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Prometheus Architecture

Prometheus is an open-source monitoring and alerting toolkit with a structured architecture.
The key components include the Prometheus Server for retrieving, storage, and API access, targets for monitoring, PushGateway for short-lived jobs, Service Discovery for dynamic environments, and Alertmanager for managing alerts effectively.
The Alertmanager is crucial in reducing alert fatigue by grouping, deduplicating, silencing, throttling alerts, and routing notifications to various destinations based on rules.
Prometheus offers interfaces like the Prometheus Web UI, Grafana for visualization, and API clients for interacting with collected data.

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Self-Learning-Java

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How to Add Public Datasets to BigQuery Studio for Easy Data Exploration?

Google Cloud provides public datasets that can be easily accessed and queried in BigQuery Studio for data analysis and business intelligence.
To add a public dataset in BigQuery Studio, navigate to BigQuery Studio in Google Cloud Console and click on the + ADD button in the Explorer panel.
Search for public datasets by typing 'public' in the search box, select Public Datasets, choose a dataset from Google Cloud Marketplace, and review its details before adding it to BigQuery Studio.
Once added, the dataset will be available for querying in BigQuery Studio by using the SQL Query Editor to analyze the data and extract insights.

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Self-Learning-Java

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Quick Tour on BigQuery UI

To efficiently work on BigQuery, it is important to familiarize yourself with the BigQuery UI console.
After logging in to Google Cloud Console, navigate to BigQuery from the hamburger menu.
The BigQuery Explorer leads you to the Query Editor when you click on 'SQL QUERY' button.
The Query Editor allows you to write and execute SQL queries and work on multiple queries simultaneously.
Apart from the SQL Query Editor, you can create Python notebooks, Data Canvases, PySpark Procedures, and more.
In the Job history panel at the bottom, you can view detailed information about BigQuery job executions.
The Left Side Navigation Bar in BigQuery is divided into sections like Pipelines, Governance, Administration, and Migration.
Sections like Pipelines focus on data ingestion, transformation, and scheduling within BigQuery.
Governance sections handle data security, access control, and policy management in BigQuery.
Administration sections provide tools for monitoring, performance optimization, and capacity management in BigQuery.

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Analyticsindiamag

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The Java Secret of Netflix

Java continues to be a powerful choice for Netflix despite not being the trendiest language, with advancements made for developing AI-infused applications.
Netflix uses Java for two sides of its tech stack - global streaming service and Netflix Studios, both emphasizing the importance of Java in data integrity and operations.
Netflix upgraded its backend Java stack to JDK 17 and beyond, resulting in significant performance improvements, including a 20% reduction in CPU time spent on garbage collection.
Netflix transitioned away from reactive programming towards synchronous code powered by virtual threads, with plans to adopt new technologies like GraphQL and Project Leyden to further enhance performance.

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Dev

1.2k

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How to Scrape Amazon Influencer Links Using Python?

Web scraping Amazon influencer links can be complicated due to dynamic content like SiteStripe banners on product pages.
Challenges include missing elements due to JavaScript rendering and discrepancies in scraped HTML based on session and cookies.
To effectively scrape Amazon influencer links, ensure proper authentication and session handling.
Consider using tools like Selenium to handle dynamically loaded content for accurate data extraction.

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Dev

181

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Moving Away from Debian, Trying WSL, and Coming Back to Linux the Right Way

Facing issues with Debian, the user switched to Windows 11 with WSL but experienced performance issues and returned to Linux Mint with Cinnamon.
Linux Mint with Cinnamon provided a hassle-free experience with pre-set functionalities like transparent terminal, functional tray, appropriate scaling options, and pre-installed Flatpak.
The user emphasized a simplified approach: using Flatpak for GUI apps, APT for terminal tools, and managing languages with asdf to maintain system cleanliness and stability.
The user highlighted the importance of avoiding PPAs, preferring mainstream distros like Linux Mint that offer a polished, user-friendly experience with faster package manager and sensible defaults.

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Dev

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The Secret Trick to Customizing Console Logs with CSS

You can style browser console logs using CSS with a simple JavaScript trick
The %c formatter in console.log() allows applying CSS styling to messages
Benefits include highlighting important logs, organizing debug output, and making debugging enjoyable
Advanced styling tricks include using multiple styles in one log, backgrounds, borders, padding, fonts, and shadows

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Medium

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Advancing Quantum Machine Learning with Multi-Chip Ensemble Architectures

The Multi-Chip Ensemble VQC framework, developed by researchers like Junghoon Justin Park and others, partitions quantum computations across multiple quantum chips for scalability and noise resilience.
Key benefits of this framework include its validation with standard datasets and robustness under realistic noise models, showcasing potential for practical Quantum Machine Learning (QML) applications.
The framework aligns with industry efforts for scalable quantum architectures, such as Rigetti Computing's multi-chip processor and MIT's modular hardware platform, highlighting the trend towards modular and scalable quantum computing solutions.
The Multi-Chip Ensemble VQC framework is a significant advancement in practical and scalable Quantum Machine Learning, offering a modular approach that addresses challenges of NISQ devices, positioning it as a promising solution for future QML applications.

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Dev

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From Junior to Senior: Why Your Front-End Skills Need to Grow Beyond the Framework

Mastering a front-end framework like React is just the beginning to becoming a great developer. It is essential to focus on resilient code, performance optimization, and debugging skills.
Front-end developers should have a basic understanding of back-end concepts to make their front-end applications more reliable, such as implementing API caching, error fallbacks, and loading states.
Developers need skills beyond coding, including clear communication, writing documentation, and optimizing for real users rather than just their own environment.
To improve as a front-end developer, focus on enhancing performance metrics, learning back-end concepts, and improving communication skills gradually without overwhelming yourself.

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Testim.io

UI Testing: A Complete Beginner’s Guide With Examples

The article serves as a beginner's guide to UI testing, emphasizing its importance and providing examples and tips for effective testing.
UI testing involves checking how applications handle user actions and ensuring visual elements are displayed correctly and work as intended.
Manual testing is suited for subjective tasks, while automated testing is essential for shorter release cycles and maintaining quality.
UI testing ensures that apps have functional and user-friendly interfaces, empowering users to use the app efficiently.
Key benefits of UI testing include ensuring user tasks can be performed, preventing user abandonment due to a confusing interface, and maintaining app reputation.
Challenges in UI testing include UI volatility, slow test speeds, and the cost of writing and maintaining test scripts.
Overcoming challenges involves implementing a well-thought-out testing strategy, using appropriate tools, and balancing manual and automated testing.
UI testing comprises checking elements like consistency, spelling, typography, interactive behaviors, functional validation, and adaptability across different devices and browsers.
Cross-browser testing is crucial in UI testing to ensure consistent behavior across various browsers, and integrating UI tests into CI/CD pipelines is recommended for continuous testing.
UI testing is a vital part of the overall testing strategy, essential for customer satisfaction, and ensuring a positive user experience.
The article concludes by highlighting the importance of UI testing for customer satisfaction and the author's expertise in software development practices.

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Medium

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“AlphaEvolve: When AI Becomes the Innovator”

In May 2025, Google DeepMind introduced AlphaEvolve, an AI system that autonomously designs algorithms surpassing human-crafted solutions in efficiency and performance.
AlphaEvolve combines DeepMind's Gemini AI with evolutionary techniques, outperforming longstanding methods like the Strassen algorithm in matrix multiplication.
The versatility of AlphaEvolve is showcased in practical applications such as data center scheduling and chip design, marking a significant leap in machine learning capabilities.
The emergence of AlphaEvolve heralds a new era where AI evolves from a tool to a collaborator in innovation, raising discussions on human oversight, ethics, and machine autonomy.

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Dev

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How I Passed the AWS Exam in 10 Days(no bs)

A person shared their experience of passing the AWS Cloud Practitioner exam in just 10 days.
The individual extensively studied Stéphane Maarek's course on Udemy, committing to learning even during work breaks.
After completing the course and taking 8 mock exams, the person gained enough confidence to pass the exam and rescheduled it for a later date.
Key lessons learned included having a good mentor, buying a notebook for notes, explaining the services out loud for better understanding, creating a challenge, and practicing AWS services for practical experience.

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Medium

7 Flutter Stream Techniques That Will Make You Code Like a Pro

Flutter apps can face issues with setState calls and callback spaghetti due to poorly structured state management.
An architect suggested using Flutter Streams to address performance issues and bugs in codebase.
Advanced Flutter Stream techniques can simplify complex async workflows and make code more maintainable.
Exploring powerful and elegant patterns of Flutter Streams can enhance code quality and development efficiency.

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Dev

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A beginner's guide to the Hyper-Flux-16step model by Bytedance on Replicate

Hyper-Flux-16step is a text-to-image generation model developed by ByteDance, capable of generating high-quality images from text prompts.
The model is a 16-step variant of the Hyper FLUX model, offering potentially improved performance over the 8-step version.
Inputs for the hyper-flux-16step model include text prompt, image size, aspect ratio, seed for reproducibility, guidance scale, and inference steps.
The model outputs one or more image files in WebP format based on the input parameters provided.

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Idownloadblog

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Lumier is a project that lets you run easily-configured virtual machines on your Mac using Docker

Lumier is a project that allows Mac owners to run macOS virtual machines inside Docker for easy configuration.
It offers minimal setup and uses Apple Virtualization Framework through the Lume CLI virtualization service.
Lumier provides web browser-based VNC connectivity and file sharing between host and virtual machines.
While Lumier leverages Docker for delivery, its focus is on ease of use and setup rather than security.

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