Here is short info about post: The increasing adoption of machine learning (ML) in production requires scalable, reliable, and automated deployment strategies. Enterprises need a way to serve models at scale, track experiments, and automate model selection. Kubernetes provides the infrastructure foundation, but the combination of MLflow, KServe, and AutoML elevates this to a fully managed, production-grade AI/ML inference platform. This article explains how to set up scalable and reliable inference on Kubernetes using MLflow for experiment tracking and model registry, KServe for model serving, and ... How To Run Scalable And Reliable AI/ML Inference On Kubernetes With MLflow, KServe, And AutoML

Here is short info about post: In the world of distributed systems, the client-server model forms the foundation of communication between applications. Whether you are building a web application, a mobile app, or a microservice, you are likely interacting with a server that exposes resources over the network. REST (Representational State Transfer) is one of the most popular architectural styles for designing such networked applications. In a synchronous communication scenario, a client sends a request to a server and waits for the server’s response before proceeding. ... Client-Server Synchronous Communication via REST

Here is short info about post: Building a real-time chat application is an excellent way to explore modern reactive programming techniques in Java. By leveraging Spring Boot, WebFlux, and MongoDB, we can create a fully reactive WebSocket-based chat service that handles high concurrency and provides seamless, real-time communication. This article walks you through the architecture, setup, and implementation details of a Reactive Spring Boot WebSocket Chat backed by MongoDB. We will focus on scalability and responsiveness using Project Reactor’s reactive streams. Understanding the Technology Stack Before ... How To Build A Reactive Spring Boot WebSocket Chat With WebFlux And MongoDB

Here is short info about post: Managing cloud infrastructure in a repeatable, secure, and scalable manner has always been a challenging task. With the rising complexity of modern applications and the need to empower development teams with self-service capabilities, platform engineering is emerging as a critical discipline. One of the best approaches to creating a self-service platform for Kubernetes environments is to build a platform abstraction on top of Amazon Elastic Kubernetes Service (EKS) using Crossplane—without writing raw infrastructure code such as Terraform or CloudFormation templates. ... How To Build A Platform Abstraction For EKS Cluster Using Crossplane Without Writing Infrastructure Code

Here is short info about post: What is RAG, Knowledge Graphs, and Graph RAG To understand Graph RAG, we need to define its constituent parts: Retrieval-Augmented Generation (RAG):RAG refers to a family of techniques where, instead of relying solely on what the Language Model “knows” (during training), you retrieve relevant information from external sources, and augment the prompt / input to the LLM with that information. This helps with freshness, domain-specificity, reducing hallucinations, and grounding. Knowledge Graph (KG):A knowledge graph is a structured representation of information ... How Graph RAG Combines Knowledge Graphs With LLMs To Structure Text Into Entities And Relationships, Enabling Explainable Reasoning And More Accurate Insights

Here is short info about post: MQTT is widely used in IoT and messaging systems because of its lightweight protocol and features such as persistent sessions (so that clients can disconnect and later receive messages published during their offline period), QoS (Quality of Service), etc. When you have many devices or clients, persisting session state (subscriptions, unacknowledged messages, last message, etc.) can become a performance bottleneck. TBMQ is an MQTT broker designed by ThingsBoard that in version 1.x used PostgreSQL to store persistent session data for ... How To Use Redis To Scale MQTT Session Persistence In TBMQ By Replacing PostgreSQL And Improving Performance With Lua Scripts And The Lettuce Async Client

Here is short info about post: Running Kubernetes on Amazon Web Services (AWS) gives organizations the flexibility to scale containerized applications quickly while leveraging AWS’s powerful infrastructure. AWS offers several approaches to deploy and manage Kubernetes clusters, ranging from fully managed services to self-managed clusters. Below is a deep dive into these deployment options, complete with practical coding examples and guidance to help you choose the right path. Why Kubernetes on AWS? Kubernetes (K8s) has become the de facto standard for container orchestration due to its ... Kubernetes Deployment Options on AWS

Here is short info about post: In today’s data-driven world, organizations rely on real-time analytics to make faster and more accurate business decisions. Batch processing has its place, but for monitoring live systems such as financial transactions, IoT sensor readings, or website activity, batch updates are not sufficient. Apache Kafka has emerged as the backbone of real-time data pipelines, offering scalability, durability, and high throughput. Coupled with live dashboards, Kafka enables decision-makers to visualize streaming data instantly and take proactive measures. This article explores the end-to-end ... Real-Time Data Streaming From Apache Kafka to Live Dashboards

Here is short info about post: Apache Kafka has become the backbone of modern event-driven architectures, enabling real-time streaming of data across distributed systems. While Kafka offers a wide variety of pre-built connectors through Kafka Connect, organizations often face the need to integrate with custom or niche systems that do not yet have an available connector. One common scenario is the need to consume data from HTTP endpoints, whether from REST APIs, streaming APIs, or custom web services. While there are community connectors for HTTP, building ... How To Implement A Custom Kafka Connect HTTP Source Connector To Integrate With HTTP Endpoints

Here is short info about post: When building secure modern applications, developers need to rely on proven identity and access management (IAM) solutions rather than reinventing the wheel. Keycloak, an open-source identity and access management server backed by Red Hat, is one of the most popular solutions for implementing single sign-on (SSO), social login, and federated identity management. Spring Security, on the other hand, is the de facto security framework in the Spring ecosystem, offering comprehensive support for authentication and authorization. By integrating Keycloak with Spring ... How To Integrate Spring Security With Keycloak Using OpenID Connect

Here is short info about post: Searching for strings across databases is one of the most common yet challenging tasks in software development. Whether you are working with SQL-based systems (like MySQL, PostgreSQL, or SQL Server) or NoSQL solutions (like MongoDB or Elasticsearch), efficient string searching is critical for performance, accuracy, and user experience. In real-world applications, users rarely type exact strings—they may include typos, use different cases, or only remember part of a word. Making string search easier means balancing flexibility, speed, and accuracy. In ... How To Make String Search Easier Across Databases

Here is short info about post: The rise of large language models (LLMs) has opened doors to new possibilities in AI-driven applications. Retrieval-Augmented Generation (RAG) has become a popular technique for grounding LLM outputs in reliable, domain-specific data. Traditionally, developers rely on cloud-hosted LLMs and vector databases to implement RAG. However, recent advancements make it possible to run LLMs locally with Ollama while leveraging Azure Cosmos DB as the knowledge store. This approach provides performance benefits, lower costs, and greater control over sensitive data. This article ... How To Run Local LLMs With Ollama And Azure Cosmos DB For RAG