Here is short info about post: Change Data Capture (CDC) is an essential technique enabling real-time data processing by capturing insert, update, and delete operations in a persistent, time-ordered stream. Apache Phoenix—a relational SQL layer on top of HBase—has recently introduced CDC as a streaming feature, offering near-real-time row-level change visibility. This article explores the architecture, implementation, coding patterns, and practical usage of Phoenix Stream CDC, complete with code samples and a full conclusion. What Is Change Data Capture (CDC)? Context and Fundamentals CDC refers to ... Change Data Capture for Apache Phoenix Stream: A Deep Dive

Here is short info about post: Containerization has transformed modern software development, enabling portability, scalability, and faster deployment cycles. However, as containers proliferate, they also become attractive targets for attackers. Misconfigured containers, leaked secrets, vulnerable images, and weak runtime monitoring can open the door to severe breaches. To mitigate risks, organizations must adopt a defense-in-depth approach that includes hardened images, secrets management, runtime monitoring, and automated security policies. This article will guide you through these practices with explanations, examples, and coding snippets to help secure your ... How To Secure Containers With Hardened Images, Secrets Management, Runtime Monitoring, And Automated Policies

Here is short info about post: APIs have become the backbone of modern applications, enabling seamless communication across microservices, mobile apps, and third-party integrations. But as APIs become more exposed, they face challenges such as overload, brute-force attacks, and accidental misuse by clients. To ensure stability, scalability, and security, it’s crucial to implement rate limiting and throttling mechanisms. In this article, we’ll walk through building a rate limiter and throttling layer in Spring Boot with Redis, covering both concepts in depth and providing working code examples. ... How To Build A Rate Limiter And Throttling Layer Using Spring Boot And Redis To Prevent API Overload, Brute-Force Attacks, And Accidental Misuse

Here is short info about post: Building a custom system configuration management (SCM) solution allows organizations to precisely control infrastructure and application environments without being constrained by off-the-shelf tools. A well-designed SCM solution typically includes: A Command-Line Interface (CLI) for administrators to interact quickly. An Application Programming Interface (API) for automation and integrations. A Command Execution Layer to perform system-level tasks securely. YAML Configuration Templates for human-friendly, structured configuration. Below, we’ll explore how to design and implement these components step-by-step, with code samples and practical considerations. ... How To Develop Custom System Configuration Management, With Emphasis On CLI And API Design, Command Execution, And YAML Configuration Templates

Here is short info about post: In machine learning, building an accurate predictive model is only half the battle — evaluating whether the model generalizes well to unseen data is equally critical. This is where data splitting comes into play. Data splitting involves dividing a dataset into separate subsets for training, validation, and testing to ensure that a model is evaluated fairly and avoids overfitting. Without proper data splitting, a model may appear highly accurate on the data it has seen but fail miserably when faced ... Data Splitting In Machine Learning

Here is short info about post: Apache Spark SQL is a powerful engine for large-scale data processing, allowing developers to query data using SQL syntax while leveraging Spark’s distributed computing capabilities. However, one major challenge that teams often face is the cost of running bad queries – whether caused by human error, poorly designed code, or malicious inputs. Even before Spark begins distributed execution, an inefficient or incorrect query can quickly snowball into resource bottlenecks, high compute costs, and system instability. To address this, implementing a ... A Gatekeeper Model for Spark SQL

Here is short info about post: Traditional keyword-based search is fast but limited: it only matches exact terms and often fails to understand context, synonyms, or intent. Imagine searching “How do I make spaghetti?” but missing documents titled “Pasta cooking guide” simply because the keyword “spaghetti” wasn’t present. With modern AI techniques — specifically vector embeddings — you can build a search bar that understands meaning, not just words. When combined with OpenAI’s embedding models, this approach lets you perform semantic search, retrieving results based on ... How To Build An AI-Powered Search Bar With Vector Embeddings And OpenAI

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