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DevOps Tools Landscape

Plutora vs GitLab

Plutora focuses on value stream management solutions for enterprise I. Plutora tries to improve the speed and quality of application delivery by correlating data from existing tool-chains, coordinating delivery across diverse ecosystem of development methodologies and hybrid test environments, and incorporates test metrics gathered at every step of the delivery pipeline. Essentially, it is a reporting and visiblity platform across the development lifecycle.

FEATURES

Application performance monitoring

GitLab collects and displays performance metrics for deployed apps, leveraging Prometheus. Developers can determine the impact of a merge and keep an eye on their production systems, without leaving GitLab.

Learn more about monitoring deployed apps

Cycle Analytics

GitLab provides a dashboard that lets teams measure the time it takes to go from planning to monitoring. GitLab can provide this data because it has all the tools built-in: from the idea, to the CI, to code review, to deploy to production.

Learn more about Cycle Analytics

Built-in Container Registry

GitLab Container Registry is a secure and private registry for Docker images. It allows for easy upload and download of images from GitLab CI. It is fully integrated with Git repository management.

Documentation on Container Registry

Preview your changes with Review Apps

With GitLab CI/CD you can create a new environment for each one of your branches, speeding up your development process. Spin up dynamic environments for your merge requests with the ability to preview your branch in a live environment.

Learn more about Review Apps

A comprehensive API

GitLab provides APIs for most features, allowing developers to create deeper integrations with the product.

Read our API Documentation

Web IDE

Contribute to projects faster by using the Web IDE to avoid context switching in your local development environment. The Web IDE is integrated with merge requests and GitLab CI so that you can resolve feedback, fix failing tests and preview changes live with client side evaluation without leaving the Web IDE.

Learn more about the Web IDE

Container debugging with an integrated web terminal

Easily debug your containers in any of your environments using the built-in GitLab Web Terminal. GitLab can open a terminal session directly from your environment if your application is deployed on Kubernetes. This is a very powerful feature where you can quickly debug issues without leaving the comfort of your web browser.

Learn more about the web terminal

Comprehensive pipeline graphs

Pipelines can be complex structures with many sequential and parallel jobs. To make it a little easier to see what is going on, you can view a graph of a single pipeline and its status.

Learn more about pipeline graphs

Scheduled triggering of pipelines

You can make your pipelines run on a schedule in a cron-like environment.

Learn how to trigger pipelines on a schedule in GitLab

Code Quality

Code Quality reports, available in the merge request widget area, give you an early insight into how the change will affect the health of your code before deciding if you want to accept it.

Learn more about Code Quality reports

Multi-project pipeline graphs

With multi-project pipeline graphs you can see how upstream and downstream pipelines are linked together for projects that are linked to others via triggers as part of a more complex design, as it is for micro-services architecture.

Learn more about multi-project pipeline graphs

Deployment projects

A deployment project holds the software project you are deploying: releases that have been built and tested, and the environments to which releases are deployed.

Learn about GitLab projects

Environments and deployments

GitLab CI is capable of not only testing or building your projects, but also deploying them in your infrastructure, with the added benefit of giving you a way to track your deployments. Environments are like tags for your CI jobs, describing where code gets deployed.

Learn more about environments

Environments history

Environments history allows you to see what is currently being deployed on your servers, and to access a detailed view for all the past deployments. From this list you can also re-deploy the current version, or even rollback an old stable one in case something went wrong.

Learn more about history of an environment

Object storage for artifacts

Artifacts can be stored on Object Storage (Amazon S3)

Learn how to store artifacts on object storage

Object storage for LFS

LFS files can be stored on Object Storage (Amazon S3)

Learn how to store artifacts on object storage

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.

Read more about Auto DevOps in the documentation

Easy integration of existing Kubernetes clusters

Add your existing Kubernetes cluster to your project, and easily access it from your CI/CD pipelines to host Review Apps and to deploy your application.

Read more on the issue

Support for multiple Kubernetes clusters

Easily deploy different environments, like Staging and Production, to different Kubernetes clusters. This allows to enforce strict data separation.

Read more on the issue

Minimal CI/CD configuration

GitLab CI/CD requires less configuration for your pipelines than other similar setups like Jenkins.

Learn more about GitLab CI/CD

Multiple integrations

GitLab can integrate with Authentication and Authorization (LDAP / AD) mechanisms, multiple 3rd party services, CI/CD, and other tools such as ALM, PLM, Agile and Automation tools.

Learn more about GitLab's integrations

Static Application Security Testing

GitLab allows easily running Static Application Security Testing (SAST) in CI/CD pipelines; checking for vulnerable source code or well known security bugs in the libraries that are included by the application. Results are then shown in the Merge Request and in the Pipeline view. This feature is available as part of Auto DevOps to provide security-by-default.

Learn more about Static Application Security Testing

supports 11 languages

Container Scanning

When building a Docker image for your application, GitLab can run a security scan to ensure it does not have any known vulnerability in the environment where your code is shipped. Results are then shown in the Merge Request and in the Pipeline view. This feature is available as part of Auto DevOps to provide security-by-default.

Learn more about container scanning

Dynamic Application Security Testing

Once your application is online, GitLab allows running Dynamic Application Security Testing (DAST) in CI/CD pipelines; your application will be scanned to ensure threats like XSS or broken authentication flaws are not affecting it. Results are then shown in the Merge Request and in the Pipeline view. This feature is available as part of Auto DevOps to provide security-by-default.

Learn more about application security for containers

Interactive Application Security Testing

IAST combines elements of static and dynamic application security testing methods to improve the overall quality of the results. IAST typically uses an agent to instrument the application to monitor library calls and more. GitLab does not yet offer this feature.

Runtime Application Security Testing

RASP uses an agent to instrument the application to monitor library calls as the application is running in production. Unlike other security tools, RASP can take action to block threats in real-time, similar to a Web Application Firewall but from within the app’s runtime environment rather than at the network layer. GitLab does not yet offer this feature.

If you feel there are inaccurate statements in this comparison or a tool missing, please edit this page or propose edits by opening an issue. You can also send an email to devopstools@gitlab.com with your suggested edits if you're unable to open an issue or edit this page.

We strive for technical accuracy and will review and update this post for inaccuracies as quickly as possible.

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