Google Kubernetes Engine vs. IBM Cloud Object Storage

The Google Kubernetes Engine clusters are very good at being a managed cloud K8s platform - lots of documentation, features, and updates are available. It's also newbie-friendly - for both administrators and developers. Unfortunately, currently, it cannot reach true zero scale - thus, costs (rent for the service) are still involved even if you are barely using it. Thankfully, it's possible to have alternatives in Google Cloud:

• Your own K8s cluster on Compute Engine VMs - you manage it completely; it will have access to a lot of Google Cloud services.
• Cloud Run cluster - less documented but more flexible
• Anthos clusters - you can use this service for a lot of types of K8s clusters - Google Kubernetes Engine, Cloud Run, on-prem, AWS, Azure

Incentivized

IBM Cloud Object Storage is well suited for businesses that require scalable and cost-effective data storage solutions. It excels in scenarios involving massive unstructured data, like multimedia content, backups, and archives. However, it may be less appropriate for organizations with minimal storage needs or those requiring high-performance, low-latency access to data, as it's optimized for durability and data integrity rather than real-time data retrieval.

Incentivized

• Deployment of a new GKE cluster is really fast in comparison to other cloud providers.
• GCP is ahead other vendors and always provide the most up to date Kubernetes version.
• GKE automation for master upgrade and the worker nodes pool works really well.

Incentivized

• Cloud storage allows you to save data and files in an off-site location that you access either through the public internet or a dedicated private network connection.
• Cloud storage delivers a cost-effective, scalable alternative to storing files on on-premise hard drives or storage networks.
• Cloud storage services provide elasticity, which means you can scale capacity as your data volumes increase or dial down capacity if necessary.
• Business continuity of Storing data offsite supports business continuity in the event that a natural disaster or terrorist attack cuts access to your premises.

Incentivized

• Not as intuitive as it could be
• Documentation could be better, especially for people using other Google Cloud tools
• Not the preferred Kubernetes Engine for many apps

Incentivized

• Unexpected errors are known to occur when downloading/uploading files.
• Not easy to get started. In order to take full advantage of the platform and its features, additional training and reading documentation is needed.
• The UI of the platform can get a bit confusing and it's easy to get lost.

Incentivized

because it is a robust, safe and flexible product

Incentivized

• Google Kubernetes Engine has a good UI and documentation that facilitates setup and helps get projects moving along quickly
• Its built-in logging integrations with StackDriver make it easier to monitor the application and log issues quickly
• Automated orchestration, deployment, and scaling of nodes and networking are all easily configurable with yaml files

Incentivized

For my use cases, it has been a very smooth experience. Even my new colleagues have been able to get on top of things very quickly. This shows how easy it is to work with

Incentivized

Very good Kubernetes distribution with a reasonable total price. Integration with storage and load balancer for ingress and services speed up every process deployment.

Incentivized

I have been working in IT sector for more than 15 years. I have worked with various vendors. IBM's sales team, support team have been really helpful. After we start to use their product, their UX design team also contacted us to get feedback from us. They are really interested about our experience.

Incentivized

I just researching and applying the tools on their platforms to ensure a good learning path, based on my needs. Reading the documentation related with resources, tools. Is too big, but I am trying to know more about it every day. It is a good way to know more about their resources. A new way to attract new customers. At the end of the day, we are all involved in improvement and automation of our tasks and resources for customers and end-users.

Incentivized

IBM's professional service for migrating data and implementing new cloud environment was perfect. They started to help us before we begin to bring together all data such as how can it could be best to transfer all data without problems. During the migration they watched all the process closely to prevent any failure. Lastly, after the migration, they gave us trainings on implementation.

Incentivized

GKE spins up new nodes a LOT faster than AKS. GKE's auto scaler runs a lot smoother than AKS. GKE has a lot more Kubernetes features baked in natively.

Incentivized

Amazon S3 is a great service to safely back up your data where redundancy is guaranteed, and the cost is fair. In the past I have used Amazon S3 for data that we backup and hope we never need to access, but in the case of a catastrophic or even small slip of the finger with the delete command, we know our data and our client's data is safely backed up by Amazon S3. Amazon S3 service is a good option, but based on the features it provides compared with IBM Cloud Object Storage, it is less suitable. IBM Cloud Object Storage is also integrated with more services, like IBM Cloud SQL and IBM Aspera, which AWS does not provide to transfer files at maximum speed in the world.

Incentivized

• When issues came up, we reached out to some folks at GCP and they seemed to be very prompt and attentive to our needs. They were always willing to help and provide additional details or recommendations or links to resources. This kind of support is very helpful as it allows us to navigate GKE with more confidence.

Incentivized

• Positive: Allowed us to start and produce working software regardless of our experience level.
• Positive: Integration with other Google Cloud services that we wanted to use anyway.
• Negative: It's kinda clunky, and some scenarios seem Google Kubernetes Engine-specific instead of being more integrated with other Google Cloud services or the web UI.

Incentivized

• This allows us to recommend a platform to our clients that will quickly help them create new, efficient business processes with very little development.
• This saves clients hours and days of manual analysis of images, allowing the system to do the work when attaching Object Storage to models.
• There is a learning curve in utilizing the storage and the modeling, but once up and running, it works well during deployment.

Incentivized