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Rajat Garg

Each application section in microservices is small and self-contained to perform specific tasks. Each part handles its own established task such as login or payment while functioning independently from other parts.

What are microservices?

Monolithic apps build all components within one single application. Microservices divide the application into self-contained parts that support simpler growth and control methods.

How are microservices different from monolithic architecture?

The microservice structure enhances the development process by streamlining application building, quality assurance, updating, and upscaling. When one service stops working the rest of the services remain operational.

Why are microservices popular?

They connect services using web-based HTTP message transfers and separate message channels.

How do microservices talk to each other?

Learn what microservices are, how they work, and why they're key to building fast, scalable, and reliable modern applications.

What Are Microservices?: How They Work and Why They Matter

The programming languages Netflix employs include Java Kotlin (backend) JavaScript & React (frontend) and Python for ML and AI models.

What programming languages does Netflix use?

Netflix uses AI to recommend content through combinations of both collaborative filtering and content-based filtering approaches that analyze your viewing behavior.

How does Netflix recommend shows?

Through Open Connect Netflix operates its own content delivery network that installs servers next to users inside internet service provider networks in order to optimize speed and minimize delays.

What is Netflix's Open Connect?

Netflix depends entirely on AWS for managing its complete operations from video storage to virtual servers and databases and monitoring tools.

Does Netflix use AWS?

Discover Netflix System design, its architecture, scalability, and key patterns in this step-by-step guide. Perfect for beginners.

Netflix System Design Netflix: How It Works Step-by-Step

Netflix System Design: How It Works Step-by-Step

Answer: Neither is universally better. Go is faster and simpler, great for cloud applications and microservices. Java has more features and libraries, making it better for enterprise applications and Android development.

Q1. Is Go better than Java?

Answer: Yes, Go is easier to learn. It has fewer keywords and a simpler design compared to Java. Java requires understanding more complex concepts like object-oriented programming.

Q2. Is Go easier to learn than Java?

Answer: Go won't completely replace Java. Both languages serve different purposes and have their own strengths. Java remains dominant in enterprise settings while Go excels in newer cloud environments.

Q3. Will Go replace Java?

Answer: Go is typically faster than Java. Go compiles directly to machine code while Java runs on a virtual machine that adds some overhead. Go's memory management is also more efficient.

Q4. Which is faster: Go or Java?

Answer: Go may be easier to learn initially due to its simple syntax. However, Java might be better for career prospects as a first language since it's more widely used and teaches fundamental programming concepts.

Q5. Is Go or Java better for beginners?

Comparison between Java vs Go for web development. Learn their pros, cons, and which is better for your coding goals in this simple guide.

 Java vs Go: Which Language Should You Learn?

Java vs Go – Which Language Should You Learn?

Answer: Yes! Java is widely used in industries like finance, mobile apps, and big data. Its demand ensures great job opportunities and long-term value.

Q1. Is Java still worth learning in 2025?

Answer: Absolutely. Java's clear structure and beginner-friendly resources make it a great starting point for new coders.

Q2. Is Java good for beginners?

Answer: With regular practice, you can learn the basics in 3-6 months. Mastering it depends on how much you practice and the projects you tackle.

Q3. How long does it take to learn Java?

Answer: With Java skills, you can pursue careers as a Java Developer, Android Application Developer, Web Developer, Big Data Specialist, or Cloud Engineer across virtually every industry.

Q4. What careers can I pursue with Java skills?

Answer: Java has a moderate learning curve. While not as simple as Python for absolute beginners, Java is more structured and easier to learn than C++. Its object-oriented approach teaches fundamental programming concepts that transfer to other languages.

Q5. Is Java difficult to learn compared to other programming languages?

Answer: Java remains popular due to its reliability, performance with large-scale systems, regular updates, robust ecosystem of tools and frameworks, and the massive community support that helps it evolve with technology trends.

Q6. Why is Java still popular after nearly 30 years?

Discover why Java programming is a top skill in 2025. Explore its uses, career paths, and how to start learning Java today for a tech future.

Why Learn Java Programming in 2025?

These include programming (Python and SQL), cloud-service providers (AWS and Azure), big data systems (Hadoop and Spark), and database.

What skills are needed to become a Data Engineer?

It may take about 1–2 years to obtain the main set of skills, with further daily training and work experience.

How long does it take to become a Data Engineer?

Obtaining certification such as AWS Certified Solutions Architect or Google Professional Data Engineer can make a difference in your profile.

Which certifications are helpful for becoming a Data Engineer?

Kickstart your journey with the data engineering roadmap 2025. This ultimate guide offers the skills need to excel in data engineering.

Data Engineering Roadmap 2025

Data Engineering Roadmap 2025: Become a Data Engineer

To get started, pick a relevant problem to solve, gather a relevant dataset, and build and test models using Scikit-learn or TensorFlow (or a similar tool) as a beginner.

How do I get started with a machine learning project?

Learning basic Blockchain can take some time at first, but with some structured learning resources, practice, and some patience, beginners can learn the basics of it and get to working on some practical project.

Is learning machine learning difficult for beginners?

You sure can try your hand at machine learning without even learning the basics of coding—there are no-code platforms like Google AutoML, KNIME, and Teachable Machine to name a few. But learning to code provides more opportunities.

Can you learn machine learning without knowing the programming?

Yes, students can begin by using free datasets, such as Kaggle, Colab, and open source libraries to learn by doing and start building a portfolio.

Can I work on machine learning projects as a student?

Other than the well known ones such as House Price Prediction or Spam Detection, you can take a look at projects such as Sentiment Analysis, Image Classification, or Weather Prediction to train your skills.

What are other beginner-friendly projects in machine learning?

Start your machine learning journey with easy projects and step-by-step guidance, to explore AI and data science.

Explore the Top 15 Machine Learning Projects

Top 15 Machine Learning Projects

How Structured Prep and Mentorship Landed Chirag at Amazon?

How Structured Prep and Mentorship Landed Me at Amazon

From struggles to success, Kaushik’s journey to Lead SDE at Emirates shows how the right mentor and plan with Bosscoder made it possible.