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

Here is short info about post: In today’s data-driven world, customer feedback is a goldmine for understanding satisfaction, pain points, and evolving needs. However, processing and classifying thousands (or millions) of open-ended responses is no trivial task. This is where Snowflake Cortex, the AI and ML engine in Snowflake, steps in — allowing us to extract actionable insights from unstructured text using simple SQL. In this article, you’ll learn how to: Use Cortex functions to analyze sentiment in customer feedback. Categorize comments by themes using zero-shot ... How To Use Snowflake Cortex To Classify Customer Sentiment And Categorize Feedback By Theme And Automate It Using SQL

Here is short info about post: Artificial Intelligence (AI) has moved from a buzzword to a strategic capability across every industry—from healthcare and fintech to logistics and e-commerce. However, one recurring pitfall companies face is trying to address infrastructure-related inefficiencies at the application layer. This article delves into why investing in a proven AI infrastructure delivers significant competitive advantages and how failing to do so can lead to technical debt, poor scalability, and bottlenecks in innovation. We will explore real-world scenarios, provide architectural guidance, and include ... How Investing in Proven AI Infrastructure Delivers a Competitive Advantage Instead of Solving Infrastructure Problems at the Application Level

Here is short info about post: Memory leaks in Java applications are notoriously hard to detect and can quietly degrade performance over time. One often-overlooked source of memory leaks is the incorrect use of ThreadLocal variables. While ThreadLocal is a powerful feature for maintaining thread-confined data, its misuse can lead to lingering objects in memory, especially in multi-threaded environments like application servers. In this article, we’ll explore the anatomy of this issue, understand the root cause of leaks, and demonstrate with real-world examples how to prevent ... Memory Leak Due to Uncleared ThreadLocal Variables In Java

Here is short info about post: MongoDB is a popular NoSQL database known for its flexibility and scalability. However, developers working with MongoDB in Java applications often encounter connection timeout errors, especially in production environments. These timeouts can result in application instability, data loss, or degraded performance. This article provides a systematic approach to diagnosing connection timeout issues when using MongoDB with Java. It explores how to analyze logs, monitor performance, and fine-tune MongoDB client settings to prevent timeouts. We’ll also walk through practical Java code ... How To Identify The Causes Of Connection Timeout Errors For MongoDB With Java And How To Solve Them By Analyzing The Logs And Adjusting The Connection Settings

Here is short info about post: In today’s cloud-native landscape, serverless architectures have revolutionized how applications are developed and deployed. Function as a Service (FaaS) platforms such as AWS Lambda, Azure Functions, and Google Cloud Functions provide automatic scaling, reduced operational overhead, and pay-per-use pricing models. However, with the abstraction of infrastructure comes a new challenge: implementing robust Identity and Access Management (IAM). This article explores how to implement IAM in serverless environments using managed identity services (like AWS IAM Roles, Azure Managed Identities, and Google ... Implementing IAM in Serverless Architectures: Combining Managed Identity Services with Fine-Grained Authorization for Secure FaaS Across Major Cloud Providers

Here is short info about post: PostgreSQL, one of the most advanced open-source relational database systems, offers powerful mechanisms to manage large volumes of data efficiently. Two essential aspects of its performance are how it handles large data using TOAST (The Oversized-Attribute Storage Technique) and how it accelerates queries using indexes, including B-Tree, GIN, and BRIN. This article explores how PostgreSQL deals with massive datasets, optimizes storage, and achieves high-speed data access using these techniques. Understanding TOAST: The Oversized-Attribute Storage Technique TOAST is PostgreSQL’s internal mechanism ... Learn How PostgreSQL Processes Large Data Using TOAST And Improves Query Speed With Indexes Like B-Tree, GIN, And BRIN