Google Kubernetes Engine (GKE) enables smart containerization for cloud systems, making it easy to spin up new systems and manage applications in a production-ready environment.
Cloud containers are pre-built cloud platforms featuring infrastructure, virtual machines and operating systems clustered together into a working configuration. This creates the basis you need to quickly roll out new apps or app iterations without having to build out dedicated infrastructure for the project.
GKE introduces AI-based management capabilities layered on top of the Google Cloud console to create a single dashboard where administrators can view and manage containers. Kubernetes Engine takes the efficiency and scalability of raw containerized configurations and adds an intelligence layer that makes it a natural fit as enterprise cloud usage matures.
The Anthos Advantage
Future-proofing is a growing need in the cloud world. Anthos is uniquely suited to help businesses manage and optimize their application environments across cloud and premises-based systems. Organizations can bring GKE capabilities to their configurations regardless of where they are housed, making modernization accessible and creating a common experience across system environments.
Rethinking Cloud Architecture
The debate between public, private or hybrid cloud is over – Businesses need it all. They need their clouds to be flexible and adaptable to both keep up with immediate needs and be ready for future demands. Containers make that possible, and Dito can empower your organization to take full advantage of what GKE has to offer.
Key Kubernetes Features
Built-in security & compliance to enforce proper data workflows and privacy safeguards.
Full support for Docker containers.
Integration with Google Cloud Build to eliminate the need for setup authentication.
Full portability through the use of the Certified Kubernetes framework, ensuring you can move to other Kubernetes platforms as needed.
Management and controls through a console that provides dashboards for clusters and resources, container isolation capabilities and container-level resource limiting for workloads in a cluster.