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Distributed Tracing

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Distributed Tracing   Cloud computing, microservices, open source tools, and container-based delivery have made applications more distributed across an increasingly complex landscape. As a result, distributed tracing has become crucial to responding quickly to issues. Distributed tracing is a method of observing requests as they propagate through distributed cloud environments. It follows an interaction and tags it with a unique identifier. This identifier stays with the transaction as it interacts with microservices, containers, and infrastructure.   Distributed tracing helps teams understand more quickly how each microservice is performing. This understanding helps them resolve issues rapidly, increase customer satisfaction, ensure steady revenue, and preserve time for teams to innovate. This way, businesses can take full advantage of the benefits modern application environments offer while minimizing the challenges that their inherent complexity can also create. Different T...

Service Discovery

Service Discovery Service discovery is the process by which services in a distributed system locate and communicate with each other.   In a distributed environment, services are often dynamically created, destroyed, and moved, making it challenging to keep track of their locations.   Service discovery automates the process of identifying and connecting with the appropriate service instances, facilitating seamless interactions between components. Importance of Service Discovery in Distributed Systems Service discovery is essential in distributed systems for several reasons: Dynamic Environments: In dynamic environments where services are frequently scaled or updated, static configurations become impractical. Service discovery ensures that services can dynamically locate each other without manual intervention. Load Balancing : By enabling services to discover multiple instances of a service, load balancing becomes more efficient, distributing traffic evenly across available inst...

Fault Tolerance

Fault Tolerance Fault tolerance in distributed systems is the capability to continue operating smoothly despite failures or errors in one or more of its components.   Fault: Fault is defined as a weakness or shortcoming in the system or any hardware and software component. The presence of fault can lead to error and failure. Errors: Errors are incorrect results due to the presence of faults. Failure: Failure is the outcome where the assigned goal is not achieved. Fault Tolerance is defined as the ability of the system to function properly even in the presence of any failure. Distributed systems consist of multiple components due to which there is a high risk of faults occurring Types of Faults Transient Faults: Transient Faults are the type of faults that occur once and then disappear. These types of faults do not harm the system to a great extent but are very difficult to find or locate. Intermittent Faults: Intermittent Faults are the type of faults that come again and again. S...