Google Cloud Anthos Now Supports Workloads on AWS

Google Cloud has announced that Anthos, your software to deploy and manage Kubernetes workloads across multiple on-premises and cloud environments, now supports workloads on the Amazon Web Services cloud platform (AWS) and must follow Microsoft Azure support, still in preview. Google Cloud attributes delay in Azure support to internal engineering resources and "market demand," which is stronger for AWS than for Microsoft's cloud.

For those unaware of Anthos, they should know that this is a multi-cloud, hybrid and open platform through from which existing applications can be modernized, created and run anywhere. This based on open source technologies developed by Google, such as Kubernetes, Istio and Knative, Anthos ensures consistency between the cloud and on-premises environments, and accelerates application development.

Jennifer Lin, VP of Product Management, Google Cloud, commented:

“In business as in life, change is constant and unpredictable. When creating platforms to power your organization, you can't be limited by yesterday's technology decisions. The systems you create today cannot limit your ability to act tomorrow, either. In times of uncertainty, you need an architecture that gives you the agility and flexibility you need to help you cope with, or even take advantage of, change. "

The announcement was slightly delayed compared to what was expected as Google Cloud was supposed to announce the news in early April at its Cloud Next conference, but the event was postponed due to the Covid-19 pandemic.

Generally available Since last year, Anthos offers customers a single platform from which they canrun container-based applications on site, on Google Cloud and the most important, in other large public clouds such as Microsoft Azure and AWS, although support for competing cloud provider solutions has been a long time coming.

According to Lin, the flexibility to run applications where you need them without added complexity was a key factor in choosing Anthos: Many customers want to continue to use their existing investments both on-site and in other clouds, and having a common management layer helps them. to provide quality services with a reduced overhead.

And to clarify that, often, Anthos customers draw on this flexibility to allow your teams to work between platforms instead of being stuck on one.

“At Plaid, we provide real-time data analytics for more than 6.8 billion users online. Our customers trust us to always be available and therefore we have very high reliability requirements, ”said Naohiko Takemura, PLAID Inc., Director of Engineering. “We have followed a multi-cloud strategy to ensure redundancy for our critical KARTE service. Anthos by Google Cloud works seamlessly across GCP and our other cloud providers, avoiding business disruption. Thanks to Anthos, we avoid vendor lock-in, we avoid managing cloud infrastructure specifically, and our developers are not limited by cloud vendors. ”

Anthos now admits, in Google Cloud, the same administration of configuration for virtual machines than would be used for containers, via the Config Management configuration administration console.

With Anthos Config Management, you can now use a programmatic and declarative approach to manage policies for your virtual machines on Google Cloud as you do for your containers. This reduces the likelihood of configuration errors due to manual intervention while speeding up delivery time.

Meanwhile, the platform ensures that its applications are always running in the desired state.

Google Cloud also plans to integrate into Anthos Service Mesh support for applications running on virtual machines in the coming months. This support will enable consistent security and policy management for all workloads across Google Cloud, on premises, and other clouds.

The main idea behind these developments is to allow operators to define dynamic configurations and automated security and identity policies tied to certain workloads and certain namespaces, regardless of where they run.

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