SaltStack vs GitLab

GitLab compared to other DevOps tools

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Summary

SaltStack Platform is a Python-based open-source configuration management software and remote execution engine. Supporting the "Infrastructure as Code" approach to deployment and cloud management, the configuration management and orchestration tool enables system administrators to automate server provisioning and management tasks. The master-slave architecture of Salt permit it to work as both a push and a pull system.

GitLab is a single application for the whole DevOps lifecylce 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.

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FEATURES

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 support out of the box.

Kubernetes integration

Congfiguration 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.

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.

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.

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.