Managing multiple Kubernetes clusters on premises or in the hybrid cloud can be a logistical nightmare.
Coordination between clusters, consistent deployment, data management—it can be easy for IT and dev teams to find themselves in the weeds once the number of clusters they use scale.
One solution to this is Google Anthos, which is designed to make managing Kubernetes clusters across platforms much easier.
For a look at how Anthos may help your organization, let’s look at three different use cases.
For security and regulatory purposes, financial institutions are tied to on-premises datacenters. They also rely upon a large number of applications for both internal and customer-facing needs.
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In this environment, managing a handful of Kubernetes clusters running within applications is not particularly challenging. But once the number of clusters goes from a handful to the hundreds, data management and ensuring consistent deployments becomes a challenge.
By utilizing Anthos, financial institutions have access to a single pane of glass visibility—a centralized portal into all their nodes, data, and clusters. And, they have this access regardless of whether their workloads are being run on premises, in the cloud, or both.
Not only does this ease the burden of managing scores of clusters, but it also allows the institution to develop and update applications securely by having the flexibility to deploy apps between the datacenter and the cloud.
Retail chains rely on point of sale (POS) systems to do business. For security reasons, those POS systems often act like individual datacenters to ensure sensitive customer information is contained and protected. The larger the chain, the more locations they have—and the more individual datacenters.
In order to update each of these POS terminals, the chain could tackle each datacenter individually. But that can be prohibitively expensive and a mess to coordinate.
Instead, the retail chain can use Anthos to push out updates to all its stores from a single location. This ensures consistency of deployment for every location while also providing visibility of every cluster in every point of sale. In addition, the individual POS datacenters can run independently should network access be disrupted.
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Many modern video games rely on consistent connections between players or back end resources.
In order to keep players happy, game companies must ensure latency is at a minimum. Even a millisecond of lag can mean the difference between delivering a premium gaming experience that keeps your audience coming back or sending customers looking for another game.
With millions of players using consoles and PCs, game companies need a way to monitor data and scale resources both on premises and in the cloud without interrupting their services.
This, again, is where Anthos can shine.
Whether deployed on premises or as an edge solution to cover specific regions, Anthos makes monitoring and taking measures to reduce latency much more efficient by delivering a single point for managing data and clusters.
Learn more about using Anthos to manage hybrid cloud data by reading our FREE guide, The Recipe for Deploying Managed Kubernetes On-Premises.
You can also continue your research by checking out these other blog posts: