GitLab is an intelligent orchestration platform for DevSecOps, where software teams enable AI at every stage of the software lifecycle to ship faster. The platform enables teams to automate repetitive tasks across planning, building, securing, testing, deploying, and maintaining software.
$0
per month per user
Kubernetes
Score 9.0 out of 10
N/A
Kubernetes is an open-source container cluster manager.
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VMware Cloud Foundation
Score 9.0 out of 10
N/A
VMware Cloud Foundation is a hybrid cloud platform for managing VMs and orchestrating containers, built on full-stack hyperconverged infrastructure (HCI) technology. With a single architecture that is desribed by the vendor as easy to deploy, VMware Cloud Foundation aims to enable consistent, secure infrastructure and operations across private and public cloud.
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Pricing
GitLab
Kubernetes
VMware Cloud Foundation
Editions & Modules
GitLab Free (self-managed)
$0
GitLab Free
$0
GitLab Premium
$29
per month per user
GitLab Premium (self-managed)
$29
per month per user
GitLab Ultimate
Contact Sales
GitLab Ultimate (self-managed)
Contact Sales
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
GitLab
Kubernetes
VMware Cloud Foundation
Free Trial
Yes
No
No
Free/Freemium Version
Yes
No
No
Premium Consulting/Integration Services
Yes
No
No
Entry-level Setup Fee
Optional
No setup fee
No setup fee
Additional Details
GitLab Credits enable flexible, consumption-based access to agentic AI capabilities in the GitLab platform, allowing you to scale AI adoption at your own pace while maintaining cost predictability. Powered by Duo Agent Platform, GitLab’s agentic AI capabilities help software teams to collaborate at AI speed, without compromising quality and enterprise security.
If usage exceeds monthly allocations and overage terms are accepted, automated on-demand billing activates without service interruption, so your developers never lose access to AI capabilities they need.
Real-time dashboards provide transparency into AI consumption patterns. Software teams can see usage across users, projects, and groups with granular attribution for cost allocation. Automated threshold alerts facilitate proactive planning. Advanced analytics deliver trending, forecasting, and FinOps integration.
GitHub wins the social coding battle by a longshot. Their community engagement is huge and the number of popular projects hosted there is higher than any other service. I've only ever heard of 1 serious project hosted on Bitbucket, but I would imagine it integrates very well …
GitLab stands up great to other Git hosting services. GitLab CI blows GitLab past it's competitors to take a Git server and make it a complete application management platform. Versus GitHub, GitLab does not stand up for hosting open source projects as GitHub has a much larger …
We evaluated Docker Swarm as usage of docker is very distributed in our company. But docker swarm has not as many features as kubernetes and we have large, complex architectures which require good scalability and robustness - this is a huge strength of kubernetes compared to …
GitLab is good if you work a lot with code and do complex repository actions. It gives you a very good overview of what were the states of your branches and the files in them at different stages in time. It's also way easier and more efficient to write pipelines for CI\CD. It's easier to read and it's easier to write them. It takes fewer clicks to achieve the same things with GitLab than it does for competitor products.
K8s should be avoided - If your application works well without being converted into microservices-based architecture & fits correctly in a VM, needs less scaling, have a fixed traffic pattern then it is better to keep away from Kubernetes. Otherwise, the operational challenges & technical expertise will add a lot to the OPEX. Also, if you're the one who thinks that containers consume fewer resources as compared to VMs then this is not true. As soon as you convert your application to a microservice-based architecture, a lot of components will add up, shooting your resource consumption even higher than VMs so, please beware. Kubernetes is a good choice - When the application needs quick scaling, is already in microservice-based architecture, has no fixed traffic pattern, most of the employees already have desired skills.
It is best suited for an on-premise cloud solution where customer can shift their entire production environment. Also, the customer has a preference for a Homogenous Infrastructure Environment where budget is not a challenge. It is not at all suited for a Heterogenous Environment, e.g., a Public cloud where integration becomes a huge issue, also in SMB sections where budget is challenging.
Local development, Kubernetes does tend to be a bit complicated and unnecessary in environments where all development is done locally.
The need for add-ons, Helm is almost required when running Kubernetes. This brings a whole new tool to manage and learn before a developer can really start to use Kubernetes effectively.
Finicy configmap schemes. Kubernetes configmaps often have environment breaking hangups. The fail safes surrounding configmaps are sadly lacking.
I really feel the platform has matured quite faster than others, and it is always at the top of its game compared to the different vendors like GitHub, Azure pipelines, CircleCI, Travis, Jenkins. Since it provides, agents, CI/CD, repository hosting, Secrets management, user management, and Single Sign on; among other features
The Kubernetes is going to be highly likely renewed as the technologies that will be placed on top of it are long term as of planning. There shouldn't be any last minute changes in the adoption and I do not anticipate sudden change of the core underlying technology. It is just that the slow process of technology adoption that makes it hard to switch to something else.
I find it easy to use, I haven't had to do the integration work, so that's why it is a 9/10, cause I can't speak to how easy that part was or the initial set up, but day to day use is great!
It is an eminently usable platform. However, its popularity is overshadowed by its complexity. To properly leverage the capabilities and possibilities of Kubernetes as a platform, you need to have excellent understanding of your use case, even better understanding of whether you even need Kubernetes, and if yes - be ready to invest in good engineering support for the platform itself
I've never had experienced outages from GItlab itself, but regarding the code I have deployed to Gitlab, the history helps a lot to trace the cause of the issue or performing a rollback to go back to a working version
GItlab reponsiveness is amazing, has never left me IDLE. I've never had issues even with complex projects. I have not experienced any issues when integrating it with agents for example or SSO
At this point, I do not have much experience with Gitlab support as I have never had to engage them. They have documentation that is helpful, not quite as extensive as other documentation, but helpful nonetheless. They also seem to be relatively responsive on social media platforms (twitter) and really thrived when GitHub was acquired by Microsoft
Gitlab seems more cutting-edge than GitHub; however, its AI tools are not yet as mature as those of CoPilot. It feels like the next-generation product, so as we selected a tool for our startup, we decided to invest in the disruptor in the space. While there are fewer out-of-the-box templates for Gitlab, we have never discovered a lack of feature parity.
Most of the required features for any orchestration tool or framework, which is provided by Kubernetes. After understanding all modules and features of the K8S, it is the best fit for us as compared with others out there.
Although the public Cloud Model follows Opex Costing Model, it actually leads to very high costs also, the infra model in my organization is not suited for a Public Cloud Model. Hence We decided on an On-Premise Model, and the best suited was VMware Cloud Foundation, which is a complete Software-Defined Scale-Out Architecture. I also prefer a Homogenous environment; i.e, support and services from a Single OEM, so that I Can get faster resolutions to my tickets raised.
My organization has a size of 1300+ employees, using multiple applications and an exchange mail server that is hosted on On-Premise Cloud, hence scalability has not been a challenge.
Having hosted my Production environment and Mail exchange Server on VCF, there has been optimum resource utilization with very little scope downtime. Hence have been able to save a lot of funds on Hardware resources.
Due to the size of my organization and due the data load, I have been able to save on Resource Utilization and Organization Funds