Space On-Premises

Space On-Premises provides a platform where team members can communicate, share information, and collaborate on projects. It removes the silos that are often inherent to organizations. Whether it’s developers, designers, management, or any other type of role, Space allows for people to be more productive and open up their full potential. As an alternative to using JetBrains Space as a service, you can get your own self-managed Space instance (or Space On-Premises). It implies that you install, manage, and maintain Space on your own.

An all-in-one solution for software teams

  • Everything in one place - Get a single, complete platform for the entire software development pipeline and team collaboration.
  • Distractions minimized - Receive the information relevant to you, and eliminate distractions and context switching by managing all of your notifications in integrated chats.
  • Remote development toolset - Streamline onboarding, store secure code, and work from anywhere, with any kind of laptop. Spin up a ready-to-go dev environment...

최신 뉴스

Space 업데이트
Space 업데이트
September 25, 2023신규 버전
Space 모바일 앱에 코드 검토 및 병합 요청 지원을 추가합니다.
Space On-Premises 2023.2
Space On-Premises 2023.2
July 7, 2023신규 버전
IDE 방식의 탐색, 문제 시점 추적 및 빌드 아티팩트 저장 기능을 추가합니다.
Space On-Premises 릴리스
Space On-Premises 릴리스
January 13, 2023신제품
팀 구성원이 의사 소통하고 정보를 공유하며 프로젝트에서 공동 작업할 수 있는 자체 호스팅 플랫폼입니다.

가격: ₩ 404,900

Organization Annual License: Unlimited applications, Unlimited custom issue fields and Unlimited searchable messages, 10 concurrent automation workers, 1 guest member per 4 registered, Enterprise...

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JetBrains
JetBrains사 제품의 배포자로서 공식 권한을 소유한 ComponentSource는 합법적인 라이선스를 고객님께 직접 제공합니다.

Docker Compose Installation

  • Host-machine platform: x86_64/amd64 or arm64.
  • Recommended host machine resources: 8 CPU cores, 12 GB memory.
  • Docker and Docker Compose 1.29.0 or later are installed on the host machine.

Kubernetes Installation

  • Kubernetes - Version 1.21 or later
  • Helm - Version 3.6.0 or later
  • Cluster workers - The cluster has at least five workers.
    • OS: Linux
    • Platform: x86_64/amd64
    • Recommended min resources: 4 CPU cores and 8GB memory

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