Thanh LV Study and Blog

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https://thanhlv.com

A collection of technical study notes and blog posts covering software engineering topics. Key areas include Perl (syntax, OOP, context, and safety nets), Apache Cassandra (performance tuning, backup strategies, materialized views, and secondary indexing), Kubernetes architecture, Kafka Brokers, and general concepts like Message Queues, Design Patterns, and Software Architecture.

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What's inside Thanh LV Study

  1. Overview of World Wide Web (WWW) core components and evolution

    The World Wide Web (WWW), invented by Tim Berners-Lee in 1989, is a global information system that allows access to web pages via hyperlinks.

    Core Technical Components:

    • HTML (HyperText Markup Language): The markup language used to create web pages.
    • HTTP (HyperText Transfer Protocol): The protocol used for transmitting data.
    • URL (Uniform Resource Locator): The unique address used to identify resources.
    • Web Browser: The software used to access and display web content.

    Evolution of the Web:

    • Web 1.0: The static web (read-only).
    • Web 2.0: The social web (interactive, user-generated content).
    • Web 3.0: The semantic web (intelligent, machine-readable data).
    • Web 4.0: The symbiotic web (deep integration between humans and technology).
  2. Overview of Internet architecture and history

    The Internet is a complex system comprising multiple layers of hardware and software. Its foundation was laid in the 1960s with the ARPANET project, which introduced packet switching and the Network Control Program (NCP). These evolved into the TCP/IP protocols that form the basis of the modern Internet. The system transitioned from early data exchange methods (such as CDs and analog radio/telephony) to a global network, eventually leading to the creation of the World Wide Web in the early 1990s.
  3. Overview of Design Pattern categories and trade-offs

    Design Patterns are reusable problem-solving models rather than specific code implementations. They are categorized into three main types:

    1. Creational: Focuses on object creation mechanisms.
    2. Structural: Focuses on how classes and objects are composed to form larger structures.
    3. Behavioral: Focuses on communication between objects and the assignment of responsibilities.

    Benefits: Accelerates development, improves maintainability, enhances developer communication, and incorporates collective programming experience.

    Risks/Drawbacks: Improper application can lead to unnecessary complexity, reduced code readability, decreased flexibility, and potential performance degradation.

  4. Overview of Apache Cassandra

    Apache Cassandra is an open-source NoSQL distributed database designed for high scalability and availability without compromising performance. It was originally developed by Facebook and is now managed by the Apache Software Foundation. It is specifically designed to handle Big Data and is often used alongside systems like Hadoop, Spark, and Kafka.
  5. Overview of HTTP 1.1 improvements over HTTP 1.0

    HTTP 1.1 (standardized via RFC 2616 and later RFCs 7230-7235, 9112) was designed to resolve the performance and functional limitations of HTTP 1.0 while maintaining backward compatibility. It introduces critical optimizations to reduce the overhead of establishing TCP connections and improves the efficiency of data transfer between clients and servers.
  6. Overview of Materialized Views

    Materialized Views are tables derived from a base table that automatically update when the base table changes. They store pre-computed data to accelerate complex queries, reducing the need to recalculate data or perform expensive full-table scans.

    Key Benefits:

    • Query Acceleration: Reduces response time by providing pre-computed results.
    • System Load Reduction: Offloads complex computation from the primary query path.
    • Simplified Queries: Allows developers to query a simplified view rather than writing complex joins or aggregations.
    • Automatic Synchronization: Data is kept up-to-date automatically based on the base table changes.

    Trade-offs and Considerations:

    • Storage Cost: Increases storage requirements as data is duplicated into a new table.
    • Write Latency: Updates to the base table trigger updates to the view, which can increase write latency.
    • Consistency Lag: Depending on the implementation, there may be a delay between the base table update and the view update.
    • Management Overhead: Maintaining numerous views across multiple base tables can increase operational complexity.
  7. Overview of BestAIAwards 2025

    BestAIAwards 2025 is a major AI industry event held on May 3, 2025, in Taipei, Taiwan. Organized by the Taipei Computer Association (TCA), the event recognizes outstanding AI products and services, bringing together experts, researchers, and entrepreneurs to share knowledge and network.
  8. Overview of Perl and its primary use cases

    Perl is an interpreted language created in 1987 by Larry Wall, designed for rapid problem solving, particularly for tasks involving text processing, log analysis, and automation. In modern contexts (circa 2026), it is primarily used for:

    • Processing logs, files, and unstructured text data.
    • Writing automation scripts, cron jobs, and lightweight ETL processes.
    • Maintaining legacy enterprise systems.
    • DevOps and System Administration in traditional Unix environments.
  9. Overview of Apache Kafka

    Apache Kafka is an open-source event streaming platform originally developed by LinkedIn and released in 2011. Written in Scala and Java, it is designed for high-throughput, low-latency real-time data processing. At a high level, Kafka is a distributed system consisting of servers called brokers and clients categorized as record producers (which send data) and consumer clients (which read records).
  10. Overview of notable projects from BestAIAwards 2025

    The BestAIAwards 2025 featured several innovative AI and hardware projects, including:

    • Instant Translation Software: An AI-powered tool capable of near-instant translation with automatic language detection (e.g., English to Vietnamese) and minimal latency (approximately 1 second).
    • Home Health Assessment Device: A medical device developed by students from Taipei Medical University for self-health examinations at home (awarded 3rd place).
    • AI Training Optimization Chip: A specialized chip developed by students from Hanoi University of Science and Technology designed to optimize AI training algorithms and reduce training time compared to existing chips (awarded 2nd place).