Here is short info about post: Progressive delivery has become an essential deployment strategy for modern Kubernetes environments. It enables engineering teams to incrementally release new application versions, monitor their performance, and roll back quickly if something goes wrong. This approach reduces risk, enhances control, and supports continuous delivery pipelines. In this article, we’ll explore how Argo Rollouts, a Kubernetes controller for progressive delivery, can be effectively combined with Datadog, a leading observability platform, to enhance deployment safety and visibility. We’ll cover core concepts, integration steps, ... How Progressive Delivery In Kubernetes Environments Can Be Enhanced Using Argo Rollouts In Combination With Datadog Metrics

Here is short info about post: Automating ETL (Extract, Transform, Load) processes for settlement files—such as bank statements, payment reconciliations, and transaction logs—is crucial for timely and error-free financial operations. Traditional manual data processing is time-consuming, error-prone, and lacks scalability. AWS offers a powerful combination of services like Amazon S3, AWS Glue, AWS Lambda, and AWS Step Functions to build scalable, serverless data pipelines that automate these ETL workflows end-to-end. This article delves into how you can use these AWS services to automate the processing of ... How AWS Data Pipelines Automate ETL for Settlement Files Using S3, Glue, Lambda, and Step Functions

Here is short info about post: In an era where digital transformation is reshaping industries, AI Twins are emerging as powerful tools for personal productivity, automation, and simulation. An AI Twin—or digital twin powered by artificial intelligence—is a virtual replica of a human or a system that can autonomously make decisions, learn behaviors, and interact with the environment in meaningful ways. This article provides a practical and conceptual roadmap to build your own AI Twin, complete with implementation details using Python, vector databases, and open-source language ... Building an AI Twin: A Comprehensive Guide with Coding Examples

Here is short info about post: Salesforce is one of the world’s most popular Customer Relationship Management (CRM) platforms, powering everything from sales and service to marketing and community experiences. However, its true power is often unlocked through API integration, enabling organizations to create seamless workflows, synchronize data, and automate tasks across disparate systems. This article explores key use cases, best APIs (REST, SOAP, Bulk), and implementation tips, with code examples to guide developers and architects through successful integration strategies. Why Salesforce API Integration Matters Modern ... Salesforce API Integration: Use Cases, API Types, and Implementation Tips with Code Examples

Here is short info about post: Artificial Intelligence (AI) is transforming how systems adapt, learn, and respond to changing business conditions. However, to deploy AI effectively at scale, especially in real-time or near-real-time systems, traditional monolithic architectures often fall short. Instead, event-driven systems provide the reactive backbone that can handle distributed, scalable workflows. Combining this with the Model Context Protocol (MCP) enables AI models to manage conversational or task-specific memory across decentralized events — delivering contextually aware and intelligent automation at scale. In this article, we’ll ... How To Build Scalable And Reliable AI-Driven Workflows Using Event-Driven Systems, Combined With The Model Context Protocol

Here is short info about post: Machine learning (ML) models and IoT (Internet of Things) devices are a natural match. IoT devices collect a tremendous amount of data from the physical world, while ML models can analyze this data to derive actionable insights. However, deploying ML models on IoT devices in environments where cloud infrastructure is restricted or not desired introduces a unique set of challenges. In this article, we explore how to deploy ML models directly to IoT devices using DevOps principles without managing traditional ... Deploying Machine Learning Models on IoT Devices Using DevOps Practices Without Managing Cloud Infrastructure

Here is short info about post: In modern CI/CD pipelines, Jenkins remains a cornerstone for automation. While its master-agent architecture makes it highly scalable, setting up Jenkins agents can be tedious—especially in dynamic or containerized environments. Docker Compose provides a lightweight and declarative way to configure and launch multiple containers, making it an excellent tool for defining Jenkins master and agents. In this article, we’ll walk through how to add a Jenkins agent using Docker Compose, with detailed steps, configurations, and example YAML and Dockerfiles to ... How To Add A Jenkins Agent Using Docker Compose

Here is short info about post: Agile teams across industries rely on the Scrum Guide as a foundational document for effective software development and team collaboration. In response to evolving workplace dynamics, toolchains, and cultural shifts, many organizations and agile coaches have begun developing what are colloquially referred to as “Scrum Guide Expansion Packs” — additions, extensions, or unofficial “clarifications” to Scrum that aim to address perceived gaps in the original guide. While well-intentioned, these expansion packs often amplify the very dysfunctions they claim to mitigate. ... How The Scrum Guide Expansion Pack Can Actually Amplify The Very Problems It Tries To Solve

Here is short info about post: Developers often find themselves juggling more than one GitHub account — one for work and another for personal projects. While this is a great practice to maintain separation of concerns, it can lead to authentication issues and workflow hiccups if not properly configured. In this article, we will walk through how to configure and manage multiple GitHub accounts on the same machine, allowing you to switch between them seamlessly. Why You Might Need Multiple GitHub Accounts There are several use ... How To Configure And Manage Multiple GitHub Accounts On The Same System

Here is short info about post: Agile teams often rely on Scrum Masters to facilitate ceremonies like backlog grooming, standups, sprint reviews, and retrospectives. But what happens when the Scrum Master is unavailable? Teams can lose momentum, alignment, and valuable time. Artificial Intelligence (AI) can bridge this gap—streamlining rituals, generating insights, and increasing team productivity. This article explains how to use AI to enhance your Agile workflows without waiting for the Scrum Master. We’ll also provide practical coding examples using Python, OpenAI GPT, and popular developer ... How To Use AI To Improve Backlog Grooming, Retros, Standups, And Reviews, Without Waiting For The Scrum Master

Here is short info about post: The MSDB system database in Microsoft SQL Server plays a crucial role in storing data for various features such as SQL Server Agent jobs, backup and restore history, maintenance plans, Database Mail, Service Broker, and other internal operations. Over time, this database can grow significantly, leading to performance degradation, bloated backups, and even job failures. In this article, we’ll dive into how to monitor and manage the growth of the MSDB database effectively, offering SQL code snippets and best practices ... Monitoring and Managing the Growth of the MSDB System Database in SQL Server

Here is short info about post: Design patterns serve as reusable solutions to common software design problems. Among them, the Decorator Pattern stands out as a flexible way to add behavior to individual objects dynamically. Traditionally associated with Object-Oriented Programming (OOP), the pattern also finds elegant expression in Functional Programming (FP). In this article, we explore and compare both OOP and Functional approaches to the Decorator Pattern in Java. To make our journey more fun and engaging, we’ll be guided by our favorite characters from Kung ... Comparison Of The OOP And Functional Approaches To The Decorator Pattern In Java, Featuring Po And Master Shifu