Advanced Java Programming
Advanced Java Programming encompasses a range of topics and technologies that go beyond the core Java language, focusing on building complex, enterprise-level applications. It includes elements such as Java EE (Enterprise Edition), which features components like Servlets, JSP (JavaServer Pages), and JSF (JavaServer Faces) for web development, as well as frameworks like Spring and Hibernate for managing enterprise applications and data persistence. Additionally, it covers concepts such as multithreading, networking, design patterns, RESTful web services, and microservices architecture, enabling developers to create scalable, distributed, and robust applications that can efficiently handle high performance and security requirements in modern software development.
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1 - Java EE (Enterprise Edition): Understanding the Java EE platform which is used for building large scale, multi tiered, scalable, and secure enterprise applications.
2) Servlets and JSP: Learning about Java Servlets and JavaServer Pages (JSP) for building dynamic web applications, handling requests and responses on the server side.
3) Spring Framework: Introduction to the Spring Framework, covering dependency injection, aspect oriented programming, and building RESTful web services.
4) Hibernate ORM: Exploring Object Relational Mapping (ORM) with Hibernate for database interaction, including session management and transaction handling.
5) Java Persistence API (JPA): Understanding JPA for managing relational data in Java applications, and how it integrates with ORM tools.
6) Web Services (REST & SOAP): Learning about creating and consuming web services using RESTful and SOAP based protocols, including JAXB and JAX RS.
7) Microservices Architecture: Introduction to building microservices using Java, emphasizing service independence, scalability, and cloud deployment strategies.
8) Concurrency and Multithreading: Advanced concepts in concurrency, threading models, synchronization, and designing thread safe applications.
9) Design Patterns: In depth look at common design patterns in Java such as Singleton, Factory, Strategy, and Observer to improve code maintainability and scalability.
10) Java Security: Understanding security principles in Java applications, focusing on authentication, authorization, encryption, and secure coding practices.
11) Java Virtual Machine (JVM) Tuning: Learning how the JVM works and how to optimize performance, including garbage collection tuning and memory management.
12) Event Driven Programming: Exploring event driven programming paradigms in Java, including JavaFX for GUI applications, and asynchronous processing.
13) Unit Testing and Test Driven Development (TDD): Introduction to unit testing frameworks like JUnit and Mockito, and practices for writing testable Java code.
14) Java Development Tools: Familiarization with tools and environments such as Apache Maven, Gradle, and Integrated Development Environments (IDEs) like IntelliJ IDEA or Eclipse.
15) DevOps Integration: Understanding the role of DevOps in Java development, including Continuous Integration (CI) and Continuous Deployment (CD) practices for Java applications.
16) Cloud Computing and Deployment: Insights into deploying Java applications in cloud environments such as AWS, Azure, or Google Cloud, including containerization with Docker.
17) Performance Optimization: Techniques for profiling and optimizing Java applications, including analyzing execution paths and mitigating performance bottlenecks.
These topics should provide a solid foundation for a training program in Advanced Java Programming, equipping students with the skills needed for modern software development practices.
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Java Interview Questions for Selenium Testers 2024
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Flutter app monitoring with Prometheus and Grafana delivers real-time observability by instrumenting the app (via OpenTelemetry or lightweight exporters) to expose metrics that Prometheus scrapes and stores as time-series data. Grafana visualizes those metrics in customizable dashboards and triggers alerts, letting teams track CPU/memory, frame-render times, network latency, error rates and user-impacting regressions. This stack helps quickly detect performance problems, diagnose root causes, and continuously improve app stability and user experience.
Flutter CI with Codemagic is a cloud-first continuous integration and delivery solution that automates building, testing and releasing Flutter apps across iOS, Android and web using configurable workflows (codemagic.yaml), hosted macOS/Linux runners, dependency caching and parallelization. It integrates with GitHub/GitLab/Bitbucket, manages code signing and store publishing, runs unit/widget/integration tests, and generates reproducible artifacts so teams catch regressions early and ship reliably. For learners and professionals working on JustAcademy real-time projects, Codemagic removes the overhead of maintaining CI infrastructure, speeds iteration, and provides a repeatable pipeline for demonstrating and delivering polished app releases.
Using Flutter's Hot UI (hot reload and hot restart) lets developers inject code changes into a running app and see updated layouts, styles and behaviours instantly without losing app state, making it ideal for rapid prototyping. This real-time feedback loop accelerates iteration on widgets, animations and responsive designs, improves collaboration between designers and engineers, and dramatically shortens the path from idea to working MVP.
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JustAcademy’s "Deploy Flutter to Firebase: A Step-by-Step Tutorial" is a concise guide that walks you through preparing a Flutter app, configuring Firebase services (Authentication, Firestore, Hosting), and using the Firebase CLI to build and deploy your app—covering both web hosting and integration for Android/iOS where relevant. It explains creating a Firebase project, adding platform-specific Firebase SDKs, adjusting app settings, running production builds, initializing Firebase Hosting, and performing the final deploy, with tips for testing and automating releases via CI/CD. By following the tutorial, developers get a practical, end-to-end workflow to ship scalable, real-time Flutter apps quickly and reliably.
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