Tag: fault tolerance
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Microservices based Latency
Microservices architecture has revolutionized the way applications are developed, offering scalability, flexibility, and modularity. However, one of the critical challenges in microservices is managing latency. Latency, the time taken for a request to travel from the client to the server and back, can significantly impact the performance of microservices-based systems. Causes of Latency in Microservices…
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Data Sharding
Data sharding is a technique used in distributed databases to improve performance, scalability, and availability. It involves splitting a large dataset into smaller, more manageable pieces called “shards,” each of which can be stored across different servers or nodes. This approach enables faster data access, reduces the risk of system overload, and provides a more…
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Data replication
Data replication is a critical technique used in distributed systems to enhance data availability, fault tolerance, and reliability. By maintaining multiple copies of the same data across different nodes or servers, replication ensures that data remains accessible even in the event of a failure. This approach is widely used in cloud computing, distributed databases, and…
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Application Architecture
Application Architecture (AA) is the structural design of software applications, focusing on the organization and interaction of components to ensure they function effectively, are scalable, and align with business goals. It is a critical facet of software engineering that provides a blueprint for building robust, maintainable, and high-performance applications. By establishing clear guidelines on how…
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Topologies: Ring Network
In networking, the ring topology represents a structure where nodes are connected in a closed-loop or circular arrangement. Each node is connected to exactly two neighboring nodes, forming a ring-like structure. Data travels in one or both directions around the ring until it reaches its intended destination. This topology is particularly known for its simplicity…
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Topologies: Mesh Network
Mesh network topology is a robust and decentralized network design where each device (or node) is interconnected with one or more other nodes. This architecture ensures multiple paths for data transmission, promoting reliability, redundancy, and efficiency. Mesh networks are commonly used in critical systems such as wireless networks, IoT applications, and military communications due to…
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Distributed System Architecture
Distributed system architecture refers to a computing model in which components of a system are spread across multiple machines, yet function as a cohesive unit. These systems are designed to achieve scalability, fault tolerance, and high availability by leveraging the capabilities of multiple nodes or servers. Distributed systems are foundational to cloud computing, large-scale web…
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Micro service Architecture
Microservice architecture (MSA) is a design style that structures an application as a collection of small, autonomous, and independently deployable services. Each service is designed to fulfill a specific business function and communicates with other services through lightweight protocols like HTTP, REST, or messaging queues. This architecture is a modern alternative to monolithic systems, enabling…
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Risk Mitigation: Production Issue Management
Production issue management is a critical process in software development and IT operations, aimed at swiftly identifying, addressing, and resolving issues in live environments. Effective management ensures minimal disruption to end-users, reduces downtime, and safeguards business continuity. By adopting robust frameworks and leveraging advanced tools, organizations can mitigate risks associated with production failures. Core Elements…
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Durability : ACID Complaince
Durability in ACID: The Immutable Guarantee of Data Persistence In database systems, the ACID model—Atomicity, Consistency, Isolation, and Durability—defines the fundamental principles for reliable transaction management. Among these, durability ensures that once a transaction has been successfully committed, its changes are permanently recorded in the database, even in the face of system crashes, power outages,…
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Availability : CAP Theorm
Availability in CAP: Ensuring Continuous Responsiveness in Distributed Systems The CAP theorem, formulated by Eric Brewer, is foundational to understanding the design trade-offs in distributed systems. It asserts that a distributed system can simultaneously provide only two of three properties: Consistency (C), Availability (A), and Partition Tolerance (P). In this context, availability ensures that every…