Grid computing, cloud computing, Software as a Service (SaaS), utility computing and application service provision (ASP) are all descendants of distributed systems. All work by the same principle of offering easy IT solutions through a centralized setup of distributed servers and machines. Most businesses have distributed systems to cut computing cost.
To ensure that the systems achieve the said goal, the process of creating efficient distributed systems require the knowledge of some building blocks such as Apache ZooKeeper. It is an open-source coordination service for distributed applications and helps businesses by avoiding problems associated with building distributed systems from scratch such as race conditions and deadlocks.
This sort of building clock is highly appreciated in the development of distributed applications and systems due to its outstanding features. The aim is to relief, if not all, some stress associated with coming up with a well-coordinated distributed application. Some of the features to look for are…
A simple AI
Look for an interface is very simple and well-designed interface. The only operations in the interface should include; create, delete, exists, get data, set data, get children and sync. These functions impact the distributed applications nodes and implement higher-level operations such as group membership and ownership.
Machines and servers in distributed systems are prone to failure but what makes the difference is the throughput time after recovery. If followers fail and recover, does the system maintain a high throughput? Needs to be able to maintain the throughput and allow fast recovery through the leader election algorithm. Apart from that, it raises the throughput after followers recover and start processing requests.
Simple in the sense that, through a shared hierarchical namespace, the coordination service will allow distributed systems to coordinate with one another. The namespace consists of the znodes which the data registers are and are kept in-memory. These translate to high throughput. Useful for large distributed systems due to high performance strict ordered access and availability.
Distributed systems will always add new nodes which may affect the configuration of the systems. They give you the opportunity to store and manage the configuration. When new nodes join, they are configured with up-to-date centralized configurations. This freedom to change centralized configuration is necessary when building distributed systems.
The goal is to be a basis for complex distributed applications and services like synchronization. It, therefore, needs to be guaranteed rest assured it is since it is sequentially consistent, reliable, has a single system image, has atomicity and has the property of timelessness. Building distributed systems that are able to maintain configuration information, synchronize with other servers in the system, maintain naming and provide group service has never been simpler.