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Monoliths: Not Dead Yet

Monolithic architectures are still prevalent in over 60% of enterprises, offering simplicity, performance, and cost-efficiency.
Anika's transition from microservices back to a monolithic architecture for an e-commerce platform showcases the enduring relevance and benefits of monoliths.
Monoliths centralize UI, business logic, and data access in a single application with characteristics like single codebase and deployment.
Benefits of monoliths include simplicity, performance, cost-efficiency, ease of prototyping, and career relevance.
Challenges like premature complexity and misconceptions about scalability hinder the adoption of monoliths.
Building a monolith in Java with Spring Boot involves typical steps like development, testing, deployment, scaling, and maintenance.
Comparing monoliths with microservices and serverless architectures emphasizes the strengths and ideal use cases of each.
Real-life case studies demonstrate successful implementations of monolithic architectures in e-commerce, legacy modernization, and SaaS platforms.
Advanced techniques like modularization, scaling, database optimization, and Python implementation enhance monolith development.
Addressing common challenges such as codebase bloat, deployment downtime, database bottlenecks, and team coordination is crucial for maintaining monolithic systems.

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Dev

406

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Timing Attacks: Why Your Code Might Be Leaking Secrets

Side-channel attacks analyze unintended information leakage from the physical implementation of a system during normal operation.
Timing attacks are a common side-channel attack that targets how code runs to extract sensitive data by measuring response times.
Researchers demonstrated extracting RSA private keys over a network through timing analysis in 2003, highlighting the real danger of timing attacks for systems.
Authentication systems with timing leaks can reveal sensitive information through response time differences for valid and invalid inputs.
Rate limiting systems can become timing attack vectors, allowing attackers to detect rate limits and adjust attack patterns.
Defending against timing attacks requires constant-time programming, architectural defenses, and monitoring systems to ensure execution time independence from secret data.
Constant-time comparison functions and architectural defenses like decoupling requests/responses are essential in timing attack defense.
Monitoring systems help detect timing attack attempts through analysis of request patterns and response times.
Protecting code against timing attacks involves switching to timing-safe functions, implementing dummy processing for authentication failures, and using libraries with built-in protection.
Combining defensive layers like constant-time implementations, architectural protections, and monitoring is crucial to resist timing attacks across various applications.

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Damienbod

327

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Experimental alternative flow for OAuth First-Party Applications

A post discusses an experimental alternative flow for implementing native app authentication and authorization using OAuth 2.0 for First-Party Applications draft.
The approach focuses on authenticated device and user onboarding without gaps in secure channels, with the device responsible for user authentication.
Advantages include unique authentication of the application/device, enhanced security with 'auth_session' binding, and flexibility in user onboarding.
Disadvantages entail the need for client assertion adaptation, potential unsecured initial session setup endpoint, and vulnerability to DDoS attacks.

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Logrocket

336

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Leader Spotlight: The right and wrong approach to product-market fit, with Charlie Kaplan

Charlie Kaplan, VP of Product at Audiomack, discusses product-market fit, emphasizing experimentation and studying churn to improve product experience.
He contrasts his experiences at Cymbal, lacking product-market fit, with Audiomack, which has a successful fit with 41 million monthly users.
Kaplan stresses the value of observing user behavior over surveying and emphasizes that actions speak louder than words in product development.
Being a domain expert can provide advantages but may lead to blind spots, necessitating continuous experimentation and avoiding assumptions.
Kaplan reflects on surprising feedback from users that challenged his assumptions, like the success of mobile music uploads on Audiomack.
Studying churn is crucial to distinguishing hype from genuine product-market fit, as seen through examples from Cymbal and Audiomack's features.
Kaplan discusses handling underperforming features, emphasizing the importance of analyzing failures and using insights to iterate effectively.
Balancing user perspectives between artists and listeners is vital for a streaming service's success in creating valuable connections.
Kaplan prioritizes thorough testing and empirical data over speed, believing that continuous refinement based on user insights leads to better products.
His philosophy advocates for daily testing to uncover user truths, ultimately saving time and improving product development.

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Dev

104

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Shell for anxious developers

The article emphasizes the importance of learning bash or Bourne-compatible shells like sh, zsh, and ksh for developers.
It showcases the power of composition using pipes in shell commands to manipulate and process data efficiently.
The article explains the usage of different commands like seq, sort, uniq, and sed to demonstrate shell capabilities.
It highlights the significance of understanding man pages, history expansion, and basic command-line utilities even in minimalistic distributions like Alpine.
The article also delves into loops, conditionals, and variable usage in shell scripting.
It provides examples of practical tasks like updating Git repositories using find, sed, and git commands.
The usage of conditionals, loops, and history expansion is illustrated for effective shell scripting and automation.
The article further explains how exit codes and return statuses of commands can be leveraged in conditionals for error handling.
It encourages customization of the shell environment, making use of history, aliases, and knowledge of test operators for efficient workflow.
The text concludes with a call to make the shell environment personalized, emphasizing the learning journey and self-improvement through shell scripting.
Developers are encouraged to explore the vast possibilities shell scripting offers and to leverage the inherent text-based output for efficient automation.

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Dev

397

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The problem with React and MUI

Material UI presents challenges for developers due to factors like package size, reliance on React, performance issues, disorganized theme system, and limited customization options.
The complexity creep in modern JavaScript libraries like Material UI and React can lead to confusion among new developers entering the ecosystem.
The abstraction in MUI and React can hinder developers' understanding of basic web development concepts such as the DOM, CSS, and JavaScript.
A hands-on approach of building solutions from scratch can offer more flexibility and enhance developers' skills, as seen in the case of creating custom implementations.
Simplifying theme definition and customization, destamatic-ui offers a straightforward method compared to the complexities of Material UI.
The destam stack, including destamatic-ui, destam, and destam-dom, provides a simpler and more efficient alternative to virtual DOM-based libraries like React and MUI.
By using destam-dom for website development, the loading speed, theme transitions, and reactivity can be significantly improved.
Opting for simpler, more efficient tools like the destam stack can enhance the developer experience and lead to leaner, more reactive web applications.
Embracing a back-to-basics approach with libraries like destam can contribute to a healthier ecosystem for developers, making learning and creating web applications more accessible.
Exploring the destam stack, which includes destamatic-ui, destam-dom, and destam, can offer developers a more enjoyable and efficient web development experience.

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Medium

390

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Zip to XML Converter: The Ultimate Guide to Convert ZIP Files to XML

Zip to XML Converter: The Ultimate Guide to Convert ZIP Files to XML
Exploration of Zip to XML Converter, its necessity, and step-by-step conversion process
Top 5 free online Zip to XML converters discussed alongside a guide on building a personalized converter
Details on extracting files from a ZIP archive and converting them to XML format for structured data storage and transport

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Dev

380

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Sorting the Mail: An Introduction to Supervised Learning: Classification

Supervised learning classification is a fundamental concept in machine learning, where algorithms categorize data into predefined groups based on learned patterns, similar to a postal worker sorting mail.
Key components of supervised learning classification include data, features, labels, algorithms, and models, which collectively enable accurate classification of new data points.
Applications of supervised learning classification span various domains such as spam detection, medical diagnosis, fraud detection, customer segmentation, image recognition, and sentiment analysis, offering transformative impact across industries.
While supervised learning classification revolutionizes problem-solving and automation, challenges like data bias, quality, interpretability, and ethical considerations must be addressed to ensure responsible and ethical development and deployment of these technologies.

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Dev

275

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Predicting the Future: An Introduction to Supervised Learning: Regression

Supervised learning, specifically regression, involves using past data to predict continuous outcomes, like house prices based on factors such as size and location.
Regression algorithms learn the relationship between input features and continuous outputs, with types like linear regression handling linear relationships and more complex algorithms dealing with non-linear patterns.
Regression is significant in making predictions about the future across fields like finance, healthcare, and marketing, offering valuable insights for decision-making and outcome improvement.
Applications of regression span various fields such as finance, healthcare, marketing, environmental science, and engineering, empowering automation, efficiency, and new insights from data.

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Dev

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Say Goodbye to Try/Catch Blocks with the ECMAScript ?= Operator

The ECMAScript proposal for the safe assignment operator (?=) introduces a revolutionary way to handle errors in JavaScript by providing a clean, tuple-based alternative to try/catch blocks.
Traditional try/catch blocks can lead to deep nesting and cluttered logic, especially with multiple async operations, while the ?= operator offers simpler error handling and promotes readability and consistency.
The ?= operator works by turning async results into destructurable tuples, with the power coming from a special method called Symbol.result, allowing objects to define how they unpack into [error, result].
Benefits of using the ?= operator include improved readability, consistency, safer execution, adaptability to different APIs, and a better developer experience, although there are current limitations and considerations to keep in mind.

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Dev

214

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🌟 Showcase Your APIs On AquaScript For Free 🚀

AquaScript is a platform for developers to discover, explore, and integrate APIs quickly and easily.
Benefits of submitting your API to AquaScript include visibility to thousands of developers, receiving feedback for improvement, collaboration opportunities, all for free.
All types of APIs are welcomed, including REST APIs, microservices, AI tools, security layers, and experimental APIs.
To submit your API, you can email the details to [email protected] or comment with API name, description, base URL/documentation link, public or private status, rate limits or authentication details, and any additional information for developers.

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Dev

126

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Conditional Grouping — From SQL to SPL #37

Performing conditional grouping in SQL involves complex code with multiple nested queries and window functions for indirect implementation.
On the other hand, in SPL (Structured Process Language), grouping can be done without immediate aggregation, allowing subsets to be kept for further calculation and grouping.
In SPL, data can be processed by grouping it based on certain conditions without the need for extensive nested queries.
SPL simplifies data processing by enabling the retention and further grouping of subsets for efficient data analysis.

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7 Likes

Medium

113

Chapter 6: Blood and Ashes

Klaus and Caroline face off against three cloaked figures radiating ancient power.
Despite the attackers' power, Klaus and Caroline fight back with Klaus snapping a figure's neck and Caroline using her telekinetic abilities.
Caroline gets caught mid-air by one attacker but Klaus saves her by killing the attacker and ensuring she is okay.
The confrontation ends with the attackers triggering an explosion on the west wing of the castle.

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Dev

126

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Apple's Foundation Models Framework: A Closer Look

Apple has introduced the Foundation Models framework, allowing developers to incorporate advanced AI features into their apps.
The framework provides on-device access to a large language model, ensuring privacy, offline functionality, and no additional app size.
Features include getting structured answers through Guided Generation, smoother streaming with Snapshots, enabling app 'skills' with Tool Calling, and maintaining conversation context with Stateful Sessions.
Developers can experiment with these features in Xcode Playgrounds and access the official WWDC25 session 'Meet Foundation Models' for more details.

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Medium

Chapter 5: Cracks in the Armor

Caroline dismisses the guards and confronts Klaus about someone worse than him coming for her.
Klaus reveals that the person is a collector of monsters, deeming Caroline 'collectible'.
Caroline expresses feeling like a cursed artifact and Klaus acknowledges their complicated past.
Klaus tries to remind Caroline of the hope she once represented and believes she is still worth saving.

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