The 2 fundamental approaches to hybrid cloud integration

By | November 5, 2020

There are some strategies that development teams can implement to achieve hybrid cloud integration. One strategy places the cloud as a front-end application hosting point.

 

Another strategy would be transforming both the data center and the cloud into a flexible resource pool, where application components run as needed.

 

Ultimately, both of these idea houses will determine the tool you choose. Hybrid cloud users need tools that monitor the performance of the application and deploy, redeploy and scale application components as operating conditions change.

 

These devices must support hybrid cloud resources in a specific way and applications must interact both within each hybrid cloud segment and across boundaries between public and private resources.

 

Public cloud is the front-end hosting point

 

When the cloud is the front-end hosting point, you can customize monitoring and management for each hosting environment.

 

This allows you to use public cloud provider’s tools for deployment and application management without having to worry about being compatible with your data center resources. or not

 

Additionally, integration issues are rare in this hybrid cloud model as you can manage your hosting environment separately.

 

But some factors complicate this type of model, including the need for cloud front-end components to access on-premises databases, the need to share data elements between applications and the requirement. Scaling point of exchange between data center and cloud

 

When these things happen, it is difficult to target an independent service level for the front and back of an application. To handle these situations you need to implement a total application performance management (APM) strategy.

 

APM tools set a track point at the point of communication between the cloud and the data center, to work effectively with applications running on hybrid cloud resources.

 

 If you are tracking entry and exit points for handoffs, you can use APM data to detect problems and troubleshoot them with devices.

 

This approach has the ability to deploy cloud service provider applications and use middleware tools for application front-end and other tools for data center connected components.

 

Integrated resource group

 

More complex front-end configurations need to be integrated into the unified resource pool model of the mix to simplify management. In this model, cloud and data centers form a combined hosting pool for their applications.

 

An application component can define a specific set of resources. (For example, private or public) and there is a situation when it can scale or fail on the other side of the hybrid cloud.

 

The easiest way to integrate your hybrid cloud resources is to create a one-stop resource tied to your tool.

 

One way to do this is to implement resource abstraction tools such as Apache Mesos and use them in conjunction with orchestrators such as Kubernetes or Marathon of the Mesosphere, and then combine that abstraction tools with third-party monitoring tools. Three like dinatres

 

Mesos, intangibles, all kinds of hosting tools, and all the popular public also run in the clouds. Therefore, this approach combines hybrid cloud into one platform.

 

However, keep in mind that this requires you to integrate your monitoring and deployment tools with resource abstraction tools instead of host or cloud resources.

 

Without a tool like Mesos, use container hosting as your standard application deployment method. Then integrate the cloud and data center with a combination of Kubernetes and Service Mesh technologies such as Istio.

 

Kubernetes use events to synchronize deployments between the cloud and data centers, and is the best open-source tool for managing workflows in the Istio Hybrid Resource Pool.

 

To properly integrate your hybrid cloud, you need to adapt your application strategy to hosting technology trends. You may need to review some of your equipment options.

 

 It can also mean that you have to focus on the abstraction of resources rather than the separation between private and public resources. Sometimes it becomes harder to switch than to wait sooner rather than later.

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