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5 Essential Patterns for Building Resilient Java Microservices: A Developer's Guide

Circuit Breaker pattern isolates problematic services and prevents cascading failures and can be implemented in Java using libraries Hystrix or Resilience4j.
Service Discovery pattern allows services to register themselves and discover other services without hardcoding network locations. Spring Cloud Netflix Eureka is a popular choice for implementing service discovery in Java applications.
API Gateway pattern is a centralized place for handling cross-cutting concerns like authentication, logging, and rate limiting. It's advisable to design API gateway to handle the expected load and implement caching strategies.
Event Sourcing pattern persists all changes as a sequence of events, and it offers an enhanced audit trail and flexibility. It allows reconstruction of the account state at any point in time.
Command Query Responsibility Segregation (CQRS) separates read and write operations, allowing each to be optimized independently, and is especially useful in systems with a complex domain model or high read-write margin.
Implementing these patterns in Java microservices requires appropriate consideration of your specific use case and requires performance testing and maintaining observability in rigid systems.
Ensure security in your system with proper service-to-service authentication and authorization, OAuth2 and JWT (JSON Web Tokens) are commonly used for this purpose in Java microservices and consider using a message broker like Apache Kafka for reliable event distribution.
Container technologies like Docker and orchestration platforms like Kubernetes greatly simplify the deployment and scaling of Java microservices.
Leveraging Circuit Breaker, Service Discovery, API Gateway, Event Sourcing, and CQRS patterns, you can create robust Java microservices systems that withstand modern, distributed computing environments.
As you venture into the realm of microservices, keep learning and innovating, and remember that building resilient systems is as much about understanding patterns as it is writing code.

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Stackabuse

389

Performance Optimization for Django-Powered Websites on Shared Hosting

Running a Django site on shared hosting can be really agonizing, but with a few fixes here and there, you can get your site running way smoother.
Reducing server load, regular monitoring and contacting your hosting provider can help you handle the limited resources and avoid the noisy neighbor effect on shared hosting.
Flipping the debug switch off, configuring allowed hosts and caching are some tricks to make your site more secure and efficient.
Query optimization can be done by using .select_related() and .prefetch_related(), indexing your database and fetching only what you need.
Offloading static files to a CDN can improve your site's speed by freeing up server storage, and it's better to compress and optimize files to reduce sizes.
Keeping middleware lightweight reduces server strain and uses fewer resources.
Optimizing your frontend code can dramatically improve the user experience by combining CSS and JavaScript files, compressing images without losing quality, delaying image loading and enabling gzip compression.
Tools like Django Debug Toolbar, Sentry, New Relic or Google Lighthouse help in monitoring, measuring and optimizing your code, settings and site's performance.
These tricks can make a big difference in your Django site’s performance on shared hosting without spending too much money.
But if your site is still slow, it might be time to switch to cheap dedicated hosting plans.

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Medium

250

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Hashing in Python Sets and Dictionaries

Hashing is a process that converts data into a fixed-size numerical value, known as a hash code.
In Python, sets and dictionaries are implemented as hash tables.
Sets use a hash function to determine the position of elements in memory.
This allows for fast membership tests and efficient insertion, lookup, and deletion operations.

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Medium

393

The Importance and Utility of Git in Programming

Git is a version control system that excels in collaboration and parallel development.
It allows multiple developers to work on the same project simultaneously by creating separate branches.
Git's distributed nature ensures work can continue even when the central server is unavailable.
It promotes accountability, transparency, and streamlines development through CI/CD pipelines.

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Dev

170

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7 Crazy Things In JavaScript: Love It or Hate It

"NaN" Is a Number? JavaScript classifies "NaN" as a number.
Adding Arrays? JavaScript joins them into a string instead of throwing an error.
True + True equals 2 in JavaScript because true is treated as 1.
undefined and null are not the same in JavaScript.

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Dev

275

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12 Tips and Tricks for Mastering CSS

CSS brings your HTML skeleton to life, adding colors, shapes, layouts, and interactivity. With these CSS tips and tricks, you can master CSS like a pro. In this article, we covered 12 CSS techniques that every developer — from beginners to pros — should know. These include organize your CSS, master the box model, embrace flexbox for layouts, grid: flexbox’s powerful cousin, variable power with custom properties, leverage pseudo-classes and pseudo-elements, responsive design made easy, shiny effects with CSS animations, debugging CSS like a detective, experiment with blend modes and filters, simplify with utility classes and stay updated and inspired. To create beautiful, responsive, and engaging websites CSS is both an art and a science.
To stay organized while writing CSS, make sure to group styles logically, use comments, and follow a naming convention.
The box model is at the core of CSS layout. Use browser developer tools to inspect elements and see the box model in action.
Flexbox is your best friend for creating responsive layouts without resorting to floats or positioning hacks.
CSS Grid is another excellent layout system, and it’s perfect for building complex designs.
Master CSS with custom properties. CSS variables make your code easier to maintain and theme.
Pseudo-classes and pseudo-elements add interactivity and visual flair without additional markup.
Responsive design ensures your site looks great on all devices.
Animations can grab attention and enhance user experience. Use keyframes for custom animations, and transitions for subtle effects.
CSS bugs can be sneaky, but with developer tools, you’ll catch them quickly.

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Dev

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From Concept to Impact: A Journey Through My Fraud Detection Model

Fraud detection in financial systems is like finding a needle in a haystack—except the haystack is dynamic, ever-changing, and massive.
The author developed a fraud detection model designed to identify suspicious activity in a vast ocean of data.
The author generated a synthetic dataset of 1,000,000 transactions using Python's Faker and NumPy libraries.
The author focused on feature engineering—an investigator's toolkit for uncovering hidden patterns.
The author crafted rules to classify transactions as suspicious and coded these rules into a function that flagged suspicious transactions.
The author trained several models, each with its unique strengths, and evaluated them using metrics like Precision, Recall, and AUC.
The author designed a feedback loop where flagged transactions were reviewed by a fraud team, and their feedback updated the training data.
The author plans to explore deep learning for anomaly detection, implement real-time monitoring systems, and continuously refine rules based on new fraud patterns in the future.
Fraud detection is all about safeguarding trust, and this project is a small but meaningful step in that direction.
The author learned about scalability, adaptability, and collaboration during the project.

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Dev

419

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Database Generation

Artificial Intelligence has transformed database generation, introducing methods like synthetic data creation, vector databases, and AI integration.
Generative Adversarial Networks and Variational Autoencoders are used for synthetic data generation, providing high-fidelity datasets.
Vector databases store data as vectors, enabling efficient similarity searches and supporting AI functionalities.
AI-augmented databases automate tasks like query optimization, anomaly detection, and predictive analytics, improving performance and decision-making.

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Python Blogs

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How to Unlink Facebook From Instagram: A Complete Guide

Unlinking your Instagram account from Facebook is a straightforward process.
Reasons to unlink include better control over content, privacy, and separate management of accounts.
To unlink on the Instagram app, go to settings, select Accounts Center, and remove the linked Facebook account.
To unlink on the web, log into Instagram, access settings, find linked accounts, and remove Facebook.

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Dev

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Difference between AddScoped, AddTransient and AddSingleton in .netcore

In .NET Core, services can be registered with different lifetimes in the dependency injection (DI) container.
Singleton lifetime creates only one instance of the service for the entire application.
Scoped lifetime creates a new instance of the service for each HTTP request.
Transient lifetime creates a new instance of the service every time it is requested.

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Medium

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Introduction to Python Programming Language

Python is a powerful and versatile programming language that is widely used in various industries.
It has a simple syntax and is easy to learn, making it a great choice for beginners.
Python can be used for web development, data analysis, machine learning, and automation.
It supports a large and active community, as well as numerous libraries and frameworks.

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Dev

433

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MYTH: You Need a CS Degree to Get Started with Software Engineering

You don't need a formal computer science degree to become a software engineer.
Here are seven highly recommended free courses to kickstart your software engineering journey:
MIT - Distributed Systems, UC San Diego - Data Structures and Algorithms, Stanford - Computer Science 101, Systematic Debugging, Princeton University - Computer Architecture, Introduction to the Theory of Computation, Stanford - Introduction to Databases.
These courses cover topics ranging from distributed systems and data structures to computer architecture and databases.
With these free resources, you can build your skills and succeed in the tech world without a formal CS degree.

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Dev

201

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Useful JavaScript tips and tricks that you may not be aware of 💻👨‍💻

JavaScript is a widely used web programming language.
Automatic Semicolon Injection (ASI) in JavaScript: JavaScript uses semicolons to indicate the end of a line, but they are optional due to Automatic Semicolon Injection.
Non-sequential Array keys and indexes: JavaScript allows setting elements by array index even if the array is not up to that index yet.
Finding the OS type using JavaScript: The window.navigator object can provide information about the visitor's browser OS details.
How to detect whether a mobile browser is being used for browsing: JavaScript can be used to detect mobile browsers by checking the userAgent property.

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Medium

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Play with UTXO's

UTXOs, or unspent transaction outputs, are like digital building blocks that can be manipulated off-chain.
By leveraging the Outixs format, users can manage UTXOs in a structured environment, enabling the creation of virtual economies, identity layers, and complex systems.
Off-chain, UTXOs can be rapidly prototyped, represented as dynamic assets in metaverses, used to create fluid economies, and combined to build composable worlds.
The decentralized nature of Outixs metaverses allows individuals to create personalized domains, such as virtual economies, land and territory metaverses, identity and reputation systems, event-driven worlds, and artistic and cultural worlds.

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Medium

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Understanding The Python Basics

Python is a powerful, versatile, and simple programming language, ideal for beginners.
Python has an active community and an extensive library of resources.
Variables are data storage containers. Python is dynamically typed, so you don't need to declare the type of variable.
Control flow statements such as if, elif, and else enable decision making in Python.
Functions are reusable blocks of code.
Lists and dictionaries are built-in data structures in Python.
Python utilizes the try and except blocks for graceful handling of errors.
Python simplifies file operations, where you can read from and write to files.
With practice, Python can unlock opportunities in fields like data science, machine learning, and web development.
The basic concepts of Python, including variables, control flow, functions, and data structures, formulate a good foundation for further exploration into advanced programming.

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