Sync Azure Synapse analytics with Jira engineering workflows automatically. Stop manually exporting data quality reports, copying performance metrics into tickets, or chasing down deployment analytics across systems.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Monitor ETL pipeline error rates and data quality metrics in Synapse. When failures spike or SLA violations occur, automatically create prioritized Jira tickets with full context, pipeline logs, and affected datasets for immediate engineering response.
Capture sprint completion data, release timestamps, and deployment events from Jira into Synapse analytical tables. Combine engineering velocity with product usage data for unified reporting on feature impact and delivery performance.
When high-priority bugs are logged in Jira, query Synapse for affected user counts, revenue impact, and error frequency from production telemetry. Automatically append analytics context to tickets so teams prioritize based on real data impact.
Run scheduled Synapse queries analyzing query performance, storage costs, and resource utilization. Create or update Jira issues with formatted analytics reports, cost trends, and optimization recommendations for platform engineering teams.
When sprints close or releases complete, automatically extract ticket metadata, cycle times, and completion metrics from Jira into Synapse. Build long-term historical datasets for engineering velocity trends and capacity planning models.
Monitor feature adoption metrics and user engagement in Synapse. Automatically comment on corresponding Jira epics with adoption rates, usage trends, and success metrics so product and engineering teams see real-world impact.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure Synapse and Jira with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands Azure Synapse analytical schemas and Jira project structures, so you can connect warehouse insights to engineering workflows without custom code.
Redbird maps Synapse dedicated SQL pools, Spark databases, and pipeline metadata to Jira projects, issue types, and custom fields. The AI reads your Synapse schema to identify relevant metrics, then structures them for Jira—whether that's appending analytics to bug descriptions, updating custom fields with impact scores, or creating tickets from warehouse alerts. No need to manually define field mappings or write transformation logic for every metric.
faster than exporting Synapse results and manually updating Jira tickets
Redbird can pull from Azure Synapse and Jira simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Azure Synapse or Jira.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Azure Synapse into Jira, or from Jira back into Azure Synapse. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start from any event in Azure Synapse or Jira—pipeline runs, query completions, ticket updates, or sprint changes.
Trigger when a Synapse integration pipeline finishes executing, whether successful or failed.
Monitor scheduled queries and trigger when result metrics exceed defined thresholds or anomalies.
Trigger when validation queries detect missing data, schema drift, or quality rule violations.
Execute a SQL query against dedicated pools or serverless endpoints and return structured results.
Initiate a Synapse integration pipeline execution with optional parameters.
Write workflow data into a Synapse table or external storage location.
Trigger when a bug or task is created with priority above a specified threshold.
Trigger when an agile sprint is marked complete in Jira.
Trigger when a ticket moves to a specific workflow status like 'In Review' or 'Deployed'.
Create a new Jira ticket with summary, description, priority, assignee, and custom fields.
Append a formatted comment with data, links, or analytics to an existing ticket.
Set values for custom fields on Jira issues, including numeric metrics or structured data.
Sync Azure Synapse analytics with Jira engineering workflows in minutes. Automate the data work between your warehouse and issue tracking so teams act on insights faster.