schedule. No custom ETL code required — data teams get clean, queryable data in their preferred warehouse.
Challenge
Bridging the Gap Between Non-Technical Stakeholders and Flag Management
Product managers and customer success managers often need to understand or influence which features are enabled for specific customer segments, but making changes in LaunchDarkly requires technical knowledge and creates a bottleneck on engineering teams who have to translate business requests into targeting rules.
How Tray.ai Can Help:
tray.ai can expose simplified interfaces for non-technical teams — a form, a Slack command, or a Salesforce field update — that trigger well-defined, validated LaunchDarkly targeting changes. LaunchDarkly configuration stays consistent while go-to-market teams can act on customer needs without pulling in engineering.
Challenge
Maintaining Compliance Audit Trails for Feature Changes in Regulated Industries
In fintech, healthcare, and insurance, every change to what features are enabled for which users has to be logged, attributed, and retrievable for audits. LaunchDarkly's native audit log is comprehensive, but getting that data into compliance systems or SIEM tools requires additional integration work.
How Tray.ai Can Help:
tray.ai can continuously stream LaunchDarkly audit log events into your SIEM, ITSM, or data warehouse, enriching each event with additional context — the linked Jira ticket, the deployment that triggered the change, the approver identity. The result is a complete, cross-system audit trail that satisfies compliance requirements without manual reporting.
Talk to our team to learn how to connect LaunchDarkly with your stack
Find the tray.ai connector with one of the 700+ other connectors in the tray.ai connector library to integrate your stack.
Integrate LaunchDarkly With Your Stack
The Tray.ai connector library can help you integrate LaunchDarkly with the rest of your stack. See what Tray.ai can help you integrate LaunchDarkly with.
+Slack & LaunchDarkly
Learn how to integrate Slack and LaunchDarkly together
+Jira & LaunchDarkly
Learn how to integrate Jira and LaunchDarkly together
+Datadog & LaunchDarkly
Learn how to integrate Datadog and LaunchDarkly together
+GitHub & LaunchDarkly
Learn how to integrate GitHub and LaunchDarkly together
Start using our pre-built LaunchDarkly templates today
Start from scratch or use one of our pre-built LaunchDarkly templates to quickly solve your most common use cases.
LaunchDarkly Templates
Find pre-built LaunchDarkly solutions for common use cases
Template
Datadog Alert → LaunchDarkly Flag Toggle → Slack Incident Notification
Automatically disables a LaunchDarkly feature flag when a Datadog monitor enters an alert state, then posts a detailed incident notification to a Slack channel with the flag name, trigger metric, and rollback confirmation.
Steps:
- Receive webhook from Datadog when a monitor breaches its error rate or latency threshold
- Look up the associated LaunchDarkly flag name from a mapping stored in tray.ai or a configuration sheet
- Disable the target flag via the LaunchDarkly REST API for the affected environment
- Post a structured alert to the designated Slack incident channel with flag details and a link to the LaunchDarkly audit log
Connectors Used: LaunchDarkly, Datadog, Slack
Template
GitHub Actions Deployment → Progressive LaunchDarkly Rollout
Listens for successful deployment events from GitHub Actions and incrementally advances a LaunchDarkly flag rollout percentage through predefined stages after each health check passes.
Steps:
- Receive a deployment success webhook from a GitHub Actions workflow
- Update the LaunchDarkly flag targeting rule to increase rollout percentage from the current stage to the next
- Wait a configured stabilization period and check error rates via an API call to the monitoring tool
- If health checks pass, continue advancement; if they fail, trigger a PagerDuty alert and halt rollout
Connectors Used: LaunchDarkly, GitHub, PagerDuty
Template
Jira Issue Closed → Archive Stale LaunchDarkly Flags
When a Jira issue linked to a feature flag is marked Done, automatically identifies and archives the associated LaunchDarkly flag to reduce flag debt and keep the flag dashboard clean.
Steps:
- Trigger on Jira issue transition to Done status using Jira webhooks
- Extract the LaunchDarkly flag key from a custom Jira field or issue label
- Check that the flag is serving 100% on or off in all environments before archiving
- Archive the flag via the LaunchDarkly API and post a summary to the team's Slack channel
Connectors Used: LaunchDarkly, Jira, Slack
Template
Salesforce Account Tier Update → LaunchDarkly Segment Sync
Keeps LaunchDarkly targeting segments in sync with Salesforce account tiers so enterprise customers automatically gain access to beta features when their CRM record is updated.
Steps:
- Trigger on Salesforce account field update when the Account Tier or Beta Access field changes
- Retrieve the updated account's user identifiers and attributes from Salesforce
- Upsert the user context in LaunchDarkly with the new tier attribute
- Update or create the corresponding LaunchDarkly segment rule to include or exclude the account based on tier
Connectors Used: LaunchDarkly, Salesforce, HubSpot
Template
LaunchDarkly Flag Change Audit Log → Snowflake Data Pipeline
Continuously syncs LaunchDarkly audit log events and flag evaluation summaries into a Snowflake table to support experiment analysis and compliance reporting.
Steps:
- Poll the LaunchDarkly Audit Log API on a scheduled interval to retrieve recent flag change events
- Transform and normalize event payloads into a structured schema matching the Snowflake target table
- Upsert records into the Snowflake audit events table with deduplication on event ID
- Optionally write a summary of daily flag changes to a Google Sheet for non-technical stakeholder review
Connectors Used: LaunchDarkly, Snowflake, Google Sheets
Template
Slack Slash Command → Emergency Kill Switch for LaunchDarkly Flags
Allows authorized team members to disable one or multiple LaunchDarkly flags instantly via a Slack slash command, with an approval gate and full audit trail.
Steps:
- Receive a Slack slash command such as /killflag [flag-key] [environment] from an authorized user
- Post an interactive Slack message requesting a second approver to confirm the action
- Once confirmed, disable the specified flag via the LaunchDarkly API and log the action with requester details
- Notify the on-call PagerDuty responder and post a confirmation in the incident channel with a timestamp
Connectors Used: LaunchDarkly, Slack, PagerDuty