Author: Arunangshu Das

APIs are the backbone of modern web and mobile applications, allowing them to communicate seamlessly with backend services. Traditionally, REST (Representational State Transfer) has been the go-to approach for designing APIs, but in recent years, GraphQL has gained immense popularity as a more flexible and efficient alternative. GraphQL, developed by Facebook in 2012 and open-sourced in 2015, is a query language that enables clients to request only the data they need, reducing over-fetching and under-fetching issues common in REST APIs. If you’re still relying solely on REST, you might be missing out on the advantages GraphQL brings to the table.…

Building RESTful APIs is an essential skill for modern software development. Whether you’re developing a microservice architecture, integrating with third-party applications, or building APIs for mobile apps, REST APIs serve as the backbone of communication between systems.But here’s the truth: many developers unintentionally make mistakes that lead to poor API performance, security vulnerabilities, or bad developer experience.So, how can you ensure your RESTful API is well-designed, scalable, and easy to use?1. Ignoring Proper HTTP MethodsOne of the biggest mistakes developers make is misusing HTTP methods. RESTful APIs rely on standard HTTP verbs to perform actions on resources, but developers often…

RESTful APIs (Representational State Transfer) Application Programming Interfaces have become the foundation of modern web and mobile application development. They enable different software systems to communicate efficiently, exchange data securely, and integrate seamlessly across platforms. From e-commerce websites and banking applications to social media platforms and cloud services, RESTful APIs power countless digital experiences that users rely on every day. Built on standard HTTP protocols, RESTful APIs are known for their simplicity, scalability, flexibility, and performance. They allow developers to create applications that are easier to maintain, faster to deploy, and capable of supporting millions of users. Whether you’re developing…

Database transactions are the backbone of modern applications, ensuring data consistency, reliability, and integrity. However, improper transaction management can lead to data corruption, performance bottlenecks, and even system failures. 1. Not Using Transactions When NeededThe MistakeMany developers forget to wrap multiple related database operations in a transaction. If an error occurs midway, only some changes might be applied, leaving the database in an inconsistent state.Example:Consider a bank transfer where we withdraw money from one account and deposit it into another:If the first statement executes but the second one fails (e.g., due to a network issue), the money disappears!The FixWrap related…

Automation tools have revolutionized the way businesses and developers handle repetitive tasks, improving efficiency, accuracy, and scalability. From workflow automation to software development pipelines, automation plays a crucial role in modern tech stacks. However, while these tools promise efficiency, they are not without their downsides. Some come with steep learning curves, hidden costs, or inflexibility that can lead to unexpected bottlenecks. 1. Selenium – The King of UI Test Automation with Fragility Issues What is Selenium? Selenium is the go-to automation tool for browser testing. It allows developers to write test scripts in multiple programming languages (Java, Python, JavaScript, etc.)…

In today’s fast-paced software development world, adopting the right automation tools is essential to scaling engineering efficiency. From routine code formatting and regression testing to multi-cloud deployments and server provisioning, software automation tools eliminate manual bottlenecks across the entire development lifecycle. Instead of losing hours to repetitive debugging or manual build pipelines, modern development teams leverage specialized automation tools to ship cleaner code faster and maintain continuous system reliability. Read more blog: How to Use Copilot in Software Testing Quick Comparison of Top Automation Tools ToolCategoryPrimary Use CaseKey StrengthGitHub ActionsCI/CDWorkflow automation from Git triggersNative GitHub integration & marketplaceSeleniumWeb TestingCross-browser UI…

Databases are the backbone of almost every modern application, from small websites to massive enterprise systems. However, as data grows, so does the challenge of retrieving it efficiently. That’s where database indexing comes into play. An index is a data structure that improves the speed of data retrieval operations at the cost of additional storage and maintenance overhead. Think of it like an index in a book—it helps you quickly find what you’re looking for without scanning every page. 1. Clustered Index (Primary Index) A clustered index determines the physical order of data rows on disk. Because table rows can…

Database indexing is one of those things that can make or break your application’s performance. When done right, it significantly boosts query speed and reduces database load. But when done wrong? It can lead to slow queries, bloated storage, and even system crashes at scale.1. Not Having Any Indexes at AllYes, this happens more often than you’d think. Many developers assume that modern databases are fast enough by default and forget that indexes are what make queries truly efficient.→ Why It’s a ProblemWithout indexes, your database has to scan every row in a table to find the requested data (a full…

Databases power almost every modern application, from social media platforms to financial systems. At the core of reliable databases lies the concept of ACID properties—Atomicity, Consistency, Isolation, and Durability. These properties ensure data integrity, even in the face of system failures, concurrent transactions, or crashes. However, despite ACID’s importance, many developers misunderstand how it works in real-world database management systems (DBMS). These misconceptions often lead to incorrect assumptions about how transactions behave, which can cause performance issues, data corruption, or unnecessary complexity in application logic. 1. Misconception: Atomicity Means “All or Nothing” Always Happens Instantly Many developers think that atomicity…

Have you ever worked with a database that seemed chaotic, filled with redundant data, making queries slow and frustrating? If so, then normalization is your best friend. Database normalization is the process of organizing data efficiently to eliminate redundancy and ensure data integrity. Without proper normalization, databases become bloated, slow, and error-prone, leading to inconsistent records, unnecessary storage consumption, and performance bottlenecks. However, normalization isn’t a one-size-fits-all solution; over-normalization can lead to excessive joins, making queries complex and slow. Database Normalization Overview (1NF to 6NF) Normal FormCore Focus / RuleProblem SolvedSolution Strategy1NF (First Normal Form)Ensures all column values are atomic…