IBM Cloud Code Engine is a fully managed, serverless platform that unifies the deployment of containers and applications including web apps, microservices, event-driven functions, or batch jobs. This serverless compute service aims to remove the burden of building, deploying, and managing workloads in Kubernetes so users can focus on writing code and not on the infrastructure that is needed to host it. With IBM Cloud Code Engine users can run any workload…
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Kubernetes
Score 9.3 out of 10
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Kubernetes is an open-source container cluster manager.
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Pricing
IBM Cloud Code Engine
Kubernetes
Editions & Modules
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Pricing Offerings
IBM Cloud Code Engine
Kubernetes
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
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Community Pulse
IBM Cloud Code Engine
Kubernetes
Features
IBM Cloud Code Engine
Kubernetes
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
IBM Cloud Code Engine
6.4
Ratings
22% below category average
Kubernetes
-
Ratings
Scalability
6.60 Ratings
00 Ratings
Services-enabled integration
6.20 Ratings
00 Ratings
Container Management
Comparison of Container Management features of Product A and Product B
Looking for a reasonably priced and dependable cloud solution, I suggest IBM Cloud Virtual Servers to everyone. For businesses needing excellent uptime and performance free from the trouble of running actual servers, it's fantastic. However, it may not be the best choice if you need hands on support for server configurations.
Along with all the best features and support by k8s, the automatic container scheduling to worker nodes and also self-healing containers which is what I like the most. On the other side, when I was installing the k8s cluster on CentOS 8, it was quite difficult for me, but never mind it is working as we expected and it is a one-time effort. Especially, in my case, there are more than 7 application containers required to run and communicate with each other, so for us, Kubernetes is an optimal solution.
the pricing structure is complicated, and the servers are expensive. I really think they should offer better pricing options and support for more languages
sometimes the servers go down, and they take too long to respond to support tickets
uploading documents is slow since I have to do it one by one, making the process much longer than it should be
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.
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.
The product Cloud features setting was not that tricky, and the functions are easy to manipulate and provide quality Cloud services. The data connectivity through IBM Cloud Code Engine is very simple and the transfer speed is very impressive. A/B Testing using IBM Cloud Code Engine is effective performed and data security is on top.
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
Having only some hands-on with the other services, The cloud engine is considerably simpler to operate, with a very clear interface and management. Each application can be easily configured and altered without needing to know anything about different subscription tiers or the system's inner workings. But in the case of Lambda, Depending on the situation, Code Engine will fetch your source code and generate the container image. Code Engine supports both Dockerfile and the Cloud-Native Build bundle, which is preferable. It is possible to create applications that send messages based on events.
As I said earlier also - - K8s manage the workloads better as compared to OpenStack in terms of reliability, observability & reachability. - K8s is not limited to only a single networking or storage solution as compared to OpenStack. - Networking (which is a key concept) is much simpler in K8s as compared to OpenStack. - It is possible to upgrade your applications without downtime in K8s but in OpenStack, you either have to divert the traffic or face an outage because you have to delete the whole stack & then recreate it.
IBM maintains the same high degree of security that has been essential for its operations since the dawn of the computing market while streamlining data governance in a real cloud model as a dependable business partner for organizations all across the globe.
Apart from providing the instruments needed for efficient work the user friendly interface helps non-IT professionals to understand the system in a limited period of time.
The latest IBM Cloud Code Engine design is based on an innovative approach to buying and bundling of products.