Azure Functions enables users to execute event-driven serverless code functions with an end-to-end development experience.
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IBM Cloud Code Engine
Score 9.3 out of 10
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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…
This is the most straightforward and easy-to-implement server less solution. App Service is great, but it's designed for websites, and it cannot scale automatically as easily as Azure Functions. Container Apps is a robust and scalable choice, but they need much more planning, …
IBM Cloud Satellite is distributed cloud platform while IBM Code Engine is serverless. They both has capabilities that are non overlapping and run on IKS/K8S.
What impresses me most about IBM Cloud Code Engine is the container workload management capability and the Cloud services and dataflow monitoring functionalities. Data security and network security control via IBM Cloud Code Engine is quite excellent and very responsive data …
If IBM wants to get ahead, it needs to add AI and make it seamless on the project configuration, real time chat with AI will help developers to increase speed and have less problems integrating the code into their business logic. There's no marketing using influencers, YT code …
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 …
Cloud engine is much easier to use, and gives a very clear interface and control. Each application can be configured differently with ease and changed without having to know anything about different subscription levels or inner workings of the system. Just change the resource …
During software selection is always good to give different weight to each parameter of evaluation. Usually cost and performances are always having higher weight, but it's good not forget about support and integration. A scenario with a great tool, impossible to integrate in the …
They're great to embed logic and code in a medium-small, cloud-native application, but they can become quite limiting for complex, enterprise applications.
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.
They natively integrate with many triggers from other Azure services, like Blob Storage or Event Grid, which is super handy when creating cloud-native applications on Azure (data wrangling pipelines, business process automation, data ingestion for IoT, ...)
They natively support many common languages and frameworks, which makes them easily approachable by teams with a diverse background
They are cheap solutions for low-usage or "seasonal" applications that exhibits a recurring usage/non-usage pattern (batch processing, montly reports, ...)
My biggest complaint is that they promote a development model that tightly couples the infrastructure with the app logic. This can be fine in many scenarios, but it can take some time to build the right abstractions if you want to decouple you application from this deployment model. This is true at least using .NET functions.
In some points, they "leak" their abstraction and - from what I understood - they're actually based on the App Service/Web App "WebJob SDK" infrastructure. This makes sense, since they also share some legacy behavior from their ancestor.
For larger projects, their mixing of logic, code and infrastructure can become difficult to manage. In these situations, good App Services or brand new Container Apps could be a better fit.
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
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.
This is the most straightforward and easy-to-implement server less solution. App Service is great, but it's designed for websites, and it cannot scale automatically as easily as Azure Functions. Container Apps is a robust and scalable choice, but they need much more planning, development and general work to implement. Container Instances are the same as Container Apps, but they are extremely more limited in termos of capacity. Kubernetes Service si the classic pod container on Azure, but it requires highly skilled professional, and there are not many scenario where it should be used, especially in smaller teams.
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.
They allowed me to create solutions with low TCO for the customer, which loves the result and the low price, that helped me create solutions for more clients in less time.
You can save up to 100% of your compute bill, if you stay under a certain tenant conditions.
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.
