Codacy vs. IBM Cloud Kubernetes Service

I recommend it for companies that use several programming languages, as it supports several languages ​​such as Java, Javascript, Python, among others. However, for companies that use only one programming language, there are specific tools for each language that can be more complete in this scenario. I do not recommend it for companies that only use open source software, in which case there are other tools available.

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IBM Cloud Kubernetes Service also stands out in environments where the workloads vary continuously and require befitting scale. The product excels particularly in microservices structures, wherein the companies would harness the capacity for container orchestration and automated scaling. Still, it may face the challenges due to monolith applications that have not been originally developed for using container technology.

• Seamless and easy integrations with GitHub for fantastic pipeline of viewing errors.
• Intuitive UI which is easy to customize and built-in patterns recommendations and security checks helps to fix issues faster.
• Metrics and duplication and complexity easily identify areas that need attention to fix it easy.
• Great for open-source projects.

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• 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.

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• There should be customization to get code quality for your own projects if standards are provided.
• Offline or a standalone application is much needed from Codacy to get local support.
• Spots a lot of errors and small ones that don't affect much about quality and are de-facto standards.

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• 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

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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.

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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.

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IBM's cloud is almost infallible.

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IBM's cloud has a site in my conuntry (MEXICO) so the network latency was almost 0

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Great company and support team!

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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)

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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.

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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.

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Even though it is paid while SonarQube is free, we chose Codacy because it is simpler to configure and maintain the implemented rules. In addition, it offers support for the main programming languages ​​on the market, ensuring that we can continue to use it if we want to use other languages ​​in new products.

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We mainly selected [IBM Cloud Kubernetes Service] because IBM fabric blockchain service is mostly compatible with it. To have all the infrastructure in a single cloud to get the best output we selected the [IBM Cloud Kubernetes Service].

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IBM's CKS does not offers automatic autoscaling nor vertical scaling (automatic). Other services like Google Kubernetes Engine scales up and down very well

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• The integration of Codacy with new code base is quick and easy.
• Improves our code.
• Easy to detect errors easily.
• Ability to check duplicate codes.

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• Increased development speed and agility allows to build features faster and more economically.
• Improved resource utilization helps keep applications running very efficiently, which saves on cloud service expenses.
• Scalability and resilience allows for scaling up or down based on demand, which keeps applications running efficiently and more economically.

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