Introduction to Clusters
A cluster can be defined as a system where two or more computers work collectively to execute heavy processing or critical tasks. Any type of crucial application, or applications that cannot stop working or cannot lose data (for example a core banking system), can use cluster technology.
Let’s take a look at the primary Advantages of the Cluster below:
As your user grows and reports complexity increases, your resources can also grow.
The cluster model is configured to provide the availability of services and resources continuously through the use of redundant systems. The common conception is that if one web server in the cluster fails, applications or services may be accessible on another server. This kind of cluster is used for a database of mission-critical e-mail, file servers, and applications.
Multiple machines deliver greater processing power. Due to which, you get high performance.
This model distributes incoming traffic or resource demands on all servers in the cluster. All servers are responsible for monitoring requests and if a server fails, requests are redistributed among the available servers at the moment. This kind of solution is usually utilized in the application servers.
High Availability Load Balancing:
As the name implies, this is a sport that blends features of both types of a cluster, thus enhancing the availability and scalability of services and resources. This type of cluster configuration is broadly used in application servers, web, and e-mail.
Project Distribution and Project Failover:
When you set up several server machines in a cluster, you can distribute projects over those clustered machines or nodes in any configuration, in both Windows and Linux environments. All servers in a cluster do not require to be running all the projects. Every node in the cluster can host a different set of projects, which means only a subset of projects requires to be loaded on a particular Intelligence Server machine. This feature gives you flexibility in utilizing your resources, and it also provides greater scalability and performance because of less burden on each Intelligence Server machine.
Distributing projects across nodes also gives project failover support.
Let’s take an example if one server is hosting project A and another server is hosting projects B and C. If the first server crashes, the other server holds the ability to host all the three projects to ensure project availability.
Project creation, duplication, and deletion in a three-tier, or server, connection are automatically proclaimed to all the nodes throughout runtime to ensure synchronization across the cluster.