Develocity Reporting and Visualization

Develocity Reporting and Visualization aggregates build data across your organization and makes it available for trend analysis, performance monitoring, and custom SQL queries through Grafana dashboards. Two deployment paths are available: the Kubernetes-based Develocity Reporting Kit and an AWS-native pipeline using Amazon S3 and Amazon Athena.

Overview

Develocity includes built-in dashboards for inspecting individual builds and test results. Develocity Reporting and Visualization extends this with an analytics layer that aggregates build data across your organization for trend analysis, performance monitoring, and custom queries.

Both pipeline options export build data from Develocity using its API, store it in a local or cloud data store, and expose it through Grafana dashboards. Select the pipeline that matches your existing infrastructure.

The Develocity Analytics MCP Server is an add-on that works with either pipeline to enable AI-assisted querying of aggregate build data.

Components

Develocity Reporting Kit

The Develocity Reporting Kit is a Kubernetes-based application that exports Develocity build data and provides pre-built Grafana dashboards for analysis. Install it in a Kubernetes cluster or on a dedicated host running K3s. For details, see the Develocity Reporting Kit Installation Manual.

Develocity Reporting via Amazon Athena

The Amazon Athena integration exports Develocity build data to Amazon S3, where you can query it with Amazon Athena and visualize it in Grafana. For details, see the Develocity Reporting via Amazon Athena User Manual.

AI-Assisted Querying

The Develocity Analytics MCP Server connects your Reporting and Visualization data to any MCP-enabled AI client. Use it to query build trends and patterns using natural language. It requires either the Develocity Reporting Kit 2.1 or later, or Develocity 2025.4 or later with Athena Data Export enabled. For details, see the MCP Servers.

Choosing a Deployment Option

Select the components that match your infrastructure:

For a self-hosted solution running in your own Kubernetes cluster, install the Develocity Reporting Kit.
If your organization uses AWS for analytics infrastructure, start with Develocity Reporting via Amazon Athena.
Add the Develocity Analytics MCP Server on top of either pipeline to enable AI-assisted querying.