IBM Cloud Code Engine

Score9.1 out of 10

27 Reviews and Ratings

What is IBM Cloud Code Engine?

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 serverlessly. That includes long-running containers and batch jobs as well as bursty and short-lived functions. The platform dynamically scales containers according to load, has monitoring, logging and a service mesh “built in.” The vendor states users don't need to choose between long execution times, high resource limits, private networking and scale-to-zero but instead have it all on one fully-managed platform, without needing infrastructure skills.

https://ibm.biz/Cloud_Code_Engine_product_page

Categories & Use Cases

Media

Scalability
Ease of scaling up or down to meet demand
Category average: 8.2
Services-enabled integration
Ability to integrate with cloud applications and data via APIs and pre-built connectors
Category average: 8

Pavel Kovalenko

Chief Technical Officer in Information Technology at Modlogix (51-200 employees employees)

Use Cases and Deployment Scope

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

Return on Investment

it offers a completely managed serverless platform, therefore lowering infrastructure expenditures
increases general performance by helping to free local device storage capacity
the ability to scale up easily makes it a long-term, cost-effective solution

Other Software Used

Vasion Print, Adobe Analytics, LogicMonitor

Verified User

Project Manager in Information Technology (10,001+ employees employees)

Use Cases and Deployment Scope

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

Return on Investment

Time saving is for sure the most important ROI, because developers can use one standard tool, that covers end to end the development phase
Reduction of licences from additional tools no more needed is a little bit more trickier because it is always hard to map especially in big companies the entire utilisation of a tool and migrate everything to new tools

Usability

Volodymyr Kysil

Sales Manager in Sales at DICEUS (51-200 employees employees)

Use Cases and Deployment Scope

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.

Return on Investment

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.

Usability

Other Software Used

IBM Cloud Bare Metal Servers

Bhargav VR Perepa View profile

Software Engineer in Information Technology at IBM (10,001+ employees employees)

Use Cases and Deployment Scope

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

Return on Investment

Shifting risk, skills needed and speed to IBM versus customers or partners
Separation of concerns - IBM does what it is best for while customer does what they are best for
Flexible consumption model - customers/partners pay only when they use resources

Usability

Other Software Used

IBM Cloud Kubernetes Service, IBM Cloud Object Storage, IBM Cloud Activity Tracker

Patel Sanjay View profile

DevOps Engineer in Information Technology at cVation (51-200 employees employees)

Use Cases and Deployment Scope

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.

Return on Investment

Extremely capable container workload easy management and performance monitoring ability is helpful.
IBM Cloud Code Engine dataflow management is fantastic and useful for data reports collection.
Perfect Orchestration and data modeling is amazing and the access control tools are productive.

IBM Cloud Code Engine

What is IBM Cloud Code Engine?

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Services-enabled integration

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