October 2025 saw a major upgrade cycle for atlan-java, delivering a major version bump with dependency updates, alongside targeted feature work and stability improvements. The team introduced Keycloak simplification, Dremio model integration, and subrole execution for workflows, while also tightening testing and CI to boost reliability and performance. These changes collectively improve forward compatibility, security posture, data modeling capabilities, and release velocity, with measurable gains in stability and observability.

September 2025: Delivered a stability and performance-focused sprint for atlan-java, including dependency upgrades, templating changes, robustness improvements, data product enhancements, and observability improvements. These changes reduced security and compatibility risks, improved data integrity, and enabled scalable workflows for data products, with measurable improvements to test performance and startup behavior.

Month: 2025-08. This report highlights delivered features and fixed bugs in atlanhq/atlan-java, emphasizing business value: improved security and compatibility through tooling upgrades, enhanced local development with experimental SDK support, performance and memory improvements, and stronger test reliability. Key outcomes include faster onboarding, lower MTTR, and more predictable data processing in production deployments.

July 2025 performance highlights for atlanhq/atlan-java. Delivered resilient data operations, expanded data formats, and strengthened security while maintaining build stability. Notable features include ephemeral datasets support with expression and query, ephemeral-network auto-retry, extended file types, S3 multipart uploads, and path validation for secure packages, complemented by a Netty upgrade and dependency hygiene. Major improvements in AI asset tooling and API capabilities were advanced through targeted model updates and YAML/OpenAPI loader enhancements. Quality and reliability were enhanced via linting fixes, test improvements, and Gradle build optimizations, supporting faster, safer releases.

June 2025 monthly summary for the atlan-java and atlas-metastore repositories. The team delivered a mix of feature work, reliability improvements, and readiness for future scale, with a clear focus on security, configuration correctness, data lineage quality, and performance. Key enhancements include Central Portal URL updates across publishing repos, S3 role-based authentication with explicit role-ARN pass-through, and expanded asset export capabilities with data product scores, subtype, and product GUIDs. Utilities for retrieving effective configuration values were added to simplify configuration management. Performance and reliability were improved through pre-caching of cyclical relationships, enhanced rate limiting and retry policies, and short-circuit parsing to speed up large processing paths. Observability and quality improvements include object store auth method logging, extensive integration test stabilization (explicit advanced mode in tests), linting fixes, and dependency/model updates to keep the codebase current.

Month: 2025-05 — Consolidated improvements across Atlan Java, focusing on extensibility, reliability, and developer experience. Delivered platform-ready features, tightened token/retry logic, and hardened asset import pipelines, while maintaining build/test stability and Kotlin interoperability.

April 2025 (2025-04) focused on modernizing the Atlan Java client with security, performance, and robustness enhancements. Delivered core platform upgrades, a Java 21-based toolchain refresh, and improvements to asset search/export capabilities, alongside key fixes that harden HTTP handling and category/domain imports. The work increased stability, data integrity, and developer productivity, enabling safer production deployments and faster iteration for further features.

March 2025 results for atlanhq/atlan-java focused on delivering robust asset relationship capabilities, improving test reliability, and enhancing admin data workflows. The month emphasized stability, performance, and governance-ready exports to accelerate release cycles and data-driven decisions.