Google Kubernetes Engine, the managed environment of production, management and deployment of containerized applications, expands with the introduction of GKE Advanced.

The open source system of Kubernetes container orchestration was launched by Google in 2014. Since then, the company has developed a solid suite of installation, management and configuration tools for a variety of use cases.

Many organizations, however, when they have to run Kubernetes independently prefer to adopt the managed service Google Kubernetes Engine (GKE). Such organisations do not want to focus on the underlying infrastructure: rather they want a solid basis that allows them to focus on their business.

The Mountain View company has now taken the next step, expanding the solution and introducing GKE Advanced. This new solution adds enterprise-level controls, automation and flexibility, based on the lessons learned from the management of the Big G global infrastructure.

The Google Kubernetes Engine is done in two

The editions of GKE, Google Kubernetes Engine, become two.

GKE Advanced offers advanced infrastructure automation and integrated tools for software supply chain, for increased security. In addition, a more solid commitment on reliability, with a SLA with financial support, as well as support for the execution of workload serverless. These new advanced features and GKE tools help companies operate in fast-changing environments. In order to simplify the management of workloads and clusters, and scale with greater freedom. This service continues to offer Kubernetes portability and third-party ecosystem, but with an enhanced set of features.

GKE Standard includes all features that are currently available at a general level, providing a managed service for less complex projects. Companies can also continue to exploit the rich integration ecosystem, including those available in the GCP Marketplace.

Additional functions of GKE Advanced

GKE Advanced is financially supported by an SLA that guarantees 99.95% availability for regional clusters. It thus ensures greater tranquility for mission-critical workloads.

Manually scaling a Kubernetes cluster for availability and reliability can be complex and take a long time. GKE Advanced includes two new features to simplify this step. Vertical Pod Autoscaler (VPA) controls the use of deployment resources and regulates the required CPU and RAM to stabilize workloads. Node Auto Provisioning optimizes cluster resources with an advanced version of Cluster Autoscale.

GKE Advanced includes GKE Sandbox, a lightweight runtime container based on gVisor, which adds a second layer of Pod-level defense. The advanced service also offers other security enhancements. As well as the ability to perform serverless services and greater visibility on the use of the infrastructure.

More information about Kubernetes Engine is available at this link.

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