Category: SWE
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AWS EC2 Auto scaling
AWS EC2 Auto Scaling is a powerful feature that ensures optimal performance and cost-efficiency by automatically adjusting the number of Amazon EC2 instances in response to application demand. It empowers businesses to handle traffic fluctuations seamlessly, scale up during peak times, and scale down during low usage periods, all while maintaining application reliability and availability.…
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IOT Devices
The Internet of Things (IoT) is an ecosystem of interconnected devices embedded with sensors, software, and communication technologies that enable them to collect, process, and exchange data. IoT devices range from household appliances and wearable technology to industrial equipment and smart city infrastructure. These devices are pivotal in transforming the way we interact with technology,…
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VPS Vertical Scaling
Vertical scaling, often referred to as “scaling up,” involves increasing the resources of an existing Virtual Private Server (VPS) to meet growing workload demands. This approach is ideal for applications that require more processing power, memory, or storage without the need to reconfigure or migrate to a different server. Key Features of VPS Vertical Scaling…
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AWS S3
Amazon Simple Storage Service (S3) is a highly scalable, durable, and secure object storage solution offered by Amazon Web Services (AWS). Designed for developers and enterprises, S3 provides storage for any type of data, making it ideal for a variety of use cases, such as backup, archiving, big data analytics, and hosting static websites. Key…
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Enterprise Management: Metrics
Metrics are fundamental to enterprise management as they provide measurable data to evaluate performance, monitor progress, and guide strategic decisions. These quantitative indicators enable organizations to assess the efficiency of their operations, identify areas for improvement, and align their efforts with overarching business objectives. Effective enterprise management relies on well-defined metrics that encompass various operational,…
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Enterprise Management : Monitoring
Enterprise monitoring is a systematic process that involves tracking the performance, availability, and health of IT resources, applications, and business processes within an organization. Effective monitoring ensures the seamless operation of systems, minimizes downtime, and provides insights for continuous optimization. It is a crucial component of enterprise management, enabling businesses to align IT infrastructure with…
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Enterprise Management : Health check
Enterprise management health checks are critical evaluations designed to ensure the optimal performance, security, and scalability of an organization’s IT infrastructure and business processes. This practice involves regular assessments of systems, workflows, and resources to identify inefficiencies, potential risks, and areas for improvement. Proactive health checks help enterprises maintain operational continuity, minimize downtime, and align…
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Enterprise Management: Secrets Management
In today’s digital era, protecting sensitive information is of paramount importance. For enterprises, managing secrets—such as passwords, API keys, encryption keys, and certificates—is critical to maintaining the confidentiality, integrity, and availability of their systems. Secrets Management is a strategic process that involves securely storing, accessing, and auditing these sensitive credentials across the organization. What is…
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Enterprise Management: Identity
Enterprise identity management is a critical aspect of organizational security and operational efficiency. It ensures that the right individuals have access to the appropriate resources at the right times for the right reasons. Identity management encompasses a combination of policies, processes, and technologies to manage and secure user identities in an enterprise. By centralizing and…
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Diamond Model
The Diamond Model is a popular framework used in cybersecurity to analyze and understand adversary behavior during cyberattacks. Developed by the Mitre Corporation, it offers a structured approach to analyzing threat activity, focusing on the key components of any attack. The model is designed to help security teams better understand adversary tactics, techniques, and procedures…
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Cyber Attacks : Zero Days
A Zero-Day Attack is one of the most sophisticated and dangerous forms of cyber exploitation. It occurs when hackers exploit a previously unknown vulnerability in software, hardware, or firmware before the vendor or developers can release a patch. The term “zero-day” refers to the lack of lead time available for developers to address the flaw,…
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Cyber Attack : CFRS
Cross-Site Request Forgery (CSRF) is a cyberattack that exploits the trust a web application has in a user’s browser. Also known as a “one-click attack” or “session riding,” CSRF tricks authenticated users into performing unintended actions on a web application without their knowledge or consent. These attacks can lead to unauthorized data changes, account modifications,…
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Cyber attacks : Buffer Overflow
Buffer overflow is one of the most infamous and longstanding vulnerabilities in computer security. It occurs when a program writes more data to a buffer—a contiguous block of memory—than it can hold. This overflow can corrupt adjacent memory, alter program execution, or allow attackers to inject malicious code. Buffer overflows are particularly dangerous because they…
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Cyber Attacks: DNS poisoning
DNS (Domain Name System) poisoning, also known as DNS spoofing, is a type of cyberattack that compromises the DNS resolution process, redirecting users to malicious websites without their knowledge. As a foundational element of internet navigation, DNS translates human-readable domain names into IP addresses. DNS poisoning corrupts this process, enabling attackers to intercept or manipulate…
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Cyber security Attacks: DDOS
A Distributed Denial of Service (DDoS) attack is a malicious attempt to disrupt the normal traffic of a targeted server, service, or network by overwhelming it with a flood of internet traffic. These attacks are orchestrated using a network of compromised devices, known as a botnet, which collectively send vast amounts of requests to the…
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Big Thetha
Big Θ (Theta) notation is a mathematical concept used to describe the tight bound of an algorithm’s performance. Unlike Big O, which focuses on the worst-case scenario, or Big Ω, which captures the best-case scenario, Big Θ provides a precise measure of the algorithm’s growth rate by considering both upper and lower bounds. It essentially…
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Graphs : Dijkstra Algorithm
Dijkstra’s algorithm is a fundamental graph traversal technique used to find the shortest path from a single source node to all other nodes in a weighted graph. Developed by Edsger W. Dijkstra in 1956, the algorithm operates efficiently by iteratively exploring the least-cost paths. It is widely employed in network routing, GPS navigation, and resource…
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Big Omega
Big Ω (Omega) notation is a mathematical concept used to describe the best-case performance of an algorithm. It provides a lower bound on the running time or space required by an algorithm as a function of the input size . In simpler terms, Big Ω defines the minimum time an algorithm will take, regardless of…
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Unbalanced tree
An unbalanced tree is a binary tree where the height difference between the left and right subtrees of any node can become significant, leading to an inefficient structure. Unlike balanced trees, which maintain a relatively equal height across subtrees, unbalanced trees may degenerate into a linear structure, similar to a linked list. This can result…
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Balanced Tree
A balanced tree is a type of binary tree where the height difference between the left and right subtrees of any node is minimal, ensuring efficient performance in terms of searching, insertion, and deletion operations. This balance is crucial for maintaining the tree’s height at a logarithmic scale, which ensures that operations can be performed…
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Graphs : DFS
Depth-First Search (DFS) is a fundamental graph traversal algorithm that explores as far as possible along each branch before backtracking. It is widely used in computer science for tasks such as solving puzzles, finding connected components, topological sorting, and detecting cycles in graphs. DFS operates on both directed and undirected graphs and works for graph…
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Graph : BFS
Breadth-First Search (BFS) is a fundamental graph traversal algorithm that explores all vertices at the current depth level before moving to the next level. It is widely used in various applications, such as finding the shortest path, solving puzzles, and network flow analysis. BFS works efficiently on both directed and undirected graphs, represented as adjacency…
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Graphs : Beelman Ford Algorithm
The Bellman-Ford algorithm is a powerful graph-based algorithm used to find the shortest paths from a single source vertex to all other vertices in a weighted graph. Unlike Dijkstra’s algorithm, Bellman-Ford can handle graphs with negative weight edges, making it a versatile choice for a wide range of applications. However, it cannot work with graphs…
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Big o notation
Big O Notation is a mathematical concept widely used in computer science to describe the efficiency and scalability of algorithms. It provides a framework to evaluate how the runtime or space requirements of an algorithm grow relative to the size of the input data. By abstracting away hardware and implementation specifics, Big O focuses on…
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Closed APIs
A Closed API, also known as a private API, is a restricted interface designed for specific internal use within an organization. Unlike Open APIs, which are available publicly, Closed APIs are limited to authorized users, teams, or systems. This controlled access ensures enhanced security, better performance, and customized functionalities tailored to specific business needs. Key…
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Open API
Open API, often referred to as a public API, is a specification designed to enable diverse applications to communicate with each other seamlessly. These APIs are publicly available to developers, offering standardized access to specific services or data. Open APIs play a critical role in fostering innovation, enabling businesses to extend their services beyond traditional…
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Layer 4 Load Balancing
Layer 4 Load Balancing is a method of distributing network traffic based on information available at the Transport Layer of the OSI model, specifically IP addresses, and port numbers. Unlike Layer 7 (Application Layer) load balancing, which inspects the content of the traffic, Layer 4 focuses solely on routing traffic based on the IP headers…
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TCP 3 Way Handshake
The Transmission Control Protocol (TCP) is one of the fundamental communication protocols used to establish a reliable connection between two devices over a network. One of the key processes in TCP communication is the “3-Way Handshake,” which ensures a secure and reliable connection between the sender and receiver before data transmission begins. This handshake process…
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Layer 7 Load Balancing
Layer 7 Load Balancing, also known as Application Layer Load Balancing, is a sophisticated method of distributing network traffic based on the content of the request rather than just the network or transport layer information. Unlike traditional load balancing strategies that operate on Layer 4 (TCP/UDP), which focus on IP addresses and ports, Layer 7…
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Reverse Proxy
A Reverse Proxy is a server that sits between client devices and a web server, handling client requests on behalf of the server. Unlike a forward proxy, which acts as an intermediary for clients, a reverse proxy serves as an intermediary for servers, managing incoming requests and distributing them to various backend servers. This architecture…
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Read duplicate
In the context of data management, software development, and database systems, the term “read duplicate” often refers to a situation where the same data is retrieved multiple times within the same query or process. This can lead to inefficiencies, incorrect results, or unnecessary load on systems. Understanding the mechanics of read duplicates, their causes, and…
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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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Serverless Use cases
Serverless architecture, also known as Function as a Service (FaaS), is a cloud computing model where developers write and deploy code without managing the underlying infrastructure. Serverless platforms automatically handle provisioning, scaling, and managing servers, enabling developers to focus on writing application logic rather than managing the environment. Some of the most popular serverless services…
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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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Zero cold Start in Serverless
In serverless computing, a cold start refers to the time it takes for a serverless function to start executing after being invoked for the first time or after a period of inactivity. While serverless platforms like AWS Lambda, Azure Functions, and Google Cloud Functions offer tremendous scalability and flexibility, cold starts can lead to latency…
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GOF Design Pattern
The “Gang of Four” (GOF) Design Patterns, introduced in the seminal book Design Patterns: Elements of Reusable Object-Oriented Software by Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides, revolutionized the world of software engineering by providing a catalog of 23 foundational design patterns. These patterns serve as reusable solutions for common problems encountered during…
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IAF Framework
The Integrated Architecture Framework (IAF) is a structured methodology designed to help organizations develop, manage, and govern their enterprise architecture. Rooted in best practices, IAF provides a holistic approach to aligning business objectives with IT systems, ensuring that architectural decisions support organizational goals while delivering operational efficiency. The framework is often utilized by enterprise architects…
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Domain Driven Design
Domain-Driven Design (DDD) is a set of principles and practices aimed at solving complex software problems by aligning the design of software systems with the business domain they support. Introduced by Eric Evans in his 2003 book Domain-Driven Design: Tackling Complexity in the Heart of Software, DDD emphasizes the importance of understanding the business domain…
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Hardware Load balancer
A Hardware Load Balancer (HLB) is a physical device that is designed to distribute network traffic across multiple servers or resources to ensure high availability, reliability, and scalability of applications. It acts as a traffic manager that efficiently distributes incoming traffic to backend servers, balancing the load and preventing any single server from becoming overwhelmed.…
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Data Lake Integration with Web Infra
A Data Lake serves as a centralized repository that allows businesses to store vast amounts of raw, unstructured, semi-structured, and structured data at scale. When integrated with web infrastructure, a data lake can become a powerful tool for managing and analyzing large datasets generated by web applications, websites, and other web-based sources. This integration facilitates…
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Data Ingestion Architecture
Data ingestion is the process of acquiring, importing, and processing data from various sources into a data storage or processing system. In modern enterprises, data ingestion architecture plays a pivotal role in managing the flow of large volumes of data from disparate sources into systems like data warehouses, data lakes, or analytics platforms. The architecture…
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Reactive programming
Reactive Programming (RP) is a programming paradigm focused on building asynchronous, event-driven systems that react to changes in data or user inputs in real time. It is designed to efficiently handle streams of data and propagate changes through a system with minimal delays. Reactive programming is especially useful in developing applications that require high responsiveness,…
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TOGAF Framework
The Open Group Architecture Framework (TOGAF) is a comprehensive methodology for developing, managing, and governing enterprise architecture (EA). It is a globally recognized framework that provides a structured approach to design, plan, implement, and govern an enterprise’s IT infrastructure. TOGAF is widely used by organizations to align business goals with IT strategies, ensuring that technology…
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Red Teams : SDLC
In the Software Development Life Cycle (SDLC), integrating a Red Team is crucial for proactively identifying vulnerabilities and strengthening security measures through offensive tactics. The Red Team adopts the role of an attacker, mimicking real-world cyber threats to simulate an adversary’s actions. This offensive security approach is designed to test the system’s defenses, uncover weaknesses,…
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Scrypt
Scrypt is a cryptographic algorithm that has garnered significant attention in the realms of secure communications, blockchain technology, and password hashing. Originally designed by Colin Percival in 2009, Scrypt was developed to address some of the vulnerabilities of earlier hashing algorithms, particularly focusing on the increasing computational power of modern hardware. Unlike traditional algorithms like…
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RPC Protocol
Remote Procedure Call (RPC) is a protocol that allows executing a procedure or function on a remote server, as if it were a local procedure. It abstracts the complexities of network communication, enabling developers to focus on functionality rather than the underlying transport mechanisms. RPC is widely used in distributed systems, microservices, and client-server architectures…