Here is short info about post: As cloud adoption accelerates, security remains one of the top concerns for organizations leveraging services like AWS, Azure, and Google Cloud Platform (GCP). With distributed environments, shared responsibility models, and sophisticated attack vectors, cloud security requires more than just traditional perimeter defenses. Developers, DevOps teams, and cloud architects must implement security best practices at every layer—from networking and IAM to encryption and application-level protections. This article provides an in-depth look into cloud security strategies, best practices, and code-level implementations to ... Strengthening Cloud Security: Best Practices and Coding Examples for Modern Applications

Here is short info about post: Modern fintech systems require a balance between speed, security, and compliance. As developers work under tight deadlines, tools like GitHub Copilot can significantly accelerate development by generating intelligent code suggestions. But when dealing with financial transaction APIs, it’s critical that speed does not come at the expense of security or reliability. This article walks through the process of building secure transaction APIs tailored for fintech systems using GitHub Copilot, emphasizing code quality, OWASP recommendations, and regulatory compliance (e.g., PCI DSS, ... How To Build Secure Transaction APIs For Modern Fintech Systems Using GitHub Copilot

Here is short info about post: Infrastructure as Code (IaC) has transformed how organizations provision, manage, and scale infrastructure. By codifying infrastructure into version-controlled files, IaC promises consistency, repeatability, and speed. But IaC strategies are not fail-proof. In many real-world projects, IaC initiatives stall, collapse under complexity, or fail to deliver their intended business value. This article explores why IaC strategies can fail, supported by examples and code snippets, and more importantly, how to identify and fix these failures to ensure your infrastructure is resilient, secure, ... Why Infrastructure-As-Code Strategies Can Fail And How To Fix Them

Here is short info about post: As machine learning (ML) systems are increasingly deployed in critical areas such as healthcare, finance, hiring, and law enforcement, fairness auditing becomes essential. Unchecked bias in ML models can lead to discriminatory outcomes, disproportionately affecting marginalized groups. In this article, we’ll explore how to audit machine learning models for fairness—especially at scale—by combining statistical techniques, automation, and toolkits such as Fairlearn, Aequitas, and IBM’s AI Fairness 360. We will provide hands-on code examples to illustrate concepts and offer strategies for ... How To Audit Machine Learning Models For Fairness At Scale

Here is short info about post: As integration solutions grow increasingly complex and microservice-driven, the need for high-performance, low-latency, and distributed caching becomes paramount. IBM App Connect Enterprise (ACE) provides an Embedded Global Cache (EGC) feature powered by WebSphere eXtreme Scale (WXS) to enable fast, in-memory data storage across integration nodes. While configuring EGC in traditional deployments is straightforward, enabling it within containerized environments—such as Docker or Kubernetes—requires deliberate setup and careful orchestration. This article walks through the detailed steps of configuring Embedded Global Cache for ... How To Configure Embedded Global Cache For App Connect Enterprise Running In Containers

Here is short info about post: Smart calendar assistants have become essential tools for organizing personal and professional tasks. But while most of them rely on touch or text input, adding voice commands can make the experience more intuitive, hands-free, and user-friendly. In this article, we’ll walk through how to build a voice-controlled calendar assistant that captures voice input, interprets it using Natural Language Processing (NLP), and automatically converts it into calendar events. We’ll use the Web Speech API for speech recognition and combine it with ... How To Add Voice Commands To Your Smart Calendar Assistant: Converting Speech To Events Using The Web Speech API And NLP Pipeline

Here is short info about post: In modern software development, context is everything—especially when working with AI-driven coding assistants like Amazon Q CLI, which leverages generative AI to assist developers from the command line. To improve the quality, accuracy, and relevance of AI interactions, Model Context Protocol (MCP) servers act as a powerful middleware layer, enriching requests with historical, application-specific, and user-defined context. In this article, we’ll explore how MCP servers function, why they’re essential for improving Amazon Q CLI performance, and how to implement one ... How MCP Servers Can Help Provide Better Context with Amazon Q CLI

Here is short info about post: Modern observability demands not only the collection of metrics and logs but also proactive alerting mechanisms. When working with Grafana Loki for log aggregation in Kubernetes, combining it with PrometheusRule alerting provides real-time notifications based on log patterns. With Grafana Alloy (previously known as Agent), we gain a unified agent that enables scraping, alerting, and forwarding logs. In this article, we’ll explore how to configure PrometheusRule alerts based on Loki logs in Kubernetes using Grafana Alloy and Helm. Overview Of ... How To Enable PrometheusRule Alerts For Loki Logs In Kubernetes With Grafana Alloy And Helm

Here is short info about post: Artificial Intelligence (AI) and Machine Learning (ML) thrive on large volumes of high-quality data. However, most organizations face three major challenges when scaling AI: fragmented data infrastructure, poor governance, and spiraling costs. As AI adoption grows, building a unified, AI-ready data infrastructure that ensures seamless access, robust governance, and cost efficiency becomes not just a best practice—but a business imperative. This article walks you through the key architectural components, governance strategies, and tools you can use to build an AI-ready ... How To Build Unified, AI-Ready Infrastructure With Seamless Data Access, Strong Governance, And Cost Efficiency

Here is short info about post: As software developers increasingly rely on AI-assisted tools and cloud-based development platforms, attackers are rapidly adapting. Today’s threat landscape includes AI-powered phishing schemes specifically crafted to infiltrate developer environments, exfiltrate code, steal credentials, and even poison CI/CD pipelines. These new threats are intelligent, evasive, and targeted—and if you’re not vigilant, your development workflows may become the next entry point into a major supply chain attack. In this article, we’ll explore how AI-powered phishing can compromise software development workflows, examine real-world ... How AI-Powered Phishing Can Hijack Your Development Workflows—And How to Avoid It

Here is short info about post: Securing a single REST API is a good start—but in real-world enterprise environments, you’re likely dealing with multiple microservices, user roles, and external clients. The ideal way to manage all this is with an Identity Provider like Keycloak and an API Gateway such as Spring Cloud Gateway or Kong Gateway. In this article, we’ll go a step further and: Set up Keycloak for identity and access management Secure Spring Boot microservices using Keycloak + OAuth2 Use API Gateway to enforce ... Full Security Architecture: Spring Boot, Keycloak, and API Gateway Integration for Secure Microservices

Here is short info about post: Artificial Intelligence (AI) agents are revolutionizing the way we build software by introducing autonomy, goal-driven reasoning, and adaptable decision-making. Microsoft’s Model Context Protocol (MCP) is a new standard that simplifies how models interact with tools, APIs, memory, and user inputs. In this article, we’ll explore how to build AI agents using the MCP Server in C#, and how to run everything inside Visual Studio Code (VS Code), one of the most powerful, lightweight IDEs available. This guide will walk you ... How To Build AI Agents With MCP Server In C# And Run In VS Code