IBM Cloud Kubernetes Service

Yes, we make extensive use of the Watson catalog, including the new Watsonx functionality to access artificial intelligence models. The ability to integrate these services allow us to bring new functionality to market more quickly.

In my organization, we use third-party services provided by IBM Cloud Kubernetes Services. The largest range of available services allowed us to improve and think about new deployments and integrations that we can leverage using the platform to integrate and extend the functionality of the services provided by IBM Cloud Kubernetes.

Third party services can simplify IBM Cloud Kubernetes Service cluster management. Many offer user-friendly GUIs and preconfigured functions, which can speed up deployment. Specialized support is often available -- and third party services often integrate well with other services.

Disadvantages include vendor lock-in, added cost, limitations with customization, potential performance overhead, and security concerns.

We did try log services from IBM which didn't fit our use case, so we moved to custom solutions. The plug-and-play services management is very user-friendly but faces a few stability issues. It all depends on the use case and requirements, but I like the Idea of third-party integrations.

We used integrations with cloud services briefly. I think this integration is the main advantage for customers and one of the main reasons why they choose IBM Cloud Kubernetes Service

Good experience with AWS Fargate with AWS's typical pay-as-you-go pricing model in comparison to more unwieldy Kubernetes. Both have helped to deploy applications quickly, however, Fargate is more limited.

I have not used these products, although it makes it easier that they are available if we want them. For instance, Third-party services often offer cost-effective solutions compared to developing in-house solutions. But on the other hand, Relying on third-party services can lead to dependence on those services, making it difficult to switch to alternative solutions. Also, Third-party services may not provide the level of control required for a specific application, leading to limited customization options.

Haven't used them yet but will certainly be needed for our next projects

In my organization, we have taken advantage of the third-party services provided by IBM Cloud Kubernetes Service. The wide range of services available, such as weather data and identity access and management, has allowed us to enrich our application with additional functionality and improve the user experience. One of the advantages of using these services is that they are easily accessible and can be integrated with our application with minimal configuration. Additionally, the integration with Watson services has allowed us to add AI capabilities to our application, which has provided a competitive edge for our business.One of the disadvantages we have encountered is that some of the third-party services have different pricing models, which can be difficult to navigate. Additionally, some of the services may not be available in certain regions, which can limit the functionality of our application in those areas.Overall, we have found that the third-party services provided by IBM Cloud Kubernetes Service have been a valuable addition to our application and has helped us to enhance the user experience and gain a competitive edge. However, it is important to carefully evaluate the pricing models and regional availability of the services before deciding to use them.

We use may other IBM Cloud services such as IBM Cloud Container Registry Service, IBM Cloud Logging &amp; Monitoring Service, IBM Cloud Objec Storage Serivice. All services are easy to use and can be provisioned on demand. Our most use cases require auto provisioning, security and scalability (Specially IBM COS/IKS). <br><br>We often provision / deprovision resources on demand to match the required scale.

I have used a few third-party services. I use them mainly for competitive analysis and proving parity in my results testing with another similar tool.

Not used

Sysdig and LogDNA are the two main third-party services my team utilizes along with IBM Cloud Kubernetes Service. They are exclusively used for monitoring/diagnostics and logging respectively as current IBM Cloud Kubernetes Service capabilities for these features out of the box don't provide the necessary features we need. Sysdig is capable of providing a high degree of accuracy to monitor the state and other metrics of services hosted in our cluster as well as providing helpful dashboard to visualize the data. LogDNA provides our team with an easy way to query logs efficiently.

IBM Cloud Kubernetes Services accessibility to the other party services helps on big data processing and Cloud services Automation for time management and ensuring the data security is effective. The data processing process are also managed securely through the third party services and they help manage the quality and the platform stability.

We haven't used them much.

We have not used these services.

I did not use it.

I have used block and object storage which are very close to competitors. The key here is QoS and support which is a step above the competition.

Personally, I have not used any third-party services as we mostly have IBM products.

IBM services provide many tools and access to many cloud services and its integration with open source and third-party applications interact perfectly well.

I can say from past experience that Watson's outsider administrations were noteworthy out-of-box, and better [than] other cloud-local 'man-made intelligence' administrations. The advancement of information followed intellectual highlights that I expected to discover, which was an indication of [all-around] made administrations out of these sorts.

We haven't use that service in any of our products.

I haven't used Watson third-party services here, yet. I can say from past experience that Watson third-party services were impressive out-of-box, and better that other cloud-native 'AI' services. The enrichment of data followed cognitive features that I expected to find, which was a sign of well-composed services of these kinds.

We have deployed only custom applications on IBM Cloud Kubernetes Service.

Yes, the catalogue of services offered are ranging across all fields and it's always fascinating to use them.