GitLab DevSecOps platform enables software innovation by aiming to empower development, security, and operations teams to build better software, faster. With GitLab, teams can create, deliver, and manage code quickly and continuously instead of managing disparate tools and scripts. GitLab helps teams across the complete DevSecOps lifecycle, from developing, securing, and deploying software. Differentiators, as described by Gitlab:
Simplicity: With GitLab, DevSecOps can…
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IBM Cloud Kubernetes Service
Score 9.2 out of 10
Mid-Size Companies (51-1,000 employees)
IBM Cloud Kubernetes Service is a
managed Kubernetes offering, delivering user tools and built-in security for rapid delivery of applications
that users can bind to cloud services related to IBM Watson®, IoT, DevOps
and data analytics. As a certified K8s provider, IBM Cloud Kubernetes
Service provides intelligent scheduling, self-healing, horizontal
scaling, service discovery and load balancing, automated rollouts and
rollbacks, and secret and configuration management. The Kubernetes…
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.
IBM Cloud Kubernetes Service is ideal for deploying modern applications on a microservices architecture -- where easy scaling and ability to update are important. IBM Cloud Kubernetes Service also handles automated deployments and load balancing very well, particularly if you're already working in the IBM Cloud ecosystem. There are applications less suited to IBM Cloud Kubernetes Service -- such as very small applications, where managing an IBM Cloud Kubernetes Service cluster would be overkill. Also, users not familiar with container organization might find IBM Cloud Kubernetes Service to be a challenge to manage effectively.
IBM has a strong focus on serverless and Kubernetes. This shows in the platform. Deploying containers to Kubernetes was very easy.
Deploying a Kubernetes cluster through the GUI is very easy and quick. On top of that, IBM Cloud offers a single node cluster for Free.
Container Registry is a very good product for managing container images. Integration with Kubernetes was seemless.
Portability. To transition from Google Cloud Kubernetes to IBM Cloud Kubernetes took almost no effort. We mostly use the CLI and the standard tools such as kubectl were present.
I constantly get this error even when everything is well configured prefect.exceptions.AuthorizationError: [{'path': ['auth_info'], 'message': 'AuthenticationError: Forbidden', 'extensions': {'code': 'UNAUTHENTICATED'}}]
Then sometimes the error disapear without changine anything, happened twice to me. Should there be an issue with the authentication service? Please let's improve or let users know why this may be happening.
Improve the UX in the browse console when removing many images at once
UX on the process of installing KeyCloack operator
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.
We have our application running on a CentOS compartment on IBM Cloud Kubernetes Service. We have been utilizing the help since IBM Cloud initially dispatched. We liked the adaptability and versatility that IBM Cloud Kubernetes Service give us. Since we are tiny, the Kubernetes administration is just utilized at present inside my venture bunch.
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!
We actually haven't had any real problems in our clusters recently and the results we have gotten from adopting IBM Cloud Kubernetes Service have been beyond even our greatest expectations. The community has helped optimize the use of the system and make it relatively simpler to use.
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
The self-guided support was solid, and there are plenty of online videos to guide first time users, but I think one area of improvement is a faster way to transfer a large quantity of files from our local machine to the cloud for storage (Aspera)
Online training is really an important resource for using these tools. IBM's help center is rich in useful information and tips. Also, external guides and tutorials are available (e.g. on youtube), but I followed only IBM ones and I had no difficulties.
Ease of use. Very intuitive. We have been looking for a product that allows us to orchestrate our docker containers in a way where it allows us to effectively scale our applications to production. It also provides us a way of monitoring all our infrastructure in a very clear concise way.
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
The IBM Cloud Kubernetes Service is quite flexible platform with profitable Cloud functions performance and the data security through IBM Cloud Kubernetes Service is nice. To manage container easily and process huge amount of data at the same time, the IBM Cloud Kubernetes Service is amazing ad the platform deployment is very easy after training.
IBM's CKS does not offers automatic autoscaling nor vertical scaling (automatic). Other services like Google Kubernetes Engine scales up and down very well
IKS can provide around 30% savings when it comes to operational costs since Kubernetes is designed to run applications in most machines in the most efficient manner possible.
Managed Kubernetes can save a company time by 45% since Managed Kubernetes usually is seamlessly updated, without any interruptions with the workload. IKS fall into this benefit.
We heard people had saved in maintenance downtimes when it comes to Kubernetes by a factor of 10 so IKS can contribute to more flexible and distributed services with virtually no downtime.
