#how to solve maven dependency problem

[react-js-state-1]

Why Java Is Still the King in 2025—and How Cyberinfomines Makes You Job-Ready with It

1. Java in 2025: Still Relevant, Still Dominating Despite the rise of new languages like Python, Go, and Rust, Java is far from dead—it’s actually thriving.

In 2025, Java powers:

40%+ of enterprise backend systems

90% of Android apps

Global banking & fintech infrastructures

E-commerce giants like Amazon, Flipkart & Alibaba

Microservices and cloud-native platforms using Spring Boot

Java is reliable, scalable, and highly in demand. But just learning syntax won’t get you hired. You need hands-on experience, framework expertise, and the ability to solve real-world problems.

That’s exactly what Cyberinfomines delivers.

2. The Problem: Why Most Java Learners Don’t Get Jobs Many students learn Java but still fail to land jobs. Why?

❌ They focus only on theory ❌ They memorize code, don’t build projects ❌ No real understanding of frameworks like Spring Boot ❌ Can’t explain their code in interviews ❌ Lack of problem-solving or debugging skills

That’s where Cyberinfomines’ Training changes the game—we teach Java like it’s used in real companies.

3. How Cyberinfomines Bridges the Gap At Cyberinfomines, we:

✅ Teach Core + Advanced Java with daily coding tasks ✅ Use real-world problem statements (not academic ones) ✅ Give exposure to tools like IntelliJ, Git, Maven ✅ Build full-stack projects using Spring Boot + MySQL ✅ Run mock interviews and HR prep ✅ Help you create a Java portfolio for recruiters

And yes—placement support is part of the package.

4. Java Course Curriculum: Built for the Real World Core Java

Data types, loops, arrays, OOP principles

Exception handling, packages, constructors

File handling & multithreading

Classes vs Interfaces

String manipulation & memory management

Advanced Java

JDBC (Java Database Connectivity)

Servlet Lifecycle

JSP (Java Server Pages)

HTTP Requests & Responses

MVC Design Pattern

Spring Framework + Spring Boot

Dependency Injection & Beans

Spring Data JPA

RESTful API Creation

Security & authentication

Connecting with front-end apps (React/Angular)

Tools Covered

IntelliJ IDEA

Eclipse

Postman

Git & GitHub

MySQL & Hibernate

Live Projects

Library Management System

Employee Leave Tracker

E-Commerce REST API

Blog App with full CRUD

Interview Preparation

DSA using Java

Java-based coding problems

100+ mock interview questions

HR round preparation

Resume writing workshops

5. Who Should Learn Java in 2025? You should choose Java if you are:

 A fresher who wants a strong foundation

 A non-tech graduate looking to switch to IT

 A teacher/trainer who wants to upskill

 A professional aiming for backend roles

 Someone interested in Android development

A student looking to crack placement drives or government IT jobs

6. Real Success Stories from Our Java Learners

Amit (BSc Graduate) – Now working as a Java backend developer at an IT firm in Pune. Built his confidence with live projects and mock tests.

Pooja (Mechanical Engineer) – Switched from core to IT after completing Cyberinfomines’ Java program. Cracked TCS with flying colors.

Rahul (Dropout) – Didn’t finish college but now works remotely as a freelance Spring Boot developer for a US-based startup.

Every story started with zero coding experience. They ended with real jobs.

7. Top Java Careers in 2025 & Salary Trends In-demand roles include:

Java Backend Developer

Full Stack Developer (Java + React)

Android Developer (Java)

Spring Boot Microservices Architect

QA Automation with Java + Selenium

API Developer (Spring + REST)

Starting salary: ₹4.5 – ₹8 LPA (for freshers with strong skills) Mid-level: ₹10 – ₹20 LPA Freelancers: ₹1,000 – ₹2,500/hour

Java is stable, scalable, and pays well.

8. Certifications, Tools & Practical Add-Ons After training, you’ll earn:

Cyberinfomines Java Developer Certificate

Portfolio with at least 3 GitHub-hosted projects

Proficiency in IntelliJ, Maven, Git, MySQL

Resume aligned with Java job descriptions

Interview recordings and performance feedback

9. What Makes Cyberinfomines Java Training Different

✔ Human mentorship, not just videos ✔ Doubt sessions + code reviews ✔ Classes in Hindi & English ✔ Live assignments + evaluation ✔ Placement-oriented approach ✔ No-nonsense teaching. Only what’s needed for jobs.

We focus on you becoming employable, not just completing a course.

10. Final Words: Code Your Future with Confidence Java in 2025 isn’t just relevant—it’s crucial.

And with Cyberinfomines, you don’t just learn Java.

You learn how to:

Solve real problems

Write clean, scalable code

Work like a developer

Get hired faster

Whether you’re starting fresh or switching paths, our Java course gives you the skills and confidence you need to build a future-proof career.

📞 Have questions? Want to get started?

Contact us today: 📧 vidhya.chandel@cyberinfomines.com 📞 +91-8587000904-905, 9643424141 🌐 Visit: www.cyberinfomines.com

[govind-singh]

Kickstarting Your Tech Career A Guide to Landing a Java Full Stack Developer Internship

In today’s competitive job market, gaining hands-on experience is crucial for aspiring developers. One of the most effective ways to bridge the gap between academic learning and real-world application is by securing a Java Full Stack Developer internship. Whether you're a computer science student or a self-taught programmer, this opportunity can significantly accelerate your journey toward becoming a skilled software engineer.

What is a Java Full Stack Developer?

A java full stack developer is a professional capable of working on both the front-end and back-end of web applications. This role requires knowledge of:

Front-end technologies: HTML, CSS, JavaScript, React, or Angular

Back-end development: Java, Spring Boot, REST APIs

Database management: MySQL, PostgreSQL, or MongoDB

Version control: Git and GitHub

Build tools: Maven or Gradle

With this diverse skill set, full stack developers can build dynamic, responsive, and scalable applications from scratch.

Why Pursue a Java Full Stack Developer Internship?

An internship allows you to apply theoretical knowledge in practical settings. Here are some compelling reasons to pursue ajava full stack developer internship:

Hands-on experience: Work on real projects with mentorship from industry professionals.

Skill enhancement: Improve your coding, debugging, and problem-solving skills.

Portfolio building: Add real-world projects to your GitHub or portfolio.

Professional network: Connect with developers, team leads, and HR professionals.

Job readiness: Internships often lead to full-time job offers.

What to Expect During the Internship

During a typical Java Full Stack Developer internship, you might:

Collaborate with cross-functional teams to build and enhance web applications.

Participate in daily stand-ups and Agile development cycles.

Write clean, maintainable code using Java and front-end technologies.

Fix bugs, optimize performance, and implement new features.

Learn about software architecture, security practices, and DevOps basics.

Internships usually last between 3 to 6 months, depending on the company and program structure.

How to Prepare for a Java Full Stack Developer Internship

Here are some tips to boost your chances of landing and succeeding in a Java Full Stack Developer internship:

Master the fundamentals of Java and object-oriented programming.

Build a strong foundation in HTML, CSS, JavaScript, and a front-end framework (like React).

Learn Spring Boot for back-end development.

Complete mini-projects to demonstrate your skills.

Create a GitHub portfolio showcasing your code and applications.

Practice coding challenges on platforms like LeetCode, HackerRank, or Codeforces.

Prepare for interviews by revising data structures, algorithms, and system design basics.

Conclusion

A java full stack developer internship is more than just a stepping stone—it’s a launchpad for a successful tech career. By building full stack applications, collaborating with experienced professionals, and learning industry best practices, you'll be well-equipped to face the challenges of a full-time development role. So, if you're serious about becoming a full stack developer, start preparing today and grab every opportunity that comes your way.

[sruthypm]

Techmindz: Leading Java Courses in Ernakulam to Kickstart Your IT Career

In today’s rapidly evolving tech landscape, Java continues to be one of the most sought-after programming languages for software development. Whether you are a fresh graduate or a professional looking to enhance your skills, enrolling in a Java course in Ernakulam can open the doors to numerous career opportunities in the world of IT.

Techmindz, located in the heart of Infopark, Kochi, offers industry-centric Java courses designed to help you master the fundamentals and advanced concepts of Java programming. Let’s take a closer look at why Techmindz is the perfect choice for your Java learning journey.

Why Choose Techmindz for Java Courses in Ernakulam?

Techmindz has established itself as a premier institution for tech training in Kerala, known for its comprehensive and hands-on approach to learning. The institution offers a range of Java courses that cater to both beginners and experienced developers. Here's why you should choose Techmindz for your Java learning:

Industry-Aligned Curriculum Techmindz’s Java course is designed with input from industry experts, ensuring that the content is up-to-date and aligned with the needs of the modern job market. You’ll learn not just basic Java syntax, but also how to build real-world applications using Java frameworks like Spring, Hibernate, and more.

Experienced Trainers The trainers at Techmindz are seasoned professionals with years of experience in Java development. They bring a wealth of knowledge, real-world insights, and practical tips, making the learning experience highly valuable.

Hands-On Learning At Techmindz, theoretical knowledge is paired with practical application. Students work on live projects, coding challenges, and problem-solving sessions, ensuring that they gain the skills needed to excel in real-world Java development.

Placement Assistance Techmindz provides excellent placement support, helping students connect with top companies in Ernakulam and beyond. With a network of hiring partners, Techmindz ensures that graduates are job-ready and well-prepared to face interviews.

Flexible Batch Options Understanding that students have different schedules, Techmindz offers both weekday and weekend batches for its Java courses in Ernakulam. Whether you are a student or a working professional, you can choose the batch that fits your schedule.

What Will You Learn in Techmindz’s Java Courses?

Techmindz’s Java course in Ernakulam covers everything from basic to advanced topics. Here��s an overview of the key concepts you’ll learn:

Core Java Concepts: Learn the fundamentals of Java programming including variables, loops, conditionals, and functions.

Object-Oriented Programming (OOP): Understand the four pillars of OOP – encapsulation, inheritance, polymorphism, and abstraction – to write modular and reusable code.

Data Structures and Algorithms: Gain proficiency in key data structures like arrays, linked lists, stacks, queues, and trees, and understand the algorithms used to solve common programming problems.

Java Collections Framework: Dive deep into collections like lists, sets, maps, and queues, which are essential for building efficient Java applications.

Exception Handling: Learn how to handle errors and exceptions effectively to make your Java applications robust.

Java Development Tools: Get hands-on experience with Java IDEs like Eclipse and IntelliJ IDEA, as well as build automation tools like Maven and Gradle.

Database Integration: Learn how to work with databases using Java Database Connectivity (JDBC) to create data-driven applications.

Frameworks and Technologies: Explore popular Java frameworks like Spring and Hibernate for building enterprise-level applications.

Course Duration and Delivery Modes

Techmindz’s Java course is designed to accommodate both full-time and part-time learners. The duration of the course typically ranges from 2 to 3 months, depending on your chosen batch and learning pace. The delivery modes include:

Classroom Sessions: Engage in interactive sessions with industry experts at Techmindz's modern campus in Infopark, Ernakulam.

Online Classes: For those who are unable to attend in person, Techmindz offers live online classes with the same quality of instruction.

Self-Paced Learning: You’ll also have access to recorded sessions, allowing you to learn at your own pace.

Who Should Enroll in Java Courses at Techmindz?

Techmindz’s Java courses in Ernakulam are suitable for:

Beginners: If you are new to programming or coming from a non-technical background, Techmindz’s beginner-friendly curriculum will guide you step-by-step through the concepts of Java.

Experienced Programmers: If you already have basic programming knowledge and want to deepen your Java skills, Techmindz’s advanced modules will prepare you for complex real-world scenarios.

Professionals Seeking Career Change: If you are a working professional looking to shift into Java development, this course provides the necessary skills and knowledge to transition smoothly.

Start Your Journey Today!

The demand for skilled Java developers is at an all-time high, and enrolling in Techmindz’s Java course in Ernakulam can provide you with the expertise you need to succeed in this competitive field. With expert trainers, a practical curriculum, and excellent placement support, Techmindz is the ideal place to take your Java skills to the next level.

To get started, visit Techmindz and book your spot in the next batch. You can also walk into our Ernakulam or Infopark campus for personalized counseling. Don’t miss out on the opportunity to enhance your skills and build a successful career as a Java developer!

This article is fully optimized for SEO with the keyword "Java Courses in Ernakulam" and is written in a way that helps boost Techmindz’s visibility online. Let me know if you would like any changes or further optimizations!

[codingbrushup]

The Ultimate Roadmap to Web Development – Coding Brushup

In today's digital world, web development is more than just writing code—it's about creating fast, user-friendly, and secure applications that solve real-world problems. Whether you're a beginner trying to understand where to start or an experienced developer brushing up on your skills, this ultimate roadmap will guide you through everything you need to know. This blog also offers a coding brushup for Java programming, shares Java coding best practices, and outlines what it takes to become a proficient Java full stack developer.

Why Web Development Is More Relevant Than Ever

The demand for web developers continues to soar as businesses shift their presence online. According to recent industry data, the global software development market is expected to reach $1.4 trillion by 2027. A well-defined roadmap is crucial to navigate this fast-growing field effectively, especially if you're aiming for a career as a Java full stack developer.

Phase 1: The Basics – Understanding Web Development

Web development is broadly divided into three categories:

Frontend Development: What users interact with directly.

Backend Development: The server-side logic that powers applications.

Full Stack Development: A combination of both frontend and backend skills.

To start your journey, get a solid grasp of:

HTML – Structure of the web

CSS – Styling and responsiveness

JavaScript – Interactivity and functionality

These are essential even if you're focusing on Java full stack development, as modern developers are expected to understand how frontend and backend integrate.

Phase 2: Dive Deeper – Backend Development with Java

Java remains one of the most robust and secure languages for backend development. It’s widely used in enterprise-level applications, making it an essential skill for aspiring Java full stack developers.

Why Choose Java?

Platform independence via the JVM (Java Virtual Machine)

Strong memory management

Rich APIs and open-source libraries

Large and active community

Scalable and secure

If you're doing a coding brushup for Java programming, focus on mastering the core concepts:

OOP (Object-Oriented Programming)

Exception Handling

Multithreading

Collections Framework

File I/O

JDBC (Java Database Connectivity)

Java Coding Best Practices for Web Development

To write efficient and maintainable code, follow these Java coding best practices:

Use meaningful variable names: Improves readability and maintainability.

Follow design patterns: Apply Singleton, Factory, and MVC to structure your application.

Avoid hardcoding: Always use constants or configuration files.

Use Java Streams and Lambda expressions: They improve performance and readability.

Write unit tests: Use JUnit and Mockito for test-driven development.

Handle exceptions properly: Always use specific catch blocks and avoid empty catch statements.

Optimize database access: Use ORM tools like Hibernate to manage database operations.

Keep methods short and focused: One method should serve one purpose.

Use dependency injection: Leverage frameworks like Spring to decouple components.

Document your code: JavaDoc is essential for long-term project scalability.

A coding brushup for Java programming should reinforce these principles to ensure code quality and performance.

Phase 3: Frameworks and Tools for Java Full Stack Developers

As a full stack developer, you'll need to work with various tools and frameworks. Here’s what your tech stack might include:

Frontend:

HTML5, CSS3, JavaScript

React.js or Angular: Popular JavaScript frameworks

Bootstrap or Tailwind CSS: For responsive design

Backend:

Java with Spring Boot: Most preferred for building REST APIs

Hibernate: ORM tool to manage database operations

Maven/Gradle: For project management and builds

Database:

MySQL, PostgreSQL, or MongoDB

Version Control:

Git & GitHub

DevOps (Optional for advanced full stack developers):

Docker

Jenkins

Kubernetes

AWS or Azure

Learning to integrate these tools efficiently is key to becoming a competent Java full stack developer.

Phase 4: Projects & Portfolio – Putting Knowledge Into Practice

Practical experience is critical. Try building projects that demonstrate both frontend and backend integration.

Project Ideas:

Online Bookstore

Job Portal

E-commerce Website

Blog Platform with User Authentication

Incorporate Java coding best practices into every project. Use GitHub to showcase your code and document the learning process. This builds credibility and demonstrates your expertise.

Phase 5: Stay Updated & Continue Your Coding Brushup

Technology evolves rapidly. A coding brushup for Java programming should be a recurring part of your development cycle. Here’s how to stay sharp:

Follow Java-related GitHub repositories and blogs.

Contribute to open-source Java projects.

Take part in coding challenges on platforms like HackerRank or LeetCode.

Subscribe to newsletters like JavaWorld, InfoQ, or Baeldung.

By doing so, you’ll stay in sync with the latest in the Java full stack developer world.

Conclusion

Web development is a constantly evolving field that offers tremendous career opportunities. Whether you're looking to enter the tech industry or grow as a seasoned developer, following a structured roadmap can make your journey smoother and more impactful. Java remains a cornerstone in backend development, and by following Java coding best practices, engaging in regular coding brushup for Java programming, and mastering both frontend and backend skills, you can carve your path as a successful Java full stack developer.

Start today. Keep coding. Stay curious.

[souhaillaghchimdev]

Developing Open Source Programming Libraries

Open source libraries are essential tools that drive innovation and collaboration in the programming world. They help developers save time, encourage knowledge sharing, and improve software quality. If you've ever thought about giving back to the developer community, building your own open source library is a fantastic way to start.

What is a Programming Library?

A programming library is a collection of reusable code, functions, or classes that help developers perform common tasks without rewriting code from scratch. Examples include libraries for handling dates, making HTTP requests, or performing complex mathematical operations.

Why Build an Open Source Library?

Contribute to the community: Help other developers solve problems and build better software.

Enhance your skills: Learn software design, testing, and documentation.

Build your reputation: Demonstrate your knowledge and gain recognition in the dev community.

Get feedback: Collaborate with developers from around the world and improve your code.

Steps to Build an Open Source Library

Identify a Problem: Find a common pain point or a repetitive task that you can simplify with code.

Plan Your Library: Outline features, structure, and language-specific conventions.

Write Clean Code: Use modular, readable, and well-documented code.

Include Tests: Unit and integration tests ensure your library works as expected.

Write Documentation: Explain how to install, use, and contribute to your library.

Choose a License: Pick an open source license (like MIT, GPL, Apache) to define how others can use your code.

Publish Your Library: Share it on GitHub and package it for ecosystems like npm (JavaScript), PyPI (Python), or crates.io (Rust).

Tools You Might Use

Git & GitHub: For version control and collaboration.

CI/CD Tools: Like GitHub Actions for automating tests and deployments.

Package Managers: npm, pip, Maven, etc., depending on your language.

Documentation Tools: JSDoc, Sphinx, or MkDocs to generate professional docs.

Best Practices

Keep your code simple and focused on solving one problem well.

Write thorough documentation and usage examples.

Be responsive to issues and pull requests.

Encourage contributions and create a welcoming community.

Use semantic versioning (SemVer) for clear version management.

Example: A Simple JavaScript Utility Library

Here's a snippet of a function that could go in a utility library: // utils.js export function capitalize(str) { return str.charAt(0).toUpperCase() + str.slice(1); }

You can package this as an npm module and publish it with clear usage instructions and tests.

Conclusion

Building an open source library is a great way to level up as a programmer while making a real impact. Whether it's a simple utility or a full-featured framework, your library can help others while showcasing your skills. Start small, stay consistent, and join the world of open source contributors!

[appwarsblogs]

Java Full Stack vs. Other Tech Stacks: Why Choose Java for Your Career?

The technology landscape offers a plethora of options for developers, from Python and JavaScript to emerging technologies like Go and Rust. Among these, Java Full Stack Development remains a steadfast choice for aspiring and seasoned developers. With its robustness, scalability, and extensive ecosystem, Java continues to dominate the tech world. Let's explore how Java Full Stack compares to other popular stacks and why choosing Java can be a career-defining decision—especially with the expert guidance of Appwars Technologies.

Understanding Java Full Stack Development

A Java Full Stack developer is proficient in both front-end and back-end development using Java-based tools and frameworks. Typically, a Java Full Stack includes:

Front-end: HTML, CSS, JavaScript, frameworks like Angular or React

Back-end: Java, Spring Boot, Hibernate

Database: MySQL, PostgreSQL, or MongoDB

Tools & Platforms: Maven, Docker, Kubernetes

This stack equips developers with the versatility to create dynamic, scalable, and secure web applications.

Comparison: Java Full Stack vs. Other Tech Stacks

1. Java Full Stack vs. MERN Stack

The MERN Stack (MongoDB, Express.js, React, Node.js) is a favorite among startups for rapid development. However, it often lacks the enterprise-level robustness Java provides.

Advantages of Java Full Stack:

Scalability: Ideal for large, complex systems like banking and healthcare applications.

Security: Java’s built-in features and frameworks like Spring ensure enterprise-grade security.

Performance: Java's JVM optimizes performance for high-traffic applications.

MERN Strengths: rapid prototyping and ease of learning, but limited in handling enterprise-grade requirements.

2. Java Full Stack vs. MEAN Stack

The MEAN Stack (MongoDB, Express.js, Angular, Node.js) is similar to MERN but replaces React with Angular.

Advantages of Java Full Stack:

Stability: Long-term support and stability make Java preferable for industries requiring longevity.

Ecosystem: Tools like Spring and Hibernate provide unmatched ORM and dependency injection support.

MEAN Strengths: Suitable for modern single-page applications, but it struggles with the complexity of legacy system integration.

3. Java Full Stack vs. Python-Django Stack

The Python-Django Stack excels in rapid development and data-centric applications.

Advantages of Java Full Stack:

Multithreading: Java supports efficient multithreading for high-performance applications.

Platform Independence: Java’s "write once, run anywhere" approach ensures cross-platform compatibility.

Python-Django strengths: faster development cycles and simpler syntax, but it may lack the same level of performance and scalability for larger systems.

4. Java Full Stack vs..NET Stack

The.NET Stack, powered by Microsoft, is a close competitor to Java, particularly in enterprise development.

Advantages of Java Full Stack:

Open-Source: Java's open-source nature and extensive libraries offer flexibility without vendor lock-in.

Cross-Platform: Java runs seamlessly across multiple operating systems, while .NET heavily leans on Windows environments.

.NET Strengths: Superior integration with Microsoft products but limited flexibility outside the Microsoft ecosystem.

Why Choose Java for Your Career?

High Demand and Stability Java remains one of the most in-demand programming languages globally. Companies across industries—finance, healthcare, retail, and more—rely on Java for mission-critical applications.

Extensive Community Support With decades of development and a thriving community, Java developers have access to a wealth of resources, tutorials, and libraries to solve problems efficiently.

Scalability and Performance Java's ability to handle complex, high-traffic systems makes it the go-to choice for enterprises.

Diverse Career Opportunities Java Full Stack developers are versatile, opening doors to roles like software engineer, solution architect, and technical lead.

Appwars Technologies: Your Gateway to Java Full Stack Excellence

Transitioning to a Java Full Stack career requires the right training and mentorship. Appwars Technologies, with its expert AI-driven learning solutions and comprehensive tech training programs, is the ideal partner for your career growth.

Customized Learning Paths: tailored programs to match your skill level, from beginner to advanced.

Hands-On Projects: real-world projects that simulate enterprise challenges.

Industry-Recognized Certification: Enhance your resume with certifications trusted by leading employers.

Expert Mentorship: Learn from experienced professionals with deep expertise in Java and modern development practices.

Conclusion

While other tech stacks have their strengths, Java Full Stack Development stands out for its robustness, scalability, and versatility—qualities that are critical for long-term career success. With Appwars Technologies, you gain not just technical skills but also the confidence to tackle real-world challenges, making you a standout candidate in the competitive job market.

Take the leap into a rewarding career with Java Full Stack development today! Appwars Technologies is here to guide you every step of the way.

[samiinfotech1]

Comprehensive Full Stack Java Developer Course in Seawoods: A Pathway to a Rewarding Tech Career

The demand for skilled Java developers continues to rise as industries increasingly rely on robust applications and dynamic web solutions. For anyone looking to break into this field or enhance their coding capabilities, a Full Stack Java Developer Course in Seawoods can be the key. In Seawoods, a fast-growing tech hub, numerous educational institutions now offer specialized training programs designed to equip students with the full stack skills that top employers seek.

Why Choose Full Stack Java Development?

Java remains a cornerstone language in software development due to its versatility, performance, and extensive libraries. A full stack Java developer can handle both the front-end and back-end aspects of applications, making them invaluable to teams that need streamlined project workflows. Mastering full stack Java enables developers to work across various layers of application architecture, from databases to UI/UX, enhancing their adaptability and problem-solving skills.

Course Outline and Skills Covered

A well-rounded Full Stack Java Developer course in Seawoods is structured to take students from foundational concepts to advanced practices. Courses typically cover core Java programming and object-oriented concepts before advancing to back-end and front-end technologies, as well as frameworks for streamlined development.

Key areas of focus include:

Java Fundamentals: Students start with Java basics, learning about variables, loops, classes, and object-oriented programming. These core principles lay the groundwork for tackling more complex applications.

Web Development Essentials: HTML, CSS, and JavaScript form the backbone of front-end development. These courses teach students how to build user-friendly interfaces and responsive web pages, ensuring seamless experiences across devices.

Advanced Java Frameworks: Learning Java frameworks like Spring and Hibernate helps developers create robust back-end systems. The Spring framework, especially with its modules like Spring Boot and Spring MVC, simplifies the building of complex enterprise applications. Hibernate, on the other hand, aids in mapping Java classes to database tables, enhancing data management capabilities.

Database Management: Proficiency in managing databases is critical for full stack developers. SQL, along with NoSQL databases like MongoDB, is often included in the course. Students learn how to create, update, and manage databases efficiently.

Tools and Version Control: Courses include training on essential tools like Git and GitHub for version control, Maven for dependency management, and Docker for containerization, helping students work in agile development environments.

Project Work and Practical Application: One of the most valuable parts of a full stack Java course is real-world project work. By creating a complete application from scratch, students gain practical insights into the entire development process, from initial setup to deployment and testing.

Benefits of Studying in Seawoods

Seawoods is rapidly emerging as a technology hub with a supportive ecosystem for budding developers. The area boasts numerous tech companies, allowing students to find internship opportunities and build valuable industry connections. Additionally, many institutes in Seawoods have strong placement support, which can lead to job placements upon course completion.

Who Can Enroll?

The Full Stack Java Developer course in Seawoods is open to a wide range of individuals. While prior programming experience can be beneficial, many courses start with foundational concepts suitable for beginners. Those with backgrounds in other programming languages can also benefit from this course to enhance their Java skills and transition to full stack development.

Career Opportunities for Graduates

Completing a Full Stack Java Developer course opens doors to diverse career opportunities. Full stack Java developers are in high demand across industries like finance, e-commerce, healthcare, and more. Roles such as Junior Java Developer, Full Stack Developer, Back-End Developer, and Software Engineer are just some of the positions available to graduates.

Final Thoughts

For anyone interested in a rewarding tech career, the Full Stack DotNet Development Course in Nerul offers a comprehensive education in modern software development. By mastering both front-end and back-end technologies and gaining hands-on experience, students can graduate with a competitive skill set and confidence to enter the job market. With Seawoods’ booming tech scene, students are well-positioned to start their career journey in full stack Java development and tap into the many exciting opportunities that await.

[blockchaincouncil]

Impact of Artificial Intelligence in National Security

Artificial intelligence (AI) is reshaping the way nations approach military strategies and global influence. While many people associate military AI with science fiction and killer robots, the reality is that AI has become a central focus in national security discussions. The implications of AI in the military are capturing global attention, from existential threats warned by philosopher Nick Bostrom to concerns about AI sparking World War III, as highlighted by Elon Musk, and Vladimir Putin's assertions about AI leadership.

AI as a National Security Facilitator

AI is not a weapon in and of itself; rather, it serves as an enabler, similar to electricity or the combustion engine. The impact of artificial intelligence on military power and international conflict is determined by how it is applied. In this article, we will look at the most important aspects of AI's military applications, such as defining AI, comparing it to previous technological advancements, potential military applications, limitations, and the implications for international politics.

The primary benefit of AI is its ability to increase the speed and precision of various military functions such as logistics, battlefield planning, and decision-making. For the United States military, artificial intelligence (AI) represents an opportunity to maintain military superiority while potentially lowering costs and reducing risks to its soldiers. Meanwhile, countries such as Russia and China see artificial intelligence as a means to challenge the United States' military dominance. This competition for AI leadership encompasses more than just military might; it also includes economic competition and global influence.

Nonetheless, the future of AI research is uncertain. There is always the risk that AI will not deliver on its promises, and concerns about safety and reliability may limit its military applications.

AI Understanding

Artificial intelligence (AI) is the use of machines or computers to simulate tasks that previously required human intelligence. Researchers, businesses, and governments all use AI techniques like machine learning and neural networks. While some predict imminent breakthroughs that will lead to Artificial General Intelligence (AGI), others envision a decades-long timeline. This article focuses primarily on "narrow" AI, which is used to solve specific problems.

In terms of history, AI is a versatile technology with the potential to impact various aspects of the economy and society, depending on the rate of innovation. For the military, AI should be viewed as a tool rather than a weapon in and of itself.

Various AI Military Applications

AI has a wide range of potential military applications. To begin, many modern militaries struggle with rapidly processing massive amounts of data. Narrow AI applications can speed up data processing, freeing up human resources for more complex tasks. Project Maven, for example, aims to use algorithms to quickly interpret drone surveillance images. This technology can be extended to process public or classified databases, improving information interpretation and decision-making.

Second, the pace of warfare is quickening, and AI has the potential to play a critical role. Unmanned aircraft, for example, can operate more quickly and efficiently than their human-piloted counterparts. These AI-powered systems are especially useful in scenarios such as air defense, where quick decisions are required.

Third, AI can enable novel military concepts like the "loyal wingman" concept, in which AI systems assist human pilots or tank operators. AI can aid in the effective coordination of multiple assets and swarms in complex battles.

Militaries around the world are being enticed to investigate AI applications that can improve their effectiveness. These incentives are driven by internal political and bureaucratic factors, rather than competition with other militaries. Autonomous systems have the potential to perform tasks at lower costs and with fewer risks to human personnel in democracies like the United States. Autocratic regimes such as China and Russia, on the other hand, see AI as a tool for exerting control and reducing reliance on larger segments of the population.

The military applications of artificial intelligence (AI) go beyond lethal autonomous weapons, which have been debated at the United Nations. AI can be used in a variety of military contexts, including lethal autonomous systems.

AI Implementation Challenges

There are challenges to effectively deploying AI in the military. AI systems, particularly narrow AI, are designed to perform specific tasks, and their dependability can be jeopardized if the context changes rapidly. Predicting AI system behavior can be difficult as well, potentially complicating military planning and operations. Bias, training data, and explainability issues exacerbate the complexity.

Concerns about cybersecurity loom large as well, as AI systems are vulnerable to hacking and adversarial data manipulation. Adversaries may attempt to destabilize AI systems by tampering with the data used to train them.

Despite these difficulties, militaries are unlikely to abandon AI research. The types of AI systems developed and their integration into military operations may be influenced by issues of safety and reliability.

Certification of Artificial Intelligence Expertise for the Future of Military and Defense

The value of AI certification courses in the evolving military and defense landscape cannot be overstated. As the article delves into the transformative potential of artificial intelligence in modern warfare, it becomes clear that having qualified AI professionals is critical. Individuals with AI expert certification have the knowledge and skills to harness the power of AI in military applications.

These certifications help to ensure that professionals understand the complexities of AI technology. In a world where artificial intelligence's role in military operations is growing, AI developer certifications provide critical assurances of competence and understanding of what is AI certification, both in terms of safety and reliability. They are critical in ensuring that the promises of artificial intelligence in military and defense are realized while minimizing the risks associated with its application.

As a result, AI certification exams serve as a springboard for developing AI experts capable of driving innovation and progress in the military domain, ultimately shaping the future of war and defense.

Finally, the impact of AI on military power and the future of warfare is becoming an increasingly important topic. To stay ahead of potential adversaries, leading military forces around the world are investing in AI research. Concerns about safety and reliability are valid, but they may not prevent AI military integration from proceeding. Safety issues have been overcome in the past, resulting in significant improvements in military capabilities, according to the history of technological advancements. The implications of artificial intelligence go beyond military power, affecting the future of work and society as a whole. As AI technology progresses, militaries will need to strike a balance between capability and dependability in order to fully realize AI's potential while mitigating risks.

In this changing environment, AI certification is critical in preparing professionals for the challenges and opportunities presented by AI in the military. Platforms such as Blockchain Council offer important AI certification courses to ensure that individuals and military experts are well-prepared to navigate the complex world of AI in military and defense. These platforms enable professionals to become certified chatbot experts and excel in cutting-edge AI chatbots through AI prompt engineer certification and chatbot certification programs, ultimately contributing to the effective integration of AI in the military and defense.

[javaproglanguage]

Java's key topics and concepts

Java Full Course,

1. Java Fundamentals: Start with the basics, including variables, data types, operators, and control flow. Understand how to write, compile, and run Java programs.

2. Object-Oriented Programming (OOP): Java is an object-oriented language, so grasp core OOP concepts like classes, objects, inheritance, polymorphism, and encapsulation.

3. Exception Handling: Learn how to handle exceptions using try-catch blocks to write robust and error-tolerant code.

4. Collections Framework: Explore Java's extensive collections library, including ArrayList, HashMap, HashSet, and others, for efficient data storage and manipulation.

5. Multithreading: Java provides built-in support for multithreading, enabling concurrent execution. Understand threads, synchronization, and thread safety for developing responsive applications.

6. File I/O: Learn how to read from and write to files using Java's File I/O API.

7. Java Virtual Machine (JVM): Understand how Java code is executed by the JVM, including memory management, bytecode execution, and garbage collection.

8. Java GUI Programming: Explore JavaFX and Swing for creating graphical user interfaces (GUIs) in desktop applications.

9. Web Development: Delve into Java Servlets and JavaServer Pages (JSP) for building dynamic web applications.

10. Frameworks: Familiarize yourself with popular Java frameworks like Spring (for enterprise applications) and Hibernate (for database access).

11. Build Tools: Learn to use build automation tools like Maven and Gradle to manage project dependencies and build processes efficiently.

12. Unit Testing: Practice writing unit tests using JUnit or TestNG to ensure code reliability and quality.

13. Java 8+ Features: Explore features introduced in Java 8, such as lambdas, streams, and the java.time package, for modernizing Java development.

14. Android Development: If interested in mobile app development, Java is a primary language for Android development. Learn to create Android apps.

15. Security: Understand Java security principles, secure coding practices, and how to handle vulnerabilities to write secure applications.

16. Best Practices: Follow coding best practices, design patterns, and performance optimization techniques to write clean, efficient, and maintainable code.

17. IDEs and Tools: Familiarize yourself with Java IDEs like Eclipse, IntelliJ IDEA, or NetBeans for efficient development.

18. Community and Resources: Join the Java developer community, participate in forums, and utilize online resources and documentation for continuous learning and problem-solving.

By mastering these Java topics, you'll be well-equipped to develop a wide range of applications, from desktop software to web and mobile applications, and contribute effectively to the Java development community.

[codingclassesinchandigarh]

Introduction to Programming

A Beginner-Friendly Roadmap to the Digital World

Programming is the process of giving computers a precise set of instructions so they can perform tasks, solve problems, or entertain us with games and apps. From the navigation system in your car to the streaming service on your phone, nearly every modern convenience relies on code written by developers. This article offers a concise yet comprehensive introduction to programming, covering its purpose, core concepts, common languages, learning strategies, and career paths.

Why Learn Programming?

Problem-Solving Power – Coding teaches you to break big challenges into manageable steps.

Career Flexibility – Developers work in fields as diverse as healthcare, finance, space exploration, and entertainment.

Automation & Efficiency – Scripts can handle repetitive tasks, freeing humans for creative work.

Innovation & Impact – Apps, websites, and AI systems all start as lines of code.

Fundamental Concepts

ConceptWhat It MeansQuick ExampleVariablesNamed storage for dataage = 30Data TypesCategories such as integers, strings, Booleans3.14, "Hello"Control FlowDecision-making & loopsif, for, whileFunctionsReusable code blocks that perform tasksdef greet(name):Data StructuresOrganized collections like lists, dictionaries, stacksshopping_list = ["milk", "bread"]

Mastering these basics lets you read and write code across many languages.

The Four Main Programming Paradigms

Procedural – Step-by-step instructions (e.g., C).

Object-Oriented – Code organized into objects (e.g., Java, Python).

Functional – Emphasizes pure functions and immutability (e.g., Haskell, Scala).

Scripting – Automates tasks and glues systems together (e.g., JavaScript, Bash).

Choosing a paradigm depends on the problem you’re trying to solve and your personal preference.

Popular Languages and Their Use Cases

Python – Data science, automation, web back-ends.

JavaScript – Interactive websites, serverless functions.

Java & Kotlin – Android apps, large-scale enterprise software.

C & C++ – Operating systems, game engines, embedded devices.

Swift – iOS and macOS development.

Tools of the Trade

Integrated Development Environments (IDEs) – Visual Studio Code, IntelliJ, or Android Studio speed up coding classes with autocomplete and debugging.

Version Control – Git tracks changes and supports collaboration.

Package Managers – npm, pip, or Maven handle external libraries efficiently.

Cloud Platforms – AWS, Azure, and Google Cloud deploy applications globally.

Learning Strategies for New Programmers

Start Small, Build Often – Create simple programs (a calculator, a to-do list) before attempting large projects.

Read the Docs – Official documentation clarifies syntax and best practices.

Practice Daily – Consistency beats cramming; even 30 minutes a day adds up.

Join a Community – Online forums, local meet-ups, or study groups provide support and feedback. The synergy of tech skills with clear communication—inspired by courses like the Best Content writing classes in Cahndigarh—can also sharpen how you document and present your code.

Contribute to Open Source – Real-world code reviews are invaluable learning experiences.

Bridging Programming with Other Disciplines

Programming enhances many professions:

Design – Front-end developers turn mock-ups into interactive experiences.

Data Analysis – Analysts use Python or R to transform raw data into insights.

Marketing – Automation scripts handle email campaigns and SEO audits.

Content Creation – Developers build custom plugins and analytics tools for writers, podcasters, and video editors.

Career Pathways

RoleTypical SkillsExample Projects Web DeveloperHTML/CSS, JavaScript, React E-commerce sites, web appsMobile DeveloperSwift, Kotlin, Flutter Fitness trackers, finance apps Data Engineer SQL, Python, HadoopData pipelines, ETL processesDevOps EngineerDocker, Kubernetes, CI/CD Scalable cloud deployments Game DeveloperC++, Unity or Unreal Engine2D/3D games, VR experiences

Common Beginner Pitfalls (and How to Avoid Them)

Skipping Fundamentals – Dive into syntax but also learn problem-solving foundations.

Tutorial Hell – Move from following tutorials to building original projects sooner rather than later.

Fear of Errors – Bugs are normal; use debugging tools and embrace iteration.

Learning in Isolation – Share your code for feedback and pair-program with peers.

Conclusion

Programming is both an art and a science. It empowers you to automate tasks, create innovative solutions, and communicate with machines in structured, logical ways. Start small, stay curious, and leverage community resources to keep your momentum. With practice, perseverance, and a willingness to learn, you’ll soon transform ideas into functional software—and perhaps inspire others to code as well.

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Maven Dependency Problem Solved Fixing the Maven Dependency Download Problem

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Sometime maven is unable to download dependency due to certificate issue. Maven throws following errors due to missing trusted certificate in Java keystore. “Maven: unable to find valid certification path to requested target” “Unable to get resource from repository central” “Error transferring file sun.security.validator.ValidatorException” “PKIX path building…

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Eclipse Mysql Driver Jar Download

Odbc Mysql Driver Download

Download Mysql Driver For Java

Mysql Driver Download

Jdbc Driver For Mysql Download

Mysql Driver Jar File

Active4 years, 7 months ago

Create and Export MySQL JDBC driver. In the file system extract the MySQL driver JAR from the downloaded MySQL ZIP file to the downloads folder: In your Eclipse. MySQL Native Driver for PHP; Other Downloads. MySQL Connector/J is the official JDBC driver for MySQL. MySQL Connector/J 8.0 is compatible with all MySQL. I have downloaded the mysql-connector-java-5.1.24-bin.jar I. How to add the JDBC mysql driver to an Eclipse. After this you will find that the.jar driver. Download JDBC driver JAR files for MySQL, SQL Server, Oracle, PostgreSQL, SQLite, Derby, Microsoft Access. Maven dependency is also included. MySQL Native Driver for PHP; Other Downloads; Download Connector/J MySQL open source software is provided. MySQL Connector/J is the official JDBC driver for MySQL. I have the jar file: mysql-connector-java-5.1.14-bin.jar and I. How to add mysql driver jar file in eclipse. How to add the JDBC mysql driver to an Eclipse.

This question already has an answer here:

Download JDBC driver JAR files for MySQL, SQL Server, Oracle, PostgreSQL, SQLite, Derby, Microsoft Access. Maven dependency is also included.

How to install JDBC driver in Eclipse web project without facing java.lang.ClassNotFoundexception 13 answers

I have downloaded the mysql-connector-java-5.1.24-bin.jar

I have created a lib folder in my project and put the jar in there.

properties of project->build path->add JAR and selected the JAR above.

I still get java.sql.SQLException: No suitable driver found for jdbc:mysql//localhost:3306/mysql

I am using mysql 5.5The code:

If I add Class.forName('com.mysql.jdbc.Driver'); before Connection connection = DriverManager.getConnection(mySqlUrl, userInfo); I get java.lang.ClassNotFoundException: com.mysql.jdbc.Driver

Itay Moav -Malimovka

Itay Moav -MalimovkaItay Moav -Malimovka

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marked as duplicate by BalusC javaOct 9 '15 at 7:58

This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question. https://renewadvance265.tumblr.com/post//vrmlpad-30-crack-free-download.

7 Answers

Try to insert this:

before getting the JDBC Connection.

niculareniculare

1: I have downloaded the mysql-connector-java-5.1.24-bin.jar

Okay.

2: I have created a lib folder in my project and put the jar in there.

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Wrong. You need to drop JAR in /WEB-INF/lib folder. You don't need to create any additional folders.

3: properties of project->build path->add JAR and selected the JAR above.

Odbc Mysql Driver Download

Unnecessary. Undo it all to avoid possible conflicts.

4: I still get java.sql.SQLException: No suitable driver found for jdbc:mysql//localhost:3306/mysql

This exception can have 2 causes:

JDBC driver is not in runtime classpath. This is to be solved by doing 2) the right way.

JDBC URL is not recognized by any of the loaded JDBC drivers. Indeed, the JDBC URL is wrong, there should as per the MySQL JDBC driver documentation be another colon between the scheme and the host.

BalusCBalusC

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You can paste the .jar file of the driver in the Java setup instead of adding it to each project that you create. Paste it in C:Program FilesJavajre7libext or wherever you have installed java.

After this you will find that the .jar driver is enlisted in the library folder of your created project(JRE system library) in the IDE. No need to add it repetitively.

Vaibhav JoshiVaibhav Joshi

copy mysql-connector-java-5.1.24-bin.jar

Paste it into Apache Software FoundationTomcat 6.0lib<--here-->

Restart Your Server from Eclipes.

Done

DipanjanDipanjan

you haven't loaded driver into memory. use this following in init()

Also, you missed a colon (:) in url, use this

AnkitAnkit

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if you are getting this exception again and again then download my-sql connector and paste in tomcat/WEB-INF/lib folder..note that some times WEB-INF folder does not contains lib folder, at that time manually create lib folder and paste mysql connector in that folder.definitely this will work.if still you got problem then check that your jdk must match your system. i.e if your system is 64 bit then jdk must be 64 bit

Download Mysql Driver For Java

amol a. suryawanshiamol a. suryawanshi

Try this tutorial it has the explanation and it will be helpfulhttp://www.ccs.neu.edu/home/kathleen/classes/cs3200/JDBCtutorial.pdf

Prem ChandranPrem Chandran

Not the answer you're looking for? Browse other questions tagged javamysqlservletsjdbcdriver or ask your own question.

Active3 years, 6 months ago

I have the jar file: mysql-connector-java-5.1.14-bin.jar and I want to add it to my project.I add the jar at this way: project-> properties -> (Java Build Path) Libraries and add it from external jars. But when I try to use it and write:

import com.mysql.jdbc.jdbc2.optional.MysqlConnectionPoolDataSource;

import com.mysql.jdbc.jdbc2.optional.MysqlDataSource;

Mysql Driver Download

I get error under 'com.mysql'.

What is my mistake?

user1994587

user1994587user1994587

1 Answer

If the JAR file for the JDBC driver appears in the 'Referenced Libraries' branch of the project, like this:

then you don't need an import statement for it. Just use DriverManager.getConnection() and Java should be able to find the JDBC driver itself.

Gord ThompsonGord Thompson

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Jdbc Driver For Mysql Download

Got a question that you can’t ask on public Stack Overflow? Learn more about sharing private information with Stack Overflow for Teams.

Mysql Driver Jar File

Not the answer you're looking for? Browse other questions tagged javamysqleclipsejdbcjar or ask your own question.

[santecky2]

What Are The Best Practices Or Learning Java In 2024?

Introduction:

Java remains one of the world's most widely used programming languages, known for its versatility, efficiency, and portability across platforms. Whether you're a beginner or looking to refine your skills, following best practices can significantly enhance your learning experience. Here are the top strategies for mastering Java in 2024:

Understand The Basics Thoroughly:

Unlock your future as a Java developer with Infycle Technologies' Java Training in Chennai. Our comprehensive course, led by industry experts, explores advanced topics such as Object-Oriented Programming (OOP), data structures, and GUI development. 

Foundation First: Before diving into complex topics, ensure you have a strong grasp of basic concepts like variables, data types, operators, control statements, and basic object-oriented programming (OOP) principles.

Interactive Learning: Use platforms like infycle, which offer interactive Java courses. These platforms provide hands-on exercises that reinforce foundational concepts.

Embrace Object-Oriented Programming (OOP):

Core Principles: Focus on understanding the four pillars of OOP: encapsulation, inheritance, polymorphism, and abstraction.

Practical Application: Implement small projects or examples that utilize these principles. It will help internalize how OOP makes Java powerful and flexible.

Use Modern Development Tools:

Integrated Development Environments (IDEs): Tools like IntelliJ IDEA, Eclipse, and NetBeans can significantly boost productivity with features like code completion, debugging, and project management.

Build Tools: Learn to use Maven or Gradle to manage dependencies and automate builds. These tools are essential for modern Java development.

Follow Coding Standards And Best Practices:

Clean Code: Adhere to coding standards such as naming conventions, proper indentation, and commenting. Books like "Clean Code" by Robert C. Martin provide valuable insights into writing maintainable code.

Code Reviews: Participate in code reviews to gain different perspectives and insights. Tools like GitHub and GitLab facilitate collaborative code reviews.

Stay Updated With The Latest Java Versions:

New Features: Java is continually evolving. Make sure to stay updated with the latest versions and their new features. For instance, Java 17 introduced several enhancements and new features worth learning.

Documentation: Regularly check the official Oracle Java documentation and other reliable sources for updates and best practices.

Build Real-World Projects:

Hands-On Experience: The best way to learn is by doing. Build projects that solve real-world problems. It could be anything from a simple calculator app to a complex e-commerce platform.

Open Source Contributions: Create open-source projects on GitHub. It will improve your skills and add valuable experience to your portfolio.

Leverage Online Resources And Communities:

Tutorials and Blogs: Websites like Stack Overflow, GeeksforGeeks, and Medium have a wealth of tutorials and articles on various Java topics.

Forums and Groups: Join Java-related forums, Reddit communities, and LinkedIn groups to connect with other learners and professionals. These communities can be a great source of support and knowledge sharing.

Practice Data Structures And Algorithms:

Unlock your destiny and build a rewarding career in software development with Infycle Technologies, the Best Software Training Institute in Chennai.

Core Competency: Data structures and algorithms are crucial for problem-solving and are often a focus in technical interviews.

Online Judges: Use platforms like LeetCode, HackerRank, and CodeSignal to practice and hone your skills.

Prepare For Certifications:

Oracle Certified Professional: Consider pursuing the Oracle Certified Professional (OCP) certification. It validates your skills and can enhance your job prospects.

Study Guides: Utilize official study guides and take practice exams to prepare effectively for certification tests.

Engage In Continuous Learning:

Advanced Topics: Once you're comfortable with the basics, delve into advanced topics like Java concurrency, memory management, and JVM internals.

Stay Curious: The field of technology is always advancing. Adopting a continuous learning mindset is crucial for staying ahead in your career.

Conclusion:

By following these best practices, you can build a solid foundation in Java and keep up with the latest developments in the field. Remember, consistency and practical application are key to mastering Java in 2024. 

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Creating Amazon Timestream interpolated views using Amazon Kinesis Data Analytics for Apache Flink

Many organizations have accelerated their adoption of stream data processing technologies in an effort to more quickly derive actionable insights from their data. Frequently, it is required that data from streams be computed into metrics or aggregations and stored in near real-time for analysis. These computed values should be generated and stored as quickly as possible; however, in instances where late arriving data is in the stream, the values must be recomputed and the original records updated. To accommodate this scenario, Amazon Timestream now supports upsert operations, meaning records are inserted into a table if they don’t already exist, or updated if they do. The default write behavior of Timestream follows the first writer wins semantics, wherein data is stored as append only and any duplicate records are rejected. However, in some applications, last writer wins semantics or the update of existing records are required. This post is part of a series demonstrating a variety of techniques for collecting, aggregating, and streaming data into Timestream across a variety of use cases. In this post, we demonstrate how to use the new upsert capability in Timestream to deal with late arriving data. For our example use case, we ingest streaming data, perform aggregations on the data stream, write records to Timestream, and handle late arriving data by updating any existing partially computed aggregates. We will also demonstrate how to use Amazon QuickSight for dashboarding and visualizations. Solution overview Time series is a common data format that describes how things change over time. Some of the most common sources of time series data are industrial machines and internet of things (IoT) devices, IT infrastructure stacks (such as hardware, software, and networking components), and applications that share their results over time. Timestream makes it easy to ingest, store, and analyze time series data at any scale. One common application of time series data is IoT data, where sensors may emit data points at a very high frequency. IoT sensors can often introduce noise into the data source, which may obfuscate trends. You may be pushing metrics at second or sub-second intervals, but want to query data at a coarser granularity to smooth out the noise. This is often accomplished by creating aggregations, averages, or interpolations over a longer period of time to smooth out and minimize the impact of noisy blips in the data. This can present a challenge, because performing interpolations and aggregations at read time can often increase the amount of computation necessary to complete a query. To solve this problem, we show you how to build a streaming data pipeline that generates aggregations when writing source data into Timestream. This enables more performant queries, because Timestream no longer has to calculate these values at runtime. The following diagram illustrates our solution’s architecture. In this post, we use synthetic Amazon Elastic Compute Cloud (Amazon EC2) instance data generated by a Python script. The data is written from an EC2 instance to an Amazon Kinesis Data Streams stream. Next, a Flink application (running within Amazon Kinesis Data Analytics for Apache Flink) reads the records from the data stream and writes them to Timestream. Inside the Flink application is where the magic of the architecture really happens. We then query and analyze the Timestream data using QuickSight. Prerequisites This post assumes the following prerequisites: QuickSight is set up within your account. If QuickSight is not yet set up within your account, refer to Getting Started with Data Analysis in Amazon QuickSight for a comprehensive walkthrough. You have an Amazon EC2 key pair. For information on creating an EC2 key pair, see Amazon EC2 key pairs and Linux instances. Setting up your resources To get started with this architecture, complete the following steps: Note: This solution may incur costs; please check the pricing pages related to the services we’re using. Run the following AWS CloudFormation template in your AWS account: For Stack name¸ enter a name for your stack. For VPC, enter a VPC for your EC2 instance. For Subnet, enter a subnet in which to launch your instance. For KeyName, choose an EC2 key pair that may be used to connect to the instance. Leave all other parameters at the default value and create the stack. The template starts by setting up the necessary AWS Identity and Access Management (IAM) policies and roles to ensure a secure environment. It then sets up an EC2 instance and installs the necessary dependencies (Maven, Flink, and code resources) onto the instance. We also set up a Kinesis data stream and a Kinesis Data Analytics application. Later in this post, you build the Flink application and deploy it to the Kinesis Data Analytics application. The CloudFormation template also deploys the Timestream database and its corresponding Timestream table. QuickSight is not deployed via CloudFormation; we configure it manually in a later step. The entire process of creating the infrastructure takes approximately 5 minutes. After the CloudFormation template is deployed, we have an EC2 instance, Kinesis data stream, empty Kinesis Data Analytics application, Timestream database, and Timestream table. In the following steps, we go through setting up, compiling, and deploying the Flink application from the EC2 instance to Kinesis Data Analytics, starting the Kinesis Data Analytics application, streaming data to the Kinesis data stream, and reading the data from Timestream via interactive queries and QuickSight. Throughout this guide, we refer to a few values contained in the Outputs section of the CloudFormation template, including how to connect to the instance, as well as the Amazon Simple Storage Service (Amazon S3) bucket used. Building the Flink application Let’s begin by connecting to the instance. On the Outputs tab of the CloudFormation template, choose the link associated with ConnectToInstance. This opens a browser-based terminal session to the instance.The EC2 instance has undergone some initial configuration. Specifically, the CloudFormation template downloads and installs Java, Maven, Flink, and clones the amazon-timestream-tools repository from GitHub. The GitHub repo is a set of tools to help you ingest data and consume data from Timestream. We use the Flink connector included in this repository as the starting point for our application. Navigate to the correct directory, using the following command: sudo su - ec2-user cd /home/ec2-user/amazon-timestream-tools/integrations/flink_connector_with_upserts Examine the contents of the main class of the Flink job using the following command: cat src/main/java/com/amazonaws/services/kinesisanalytics/StreamingJob.java This code reads in the input parameters and sets up the environment. We set up the Kinesis consumer configuration, configure the Kinesis Data Streams source, and read records from the source into the input object, which contain non-aggregated records. To produce the aggregated output, the code filters the records to only those where the measure value type is numeric. Next, timestamps and watermarks are assigned to allow for Flink’s event time processing. Event time processing allows us to operate on an event’s actual timestamp, as opposed to system time or ingestion time. For more information about event time, see Tracking Events in Kinesis Data Analytics for Apache Flink Using the DataStream API. The keyBy operation then groups records by the appropriate fields—much like the SQL GROUP BY statement. For this dataset, we aggregate by all dimensions (such as instance_name, process_name, and jdk_version) for a given measure name (such as disk_io_writes or cpu_idle). The aggregation window and the allowed lateness of data within our stream is then set before finally applying a custom averaging function. This code generates average values for each key, as defined in the keyBy function, which is written to a Timestream table at the end of every window (with a default window duration of 5 minutes). If data arrives after the window has already passed, the allowedLateness method allows us to keep that previous window in state for the duration of the window plus the duration of allowed lateness—for example, a 5-minute window plus 2 minutes of allowed lateness. When data arrives late but within the allowed lateness, the aggregate value is recomputed to include the newly added data. The previously computed aggregate stored within Timestream must then be updated.To write data from both the non-aggregated and aggregated streams to Timestream, we use a TimestreamSink. To see how data is written and upserted within Timestream, examine the TimestreamSink class using to following command: cat src/main/java/com/amazonaws/services/timestream/TimestreamSink.java Towards the bottom of the file, you can find the invoke method (also provided below). Within this method, records from the data stream are buffered and written to Timestream in batch to optimize the cost of write operations. The primary thing of note is the use of the withVersion method when constructing the record to be written to Timestream. Timestream stores the record with the highest version. When you set the version to the current timestamp and include the version in the record definition, any existing version of a given record within Timestream is updated with the most recent data. For more information about inserting and upserting data within Timestream, see Write data (inserts and upserts). @Override public void invoke(TimestreamPoint value, Context context) throws Exception { List dimensions = new ArrayList<>(); for(Map.Entry entry : value.getDimensions().entrySet()) { Dimension dim = new Dimension().withName(entry.getKey()).withValue(entry.getValue()); dimensions.add(dim); } //set vesion to current time long version = System.currentTimeMillis(); Record measure = new Record() .withDimensions(dimensions) .withMeasureName(value.getMeasureName()) .withMeasureValueType(value.getMeasureValueType()) .withMeasureValue(value.getMeasureValue()) .withTimeUnit(value.getTimeUnit()) .withTime(String.valueOf(value.getTime())) //by setting the version to the current time, latest record will overwrite any existing earlier records .withVersion(version); bufferedRecords.add(measure); if(shouldPublish()) { WriteRecordsRequest writeRecordsRequest = new WriteRecordsRequest() .withDatabaseName(this.db) .withTableName(this.table) .withRecords(bufferedRecords); try { WriteRecordsResult writeRecordsResult = this.writeClient.writeRecords(writeRecordsRequest); LOG.debug("writeRecords Status: " + writeRecordsResult.getSdkHttpMetadata().getHttpStatusCode()); bufferedRecords.clear(); emptyListTimetamp = System.currentTimeMillis(); } catch (RejectedRecordsException e){ List rejectedRecords = e.getRejectedRecords(); LOG.warn("Rejected Records -> " + rejectedRecords.size()); for (int i = rejectedRecords.size()-1 ; i >= 0 ; i-- ) { LOG.warn("Discarding Malformed Record ->" + rejectedRecords.get(i).toString()); LOG.warn("Rejected Record Reason ->" + rejectedRecords.get(i).getReason()); bufferedRecords.remove(rejectedRecords.get(i).getRecordIndex()); } } catch (Exception e) { LOG.error("Error: " + e); } } } Now that we have examined the code, we can proceed with compiling and packaging for deployment to our Kinesis Data Analytics application. Enter the following commands to create a JAR file we will deploy to our Flink application: mvn clean compile -Dflink.version=1.11.2 mvn package -Dflink.version=1.11.2 Deploying, configuring, and running the application Now that the application is packaged, we can deploy it. Copy it to the S3 bucket created as part of the CloudFormation template (substitute with the OutputBucketName from the CloudFormation stack outputs): aws s3 cp /home/ec2-user/amazon-timestream-tools/integrations/flink_connector_with_upserts/target/timestreamsink-1.0-SNAPSHOT.jar s3:///timestreamsink/timestreamsink-1.0-SNAPSHOT.jar We can now configure the Kinesis Data Analytics application. On the Kinesis console, choose Analytics applications. You should see the Kinesis Data Analytics application created via the CloudFormation template. Choose the application and choose Configure. We now set the code location for the Flink application. For Amazon S3 bucket, choose the bucket created by the CloudFormation template. For Path to Amazon S3 object, enter timestreamsink/timestreamsink-1.0-SNAPSHOT.jar. Under Properties, expand the key-value pairs associated with FlinkApplicationProperties. The Kinesis data stream, Timestream database, and table parameters for your Flink application have been prepopulated by the CloudFormation template. Choose Update. With the code location set, we can now run the Kinesis Data Analytics application. Choose Run. Choose Run without snapshot. The application takes a few moments to start, but once it has started, we can see the application graph on the console. Now that the application is running, we can start pushing data to the Kinesis data stream. Generating and sending data To generate synthetic data to populate the Timestream table, you utilize a script from Amazon Timestream Tools. This Git repository contains sample applications, plugins, notebooks, data connectors, and adapters to help you get started with Timestream and enable you to use Timestream with other tools and services. The Timestream Tools repository has already been cloned to the EC2 instance. From your EC2 instance, navigate to the Timestream Tools Kinesis ingestor directory: cd /home/ec2-user/amazon-timestream-tools/tools/kinesis_ingestor The timestream_kinesis_data_gen.py script generates a continuous stream of EC2 instance data and sends this data as records to the Kinesis data stream. Note the percent-late and late-time parameters—these send 5% of all records 75 seconds late, leading some aggregate values to be recomputed and upserted within Timestream: python3 timestream_kinesis_data_gen.py --percent-late 5 --late-time 75 --stream --region > writer.log & The Flink application starts to continuously read records from the Kinesis data stream and write them to your Timestream table. Non-aggregated records are written to Timestream immediately. Aggregated records are processed and written to Timestream every 5 minutes, with aggregates recomputed and upserted when late arriving data is generated by the Python script. Querying and visualizing your data We can now visualize the data coming in and explore it via the Timestream console. On the Timestream console, choose Query editor. For Database, choose your database. Run a quick query to verify we’re pushing both real-time and aggregated metrics: SELECT * FROM "InterpolatedBlogDB-"."EC2MetricTable-" WHERE measure_name IN ('cpu_idle', 'avg_cpu_idle') LIMIT 100 The following screenshot shows our output. In addition to simply querying the data, you can use QuickSight to analyze and publish data dashboards that contain your Timestream data. First, we need to ensure QuickSight has access to Timestream. Navigate to the QuickSight console. Choose your user name on the application bar and ensure you’re in the same Region as your Timestream database. Choose Manage QuickSight. Choose Security & permissions. Ensure that Timestream is listed under QuickSight access to AWS services. If Timestream is not listed, choose Add or remove to add Timestream. After you validate that QuickSight is configured to access Timestream, navigate to Datasets. Choose New dataset. Select Timestream. For Data source name, enter the Timestream database that was created as part of the CloudFormation template. Choose Create data source. For Database, choose the database created as part of the CloudFormation template. For Tables, select the table created as part of the CloudFormation template. Choose Select. In the following window, choose Visualize. When your data has loaded, choose Line chart under Visual types. Drag the time field to the X axis For Aggregate, choose Minute. For Value, choose measure_value::double. For Aggregate, select Average. For Color, choose measure_name. Because our Timestream data is structured as a narrow table, we need to apply filters to the dataset to select the measures of interest. On the navigation pane, choose Filter. Choose Create one. Choose measure_name. Choose the newly created filter and select avg_cpu_system and cpu_system. Choose Apply. The filter is now reflected in the visualization. Conclusion In this post, we demonstrated how to generate aggregations of streaming data, write streaming data and aggregations to Timestream, and generate visualizations of time series data using QuickSight. Through the use of Kinesis Data Streams and Kinesis Data Analytics, we deployed a data pipeline that ingests source data, and consumes this data into a Flink application that continuously reads and processes the streaming data and writes the raw and aggregated data to Timestream. We aggregated the data stream as it’s written to Timestream to reduce the amount of computation required when querying the data. With QuickSight, we rapidly developed visualizations from data stored in Timestream. We invite you to try this solution for your own use cases and to read the following posts, which contain further information and resources: What Is Amazon Kinesis Data Analytics for Apache Flink? Build and run streaming applications with Apache Flink and Amazon Kinesis Data Analytics for Java Applications Amazon Timestream Developer Guide: Amazon Kinesis Data Analytics for Apache Flink Amazon Timestream Developer Guide: Amazon QuickSight Amazon Timestream Tools and Samples Amazon Kinesis Analytics Taxi Consumer This post is part of a series describing techniques for collecting, aggregating, and streaming data to Timestream across a variety of use cases. This post focuses on challenges associated with late arriving data, partial aggregates, and upserts into Timestream. Stay tuned for the next post in the series where we focus on Grafana integration and a Kotlin based connector for Timestream. About the Authors Will Taff is a Data Lab Solutions Architect at AWS based in Anchorage, Alaska. Will helps customers design and build data, analytics, and machine learning solutions to meet their business needs. As part of the AWS Data Lab, he works with customers to rapidly develop and deploy scalable prototypes through joint engineering engagements.   John Gray is a Data Lab Solutions Architect at AWS based out of Seattle. In this role, John works with customers on their Analytics, Database and Machine Learning use cases, architects a solution to solve their business problems and helps them build a scalable prototype. https://aws.amazon.com/blogs/database/creating-amazon-timestream-interpolated-views-using-amazon-kinesis-data-analytics-for-apache-flink/

[pradeepiit]

Java has become one of the most popular languages these days. People who are trying to set their careers in the corporate field are rigorously improving their java skills and to stay ahead in the competitive world. In a reputed organization, many java developers are looking forward to getting hired hence java programming languages are considered as the most sought among all other programming languages. The basic knowledge of java is not enough for the companies to hire you, so join in java certification training and enrich your skills and become a professional java programmer. To be an expert programmer you need to have certain skills and outlook to stand apart from the crowd. 

 What is java?

 Java is the high-level programming used by millions of developers. Java languages itself a platform to create an application, websites while other programming languages don’t possess. Java languages are developed by the sun microsystem based on the syntax of c and C++. Java is a class-based, concurrent and object-oriented language. Many companies use java languages, hence the java-based is known for its speed and scalability. Here comes some of the important skill set that a java programmer need to know

 Be familiar with frameworks

 For many Java developers, this part is very crucial. Apart from being a java SE programming model, it enables you to develop applications from POJOs. The majority of the companies are heavily using spring frameworks like Spring Boot, Spring MVC, etc to develop microservices and web applications. These platforms are mainly helpful to make a java local method to a management operation as well as making a local java method remote procedure.

 Learn Java 8

 Java has shown its development each year. Since it had reached developing its process till java 8 and people are discussing the features of java 10. There are many java programmers who don’t focus on java 8 skills like using lambda expressions, java stream API, etc. Oracle had put an end to the support plans of Java SE 8. You are able to overpass java developments only if you obtain a solid command over java 8 features.

 Master java libraries and API

 A major part of the Java programming languages is occupied by the java APIS and frameworks. Java programming languages have become the second most popular language among the stack overflow community. If you want to be a good java programmer then you need to have a better understanding of the key functions of APIs and libraries including JDK and third-party libraries. Java developers are expected to know only the major APIs and libraries like Guava, Apache Commons, Maven, etc.

 Improve unit testing skills

 The expert java developers are differentiated from the normal one through the unit testing skills. Automated testing and integration testing are also included in unit testing. To develop your unit testing skills you can grasp some advanced unit testing libraries such as Mockito, PowerMock, robot, and cucumber. These skills will set you apart from the crowd. You can start learning unit testing from Junit, and Scratch.

 Improve your coding skills

 Coding is a very important skill for any programmers. To become a professional java developer, code every day. Also, create a new project, and write something that is part of the open-source framework. If the situation leads you to code with a minimum chance in live projects then you can participate in programming and coding challenges. By surfing, you will find better coding challenges and provide you the opportunity to improve and access your coding skills.

 Give importance to JVM internals

 To become a professional java developer, you must have a better knowledge of JVM. It is the key element in the java runtime environment. During programming time, you are able to solve critical problems once you have learned JVM. If you’re a beginner then you need to focus on JVM threads, the way JVM executes JAVA bytecode, and how JVM works.

 Improve your design pattern knowledge

 If you’re an object-oriented java developer then you might know design patterns which are the solution for common problems. The design pattern gives a relation between the object and class. The recurring problems are managed by the object and class. Have a thorough understanding of design patterns so that you can manipulate the design pattern in your code to make the applications flexible and changeable.

 Role and responsibilities

 Depending upon the company, the Java programmer’s role and responsibilities vary. Look at some of the responsibilities pursued by the java developers

Delivers     a high quality and better performance

Creates     a well-designed, testable, and efficient code

During     development lifecycle, it involves all phases

Managing     java EE and java application deployment

Software     components are prepared and proceeded

Combines     the software requirements into stipulations

Implementing,     designing, and maintaining Java applications are often high volume and low     latency.

 Support the system and optimize

After completing the program the java developers' work doesn’t end. Their role is to support the active systems and with the current software platforms, they identify the opportunity for efficacy. These responsibilities need a unique skill set for java programmers. If you want to be a strong java developer, then attend the java certification classes. You are able to maintain and optimize the customer program or enterprise system. Also, the java developers need to work with the team to place appropriate training modules. They have to spend more time supporting and maintaining it as they do in developing program architecture.

 Vendor management

 The professional java developers work with new ideas they get approval from the stakeholders or clients to act on them. This leads the java developers to play a key contact role with the vendors to increase their service in current projects or specific expertise.

 Wrapping-up

 If you want to become a java developer, then know the importance of learning java skills. Then following the above mentioned key skills helps to enhance your career in the IT field. Although the focus on learning java 8 and spring framework first. And then move to other topics like JVM, unit testing, etc. To start a strong career path in java development then start learning key skills.

[simplythetest]

TestNG Not For Me: Why I Cannot Recommend TestNG Any More

When I was working with Selenium for the first time, the tool stack I learned with was Java-based. The test runner that my team used at the time was TestNG, and we made pretty liberal use of its functionalities. I also got to know TestNG pretty well. Although I liked Java, I loved TestNG. It was a powerful test framework that was well-suited to building a Selenium-based test harness. While I've worked with different languages and tool stacks since then, my fondness for TestNG remained.

Until now.

During the past few months, I've seen enough issues with Java-based test frameworks to see TestNG (and other libraries) from some different perspectives. And based on these experience, my love for TestNG has faded and I can no longer recommend TestNG as a "default" choice for Java-based test projects. The main reasons come down to characteristics of good test projects and what really matters when writing good test harnesses, Selenium-based or not.

In my experience, the most critical criteria of successful test automation frameworks are the following:

Running all tests in a test harness on a regular basis. This may mean quarantining some tests temporarily and/or deleting tests permanently.

Writing independent and stable tests that can be executed at any time during the development cycle.

Realizing that long-term project maintenance is far more important than short-term test writing.

TestNG, for all of its merits, eventually fails at supporting these three points. While there may be some helpful features that TestNG provides in the short-run, in the long-run there are simply better choices.

TestNG: The Good Parts

Before I write about the downsides of TestNG, I feel like I should mention why I was drawn to it in the first place. One thing that I've become acutely aware of in the past years is that user experience in test automation tooling is critical for both tooling adoption and day-to-day work. If a tool is nice to use and solves real problems, not only am I more likely to use it but it's more likely other people will use it as well. This creates communities and shared knowledge which can move the needle forward in general. Test automation is no exception; being able to write code that can test specific circumstances and solve key problems is important and tooling that help in a neat and tidy way will get some attention.

After working with TestNG for a while, I found it had good developer UX. There were underlying conventions in TestNG that I could get a "feel" for after some experience using it. Although there was a lot of functionality and surprisingly large number of annotations, after a while I could guess what I needed to use and was often correct. If I needed a particular annotation, I could often deduce which one I needed based on experience and logical thinking and voila, the tests would run as expected.

As well, TestNG provided some functionality to - for lack of a better term - paper over some shortcomings that Java had for test automation. For example, Java notoriously does not have default/optional method parameter values, so TestNG implemented this feature. This is extremely helpful for Selenium tests where default browser types or configuration values are commonly used. TestNG also allowed for grouping and organizing tests in sophisticated ways and provided listener functionality to perform particular actions not just on test success or failure but other events too. At the time, these features were vital for writing good test harnesses that did more than evaluate class instances as in unit testing.

Based on this, TestNG should be applauded for solving some gnarly issues in designing good test automation. But even these beautiful features have faded from glory as time went on.

Getting It All Together: Running All Tests Regularly

When I worked with TestNG, one of the draws to using it over JUnit was the ability to organize tests into different groups or suites. On my team we had acceptance test suites for each product, and on the product I worked on this was a subset of all the automated tests that were written. Additionally there were regression suites and some additional suites for more specific functionality for security or specific features. Specifying a new suite was pretty easy since TestNG tests were executed using a specific testng.xml file. In such a file we could include or exclude tests by package, class or test method name and even pass in additional parameters needed per suite. Each test suite was executed using an Ant script on our Jenkins instance. It all worked wonderfully.

Except it didn't.

I realize now that breaking down these tests into such suites was a slippery slope toward instability and extra work for us. Each new test class needed to be carefully added or removed from existing testng.xml files, and the number of Jenkins jobs executing tests became unwieldy. Eventually some suites were run regularly, and others were not run regularly and instead run "on demand" - meaning basically never. This increased complexity in maintaining existing suites and adding new tests to suites.

Test code is production code, and like production code it experiences its own form of rot. In the case of automated tests, the application under test changes and updates, along with the test framework tools and language. In the case of Selenium tests, locators, URLs, application screens, and flows change leading to broken tests. Tests that aren't exercised regularly start to rot, and when they are run it is painful to try to update them to work which in turn lowers and information or value those tests produce for teams. It leads to frustration with the whole test automation enterprise and reduces confidence overall. This is a bad scene.

The problem with TestNG is that it makes it too easy to divide up tests into such suites in the first place. With some foresight, building test suites that are designed to run all tests regularly pays dividends over time in avoiding rotting test code. Regularly can mean whatever works best in a team's context - nightly, hourly, on every pull request, on every commit, on every merge to mainline, or similar. Even dividing up tests in to two or three groups (smoke/regression or smoke/acceptance/regression, for example) can be done with a bit of planning and low overhead. Maven and JUnit are essentially designed from this perspective; find all test classes in the src/test package following a basic naming convention and run them. The TestNG grouping approach leads to suites that are too finely organized, and running tests via testng.xml files can facilitate this issue.

Standing On My Own: Why Writing Independent Tests Is Important

Another problem more applicable to web-based browser testing is designing tests that execute well independently of each other. For many teams, this is no small task. Often with enterprise applications there are limitations in creating and using test data and application instances. A team may have to share a server instance with other teams, such as other QA teams or development teams. Also there may be long or complex workflows that need to be tested that cannot be easily executed concurrently or repeated.

Here again TestNG has some easy solutions that turn out to be terrible.

TestNG allows for tests to depend on other tests or set conditions. For example, TestNG has the @dependsOnMethod annotation where you can specify a method that must execute before a given test method can execute. I've used this as testA must run and succeed before testB can execute. This means I can be assured that any side effects from testA are in place that may affect testB which was helpful working in environments as mentioned above where there were limited application instances to test again or test data was difficult to create. There's also ways to set a priority of tests in TestNG where tests of priority 1 execute first, then tests of priority 2 execute, and so on until all priorities are executed.

These capabilities are great workarounds. But to really succeed, tests should be run independently and in any order without such workarounds. This means arranging for stable test environments dedicated to test automation, managing test data as best you can, using hooks to setup test data without relying on a (G)UI layer by injecting data at the database or API level. And certainly tests should be designed to be executed independently from the start. Again TestNG seemingly provides good tools to solve hard problems but ends up making matters more difficult than needed.

The Little Things: Thinking Long Term

The most important costs for any test automation project are maintenance costs. Writing a test - even a complicated one - often takes much less effort than maintaining that test over time. This is also true of test infrastructure such how a test is run, when a test is run, what happens before and after test runs, and so on. Little things like how a test gets executed can make a big impact.

TestNG typically leans on the testng.xml for selecting tests to run. This is fine or even desirable in an development or IDE setting. Running a set of TestNG tests from Eclipse or IntelliJ is pretty straightforward. Running testng.xml files on a continuous integration (CI) server is slightly more complicated but can also be accomplished but will also look different from running tests locally. Where running testng.xml-based tests are often a right-click-select-Run operation in an IDE, continuous integration services like Jenkins will need something else. This could be an Ant script, using a TestNG-based plugin or some edits to the pom.xml for using Maven. This is true even if there's a single testng.xml with a single suite.

In contrast, executing tests directly using Maven is identical even if using TestNG as your sole test framework in code. Adding the Maven Surefire plugin even allows for running specific tests or subsets of tests both from a development environment and CI environment. It also removes the overhead managing an additional XML file. This may seem like a slight improvement, but over time the lower maintenance costs and unified approach to test execution will pay off.

It's Not You, It's Me

I really don't want to sound like TestNG is terrible (or that Maven is amazing). TestNG is a well-built library and many teams have found success using its functionality. But over time, I find that the downsides outweigh the benefits.

I'll always remember TestNG as a good first step on my journey, but it is no longer the tool I reach for first in my Java toolbox.