the software development technologies (programming languages, frameworks, databases) used to build the latest JFrog Artifactory product, not the deployment architecture.

✅ Technologies Used to Develop JFrog Artifactory (Latest Versions)

1️⃣ Programming Languages

• Java – Core backend services and API layer are primarily written in Java (Artifactory started as a Java-based platform and still relies on it for core logic).
• Groovy – Used for internal scripting and plugin extensions.
• Go (Golang) – Some newer microservices and performance-critical components are being developed in Go for concurrency and speed.
• JavaScript / TypeScript – Frontend UI is built using modern JS/TS frameworks.

2️⃣ Frameworks & Libraries

• Spring Boot / Spring Framework – For REST APIs, service orchestration, and dependency injection.
• Hibernate / JPA – For ORM and database interaction.
• React / Angular (UI) – Newer UI versions are based on React with TypeScript, while older ones used AngularJS.

3️⃣ Databases & Storage

• PostgreSQL – Default metadata database for both self-hosted and cloud versions.
• MySQL / Oracle / MS SQL – Supported for on-prem enterprise setups.
• Object Storage – AWS S3, Azure Blob, GCP Storage for binaries in cloud versions.

4️⃣ Search & Indexing

• Elasticsearch / OpenSearch – Used for artifact metadata indexing and search capabilities.

5️⃣ Other Technologies

• gRPC + REST APIs – For internal microservices communication.
• Docker & Kubernetes – For packaging and deploying the Artifactory services themselves.
• Hazelcast / Redis – Used for distributed caching and clustering.
• NGINX / HAProxy – For load balancing and routing in HA setups.

✅ Summary

• Backend: Java (Spring Boot), Go (for microservices)
• Frontend: React + TypeScript (UI), AngularJS (legacy)
• Scripting: Groovy
• Database: PostgreSQL (primary), MySQL/Oracle supported
• Search: Elasticsearch/OpenSearch
• Cache: Hazelcast/Redis
• Packaging: Docker + Kubernetes for deployment