TrustRadius Insights for IBM Cloud Code Engine are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Pros
Managed Environment: Users have appreciated the managed environment provided by Mimic Docker, which has facilitated skills transition and increased speed in shifting to a CSP. This feature has been particularly beneficial for users looking to streamline their processes and enhance efficiency within their cloud services.
Flexible Programming Models: Reviewers have positively noted the flexibility in programming models offered by Mimic Docker, along with elastic scalability for cloud-native development. This adaptability allows users to tailor their development approach according to specific project requirements, leading to more customized solutions.
Efficient Container Management: The efficient container management capabilities of Mimic Docker were praised by users for enabling easy deployment and updates. With seamless container handling, users can efficiently manage their applications without encountering significant operational challenges or disruptions.
I use IBM Cloud Virtual Servers to deploy web applications in a secure and high speed environment. It performs effectively for minimum latency handling of heavy workloads and it also makes perfect for remote file access and document storage.
Pros
the servers ensure security and speed which helps keep programs running without problems
deployment is quick and API integration is simple, making setup easy
the support crew is great, live chat is available anytime I need help
Cons
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
Likelihood to Recommend
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.
IBM Cloud Code Engine is a good platform that comes in handy when you need when you need to run packages, services web based, applications web based, and similar. It is great to host applications that are cloud based, and allow operators and developers to run and test their private code easily in cloud.
Pros
Run applications web based on cloud
Allow developers to test their private code
Run all the cloud native technologies
Cons
Integration with AI should provide more support
Step by step help for beginners
Integration with others not IBM tools
Likelihood to Recommend
Web services development for machines communication in the shop floor to allow instant confirmation of operation is sometimes a tricky activity because it requests inputs from different team, multiple tests, and validation of the solution. In this scenario, IBM tool is useful to allow generation of code, and test, all in cloud.
VU
Verified User
Project Manager in Information Technology (10,001+ employees)
Without IBM Cloud Code Engine, the digital transformation of our firm would not have been feasible. As it offers a comprehensive approach including data management, governence, analytics and artificial intelligence, so simplifying procedures and supporting data driven decisions. Its ability to combine once disparate data sets helped us to utilize our resources, recognize signifcant trends and consolidate sources.
Pros
Guarantees of safe, fast data loading, it simplifies the data and AI lifecycle, enhances communication and coordination among analysts, engineers and data scientists.
Customisable dashboards and tools for data virtualisation and containerisation let the user friendly interface help to improve monitoring and offer an error free environment.
The platforms ai integration, large scale data management capabilities and multi-cloud storage options enable simplification of the development of cloud-native apps and enhancement of productivity by intelligent process automation.
Cons
The present lack of tools like manuals and videos aggravates the difficulties in effectively merging various technologies.
While containerizing is still a fresh and complex concept with numerous benefits IBM Cloud Code Engine which is developed on containerizing could be difficult for customers with less experience.
Furthermore smaller companies cannot afford these technologies and legal barriers impede the adoption process even if the solutions offer speedy deployment.
Likelihood to Recommend
Because of its exceptional suite of capabilties which foster colaboration among data professionals, streamline processes, provide governance and provide insights driven by artificial intelligence as a result the platform is a great benefit to businesses. Its simple and flexible features like data integration, virtualization, dashboard construction and machine learning algorithm handling help one to connect to a great range of data sources.
Code Engine is a managed and serverless PaaS infrastructure that lets customers focus on their core business logic while freeing them up from PaaS related concerns.
Code Engine runs on K8S and scales elastically - incorporating declarative and immutable concepts in solution deployment. It supports multiple programming models and is suitable for many problem spaces.
My customers are trying to use this platform for migrating away from Cloud Foundry appications.
Pros
Managed Environment for partners and customers - shifting skills and speed to CSP
A variety of programming model support
Elastic scalability for cloud native development and speed
Flexible consumption model
Containerized workloads with horizontal scalability
Here is an example - live demo walk-thru delivered to partners and community:
https://www.youtube.com/watch?v=MCBClYgpDFg
Cons
Improved integration with more IBM and 3rd party provided cloud services
Availability in more cloud data centers
Added tutorials - specifically with distributed cloud deployments of IBM Code Engine
Likelihood to Recommend
IBM Code Engine is a very capable and valuable offering and it can make a difference to customer solution deployments. Thanks.
Our team use Code Engine to create a crawler to collect data from Sharepoint. For me, code engine is good container management tools while we want to create microservice for current project. It is easy to maintain and update the containers. However, the console in the code engine page on IBM does not support features it can support. Many features have to be set on your local machine.
Pros
Container Mangement
Deployment speed
Update easily
Cons
UI
Documents
Features' number
Likelihood to Recommend
Code engine is used to create a microservice based on typescript. It works fine as a container to manage the microservice for updating the container fast. However, the UI in the container management pages does not support enough features. Many features need to set on your local machine to ensure it works.
VU
Verified User
Employee in Information Technology (10,001+ employees)
I used IBM Cloud Code Engine almost everyday. I worked in a healthcare industry, where the IT technicians are very low on the number and needed to maintain a great deal of resources and hence IBM Cloud Code Engine was our choice. IBM Cloud Code Engine definitely changed the way we work in the company. Many non technicians were able to just use the service with no problems. Definitely recommend it
Pros
Runs containers well
Scales superbly
Can Manage only on code
Cons
A lot of features
intimidating to first time users
integrations could have been better
Likelihood to Recommend
It is well suited when the scalability is a factor and the second most important thing about IBM Cloud Code Engine is that it is best when your team is very low. For example, I was the only one on the team and hence the obvious use of this IBM Cloud Code Engine. I recommend in such scenarios.
VU
Verified User
Engineer in Information Technology (51-200 employees)
Impressive Cloud solution and the most suitable choice with basic coding capability. Running container workload via IBM Cloud Code Engine is very effective, and I really love the capability to monitor various dataflow through Cloud service. IBM Cloud Code Engine enables development Engineers to easily manage deployment and the networking functions are perfect.
Pros
The right choice for containerization.
Dataflow easy management.
Orchestration.
Cloud services monitoring.
Cons
Some Cloud functions configuration is very technical.
Multiple big dataflow management.
Different servers management.
Likelihood to Recommend
All the functions that IBM Cloud Code Engine provides are functional and easy to access on its classy dashboard. IBM Cloud Code Engine is equipped with great functions for Cloud container management and effective workload balancing ability. IBM Cloud Code Engine easily allows secure and very smooth data integration through Cloud service.
I used it to deploy a full stack app to manage IoT devices connected to the cloud using Mongo DB. After a while the solution was replaced for a corporate solution using a competitor and the test was concluded. It is just like any other cloud service. It has the IBM behind it but unless we have something to differentiate, price is what will be the main focus.
Pros
Mimic Docker
Control requests
Scalability
MongoDB integration
Cons
Become a 3-click product
Webinars in bootcamps and fairs
Get in touch with the tech community to present the product
Invite coders to events
Add AI
Likelihood to Recommend
Every coder has the intention to create an application that becomes bigger and has more users. The problem is scalability. IBM Cloud Code Engine makes it easier to grow. However, integrating your app with several other applications can be a hassle, and connecting them, especially those that are in another platform like GC/AWS/Azure, might prove to be challenging. Updated: Now we are looking for AI enhancement. The first one to have it will dominate the market.
VU
Verified User
Engineer in Information Technology (1-10 employees)
Our client needed a service to host a web application (Front-end and Back-end) with the specific requirement to have a host that is elastic both vertically and horizontally based on the needs and that there is also the ability to self-adjust based on the volume of requests. The web app also had to be put into containers capable of restarting itself in case of a crash and deploy through a toolchain.
Pros
Simplicity of use.
Containerization.
Workload management.
Cons
It is missing the ability to use a custom domain.
It does not have a log built into the service.
Changing configuration (increasing vCPU, Ram, instances, etc...) requires the app to be redeployed.
Likelihood to Recommend
Code Engine is suitable for everyone, whether for small programmers for private projects or for large projects as it offers a versatile service. Very good possibility to start the container based on the request starting from 0 instances and activating it when the URL is called. you could improve the last one as it now takes about 10 seconds (a bit too much).
VU
Verified User
Engineer in Information Technology (10,001+ employees)
We have been using IBM cloud code engine for managing our projects[,] It provides us a serverless platform for deployment of our application, our applications were mostly based over [web apps], and char bot, batch jobs, and microservices. IBM cloud code engine serverless computing services helped us with a hassle- and burden-free building and deploying of Kubernetes.
Pros
More scalable than other platform.
Very predictable in how it behaves[.]
No need to define size deploy, or scale container clusters yourself[.]
Cons
It is limited to 100 apps per project[.]
Documentation - This can be more detailed and exhaustive. It might be intentional as the complexities are hidden away or abstracted to give an easy start for developers.
Likelihood to Recommend
Startups or small businesses [organizations] which are working over Platform as [service] definitely should choose IBM Cloud Code engine as [a] serverless platform. It also helps for small execution times and provides high resource limits for operation.