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Self-Learning-Java

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How to expose Gauge metric using Prometheus Java Client?

  • Prometheus uses Gauge as a metric type to represent a single numerical value that can fluctuate.
  • Gauge is used to track current values that can go up or down such as memory, CPU usage, and queue size.
  • In Java with Prometheus client library, Gauges are defined and updated based on logic like setting, increasing, or decreasing values.
  • An example Java application with Gauge metric for active users count is provided, demonstrating how to use Gauges to monitor and expose metrics.

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Self-Learning-Java

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How to add labels to the exposed Prometheus metrics in Java?

  • Prometheus uses labels as key-value pairs attached to metrics to provide more context.
  • Labels in Prometheus help differentiate data points for a metric.
  • In Java, labels can be added when building metrics using methods like 'labelNames'.
  • Labels can be set and incremented for metrics to capture specific information such as endpoint and app name.

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Javacodegeeks

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Add Line Break After Log Statement Example

  • Logging is crucial for understanding application behavior, but raw logs can be overwhelming without clear separation.
  • Adding a line break after log statements can enhance log readability and distinguish between operations.
  • Methods to add line breaks in Java logs include using System.lineSeparator() dynamically for platform-specific separators.
  • By appending System.lineSeparator() to log messages, blank lines can be added effectively.
  • Using SLF4J placeholders, System.lineSeparator() can be incorporated for better log formatting.
  • An example code snippet demonstrates adding line breaks after log statements.
  • Another approach involved pre-Java 7 usage of System.getProperty("line.separator") for line breaks.
  • Configuring global blank lines in log patterns (e.g., logback.xml) can offer a consistent way to add spacing.
  • Logback configuration with %n%n appends an extra blank line globally for better log layout.
  • In conclusion, setting up logger patterns globally for blank lines can improve log readability, aiding in effective log analysis.

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Medium

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My Node.js App Was Dying… Here’s How I Saved It

  • The author shares their experience of rescuing a Node.js application that was struggling with performance issues as user traffic increased.
  • Initially, the application worked well on the author's machine but started slowing down and crashing as more users accessed it.
  • The author and their team developed a real-time collaboration tool that faced challenges such as requests timing out, user complaints about lag, and server logs indicating issues.
  • To improve the application's performance, the author decided to delve deeper into Node.js capabilities and implement necessary changes to optimize the app.

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Insider

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Tech companies have a new hiring requirement: vibe coding

  • Tech companies like Visa, Reddit, DoorDash, and others are now seeking candidates with experience in vibe coding, which involves using AI tools to generate code.
  • Vibe coding is being viewed as a way to boost product development speed, with companies aiming to increase their productivity by utilizing AI coding tools like Cursor and Bolt.
  • While vibe coding is becoming increasingly essential for faster coding and prototype generation, it is not expected to replace senior engineers in the industry anytime soon.
  • The emphasis on vibe coding in tech job ads reflects the industry's focus on accelerating product development and enhancing engineering team efficiency through AI-driven coding tools.

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Dev

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AI Funding and Developments: Navigating the 2025 Landscape

  • AI funding in 2025 continues to surge, with global venture capital investments surpassing $80 billion in Q1. North America leads with 86.2% of global AI capital influx.
  • India emerges as a strong player in AI, with government initiatives, infrastructure enhancement, and rising startup activity propelling the nation forward.
  • Notable funding highlights include OpenAI securing a $40 billion round, Anysphere raising $900 million, and Inflexor Ventures targeting a $150 million fund for AI investments.
  • Investors prioritize AI ventures with proven use cases and ROI, leading to a shift towards vertical AI applications and an emphasis on ethical and governance frameworks.

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PlanetPython

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Django Weblog: Django bugfix releases issued: 5.2.3, 5.1.11, and 4.2.23

  • Django team issues bugfix releases for Django 5.2.3, 5.1.11, and 4.2.23 to complete mitigation for CVE-2025-48432.
  • The updates address potential log injection via unescaped request path by migrating remaining response logging paths to a safer implementation.
  • The bugfix releases do not introduce new CVE but strengthen the original fix, urging all Django users to upgrade promptly.
  • Patches to resolve the issue have been applied to Django's main, 5.2, 5.1, and 4.2 branches, with download links and checksums provided for the new releases.

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Pymnts

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Bank of America Taps Merchant Data to Boost Payment Approval Rates

  • Bank of America is leveraging merchant data to enhance payment approval rates.
  • Data sharing between issuers and merchants is crucial to improve authorization decision-making, especially in the rise of card-not-present transactions.
  • Technology solutions like Trusted merchant IDs and APIs are being utilized for better authentication decisions and claims investigations.
  • Efforts are being made to optimize the payment experience by securely storing card information for future use and enhancing security measures like 3DS 2.0 and 3DS Data Only.

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Dev

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Developers, Stop Guessing , Real Users Are Telling You What Works

  • Real users behave differently from developers' test assumptions.
  • Emulators do not capture real touch interactions, network fluctuations, device-specific rendering quirks, and performance impacts accurately.
  • A/B testing is effective only when based on how users experience the app, accounting for real device behavior.
  • Real device testing tools like NativeBridge provide deep interaction metrics and enable UI-first A/B tests on actual devices for better app optimization.

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Dev

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🎯"Don’t Forget Your Git Identity: A Must-Do When Starting a New Project"

  • Setting up your Git config, including your name and email, is crucial when starting a new project to avoid misattributed commits or incorrect identities.
  • Configuring your Git identity ensures that commits are correctly linked to your profile and maintains a consistent commit history in team projects.
  • Git config can be set using --local, --global, and --system scopes, with --local being project-specific, --global for user-wide settings, and --system for system-wide configurations.
  • Best practices include using --local for project-specific identities, avoiding --system unless necessary, and always verifying Git config settings before committing to a new repository.

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Dev

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When Code Feels Empty: A Developer’s Honest Confession

  • A developer reflects on how coding used to give them a sense of accomplishment and intelligence, but now leaves them feeling empty.
  • Despite trying new languages and projects, the spark for coding did not return, leading to a realization that purpose and meaning were missing.
  • The developer discovered that coding without a sense of purpose was the underlying issue, leading them to explore new avenues like writing, AI, psychology, and creative tech.
  • The advice to developers feeling stuck is to give themselves space to explore and find what truly ignites their passion, rather than forcing themselves to love coding every day.

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Nordicapis

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Comparing 7 AI Agent-to-API Standards

  • Agentic AI has gained significant popularity, with many companies implementing it and planning to expand its use in the coming year.
  • New standards have emerged to allow AI agents to interact directly with APIs, offering various approaches that are not necessarily competitive but rather complementary.
  • Anthropic's MCP (Model Context Protocol) aims to extend AI tools like LLMs by connecting applications and data sources to provide relevant context for tasks.
  • Google's A2A (Agent2Agent) protocol enables communication between AI agents using 'Agent Cards' to describe capabilities, utilized by companies like Google and Salesforce.
  • Cisco's ACP and AGP proposals under the AGNTCY initiative are designed to create an 'Internet of Agents,' allowing diverse agents to interact.
  • Wildcard's agents.json provides a lightweight schema for describing agents' metadata, aiding in discovering and implementing the right agent, used by companies like Slack and HubSpot.
  • LangChain's Agent Protocol offers a REST-based specification for deploying LLM-powered agents, facilitating orchestration in production environments, utilized by companies including Cisco and Fetch.AI.
  • Agile Lab's Agent Specification, available as a detailed YAML file, helps standardize agents by describing their domain, value, and target user, offering a comprehensive approach for integration.
  • AI agent-to-API standards play a crucial role in enabling agents to communicate effectively, ensuring secure and efficient interactions between autonomous agents.
  • The variety of standards available cater to different needs, such as integrating agents into local tools, designing multi-agent ecosystems, connecting agents to APIs, or facilitating agent integration in various environments.

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Medium

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ML.NET vs Python: Which One Should You Use for Machine Learning in 2025?

  • ML.NET is a different approach from Python for machine learning, designed to integrate seamlessly with .NET applications.
  • ML.NET allows developers to stay within the .NET ecosystem, avoiding the need to switch languages or tools.
  • Python, on the other hand, is known for its conciseness, while ML.NET offers direct integration into .NET applications for easy production deployment.
  • Tutorials for both ML.NET and Python are available on Archety.dev to help users learn and choose based on their preferences.

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Medium

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The Art of Balance: Navigating SSR, SSG, and CSR in Modern Frontend Architecture

  • Client-Side Rendering (CSR), Server-Side Rendering (SSR), Static Site Generation (SSG), and Incremental Static Regeneration (ISR) are core tools in modern frontend architecture.
  • Choosing the right rendering method depends on factors like content volatility, SEO importance, performance, server load, interactivity, and user experience.
  • Most large-scale applications use a hybrid approach incorporating frameworks like Next.js, Nuxt.js, and SvelteKit for flexible rendering strategies.
  • Dynamic routing and caching strategies play crucial roles in optimizing performance and scalability in modern frontend development.

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Dev

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Read This Before OOP-ing Your Project : The Curse of Inheritance.

  • The writer shares their experience of how Object-Oriented Programming (OOP) almost derailed their project despite loving OOP initially.
  • The complexity arose when working on a UI framework in C++, where issues with polymorphism and inheritance in strongly typed OOP languages became apparent.
  • Polymorphism in OOP allows different classes to inherit from the same parent but can lead to limitations in accessing specific behaviors of subclasses.
  • Solutions proposed include bloating the base class with all possible behaviors, premonition design anticipating future behaviors, and downcasting for runtime identification.
  • However, these solutions introduce complexities and make maintenance challenging, leading to a refactoring nightmare.
  • The writer suggests considering alternatives like Entity-Component-System (ECS), Procedural programming with 'Dead Objects,' and using Unions or Algebraic Types over OOP Inheritance for future projects.
  • They highlight the pitfalls of OOP in practice, especially in languages like C++, urging caution before fully embracing OOP for large projects.

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