In the CI/CD tools category, GitLab and Tekton are two prominent competitors. GitLab has the upper hand due to its comprehensive features offering both repository and deployment functionalities.
Features: GitLab provides robust CI/CD pipeline management, security features, and integration with various platforms, combining repository and deployment capabilities. Tekton stands out for its cloud-native architecture, customizable and scalable pipelines, and seamless Kubernetes environment operation.
Room for Improvement: GitLab faces challenges with AWS and third-party integrations, better metrics for non-developers, and cost concerns for smaller teams. Tekton needs better documentation, increased flexibility in YAML configurations, and scalability improvement; its dashboard also lacks detailed information.
Ease of Deployment and Customer Service: GitLab supports a wide array of deployment environments, with mixed reviews on customer service. Tekton focuses on hybrid and Kubernetes-based environments, with an emphasis on community support due to its open-source nature.
Pricing and ROI: GitLab offers free and paid versions, with high costs for smaller teams but good ROI in terms of features. Tekton is free of charge, providing cost-effectiveness and lower resource requirements, with ROI noted in operational cost reduction compared to licensed counterparts.
Migrating to GitLab is bringing time-saving benefits, and everything is easier to automate.
We have saved time significantly, reducing deployment time from four hours to five minutes per deployment.
We have rarely needed to escalate issues to technical support since GitLab usually runs seamlessly.
I have interacted with architects for some advice during the implementation, and they were prompt in their response.
I have had meetings where they taught me, explained things, and provided guidance for starting from scratch.
It has all the features required for our coding and deployment needs, which makes it scalable to our changing requirements.
We're transitioning to OpenShift for future scalability with increased user numbers.
For scaling, other deployment options from GitLab's side need to be adopted.
I have not encountered any performance or stability issues with GitLab so far.
The updates are frequent and demanding, happening at least once a week due to security reasons.
Stability-wise, it is very stable, and we can seamlessly integrate.
It would be beneficial to have a user-friendly interface for setting up these configurations, instead of just writing YAML files.
It is essential to conduct proper testing, such as unit tests and code coverage, within the SDLC pipelines.
GitLab can improve its user interface to make conflict resolution more user-friendly.
Scalability means based on the load, it will automatically gain resources and run.
Even when working in other small organizations, we opted for GitLab as it was cost-efficient.
The pricing of GitLab is reasonable, aligning with what I consider to be average compared to competitors.
The price is high, and it limits user accessibility.
As we implement automated testing and DevSecOps, it speeds up the process by forty to sixty percent.
The Ultimate version offers enhanced features for security scanning through DAST and SAST analysis, which have greatly benefitted our project workflow.
By integrating GitLab as a DevOps platform, we have enhanced agility, improved our time to market, and different teams can work collaboratively on various projects.
Tekton is highly customizable. With Kubernetes, we can customize on our own and create custom builders.
GitLab is a complete DevOps platform that enables teams to collaborate and deliver software faster.
It provides a single application for the entire DevOps lifecycle, from planning and development to testing, deployment, and monitoring.
With GitLab, teams can streamline their workflows, automate processes, and improve productivity.
Tekton is a powerful yet flexible Kubernetes-native open-source framework for creating continuous integration and delivery (CI/CD) systems. It lets you build, test, and deploy across multiple cloud providers or on-premises systems by abstracting away the underlying implementation details.
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