Cloud-based developer platform

Project Challenge

The developer platform of a large business unit (~ 200 developers) should be accessible for other business units. The extension project serves as model for a cross-company cloud-based developer platform (~ 20.000 employees with a high percentage of external IT specialists). This implied to enhance the access of a single-site platform in southern Germany for teams throughout Europe while ensuring compliance:

• Ensuring segregation enforced by legal requirements - data from one nation may not be exposed to another project.
• Building up a support desk that is able to "onboard project" within a few days, targeting a few hours.
• Integration of external services that new teams (from other business units) bring in.
• Starting a local cloud service and moving services into it.
• Stabilizing a VMware-based sandbox environment for regular updates and enforced OS hardening.
• Migration of several project workspaces from individual team instances to the IT managed tool stack.

Solution Provided

• Definition of a role-group concept to be pushed through Crowd to all platform applications ensuring segregation.
• "Onboarding project" concept including questionnaires that allow for base applications like JIRA / Confluence / Bitbucket to be handled in minutes by the service desk.
• Independence from back-office VMware provisioning by moving per-project services (e.g. Jenkins, Sonarqube) into Kubernetes clusters.
• Integration of the self-managed Kubernetes clusters for general one shot slave usage by teams and supporting them to change their builds.
• Migration / integration support for existing Jenkins jobs and source code in Subversion, ClearCase.
• Support for company strategy group with their global hybrid cloud (was OpenShift, to be AzureStack).
• Going multi-site to help teams in other nations, including Nexus services with proxy entries spread over sites.
• Starting an automated test suite to support regular (at least monthly) updates of all developer support application servers.
• Analysis, planning and automated merges of data from team instances using Mitlas, the service for accelerated Atlassian tool consolidation on a central data center instance without business interrupts.

Function overview of the stack.

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