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How JavaScript signals are changing everyday development

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Tags javascript web-development how-to app-development nodejs

In recent times, JavaScript and signals have gained attention as a powerful new tool for managing reactive states. But how did that come about? By Hrvoje D. In this blog post, we’ll dive into what signals are, explore how this “new” approach to development really works, and compare it to previous state management solutions.

Signals are basic data units that can automatically alert functions or computations when the data they hold changes. So signals can work two ways, they can receive data and they can transmit data down the line. There are plenty of similar examples being used in different frameworks, which all have their little changes in implementation, but in fact are used to get the same thing in the end.

The article mentions examples of similar signal usages in JavaScript:

  • React hooks comparison
  • Angular RxJS comparison
  • Simpler state management
  • Signals in the JavaScript ecosystem

The JavaScript Signals proposal is an initiative by TC39 to establish a standard for managing reactive states across JavaScript applications. While JavaScript previously introduced a standard for promises, this proposal differs by focusing on a foundational reactive model that frameworks can adopt, facilitating interoperability across libraries like React, Angular, and Vue. By focusing on features like automatic dependency tracking, lazy evaluation, and memoization, Signals aim to simplify functional reactive programming and enable efficient, glitch-free state updates. Good read!

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How Kubernetes requests and limits really work

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Tags devops agile cicd app-development kubernetes containers

Kubernetes is inarguably an elegant, refined, well-designed edifice of open source enterprise software. It is known. Even so, the internal machinations of this mighty platform tool are shrouded in mystery. Friendly abstractions, like “resource requests” for CPU and memory, hide from view a host of interrelated processes — precise and polished scheduling algorithms, clever transformations of friendly abstractions into arcane kernel features, a perhaps unsurprising amount of math — all conjoining to produce the working manifestations of a user’s expressed intent. By Reid Vandewiele.

By the time you reach the end of this article, you will learn:

  • Big picture view: Layers in the looking glass
    • Pod spec (kube-api)
    • Node status (kubelet)
    • Container configuration for CPU (container runtime)
    • Container configuration for memory (container runtime)
    • Node pressure and eviction (kubelet)

A node becomes “full” and unable to accept additional workloads based on resource requests. The actual CPU or memory used on the node doesn’t matter in deciding whether the node can handle more pods. If you want a node being “full” to mean its actual CPU and memory resources are being used efficiently, you need to make sure CPU and memory requests match up with actual usage. Interesting read!

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How to use GPT to analyze large datasets

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Tags big-data machine-learning apis ai azure database cloud

Absorbing and then summarizing very large quantities of content in just a few seconds truly is a big deal. As an example, a while back I received a link to the recording of an important 90 minute business video conference that I’d missed a few hours before. By David Clinton.

The article explains:

  • How to use GPT for business analytics
  • How to prepare a dataset
  • How to apply LlamaIndex to the problem
  • Wrapping up

GPT – and other large language models (LLMs) – are capable of independently parsing, analyzing, and deriving insights from large data sets. But, overall, you can accomplish more and faster than you can probably imagine right now. While all that greatly simplifies the data analytics process, success still depends on understanding the real-world context of your data and coming up with specific and clever prompts. That’ll be your job. Nice read!

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Gmail rolling out Gemini-powered contextual smart replies

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Tags miscellaneous google apis ai

Following the announcement at I/O 2024, Google is now rolling out Contextual Smart Replies to Gmail for Android and iOS. Compared to Smart Reply, which dates back to 2017, the contextual version is “meant for detailed responses.” Gemini “can analyze the context of an email” and suggest replies that are “tailored to your conversation.” By Abner Li.

The three Smart Replies appear in a carousel, with the first line noting the high-level direction of each generated option and how they differ from one another. You can long-press on “each response to get a quick preview of the text.” Tapping inserts the suggestion, which includes a greeting and closing, into the body of the email for you to make further edits.

As of launch, only English is supported, while you need to be on one of the following paid tiers:

  • Google One AI Premium
  • Gemini Business, Enterprise, Education, Education Premium

Contextual Smart Replies are rolling out starting today and will be fully available in the coming weeks. Interesting read!

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CSS masonry & CSS grid

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Tags web-development learning css frontend

An approach for creating masonry layouts in vanilla CSS is one of those “holy grail” aspirations. I actually tend to plop masonry and the classic “Holy Grail” layout in the same general era of web design. They’re different types of layouts, of course, but the Holy Grail was a done deal when we got CSS Grid. By Geoff Graham.

That leaves masonry as perhaps the last standing layout from the CSS 3 era that is left without a baked-in solution. I might argue that masonry is no longer en vogue so to speak, but there clearly are use cases for packing items with varying sizes into columns based on available space. And masonry is still very much in the wild.

The article explains:

  • What is masonry layout?
  • Examples, please?
  • There are two competing proposals
  • The case for merging masonry and grid
  • The case for keeping masonry separate from grid

There are two competing proposals for CSS masonry at the time of writing and many opinions are flying around advocating one or the other. Both proposals have merits and come with potential challenges — it’s a matter of what you prioritize which, in this case, I believe is a choice between leveraging existing CSS layout features and the ergonomics of a fresh new approach. Interesting read!

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Web development career roadmap: Jobs and levels guide

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Tags web-development learning teams career

Explore the job-leveling matrix for Web Development. Understand the roles and skills needed to advance from beginner to leader. By Coursera.

The article does a good job explaining:

  • What is a job leveling matrix for web development

  • How to use this job leveling matrix for web development

  • Example of a web development job leveling matrix

  • Typical web development career progress and roles

  • Educational requirements for a career in web development

  • Recommended web development courses

Web development is a dynamic and creative field that requires a blend of artistic flair and technical prowess to build and maintain websites and web applications. This guide provides a structured pathway for career development in web development, detailing essential roles and skills needed to progress from an entry-level developer to a senior leader. Good read!

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Agile vs DevOps: Which should you choose and why

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Tags devops teams cio agile cicd

Agile and DevOps Approaches: Agile focuses on iterative development and flexibility, while DevOps emphasizes continuous delivery, automation, and collaboration between development and operations teams. Agile and DevOps are two distinct but complementary approaches to software development, each with unique strengths. This article explores their differences and helps you decide which approach—or combination of both—is best suited to your organization’s needs. By Niranjani Manoharan.

The article also reads about:

  • Agile software development practices
    • Has the industry really transformed from a waterfall approach?
    • Agile frameworks and its variants
  • DevOps approach
  • Should you use Agile or DevOps?
  • The ideal software development methodology
  • CI/CD

The choice between Agile and DevOps depends on your organization’s goals, team structure, and project needs2. Many organizations find success in combining both approaches to maximize efficiency and quality. Nice one!

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AMD sees next AI Chip in mass production later this year

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Tags ai robotics cio miscellaneous big-data

AMD plans to release its next-generation MI350 series chips in the second half of 2025. These chips include an increased amount of memory and will boast a new underlying architecture that AMD said will improve performance significantly over the prior MI300X and MI250X chips. By Reuters.

Announcement also covered:

  • New AI Chip Production: AMD plans to start mass production of its new AI chip, the MI325X, in the fourth quarter of the year. This chip aims to compete with Nvidia’s offerings and will be shipped to customers in early 2025
  • Future Chip Releases: AMD announced the MI350 series chips, expected in the second half of 2025. These chips will feature increased memory and a new architecture for improved performance
  • Market Reactions: Despite the announcements, AMD’s shares fell nearly 5% due to the lack of new cloud-computing customers. In contrast, Nvidia’s shares rose by 1.5%
  • Additional Announcements: AMD also unveiled new server CPUs and PC chips based on the Zen 5 architecture, designed to enhance AI processing and data center performance
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Advantages and disadvantages of distributed systems

Categories

Tags distributed aws software-architecture cloud

Distributed systems offer numerous benefits such as scalability and fault tolerance but also present challenges like complexity and data consistency. This article explores both the advantages and disadvantages of distributed systems, providing insights into their impact on modern computing environments. By geeksforgeeks.org.

Distributed Systems are a class of computing systems where components located on networked computers communicate and coordinate their actions by passing messages. These systems aim to achieve a common goal, often functioning as a single coherent system despite being physically distributed.

Some advantages mentioned in the article:

  • Scalability
  • Fault tolerance and reliability
  • Resource sharing …

And example of disadvantages:

  • Complexity
  • Network dependency
  • Data consistency challenges …

Distributed systems offer compelling advantages, including scalability, fault tolerance, and enhanced performance, making them ideal for handling large-scale, dynamic applications. They facilitate resource sharing, global accessibility, and flexibility. However, these benefits come with challenges such as increased complexity, network dependency, and data consistency issues. For more follow the link to full article!

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8 essential Android 15 security features you should set up immediately

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Tags android learning app-development infosec google

Google has released Android 15, which includes several significant security enhancements. These updates focus on privacy and theft protection, such as Private space, which allows users to create a separate, secure area on their device for sensitive data and apps1. Additionally, theft protection features include automatic device locking if theft is detected and preventing factory resets without authentication. By Parth Shah.

Partial screen recording is another new feature, allowing users to record only specific apps, enhancing privacy2. Android 15 also introduces enhanced OTP protection, blocking one-time passwords from being viewed remotely or recorded. The Privacy Sandbox aims to improve user privacy by limiting third-party tracking and enhancing transparency and control over personal data3.

Key Points:

  • Private space: Secure area for sensitive data and apps1.
  • Theft protection: Automatic locking and prevention of unauthorized factory resets.
  • Partial screen recording: Record specific apps only.
  • Enhanced OTP protection: Blocks remote viewing and recording of OTPs4.
  • Privacy Sandbox: Limits third-party tracking and enhances user privacy.
  • MAC address randomization: Improves privacy on Wi-Fi networks5.
  • On-device live scanning: Detects phishing and deceptive behavior6.
  • Unencrypted network warnings: Alerts for unencrypted cellular networks.

Other notable features include MAC address randomization for Wi-Fi connections, on-device live scanning for phishing and deceptive behavior, and warnings for unencrypted cellular networks. These updates collectively make Android 15 a robust upgrade in terms of security and privacy. Good read!

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