Techwaves

 In a data-rich engineering web app where GraphQL is used for data retrieval, the time ratio between API development and UI development can vary based on several factors: 1. Data Complexity:If the data structures are complex or have varying relationships, more time might be spent on API development to ensure efficient querying and data retrieval. 2. UI Customization Needs: When the UI requires extensive customization for each section or table, additional time might be allocated to UI development to ensure each component meets specific requirements. 3. Integration Challenges:Bridging the gap between the GraphQL responses and UI components, especially in scenarios where components cannot be easily reused, can significantly impact the time spent on integration efforts. 4. Functionality and User Interactions: If the application involves complex user interactions, form handling, validations, or real-time updates, a considerable amount of time may be dedicated to implementing these features

(From experience) In the realm of software development, the journey from concept to creation is an intricate dance between definition, design, and development. Picture it as an art form where the brushstrokes must not only reflect technological prowess but also resonate with human values. Finding the delicate balance between flexibility and rigidity is akin to composing a melody. Too much of either can lead to discord, hindering not only current comprehension but also future understanding and maintenance. It's a harmony that stands the test of time. In this artistic endeavor, the canvas of design becomes our medium to accommodate both the intricacies of technology and the subtleties of human experience. There's no one-size-fits-all logic or paradigm; rather, it's a palette of possibilities. In the world of creating software, let's avoid getting too excited about fancy tech terms, being a fan of just one thing, or acting like the star player. A good team is like a friend

  In today's rapidly evolving tech landscape, adaptability and flexibility are paramount. Advocating for a specific tech stack should always be problem-centric, taking into account: Problem at Hand : The choice of tech stack should align with the specific problem you're trying to solve. Consider the technical requirements and constraints of the project. Solution Fit : Evaluate how well a tech stack aligns with your project's objectives. Does it offer the right tools and libraries to efficiently address your needs? User Base : Consider the user base and their preferences. Choose technologies that enhance the user experience and accessibility for your target audience. Ecosystem : Assess the broader tech ecosystem. Is there strong community support, documentation, and a healthy ecosystem around the chosen stack? Scalability : Account for scalability requirements. Will the chosen tech stack allow your project to grow and adapt to changing demands? Development Team : Leverage yo

       

It depends. But seriously though. To decide which one to choose you need to answer to the following question: What kind of application are you planning to create? Performance Node.js and Java memory models differ and this has the most impact for the performance. Let me explain both models in simplification. Java model Java application runs in its own JVM and thus its own process. A process consists of multiple threads. Threads are like processes with significant differences:         threads are more lightweight and relatively easy to create         processes have private set of resources but threads share the memory from its process         thread can communicate with other threads with ease but processes can communicate with each other by using inter-process communication, which is slower than communication between threads It means that in Java program job can be divided into multiple threads, which can be executed simultaneously by multiple processors. This way we can use the full po

Amazon Web Services (AWS) provides a wide range of services and tools, many of which are built using Java. Java is one of the primary programming languages used at AWS for developing various components. AWS is a platform that provides cloud services for organizations of all sizes. In particular, AWS uses Java to provide the platform’s core functionality, such as computing and storage. Java is a popular programming language that allows developers to create software applications. Furthermore, AWS also uses other languages, such as Python and Ruby, to provide specific features How is Java used in AWS applications? A huge number of open-source big data offerings are written using the Java programming language. It’s massively popular with AWS customers and cloud specialists because it’s just so easy to write, compile, debug and learn.   Using Java, developers can create both modular programs and reusable code meaning you can deploy your existin