Google Cloud Run vs. IBM Cloud Code Engine

Microservices and RestFul API application as it is fast and reliant. Seamless integration with event triggers such as pubsub or event arc, so you can easily integrate that with usecases with file uploads, database changes, etc. Basically great with short-lived tasks, if however, you have long-running processses, Cloud Run might not be idle for this. For example if you have a long running data processing task, other solutions such as kubeflow pipelines or dataflow are more suited for this kind of tasks. Cloud Run is also stateless, so if you need memory, you will have to connect an external database.

Incentivized

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.

Incentivized

• Real-time autoscaling. Escalamento automático em tempo real
• Simplified Continuous Deployment. Implantação contínua simplificada
• Running tasks in the background. Execução de tarefas em segundo plano

Incentivized

• Server-less platform that is automatically managed
• Pay per use - scale to zero results in an extremely cheap total cost of ownership.
• There is no need for you to set the size, deploy, or scale container clusters yourself.
• Auto scaling is always helpful and easy to use.

Incentivized

• Limited deployment strategies. Traffic splitting exists, but it's basic. Rollback depends on manual intervention.
• Fragile local debugging and development. The local environment never 100% mirrors Cloud Run. Debug removal is nonexistent.
• Lack of more flexible non-HTTP jobs and workloads. No support for: Advanced Cron,
• Communication between jobs

Incentivized

• 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

Incentivized

We definitely need to renew it because we dont own our own infrastructure and storage and we are happy with Cloud Run features

Incentivized

Since this capability supports a wide variety of use cases - all on non proprietary and open technology based frameworks

Incentivized

The UI/console is great... the documentation is top-notch for developers, but the CLI itself when you have to script around it is very complex and easy to forget some options... the downside of a generic command line client.

Incentivized

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.

Incentivized

Not seen any major issues when we run applications its good

Incentivized

Initially we felt slow but slowly it picked up and easy to manage

Incentivized

I was involved in the initial implementation setup, Its easy with the given documentaiton we can do ourself. Not that critical

Incentivized

AWS Lambda supports code zip package, enabling lower cold start time. Also, AWS Lambda pricing is much simpler, easier to understand.

Other than that, the 2 products are very similar, including the Docker image support: the image must be built based on proprietary base image.

Obviously, if your other services are running in GCP, then Google Cloud Run is your only choice for tight integration, & private networking.

Incentivized

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.

Incentivized

It has good auto scale feature and reliable also

Incentivized

• It has saved us some costs since we now do not require a live server and have moved to a serverless workflow for these services
• Breaking changes do not affect the entire application now that we have separated our concerns using a serverless service
• Much easier to debug since we can now isolate our services and reduce the search space for finding/fixing bugs

Incentivized

• 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.

Incentivized