Automated software delivery
Automation essentials for achieving digital innovation, cloud native transformations and application modernization
Automated software delivery with GitLab will help you adopt cloud native, Kubernetes and multi-cloud with ease, achieve faster velocity with lower failures and improve developer productivity by eliminating repetitive tasks.
Why automated software delivery?
Scale your SDLC for cloud native adoption
Eliminate click-ops, introduce checks and balances essential for cloud native adoption.
Every change is releasable
More testing, errors detected earlier, less risk.
Improve developer experience
Minimize repetitive tasks, focus on value generating tasks.
How to automate your software delivery process
To deliver higher quality applications, developers need a tool that doesn't require constant maintenance. They need a tool they can trust.
Continuous change management
Coordinate, share and collaborate across your software delivery team to delivery business value faster
- Enterprise-ready Source Code Management
- Track every change - code for application, infrastructure, policies, configurations
- Control every change - code owners, approvers, rules
- Distributed version control for geographically distributed teams
Continuous integration and verification
Accelerate your digital transformation by building high-quality applications, at scale.
- Code, build, test automation to incrementally build & test every change
- Less risk by detecting errors early
- Scale with parallel builds, merge trains
- Collaborate across projects with multi project pipeline
On-demand environments with GitOps
Create repeatable and stable environments by minimize risk of manual infrastructure configurations and click-ops.
- Automate infrastructure to release faster
- Recover from errors faster
- Choice of push or pull configurations
- Secure Kubernetes cluster access to avoid exposing your cluster
Continuous delivery
Automate your application release process to make software delivery repeatable and on-demand.
- Make every change ‘releasable’
- Progressively deploy changes to minimize disruption
- Get feedback faster by testing changes on a subset of users
