Google Kubernetes Engine supplies containerized application management powered by Kubernetes which includes Google Cloud services including load balancing, automatic scaling and upgrade, and other Google Cloud services.
$0.04
vCPU-hr Autopilot Mode
Oracle Cloud Infrastructure
Score 8.5 out of 10
N/A
Oracle Cloud Infrastructure (OCI) is Oracles's infrastructure-as-a-service (IaaS) platform which combines the utility of public cloud with the granular control, security, and predictability of on-premises infrastructure.
Our organization went with Google's Kubernetes Engine because we are already significantly invested in the Google Cloud Platform. In our evaluation of Amazon's Elastic Kubernetes Service we were turned off by recent concerns about Amazon becoming overly dominant in the cloud …
- Performance was big reason for choosing Oracle Cloud infrastructure over AWS Ec2 and Azure VMware Solutions.- Oracle Database as application design was another reason for choosing Oracle Cloud infrastructure over AWS Ec2 and Azure VMware Solutions.
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
Oracle Cloud Infrastructure (OCI) is a great fit when you need High-performance infrastructure for mission-critical apps that require low latency and high availability. Scalable compute services for big data analytics workloads that process massive datasets. Support for DevOps teams looking to streamline their development and deployment pipelines. But it might not be the best choice for Small-scale or low-traffic applications where you can find cheaper options elsewhere. Legacy workloads running on older tech like Oracle Solaris or Windows Server, where OCI's support may be limited.
This may be kind of obvious, but Oracle Cloud Infrastructure favours Oracle's own database products and there is limited opportunity to use, say, SQL Server as a serverless/managed database product. Thus if you use Oracle Cloud Infrastructure but want a non-Oracle DB you may need to run it on your own VM or migrate to something else
Other hyperscalers, such as GCP, have a greater focus/emphasis on AI and models, and this is something Oracle Cloud Infrastructure is not yet as well-established in
Other hyperscalers, such as Azure, have greater unification around its data/BI products and tools than Oracle Cloud Infrastructure currently has
Reliability: Very dependable and stable OCI services have been for the business operations.Performance: The speed and efficiency of OCI in meeting their computing and storage needs.Scalability: The ease and effectiveness of scaling resources up or down to accommodate changing demands.Security: The robustness and effectiveness of OCI's security features in protecting their data and applications.
The services & products in Oracle Cloud Infrastructure needs more improvement to beat other Cloud service providers. The price is good & Security processes are good. We are requiring to put more effort in supporting this Oracle Cloud Infrastructure than other Cloud service providers. Probably better ways are there but is not super easy to find or not super available
Oracle Cloud Infrastructure's performance and scalability meet our business objectives effectively. flexible solutions, dynamically adjustment based on demand make this solution a really good solution to migrate our on-premises services to the cloud, performance, migration process, and the easy way to integrate everything makes Oracle a really good solution for corporate environments.
Very good Kubernetes distribution with a reasonable total price. Integration with storage and load balancer for ingress and services speed up every process deployment.
Overall it is amazing, there is always room for improvement. We have weekly updates that tend to slow the program used more and more. We had to change some reports within Oracle because the others wouldn’t load. This is tied to our payroll and the delays are causing many time constraint issues and panic. We have to create a new report when one breaks. Otherwise awesome!
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.
We used Microsoft Azure and Docker earlier and faced some difficulties like Microsoft Azure and Docker. Occasionally, the generation of large images can delay deployment. It is also necessary for me to admit that Microsoft Azure and Docker have a somewhat steep learning curve. Proper paperwork needs to be there. Docker has issues with performance on a number of platforms. On the other hand, OCI is easy to deploy and easy to understand.
was not part of initial purchase team. Anyways, i think unit pricing and billing frequency is good compared to other Cloud service providers, when it comes to Cloud Capital expenditure & Operational expenditure. Would be more interested in exploring more options where customers can get more cost relaxations on trying out new cloud services in Oracle Cloud Infrastructure for example a new App or a feature
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.
Services & Infra wise is ok to use & host applications & services. Security wise also good for a Cloud service provider. It is a interesting area to explore & using it for day to day needs can be further improvised in future probably. Modern day Services like AI and Machine learning could be improved
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.
