Likelihood to Recommend We started to use GitLab for hosting git source code repositories of our projects only but slowly we started to use it to store container images, packages, dependency proxy as well infrastucture registry and it is now well suited for Continuous Integration in our projects, It wasn't that good in Continuous Deployment before 12.0 version but after 12.0 it is amazingly good for Continuous Deployment as well since it keeps deployment information in a well organized manner which can be configure in ci yaml configuration.
Read full review The Google
Kubernetes Engine clusters are very good at being a managed cloud K8s platform - lots of documentation, features, and updates are available. It's also newbie-friendly - for both administrators and developers. Unfortunately, currently, it cannot reach true zero scale - thus, costs (rent for the service) are still involved even if you are barely using it. Thankfully, it's possible to have alternatives in Google Cloud:
Your own K8s cluster on Compute Engine VMs - you manage it completely; it will have access to a lot of Google Cloud services. Cloud Run cluster - less documented but more flexible Anthos clusters - you can use this service for a lot of types of K8s clusters - Google Kubernetes Engine, Cloud Run, on-prem, AWS, Azure Read full review Pros GitLab excels in managing code versions, allowing easy tracking of changes, branch management, and merging contributions. It helps maintain code stability and reliability, saving time and effort in the development or research workflow. Powerful code review features, enabling collaboration and feedback among team members. Robust project management features, including issue tracking, kanban boards, and milestones. Read full review Deployment of a new GKE cluster is really fast in comparison to other cloud providers. GCP is ahead other vendors and always provide the most up to date Kubernetes version. GKE automation for master upgrade and the worker nodes pool works really well. Read full review Cons CI variables management is sometimes hard to use, for example, with File type variables. The scope of each variable is also hard to guess. Access Token: there are too many types (Personal, Project, global..), and it is hard to identify the scope and where it comes from once created. Runners: auto-scaled runners are for the moment hard to put in place, and monitoring is not easy. Read full review Not as intuitive as it could be Documentation could be better, especially for people using other Google Cloud tools Not the preferred Kubernetes Engine for many apps Read full review Likelihood to Renew Gitlab is the best in its segment. They have a free version, they have open-source software, they provide a good service with their SaaS product, they are a fully-remote company since the beginning (which means they are fully distributed and have forward-thinking IMO). I would certainly recommend them to everyone.
Read full review Usability 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!
Read full review Google Kubernetes Engine has a good UI and documentation that facilitates setup and helps get projects moving along quickly Its built-in logging integrations with StackDriver make it easier to monitor the application and log issues quickly Automated orchestration, deployment, and scaling of nodes and networking are all easily configurable with yaml files Read full review Support Rating 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
Read full review Very good
Kubernetes distribution with a reasonable total price. Integration with storage and load balancer for ingress and services speed up every process deployment.
Read full review Alternatives Considered GitLab is easily the preferred tool when it comes to versioning and source control. With other tools the UI often feels outdated and clunky leading to inefficiency and confusion. With some of the sleeker tools such as
GitKraken , while the aesthetic is pleasing, the experience is plagued by a lack of support, lack of optional plugins, and a plethora of bugs that cause unnecessary legwork to resolve. GitLab is the best of both aesthetic and functionality
Read full review GKE spins up new nodes a LOT faster than AKS. GKE's auto scaler runs a lot smoother than AKS. GKE has a lot more
Kubernetes features baked in natively.
Read full review Professional Services When issues came up, we reached out to some folks at GCP and they seemed to be very prompt and attentive to our needs. They were always willing to help and provide additional details or recommendations or links to resources. This kind of support is very helpful as it allows us to navigate GKE with more confidence. Read full review Return on Investment We were able to streamline our project's codebase which made us very organised and laid out a proper plan for development. Our deployment and infra pipelines are well structured now making our process 10x faster. We are more focused into project building rather infra, as infra is totally on autopilot mode. Which has enabled us to grow our ROI by records. Read full review Positive: Allowed us to start and produce working software regardless of our experience level. Positive: Integration with other Google Cloud services that we wanted to use anyway. Negative: It's kinda clunky, and some scenarios seem Google Kubernetes Engine-specific instead of being more integrated with other Google Cloud services or the web UI. Read full review ScreenShots