Here is short info about post: Retrieval-Augmented Generation (RAG) has emerged as one of the most practical and powerful architectures for enabling large language models (LLMs) to use custom domain knowledge. Traditional LLMs are trained on general-purpose corpora and cannot access your private data unless you provide it at inference time. RAG solves this problem by allowing the model to “look up” relevant documents from an external knowledge base and use them as context for generating accurate responses. But while many cloud-based tools support RAG, there ... How To Build a Private and Offline RAG System With Ollama and FAISS

Here is short info about post: Amazon DocumentDB has long been a powerful, scalable, and fully managed document database service for teams building applications compatible with MongoDB workloads. But as more organizations adopt Kubernetes as their core platform, the need to deploy, manage, and scale DocumentDB-like environments directly inside Kubernetes has grown. The new open-source DocumentDB Operator now makes this possible. It introduces a Kubernetes-native way to run DocumentDB-compatible workloads by leveraging Custom Resource Definitions (CRDs), declarative configuration, and the reconciliation patterns common in modern Operators. ... How To Deploy, Manage, And Scale DocumentDB On Kubernetes With The New Open-Source DocumentDB Operator

Here is short info about post: Working with PostgreSQL’s advanced JSON and JSONB column types has become increasingly common in modern software development. These flexible data structures enable applications to implement semi-structured or schema-light storage patterns without fully committing to a NoSQL database. Meanwhile, Java applications often need a clean, type-safe, and low-boilerplate way to map these JSON fields to domain objects. This is where asentinel-orm comes in. asentinel-orm is a lightweight Object-Relational Mapping (ORM) tool designed to simplify the interaction between Java objects and relational ... How to Map PostgreSQL JSON Data Types in Java

Here is short info about post: The Java Stream API, introduced in Java 8, revolutionized how developers manipulate collections and sequences of data. By providing a fluent and declarative style, Streams make it easier to process data in a functional style — filtering, mapping, reducing, and transforming data into desired outputs. However, while Streams come with a rich set of built-in intermediate operations (like map(), filter(), and flatMap()), they also allow for deeper customization through Collectors. Although Collectors are primarily associated with terminal operations — such ... How Java Stream Collectors Allow Developers to Define Custom Intermediate Operations

Here is short info about post: In today’s fast-moving software industry, measuring developer productivity has become a key challenge for engineering managers, CTOs, and team leads. With complex codebases, distributed teams, and constantly evolving technologies, the traditional metrics that once worked for evaluating developer performance often fail to capture the full picture today. This article explores the old and new practices for measuring developer productivity — what they get right, what they miss, and how modern teams can achieve a better balance between quantitative and qualitative ... How To Measure Developer Productivity: Old And New Practices

Here is short info about post: Kubernetes has become the backbone of cloud-native infrastructure. It orchestrates containers at scale, automates deployments, and ensures high availability. However, when failures occur—due to misconfigurations, resource exhaustion, or security policy violations—troubleshooting can be complex and time-consuming. To tackle this challenge, AI-driven automation can be introduced into the Kubernetes control loop. This article walks you through how to build an AI-driven Kubernetes Operator that automatically: Detects failures in the cluster Uses a Large Language Model (LLM) to generate remediation steps Validates ... How To Create An AI-Driven Kubernetes Operator That Analyzes Failures, Generates Fixes Using LLMs, Validates Them Using OPA, And Securely Deploys Changes Via GitOps

Here is short info about post: In the world of distributed computing, event-driven architectures (EDA) have become a cornerstone for building scalable, decoupled, and resilient systems—especially in IoT and microservices-based ecosystems. IoT devices constantly emit events (sensor readings, device states, telemetry data), and microservices often respond to those events asynchronously. However, simply passing events around is not enough. To ensure performance, scalability, and cost efficiency, we must optimize both the event-driven design and the machine learning models that process or react to these events. This article ... How To Build Event-Driven Systems For IoT And Microservices With Model Optimization

Here is short info about post: Maps are commonly associated with heavy third-party services, tracking pixels, and big JavaScript libraries. But you can build fast, fully private, and highly customizable maps using plain SVG and a little JavaScript. SVG gives you crisp vector rendering at any zoom level, excellent styling control via CSS variables, and the ability to keep every request local (which is great for privacy). This article walks through the architecture, practical techniques, code examples, and performance tips so you can produce production-ready SVG ... How to Create Fast, Private and Custom Maps with SVG

Here is short info about post: Building efficient, maintainable, and high-performing Salesforce applications is more critical than ever. As business logic becomes increasingly complex and user expectations for responsiveness rise, developers must adopt practices that maximize scalability, sustainability, and performance.Lightning Web Components (LWC) provides a robust framework that allows developers to achieve exactly that — but only when used strategically. In this article, we’ll explore how to master reusable LWC patterns, implement smart event handling, and leverage caching techniques to build faster, sustainable, and scalable Salesforce ... How To Master Reusable LWC Patterns, Smart Event Handling, And Caching To Build Faster, Sustainable, And Scalable Salesforce Apps

Here is short info about post: In the world of Enterprise SaaS, uptime is everything. Businesses expect continuous service availability—even when you deploy major feature updates, fix bugs, or roll out infrastructure changes. Yet achieving non-disruptive upgrades in large-scale cloud environments requires more than just careful timing; it demands a resilient architecture, automated CI/CD pipelines, and multi-region deployment strategies designed for fault tolerance and zero downtime. This article explores how to achieve seamless upgrades using modern software practices, supported by code examples and infrastructure patterns applicable ... How To Achieve Non-Disruptive Upgrades In Enterprise SaaS Through Resilient Architecture, CI/CD Automation, And Multi-Region Deployment

Here is short info about post: As organizations increasingly deploy IoT devices, smart sensors, and microservices closer to data sources, distributed edge environments have become central to modern computing. Yet, while these edge systems deliver lower latency and higher efficiency, they also introduce a new set of challenges in monitoring, data collection, and security. This article explores how to build secure monitoring solutions for distributed edge environments using open-source telemetry tools, such as Prometheus, Grafana, and OpenTelemetry, along with coding examples that illustrate real-world implementation patterns. ... How To Build Secure Monitoring Solutions For Distributed Edge Environments Using Open Source Telemetry

Here is short info about post: Microservices have become a dominant architectural pattern in modern software engineering, allowing organizations to build scalable, modular, and independently deployable services. However, with this modularization comes complexity—services must communicate with each other efficiently, reliably, and without becoming tightly coupled. This is where asynchronous communication and message brokers such as AWS SQS/SNS and Google Pub/Sub play a crucial role. They act as intermediaries that help services exchange information without direct dependencies. In this article, we’ll explore how asynchronous communication decouples microservices, ... How Asynchronous Communication Decouples Microservices Through Message Brokers Like AWS SQS/SNS and Google Pub/Sub