Google Compute Engine vs. IBM Cloud Code Engine

Google Compute Engine is so easy to implement and run. It doesn't require much knowledge to build an app since they provide multiple options to choose from with their prebuilt sample list. We can easily make customization on any website app we built for our client according to their needs and make changes if required.

Incentivized

It would be a good solution for running serverless applications. Because infrastructure setup and maintenance expenses can be avoided, the investment will pay for itself. The time to value is short, allowing IT to respond to business demands quickly. It aided us in customizing security as well as operating a personal project using to autoscale up and down approach. Also, because there isn't much hassle, items can be pushed into production as soon as possible. Simply push a container, create an application, and you're ready to go. But, It is less suited when you have a static machine or need to keep data in some way and do not want to utilize network storage or a database.

Incentivized

• Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
• Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
• Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs

Incentivized

• 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

Incentivized

• Built-in monitoring via Stackdriver is quite expensive for what it provides.
• Initially provided quotas (ie. max compute units one can use) are very low and it took several requests to get an appropriate amount.
• Support on GCE is limited to their knowledge base and forums. For more hands-on support provided by Google, you must pay for their Premium services.

Incentivized

• For Bigger projects, the Number of jobs and apps can be increased along with maximum memory consumption.
• The Documentation can be more extensive for freshers and get more engagements from the newcomers.
• Moving around the security changes can be tricky and hard to change.

Incentivized

Overall services are good to go. Received good feedback from users. Have regional server locations. It has free extra service included.

Incentivized

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

Incentivized

Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.

Incentivized

IBM Cloud Code Engine is good for developers to create a microservice based on typescript and nodejs. The tool can help mange the project very well. It decrease the difficulty for developement and increase deloping speed. However, the code engine UI on IBM cloud does not contain enough features it can support.

Incentivized

GCE is highly available system. So far we have not experienced any planned or unplanned outages. We do experience application errors however they are not GCE reated. GCE provides us with wide ranges of option to make systems highly available like block storage, global load balancing, GPU accelerators and Machine Managers which manages different VMs.

Incentivized

It's good in terms of Performance, as compared to other VMs or Compute Engine Services by other providers. Google Compute Engine integrates seamlessly with other Google Cloud Platform services, allowing users to leverage a wide range of tools and services without significant performance degradation.

Incentivized

• The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
• Google support was great and their presence on site was very helpful in dealing with various issues.

Incentivized

Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability. It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.

Incentivized

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 integration functions and the first deployment is not very technical.

Incentivized

• With Google Compute we don't have the overhead of managing our own data centers reducing costs and reducing the staff needed to manage systems.
• As I said earlier, Google's costs are ~1/2 of AWS, so we are able to see a ROI much faster.

Incentivized

• IBM Cloud Code Engine secures my underlying infrastructure and help manage multiple project data.
• Easy resources management and the multiple transactions tracking through IBM Cloud Code Engine is amazing.
• Effective Application isolation from other workload using IBM Cloud Code Engine is perfect.

Incentivized