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Build embedded dashboards and conversational analysis on shared business metrics.

Define shared metrics and joins as code for dashboards and data applications.

Run Ruby acceptance scenarios written in Gherkin and connect their steps to project code.

AI data analyst that answers questions in Slack, Microsoft Teams, email or the app

Inspect euro-area indicators with their statistical definitions

Prepare connected business data, define shared metrics and explore it through visual cloud analytics.

Define pull-request, build, and deployment jobs in screwdriver.yaml with pluggable execution engines.

Find economic time series by release, source or category

Centralize application and infrastructure logs for search, routing, dashboards, and alerts.

Validate Python data against typed models and generate matching JSON Schema.

Compare crypto protocol finances with clearly defined metrics

Meter product use and model subscription or credit pricing

Preview and deploy infrastructure changes through the same CI workflow as application code.

Design API specifications, send requests, generate mocks, run tests, and publish documentation in one project.

Organize and query industrial IoT time-series data across device and sensor paths.

Collect cloud workload telemetry and build monitors for Kubernetes and Linux environments.

Build Java pricing and risk calculations or run portfolio reports from files

Configure native-code builds in a separate build directory, then compile and run registered tests.

Keep Kubernetes applications in sync with their declared configuration in Git.

Matched regular and filled icons with shared framework definitions.

Build Python HTTP APIs with typed parameters and automatically generated OpenAPI documentation.

Build online ballots from question and option spreadsheets

Connected financial models, assumptions and shared planning workflows

Prepare marketing data once for reports, warehouses and measurement workflows.