GitLab
vs
Ansible
Decision Kit
Decision Kit
Ansible is an automation language and tool that can be used for configuration management and infrastructure provisioning. It enables deployment and maintenance of state for large scale infrastructure. Ansible excels as managing legacy infrastructure like physical servers and VMs. Although Ansible provides container support with Docker integration, Ansible does not implement Kubernetes natively and instead relies on a module to support Kubernetes.
GitLab is a complete DevOps platform, delivered as a single application that includes not only configuration management, but also capabilities for project management, source code management, CI/CD, and monitoring. GitLab is designed for Kubernetes and cloud native applications.
GitLab can be used together with Ansible to enable VM and bare metal configuration management. For Cloud Native applications run on Kubernetes, Ansible is not required and GitLab can provide all the functionality natively.
Feature Comparison
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AD / LDAP integration
Sync groups, manage SSH-keys, manage permissions, authentication and more. You can manage an entire GitLab instance through the LDAP / AD integration. |
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Cloud Native
GitLab and its CI/CD is Cloud Native, purpose built for the cloud model. GitLab can be easily deployed on Kubernetes and used to deploy your application to Kubernetes with support out of the box. |
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Auto DevOps
Auto DevOps brings DevOps best practices to your project by automatically configuring software development lifecycles by default. It automatically detects, builds, tests, deploys, and monitors applications. |
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Deploy Boards
GitLab Premium ships with Deploy Boards offering a consolidated view of the current health and status of each CI/CD environment running on Kubernetes. The status of each pod of your latest deployment is displayed seamlessly within GitLab without the need to access Kubernetes. |
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Canary Deployments
GitLab Premium can monitor your Canary Deployments when
deploying your applications with Kubernetes. Canary Deployments can be configured directly through |
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Configuration Modeling
CM modeling is the concept to consolidate the interactions between IT service assets, configuration items and infrastructure. Shows the interaction and relationship of services, infrastructure, and assets with each other, it will ease to find the root cause of an incident and problem. |
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Configuration Automation
Configure Management automation is used to make the server reach a desirable state, previously defined by provisioning scripts using a tool’s specific language and features ensuring that every system you’re responsible for is configured accurately and consistently. |
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Configure Monitoring
CM monitoring includes the process of recording and reporting configuration item descriptions (e.g., hardware, software, firmware, etc.) and all departures from the baseline during design and production. In the event of discovered problems, the verification of baseline configuration and approved modifications can be quickly determined. |
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Configure Governance
CM governance is a review that assesses compliance with established performance requirements, commercial and appropriate government standards, and functional, allocated, and product baselines. Configuration governance confirm that the system and subsystem configuration documentation complies with the functional and physical performance characteristics before acceptance into an architectural baseline. |
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