
cloud containers
Kubernetes is the next step in application virtualization with Google Cloud Platform. allows the automation, maintenance, portability and flexibility of the software executed in its containers.
- resilient infrastructure
- Scalability without architecture change
- Automation
- Work on an Infrastructure as Code (IaC) scheme
- Reduction of time and effort
- digital transformation


What can be done with Google Kubernetes Engine?
Kubernetes enables deploy, manage and scale containerized applications, powered by Google CloudPlatform.
All your applications in the cloud
Fail-safe, scalable and flexible architecture
Greater optimization of operations
What are the main differences between GCP, Azure and AWS?
One of the characteristics to take into account is that Kubernetes was devised by specialized exclusively in Google and was the first public cloud provider to enable an enterprise service.
Main differences | Google Kubernetes Engine (GKE) | Azure Kubernetes Services (AKS) | Amazon Elastic Kubernetes Service (EKS) |
---|---|---|---|
Release date | 2015 | 2018 | 2018 |
Automation and Management | GKE nodes are managed, updated and patched by Google. | Nodes must be managed by users. | Nodes must be managed by users. |
SLA | 99.95% | 99.95% | 99.95% |
Scalability | It increases the necessary resources in a unitary way and to the measure of the user. | Increase resources in predefined packs. Not user configurable. | Increase resources in predefined packs. Not user configurable. |
Node self-healing | GKE nodes have automatic node health repair technology. | AKS nodes have automatic node health repair technology. | There is no automatic node repair system. |
Update | GKE nodes are upgraded automatically at a set time window. | The update process is semi manual. | The update process is completely manual. |
What is Total Cost Ownership?
Within the migration process of Kubernetes, is delivered Total Cost Ownership (TCO), a comparison that shows everything that Kubernetes allows, the situation of your company before and after the migration, resulting in a great cost savings and ROI improvement.

How to optimize your efforts with Kubernetes?
GKE Autopilot
- You could have optimized production thanks to the provisioning of resources and its rapid start-up.
- With the SRE (Site Reliability Engineering) from Google You will have monitored operations, which are updated automatically and with dynamic provisioning.
Operational load reduction
- Reduces operational workload thanks to Google platform support.
- Program automatic tasks or "trigger", and reduces human errors by avoiding manual executions.
security verification
staff
- Google Cloud Platform is the only public cloud with its fully encrypted services leaving only the freedom to choose the encryption system but never allowing unsecured information.
Google Cloud customer success stories

How did Kubernetes help ACH Colombia?

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