Here is short info about post: Concurrency has long been a core strength of Java, thanks to its robust threading model and well-established libraries. However, traditional threads have historically been heavyweight and resource-intensive, limiting scalability for modern cloud-native applications. Since Java 8, the language and platform have seen significant improvements to concurrency APIs and mechanisms. By the time we reach Java 21, the introduction of virtual threads has fundamentally redefined how developers build scalable, highly concurrent systems. This article examines the major concurrency advancements from Java ... How Java Concurrency Has Improved From Java 8 Enhancements To Java 21 Virtual Threads, Enabling Lightweight, Scalable, And Efficient Multithreaded Execution

Here is short info about post: Feature flags (also known as feature toggles) allow you to control the availability of application features at runtime without deploying new code. Among the different types of feature flags, kill switch feature flags play a crucial role in production stability. They allow you to instantly disable a feature that is causing performance issues, security vulnerabilities, or unexpected errors. In this article, we will walk through how to implement kill switch feature flags in a Spring Boot application using a step-by-step ... How to Implement Kill Switch Feature Flags in a Spring Boot Application

Here is short info about post: In modern AI development, enabling language models to interact seamlessly with external tools or APIs is a cornerstone capability. Microsoft’s Semantic Kernel delivers this by serving as an orchestration layer that integrates large language models (LLMs) with external plugins, tools, memory, and planning capabilities. When combined with Azure OpenAI, the Kernel gains powerful LLM endpoints for chat completions and more. The Model Context Protocol (MCP), meanwhile, introduces a standardized interface that unifies how LLMs call tools—bridging the gap between agents ... How To Integrate Semantic Kernel With Azure OpenAI And MCP To Discover Tools, Register Them As Functions, And Enable AI Agents To Invoke Them Dynamically

Here is short info about post: Writing network servers that can handle thousands—or even hundreds of thousands—of concurrent connections is a classic challenge, especially under high load. Go makes this remarkably doable with its built-in concurrency model and runtime-integrated I/O multiplexing. Even though developers write seemingly blocking calls like conn.Read() or ln.Accept(), Go handles them efficiently behind the scenes using non-blocking I/O with epoll on Linux and kqueue on BSD-based systems like macOS. This article dives deeply into how this works, with code examples, low-level insight, ... How Go’s Standard Net Package Handles Thousands Of Connections Under High Load Using Non-Blocking I/O Via Epoll On Linux Or Kqueue On BSD/macOS

Here is short info about post: Google Cloud Platform (GCP) provides a robust set of tools to build scalable, secure, and reliable cloud infrastructure. This article details how to build a secure GCP stack using a custom Virtual Private Cloud (VPC), a Compute Engine VM with private access, Cloud SQL for PostgreSQL, and BigQuery. We will cover best practices, step-by-step instructions, and code examples to help you implement a secure setup. Designing the Secure GCP Architecture The architecture will include: Custom VPC with segregated subnets to ... How To Build A Secure GCP Stack Using A Custom VPC, VM With Private Access, Managed Cloud SQL PostgreSQL, And BigQuery

Here is short info about post: Imagine asking your BigQuery data questions like “Which products sold the most last month?” in plain English—and getting an immediate, accurate answer. This is now possible using the Model Context Protocol (MCP), which lets Claude Desktop securely connect to a BigQuery MCP server and turn natural language into actionable SQL queries. In this article, you’ll learn: What MCP is and why it matters How to install and configure a BigQuery MCP server How to connect Claude Desktop to BigQuery How ... How To Build An MCP Server That Allows Claude’s Desktop To Connect To Your BigQuery Data And Talk To Your Data In Natural Language

Here is short info about post: In modern software engineering, data validation is often treated as an implementation detail. It’s something we do at the edges of a system: sanitize user inputs, check constraints, and move on. However, when designing robust systems grounded in solid object-oriented principles, validation deserves deeper consideration. A particularly important lens for this discussion is the Liskov Substitution Principle (LSP), one of the five SOLID principles. The Liskov Substitution Principle states: Objects of a superclass should be replaceable with objects of a ... How Data Validation Relates To The Liskov Substitution Principle — How To Model Validated Data As A Separate Type

Here is short info about post: The Minecraft Protocol (MCP) JSON logging over stdio (standard input/output) is a powerful technique for monitoring, debugging, or processing Minecraft-related communications between client and server. Whether you’re building bots, debugging modded servers, or integrating Minecraft with external tools, intercepting the JSON message stream via stdin and stdout allows fine-grained control and complete transparency. In this article, we’ll walk through: The basics of MCP JSON protocol and why to log it Setting up a command-line wrapper to intercept and log MCP ... How to log the MCP JSON protocol over stdio

Here is short info about post: Healthcare organizations face the dual challenge of innovating quickly in the cloud while maintaining strict compliance with regulations such as HIPAA, HITECH, and GDPR. Microsoft Azure offers a robust set of native services that enable security, compliance, and governance without adding excessive complexity. This article walks through building a secure and compliant cloud on Azure for healthcare clients using Role-Based Access Control (RBAC), Customer-Managed Keys (CMK) encryption, and Azure Policy enforcement, complete with practical coding examples. Understanding the Compliance Landscape ... How to Build a Secure, Compliant Cloud on Azure for Healthcare Clients Using Native Services Like RBAC, CMK Encryption, and Policy Enforcement

Here is short info about post: Amazon EMR (Elastic MapReduce) is a managed big-data platform that simplifies running frameworks like Apache Hadoop and Spark at scale. Choosing the right storage approach—EMRFS vs HDFS—is central to optimizing performance, cost, and flexibility. Here’s how each file system helps—and when a hybrid approach shines. What Is HDFS on Amazon EMR? Hadoop Distributed File System (HDFS) is a distributed, scalable, and fault-tolerant file system that stores data across cluster nodes. It ensures redundancy through replication, low latency by virtue of ... How EMRFS and HDFS Can Optimize Big Data Processing on Amazon EMR

Here is short info about post: In today’s fast-paced cloud-native environment, developers and operations teams face a fundamental decision: whether to run workloads on virtualized containers or on bare metal servers. Each approach comes with its own trade-offs in performance, scalability, flexibility, and cost. This article explores these differences in depth, complete with code snippets to illustrate how they are typically implemented. Understanding Bare Metal Bare metal refers to running an operating system or application directly on a physical machine without any intermediate layer of virtualization. ... Virtualized Containers vs. Bare Metal: A Deep Dive with Examples

Here is short info about post: The rise of cloud computing has dramatically changed how businesses design and deploy applications. Among the many cloud-native paradigms, serverless computing and dedicated cloud servers represent two distinct approaches to database management. Each offers unique benefits, trade-offs, and cost considerations. This article provides an in-depth comparison of serverless databases and dedicated database servers in the cloud, illustrated with coding examples and ending with a comprehensive conclusion. What Is a Serverless Database? A serverless database automatically manages infrastructure provisioning, scaling, and ... Comparison Of Serverless Databases And Dedicated Database Servers In The Cloud