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Standardization, security, and governance across environments with Anthos Multi-Cloud

Kubernetes is being used for an ever growing percentage of production applications that power the world. Day 2 operations are now in focus as organizations scale from just a few clusters and applications to many clusters across multiple environments, in one cloud, multiple, and even on premise. How do you establish “sameness” across all of your clusters, regardless of where they are?

Standardization, security, and governance

Container platform teams are tasked with keeping groups of clusters up to date and aligned with their organizations standards and security policies. They will need to automate as much of this work as possible since managing 1 cluster is very different than managing 10s or 100s across geographies. Automation and keeping things as similar as possible, or sameness which is a concept Google uses internally for Kubernetes management, is critical. Anthos has a number of benefits operators can take advantage of when it comes to establishing “sameness” with regard to standardization, security, and governance across Kubernetes clusters. As a first step in evaluating Anthos it is best define the environment you will be operating in:

Do you want to utilize existing Kubernetes clusters deployed with first party Kubernetes services such as Google Cloud’s GKE, Amazon’s EKS or Azure’s AKS?

Are you looking to standardize on GKE across clouds for runtime consistency? 

This decision will define which multi-cloud product, Anthos Clusters (GKE on AWS/Azure/GCP) or Attached Clusters (any CNCF conformant K8s) are best suited to your use case when it comes to applying standardization, security, and governance across your Kubernetes estate:

Standardization, security, and governance across environments 

Anthos Configuration Management (ACM) config sync, Policy Controller, and Service Mesh can be extended to popular Kubernetes distributions such as EKS and AKS in addition to GKE. In a multi-tenant environment you can manage the baseline configurations required across all clusters such as telemetry, infosec tooling, and networking controls centrally in your ACM git repo while allowing your teams access to namespaces for application deployment and configuration. This architecture provides a safe landing zone for applications while providing automation tooling for day 2 operations. Application teams are free to use their application deployment tool of choice within a defined namespace while the operations group manages each cluster from a centralized git repo. ACM does allow fine grained configuration syncing per cluster based on labeling schemas, which may be required if operating across environments or geographies where different tooling or policy is required.

Example multi-cluster/multi-environment strategy for establishing standardization, security, and governance

Use case spotlight

Hosted SaaS Deployments

Deploying microservice based software across many public cloud accounts is made possible with the Anthos Multi-Cloud API which allows standardization of your Kubernetes runtime and lifecycle management activities for the cluster and associated infrastructure across environments with centralized remote management, telemetry, and logging. Maintaining a common runtime, security posture, toolset, and observability plane across customer deployments is critical to scaling and supporting a distributed user base. These capabilities of the Anthos Multi-Cloud product have been embraced by software vendors that need to be able to provide infrastructure and application level support into their customers’ cloud environments. 

In the example diagram below Anthos maintains the state of each cluster in each end user account and associated GCP project. Clusters are connected to a unified CD pipeline via Config Sync. Telemetry across the cluster projects is consolidated to a custom dashboard in Google Cloud operations for a consolidated view of the entire estate.

Multi-cluster/ multi-account strategy for establishing standardization, security and governance over remote applications

“As an integration platform that runs on multi-clouds, we chose Anthos for multi-cloud deployments to standardize our operations across multiple clouds while relying on GKE’s valuable security and governance features which already serve us far and wide. With Anthos, we have normalized our operations and fully unified our infrastructure support.” – Diego Maia, Head of SRE, Digibee  

New features with Anthos 1.11 for Multi-Cloud

The following multi-cloud features are part of our Anthos 1.11 

Anthos Service Mesh Topology Diagrams for GKE on AWS

Support for Windows Worker Nodes

Support for Dedicated Hosts/Instances for GKE on AWS

Application Logging for Linux and Windows workloads

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