Here is short info about post: In today’s fast-paced digital world, organizations are striving to innovate faster and deliver smarter, more efficient applications. Combining AWS Serverless technologies with AI/ML services can help businesses build scalable, cost-effective, and secure applications without the overhead of managing infrastructure. This article walks you through how to architect and implement a serverless AI/ML-driven application using AWS tools like Lambda, API Gateway, Step Functions, and AI/ML services like Amazon SageMaker, Amazon Rekognition, and Amazon Comprehend. You’ll also see how to secure and ... How To Combine AWS Serverless With AI/ML To Build Scalable And Secure Applications

Here is short info about post: Observability in modern software systems is essential to ensure high performance, reliability, and faster troubleshooting. In this article, we explain how to set up OpenTelemetry with Spring Boot to collect comprehensive metrics, traces, and logs. We also discuss how to integrate these observability signals with Grafana, Loki, and Tempo—tools that provide powerful visualization and analysis capabilities. OpenTelemetry is an open-source framework that standardizes the collection of telemetry data. It supports multiple signals like metrics, traces, and logs, and enables you ... How To Set Up OpenTelemetry With Spring Boot For Observability

Here is short info about post: As applications scale across multiple environments and microservices, managing logs becomes a significant challenge. The ELK Stack (Elasticsearch, Logstash, and Kibana) offers a powerful solution for centralized logging, enabling real-time analysis, search, and visualization of logs. In this guide, we’ll walk through setting up a cost-effective, secure, and scalable ELK logging platform using Infrastructure as Code (IaC) principles, leveraging Terraform for provisioning infrastructure and Ansible for configuration management. Why ELK, IaC, Terraform, and Ansible? ELK Stack: A robust logging system ... How To Build a Cost-Effective, Secure, and Scalable ELK Logging Platform Using Infrastructure As Code (IaC) With Terraform And Ansible

Here is short info about post: Java is a robust and memory-managed programming language, but like any managed environment, it’s still susceptible to memory issues. One of the most dreaded runtime problems in a Java application is the java.lang.OutOfMemory error. This error is thrown when the Java Virtual Machine (JVM) cannot allocate an object because it is out of memory, and no more memory could be made available by the garbage collector. This article walks through the common causes of OutOfMemoryError, how to detect and diagnose ... How To Fix OutOfMemoryErrors in Java Applications

Here is short info about post: In the era of globally distributed applications, data consistency has become a fundamental concern. Distributed systems must balance between performance, availability, and consistency—what the CAP theorem teaches us. But “consistency” itself is a spectrum, and different models exist to suit different use cases. This article dives into the various consistency models in distributed databases, focusing on strong, eventual, causal, and other types, exploring their trade-offs, and illustrating with code examples. What Is Consistency in Distributed Systems? Consistency in distributed systems ... Database Consistency Models in Distributed Systems: Trade-offs Between Strong, Eventual, Causal, and More

Here is short info about post: Creating viral content is easier than ever thanks to the rise of AI technologies like OpenAI’s GPT and DALL-E. In this article, we’ll build a powerful AI meme generator using React, OpenAI’s APIs, Fabric.js for canvas editing, and various strategies to optimize both performance and cost. Whether you’re making this as a side project, a fun tool for users, or integrating into a bigger app, this guide will walk you through it all. Setting Up the Environment Before jumping into ... How To Build An AI Meme Generator Using OpenAI, React, Fabric.js, And DALL-E 3

Here is short info about post: Creating your own Tiny Language Model (TLM) can be both an exciting and educational project. While Ruby on Rails isn’t traditionally associated with machine learning, it’s perfectly possible to build a simple and functional TLM using Ruby-based tools and Rails for the web interface. In this tutorial, we’ll walk through setting up a small neural language model, training it on a sample dataset, and deploying it using Rails. What Is a Tiny Language Model? A Tiny Language Model (TLM) is ... How to Build a Tiny Language Model (TLM) in Ruby on Rails

Here is short info about post: APIs are the backbone of modern applications, facilitating seamless communication between services. However, if not properly secured, they can expose sensitive data and open doors to cyber threats. In this article, we will explore how to secure APIs using HashiCorp Vault, secret scanners, and best practices to keep your data safe. We will also provide coding examples to demonstrate their practical application. What is API Security? API security involves protecting APIs from threats such as unauthorized access, data breaches, and ... How To Secure Your APIs With Vault, Secret Scanner, And Best Practices To Keep Your Data Safe

Here is short info about post: Amazon Web Services (AWS) provides CloudTrail to log and monitor activities across AWS infrastructure. However, manually responding to security threats or misconfigurations detected by CloudTrail can be time-consuming. To streamline this process, event-driven automation with Ansible can be used to react instantly to CloudTrail events. This article explores how to set up automated responses using Ansible’s event-driven architecture, with coding examples and best practices. Understanding AWS CloudTrail and Event-Driven Automation What is AWS CloudTrail? AWS CloudTrail records AWS API calls ... How To Automate AWS CloudTrail Event Responses With Event-Driven Ansible

Here is short info about post: Artificial Intelligence (AI) has revolutionized software applications, making them more interactive, intelligent, and user-friendly. LangChain4j, a Java-based implementation of LangChain, allows seamless integration of AI into Spring Boot applications. In this article, we will walk you through the process of creating an AI assistant using LangChain4j in a Spring Boot application. Introduction to LangChain4j LangChain4j is an extension of LangChain, a powerful framework for building applications that leverage language models like OpenAI’s GPT. This Java-based library facilitates: Simplified AI model ... How To Create An AI Assistant With LangChain4j In A Spring Boot Application

Here is short info about post: Automated testing plays a crucial role in software development by ensuring code reliability, maintainability, and efficiency. Python, with its rich ecosystem of testing frameworks, provides a powerful toolkit for test automation. This article explores effective practices for Python test automation, including best tools, strategies, and coding examples. Choosing the Right Testing Framework Python offers several testing frameworks, each with unique capabilities. The most popular ones include: unittest: Built into Python, ideal for small to medium-sized projects. pytest: More flexible and ... Effective Practices for Python Test Automation

Here is short info about post: Network security is an essential aspect of any IT infrastructure. With the increasing number of cyber threats, organizations must regularly scan their networks for vulnerabilities. One effective way to do this is by building a network vulnerability scanner. In this article, we will explore how to build a network vulnerability scanner using Golang. Introduction to Network Vulnerability Scanning Network vulnerability scanning is the process of identifying security weaknesses in a network. This includes checking open ports, detecting outdated software versions, ... Building a Network Vulnerability Scanner with Golang