News Aggregator

Top Tools for Object Storage and Data Management

Aggregated on: 2025-01-27 19:31:08

Whether you are a seasoned cloud architect or a newbie getting to understand the nuances of the cloud, at some point, you will come across an interesting storage option called object storage to store or archive your unstructured data. In this article, you will be introduced to object storage and key tools like MinIO, Cyberduck, and more. Understanding Object Storage Object storage is a data storage architecture that manages information as discrete units called objects, rather than as files in folders or blocks on servers. Each object typically includes the data itself, a variable amount of metadata, and a globally unique identifier. This approach offers several advantages over traditional storage methods, particularly when dealing with large volumes of unstructured data.

Comparing SDLC With and Without AI/ML Integration

Aggregated on: 2025-01-27 18:46:08

The software conception, development, testing, deployment, and maintenance processes have fundamentally changed with the use of artificial intelligence (AI) and machine learning (ML) in the software development life cycle (SDLC). Businesses today want to automate their development processes in any way they can with the goals of increasing efficiency, positively impacting time to market, improving the quality of software, and being data-driven in their approaches. AI/ML is instrumental in achieving these goals as it helps in automating repetitive work processes, assists with predictive analytics and empowers intelligent systems that respond to changing needs. This article discusses the role of AI/ML at each stage of the SDLC, how they are able to add value to it, and the challenges organizations face or will face in order to exploit them to the maximum.

Database Release and End-to-End Testing

Aggregated on: 2025-01-27 17:31:08

In the world of software development, rigorous testing and controlled releases have been standard practice for decades. But what if we could apply these same principles to databases and data warehouses? Imagine being able to define a set of criteria with test cases for your data infrastructure, automatically applying them to every new "release" to ensure your customers always see accurate and consistent data. The Challenge: Why End-to-End Testing Isn't Common in Data Management While this idea seems intuitive, there's a reason why end-to-end testing isn't commonly practiced in data management: it requires a primitive clone or snapshot for databases or data warehouses, which most data systems don't provide.

CUI Document Identification and Classification

Aggregated on: 2025-01-27 16:16:08

Controlled Unclassified Information (CUI) requires careful identification and classification to ensure compliance with frameworks like CMMC and FedRAMP. For developers, building automated systems to classify CUI involves integrating machine learning, natural language processing (NLP), and metadata analysis into document-handling workflows. Key Challenges in CUI Document Classification 1. Ambiguity in Definitions CUI categories often overlap with non-sensitive data, making manual classification error-prone.

Biggest Software Bugs and Tech Fails

Aggregated on: 2025-01-27 15:16:08

While the objective of software testing is to look for bugs even before they reach the users' hands, it doesn't mean that the most stringent testing procedures will go so wrong. From embarrassing mistakes to catastrophically collapsing systems, these examples will drive home just how crucial proper testing procedures are. This blog will discuss some of the most shocking examples of software problems and technological problems resulting from test problems, and the lessons we can learn from them.

Integrating AI With Spring Boot: A Beginner’s Guide

Aggregated on: 2025-01-27 14:16:08

Do you need to integrate artificial intelligence into your Spring Boot application? Spring AI reduces complexity using abstractions you are used to apply within Spring Boot. Let’s dive into the basics in this blog post. Enjoy! Introduction Artificial intelligence is not a Python-only party anymore. LangChain4j basically opened the Java toolbox for integrating with AI. Spring AI is the Spring solution for AI integration. It tries to reduce the complexity of integrating AI within a Java application, just like LangChain4j is doing. The difference is that you can use the same abstractions as you are used to apply within Spring Boot.

Evaluating LLMs and RAG Systems

Aggregated on: 2025-01-27 13:46:08

Retrieval-augmented generation (RAG) systems have garnered significant attention for their ability to combine the strengths of information retrieval and large language models (LLMs) to generate contextually enriched responses. Through retrieved information, RAG systems address some limitations of standalone LLMs, such as hallucination and lack of domain specificity. However, the performance of such systems depends critically on two components: the relevance and accuracy of the retrieved information and the language model's ability to generate coherent, factually accurate, and contextually aligned responses. Building on the foundational concepts of RAG systems, this article outlines robust evaluation strategies for RAG pipelines and their individual components, including the LLM, the retriever, and their combined efficacy in downstream tasks. We also explore a framework for evaluating LLMs, focusing on critical aspects such as model complexity, training data quality, and ethical considerations.

The Evolution of User Authentication With Generative AI

Aggregated on: 2025-01-27 12:31:08

Remember when you had to squint at wonky text or click on traffic lights to prove you're human? Those classic CAPTCHAs are being rendered obsolete by the day. As artificial intelligence improves, these once-reliable gatekeepers let automated systems through. That poses a challenge — and an opportunity — for developers to think again about how they verify human users. What’s Wrong With Traditional CAPTCHAs? Traditional CAPTCHAs have additional problems besides becoming increasingly ineffective against AI. Modern users expect seamless experiences, and presenting them with puzzles creates serious friction in their flow. Even more so, these systems introduce real accessibility challenges for users with visual or cognitive disabilities [1].

CubeFS: High-Performance Storage for Cloud-Native Apps

Aggregated on: 2025-01-25 13:10:24

Through achieving graduation status from the Cloud Native Computing Foundation, CubeFS reaches an important breakthrough as a distributed file system created by community input. CubeFS's graduation status demonstrates its achieved technical sophistication while establishing its reliable history of managing production workloads on a large scale. CubeFS provides low-latency file lookups and high throughput storage with strong protection through separate handling of metadata and data storage while remaining suited for numerous types of computing workloads. The inherent compatibility between CubeFS's cloud-native design and Kubernetes achieves full automation of deployments together with rolling upgrades as well as scalable node adaptation to meet increasing data needs. CubeFS establishes itself as a trustworthy high-performance solution for container-based organizations wanting to upgrade their storage systems because of its dedicated open-source community support and adherence to the CNCF quality standards.

Crush Storage Bottlenecks With CNCF-Graduated CubeFS

Aggregated on: 2025-01-24 22:47:20

Through achieving graduation status from the Cloud Native Computing Foundation, CubeFS reached an important breakthrough as a distributed file system created by community input. CubeFS's graduation status demonstrates its technical sophistication while establishing a reliable history of managing production workloads on a large scale. CubeFS provides low-latency file lookups and high throughput storage with strong protection through separate handling of metadata and data storage while remaining suited for numerous types of computing workloads. The inherent compatibility between CubeFS's cloud-native design and Kubernetes achieves full automation of deployments together with rolling upgrades as well as scalable node adaptation to meet increasing data needs. It establishes itself as a trustworthy high-performance solution for container-based organizations wanting to upgrade their storage systems because of its dedicated open-source community support and adherence to the CNCF quality standards.

Balancing Security and UX With Iterative Experimentation

Aggregated on: 2025-01-24 20:17:20

As transitioning to the digital world is the norm today, businesses face the challenge of constantly maximizing performance while keeping a lookout for potential threats. However, whether it’s spotting fraud in banking and eCommerce, moderating content on social media and any other sites with user-generated content, or identifying anomalies, it is a balancing act between strong security and a smooth user experience. The iterative experimentation supported by A/B testing can serve as a valuable mechanism to fine-tune algorithms and the overall user experience across services in multiple sectors under the right conditions. Not only do these methods enhance people’s productivity — they develop trust and satisfaction from users as well.

Jenkins Pipelines With Centralized Error Codes and Fail-Fast

Aggregated on: 2025-01-24 19:17:20

Effective error management is paramount to the success of any continuous integration and continuous delivery (CI/CD) pipeline. Jenkins, being a widely adopted tool for automating software deployment workflows, introduces numerous complexities when managing errors across its stages. Centralized error codes, coupled with detailed error descriptions and a structured troubleshooting guide, significantly enhance the efficiency of identifying, resolving, and mitigating issues. This article explores the implementation of a centralized error code system and integrates a fail-fast strategy to enable rapid issue detection and resolution. The goal is to provide a robust framework for organizations to ensure streamlined Jenkins pipeline operations and mitigate delays caused by errors in critical pipeline stages.

Accelerating HCM Cloud Implementation With RPA

Aggregated on: 2025-01-24 18:32:20

Human Capital Management (HCM) cloud systems, such as Oracle HCM and Workday, are vital for managing core HR operations. However, migrating to these systems and conducting necessary testing can be complex. Robotic Process Automation (RPA) provides a practical solution to streamline these processes. Organizations can accelerate the implementation and operationalization of HCM cloud applications through data migration, managing multi-factor authentication (MFA), assigning roles post-deployment, and conducting User Acceptance Testing (UAT). This article offers practical guidance for finance and IT teams on leveraging RPA tools to enhance HCM cloud implementation. By sharing best practices and real-world examples, we aim to present a roadmap for effectively applying RPA across various HCM platforms to overcome common implementation challenges.

AI/ML Techniques for Real-Time Fraud Detection

Aggregated on: 2025-01-24 17:17:20

In today's technologically advanced society, fraud detection is a major concern. According to the Association of Certified Fraud Examiners (ACFE), fraud costs companies trillions of dollars worldwide, or nearly 5% of their yearly sales (ACFE Report to the Nations 2024). Businesses are increasingly using cutting-edge technology like artificial intelligence (AI) and machine learning (ML) as fraudsters become more skilled. Behavioral analytics is at the forefront of this movement and directly fights fraud. Problem Statement In today's modern era, fraud is growing beyond conventional methods because of utilizing the volume and velocity of online transactions.

How Event-Driven Ansible Works for Configuration Monitoring

Aggregated on: 2025-01-24 16:17:20

Configuration files control how applications, systems, and security policies work, making them crucial for keeping systems reliable and secure. If these files are changed accidentally or without permission, it can cause system failures, security risks, or compliance issues. Manually checking configuration files takes a lot of time, is prone to mistakes, and isn’t reliable, especially in complex IT systems. Event-driven Ansible offers a way to automatically monitor and manage configuration files. It reacts to changes as they happen, quickly detects them, takes automated actions, and works seamlessly with the tools and systems you already use.

Building Call Graphs for Code Exploration Using Tree-Sitter

Aggregated on: 2025-01-24 15:17:20

Code exploration for large legacy codebases is a heavy-lifting task. Manual exploration can become error-prone and time-consuming. Automated data collection and visualization can ease the process to some extent. To extract key insights like Code composition, LoC, etc., we may need to use various data collection tools. However, using those tools is challenging as most of them are commercial. The available FOSS tools either support only smaller code sizes or only support a limited set of technology stacks. One such tool is Doxygen, which generates documentation out of codebases and helps extract various metadata elements that can be processed and used for further exploration. However, the challenge with this tool is that it allows very little control over how it collects data and is very heavy to run on large code bases.

"Fix with AI" Button to Automate Playwright Test Fixes

Aggregated on: 2025-01-24 14:32:20

End-to-end tests are essential for ensuring the reliability of your application, but they can also be a source of frustration. Even small changes to the user interface can cause tests to fail, leading developers and QA teams to spend hours troubleshooting. In this blog post, I’ll show you how to utilize AI tools like ChatGPT or Copilot to automatically fix Playwright tests. You’ll learn how to create an AI prompt for any test that fails and attach it to your HTML report. This way, you can easily copy and paste the prompt into AI tools for quick suggestions on fixing the test. Join me to streamline your testing process and improve application reliability!

Multi-Tenancy and Its Improved Support in Hibernate 6.3.0

Aggregated on: 2025-01-24 13:17:20

Multi-tenancy has become an important feature for modern enterprise applications that need to serve multiple clients (tenants) from a single application instance. While an earlier version of Hibernate had support for multi-tenancy, its implementation required significant manual configuration and custom strategies to handle tenant isolation, which resulted in higher complexity and slower processes, especially for applications with a number of tenants. The latest version of Hibernate 6.3.0, which was released on December 15, 2024, addressed the above limitations with enhanced multi-tenancy support through better tools for tenant identification, schema resolution, and enhanced performance for handling tenant-specific operations. This article talks about how Hibernate 6.3.0 enhanced the traditional multi-tenancy implementation significantly.

Phased Migration Strategy for Zero Downtime in Systems

Aggregated on: 2025-01-23 23:32:20

In distributed systems, multiple services work together to complete a task, each managed by different teams and evolving independently. This often leads to the need for dependency migrations, such as database schema updates, external service upgrades, or changes in data sources. These migrations are a crucial part of the development lifecycle and require thorough planning and execution to prevent rollbacks, data inconsistencies, and operational disruptions. Examples of Software Migration Before exploring migration strategies, it's important to understand common scenarios that necessitate software migrations and require detailed planning:

NoSQL for Relational Minds

Aggregated on: 2025-01-23 22:17:20

When developers first think about managing data or choosing a database for their application, the first thing that often comes to their mind is — — that’s right, a table.

Secure Your Frontend: Practical Tips for Developers

Aggregated on: 2025-01-23 21:17:20

Let’s face it: frontend security often gets overlooked. With so much focus on UI/UX and performance, it’s easy to assume that back-end APIs and firewalls are taking care of all the heavy lifting. But the reality is that your beautiful React or Vue app could be a ticking time bomb if you’re not paying attention to security. Having spent years building front-end applications and learning (sometimes the hard way), I’ve picked up a few essential practices that every developer should follow to keep their apps secure. Here are some practical, battle-tested tips to secure your frontend and sleep better at night.

Refactoring Design Patterns in Python

Aggregated on: 2025-01-23 20:32:20

This table in Python contains a list of code smells and the design patterns that address them. Python class CodeSmells: Duplicated_Code = [ form_template_method, introduce_polymorphic_creation_with_factory_method, chain_constructors, replace_one__many_distinctions_with_composite, extract_composite, unify_interfaces_with_adapter, introduce_null_object, ] Long_Method = [ compose_method, move_accumulation_to_collecting_parameter, replace_conditional_dispatcher_with_command, move_accumulation_to_visitor, replace_conditional_logic_with_strategy, ] Conditional_Complexity = [ # Complicated conditonal logic replace_conditional_logic_with_strategy, move_emblishment_to_decorator, replace_state_altering_conditionals_with_state, introduce_null_object, ] Primitive_Obssession = [ replace_type_code_with_class, replace_state_altering_conditionals_with_state, replace_conditional_logic_with_strategy, replace_implict_tree_with_composite, replace_implicit_language_with_interpreter, move_emblishment_to_decorator, encapsulate_composite_with_builder, ] # Lack of "information hiding" [Parnas] Indecent_Exposure = [encapsulate_classes_with_factory] # The logic/responsibility is sprawled in multiple places # (classes, methods) Solution_Sprawl = [move_creation_knowledge_to_factory] # [Fowler and Beck] Interfaces of classes different, # but classes are similar Alternative_Classes_with_Different_Interfaces = unify_interfaces_with_adapter # [Fowler and Beck] A class the doesn't do enough to pay itself Lazy_Class = [inline_singleton] Large_Class = [ replace_conditional_dispatcher_with_command, replace_state_altering_conditionals_with_state, replace_implict_tree_with_composite, ] Switch_Statements = [ # Complicated switches replace_conditional_dispatcher_with_command, move_accumulation_to_visitor, ] # Code that do the same with different types or quantity of data # (similar to duplication) Combination_Explostion = [replace_implicit_language_with_interpreter] # The same problem being solved in many ways in the system # (similar to duplication) Oddball_Solutions = [unify_interfaces_with_adapter] The Journey After nearly a year of effort, I’ve finally completed my self-imposed goal of writing all the refactoring examples from the book Refactoring to Patterns by Joshua Kerievsky in Python. This book broadened my understanding of how to apply design patterns in production code.

Multi-Tenant Data Isolation and Row Level Security

Aggregated on: 2025-01-23 19:17:20

Over the past one and a half years, I was involved in designing and developing a multi-tenant treasury management system. In this article, I will share our approaches to the data isolation aspect of our multi-tenant solution and the learnings from it. Background and Problem Regarding Data Isolation Before going into the problem that I will focus on today, I must first give some background into our architecture for storage and data in our system. When it comes to data partitioning for SaaS systems, at the extreme far right end, we have the approach of using dedicated databases for each tenant (silo model), and on the other side of the spectrum is the shared database model (pool model).

What OpenAI's Reasoning Models Mean for GPT and AI

Aggregated on: 2025-01-23 18:17:20

OpenAI’s latest announcement about its reasoning models has really made me pause and think about where AI is headed. Over the years, I have seen GPT models evolve from something experimental to tools we now rely on daily for everything from content creation to customer support. But as impressive as GPT is, we have all noticed its shortcomings, especially when it’s tasked with solving complex problems or making logical connections. That’s why the idea of reasoning models feels like such a big step forward. It’s not just an upgrade; it’s a shift in what AI is capable of. So, what are reasoning models really about? And how will they change the AI landscape we have gotten so used to?

Building an AI-Powered Cold Email System With CrewAI

Aggregated on: 2025-01-23 17:32:20

Cold emailing remains one of the most effective ways to reach potential employers or clients, but crafting personalized, compelling messages at scale can be challenging. CrewAI is a framework for creating AI agent teams to automate and enhance cold email outreach. In this tutorial, we'll build a sophisticated cold email system using CrewAI that researches companies, generates personalized templates, and provides strategic insights.

Mocking and Its Importance in Integration and E2E Testing

Aggregated on: 2025-01-23 16:17:20

In the software development lifecycle (SDLC), testing is one of the important stages where we ensure that the application works as expected and meets end-user requirements. Among the various techniques that we use for testing, mocking plays a crucial role in testing different components of a system, especially when the external services that the application is dependent on are not yet ready or deployed. With that being said, let’s try to understand what mocking is and how it helps in integration testing and end-to-end (E2E) testing.

An Introduction to Bloom Filters

Aggregated on: 2025-01-23 15:17:20

The Bloom filter is a lesser-known data structure that is not widely used by developers. It is a space-efficient, highly probabilistic data structure that every developer should be familiar with. It can significantly speed up exact match queries, especially in cases where indexing has not been added to that field. The space efficiency of a Bloom filter provides the added advantage of allowing filters to be created for multiple fields. How It Works Reading from a database or storage is a costly operation. To optimize this, we use a Bloom filter to check the availability of a key-value pair and only perform a database read if the filter responds with a 'Yes.' Bloom filters are space-efficient and can be stored in memory. Additionally, the lookup test for a value can be performed in O(1) time. More on this later. Let’s explore this concept with an example:

Powering LLMs With Apache Camel and LangChain4j

Aggregated on: 2025-01-23 14:32:20

LLMs need to connect to the real world. LangChain4j tools, combined with Apache Camel, make this easy. Camel provides robust integration, connecting your LLM to any service or API. This lets your AI interact with databases, queues, and more, creating truly powerful applications. We'll explore this powerful combination and its potential. Setting Up the Development Environment Ollama: Provides a way to run large language models (LLMs) locally. You can run many models, such as LLama3, Mistral, CodeLlama, and many others on your machine, with full CPU and GPU support. Visual Studio Code: With Kaoto, Java, and Quarkus plugins installed. OpenJDK 21 Maven Quarkus 3.17 Quarkus Dev Services: A feature of Quarkus that simplifies the development and testing of applications the development and testing of applications that rely on external services such as databases, messaging systems, and other resources. You can download the complete code at the following GitHub repo.

Understanding HyperLogLog for Estimating Cardinality

Aggregated on: 2025-01-23 13:17:20

Cardinality is the number of distinct items in a dataset. Whether it's counting the number of unique users on a website or estimating the number of distinct search queries, estimating cardinality becomes challenging when dealing with massive datasets. That's where the HyperLogLog algorithm comes into the picture. In this article, we will explore the key concepts behind HyperLogLog and its applications. HyperLogLog HyperLogLog is a probabilistic algorithm designed to estimate the cardinality of a dataset with both high accuracy and low memory usage.

Fresh Data for AI With Spring AI Function Calls

Aggregated on: 2025-01-22 23:17:19

The LLM can work with the knowledge it has from its training data. To extend the knowledge retrieval-augmented generation (RAG) can be used that retrieves relevant information from a vector database and adds it to the prompt context. To provide really up-to-date information, function calls can be used to request the current information (flight arrival times, for example) from the responsible system. That enables the LLM to answer questions that require current information for an accurate response. The AIDocumentLibraryChat has been extended to show how to use the function call API of Spring AI to call the OpenLibrary API. The REST API provides book information for authors, titles, and subjects. The response can be a text answer or an LLM-generated JSON response. For the JSON response, the Structured Output feature of Spring AI is used to map the JSON in Java objects.

Context is King: How LLMs Are Going to Change Code Generation in Modern IDEs

Aggregated on: 2025-01-22 22:17:19

For years, developers have dreamed of having a coding buddy who would understand their projects well enough to automatically create intelligent code, not just pieces of it. We've all struggled with the inconsistent naming of variables across files, trying to recall exactly what function signature was defined months ago, and wasted valuable hours manually stitching pieces of our codebase together. This is where large language models (LLMs) come in — not as chatbots, but as strong engines in our IDEs, changing how we produce code by finally grasping the context of our work. Traditional code generation tools, and even basic features of IDE auto-completion, usually fall short because they lack a deep understanding of the broader context; hence, they usually operate in a very limited view, such as only the current file or a small window of code. The result is syntactically correct but semantically inappropriate suggestions, which need to be constantly manually corrected and integrated by the developer. Think about suggesting a variable name that is already used at some other crucial module with a different meaning — a frustrating experience we've all encountered.

Streamline npm Packages: Optimize and Boost Performance

Aggregated on: 2025-01-22 21:02:19

Sluggish build times and bloated node_modules folders are issues that many developers encounter but often overlook. Why does this happen? The answer lies in the intricate web of npm dependencies. With every npm install, your project inherits not only the packages you need but also their dependencies, leading to exponential growth in your codebase. As a result, it can slow down your daily workflow, making it ineffective and introducing security vulnerabilities. In this piece, we’ll examine practical methods for auditing and refining your npm packages. By the end, you’ll have a clearer understanding of how to keep your project efficient and secure.

Caching Strategies for Resilient Distributed Systems

Aggregated on: 2025-01-22 20:32:19

There are only two hard things in Computer Science: cache invalidation and naming things. - Phil Karlton Caching is an important technique in system design and offers several benefits. With caching, you can improve the performance and availability of your system while simultaneously reducing the cost of operating your service. Caching is the Swiss army knife of system design.

How to Test QR Codes in Your Applications

Aggregated on: 2025-01-22 19:17:19

Building quality software is only possible with quality tests. Whether you write test scripts for QA engineers or build automated tests, tests help to ensure that your applications continue to function as they grow and evolve. However, using automated testing to verify correct behavior can be challenging if your application generates visual artifacts, such as QR codes. Granted, you can write unit tests to ensure your code for generating QR codes does what it should; however, the danger is that your tests will be too tightly coupled to your application code. You’ll need to update your tests whenever you change the application.

A Practical Guide to Creating a Spring Modulith Project

Aggregated on: 2025-01-22 18:17:19

Spring Modulith empowers developers to define logical application modules in their code, facilitating the creation of well-structured, domain-aligned Spring Boot applications. This approach introduces modular design principles to the Spring Framework, providing a more organized way to develop applications. The General Availability (GA) version was released in August 2023, and the current stable version at the time of writing this article is 1.3.1.

Serverless AI Inference

Aggregated on: 2025-01-22 17:32:19

Serverless computing is a cloud computing model where cloud providers like AWS, Azure, and GCP manage the server infrastructure, dynamically allocating resources as needed. Developers either invoke APIs directly or write code in the form of functions, and the cloud provider executes these functions in response to certain events. This means developers can scale applications automatically without worrying about server management and deployments, leading to cost savings and improved agility. The main advantage of serverless computing is that it abstracts away much of the complexity related to release management, and developers don’t need to worry about capacity planning, hardware management, or even operating systems. This simplicity frees up time and resources to focus more on building innovative applications and services on top of the deployed models.

Implementing Zero Trust Security in Kubernetes

Aggregated on: 2025-01-22 16:17:19

Kubernetes has grown to become the go-to platform for container orchestration. While the flexibility and scalability that make Kubernetes interesting also present substantial security challenges, perimeter-based security has become outdated in these organizations, and thus, they are willing to switch to the zero-trust security paradigm. In this article, we will explore how to implement Zero Trust Security in Kubernetes to provide DevOps teams with actionable best practices on how to fortify their environment with respect to emerging threats.

Hybrid Search Using Postgres DB

Aggregated on: 2025-01-22 15:17:19

With a traditional lexical-based (or keyword-based) search, we will find documents that contain the exact word we searched for. Keyword search excels at precision but struggles with alternate phrasing or natural language. Semantic search addresses these limitations by capturing the intent behind documents and user queries. This is typically done by leveraging vector embeddings to map documents and queries into a high dimensional space and computing vector similarity to retrieve relevant results.

Practical Coding Principles for Sustainable Development

Aggregated on: 2025-01-22 14:17:19

As I look back at my journey in software development, spanning a little more than fifteen years, I can remember all the numerous moments when my decisions under the pressure of a deadline either set a project up for success in the long run or cursed it with chronic headaches. Sustainable software development, I've come to realize, is little more than a buzzword. It's an overarching philosophy that informs how we write code, structure projects, and think about the future. Initially, I was lured by the excitement of delivering new features rapidly. But after seeing those same shortcuts morph into technical debt, I changed my approach: code that merely "works" today is not enough; it needs to remain robust and maintainable for years to come. Throughout this article, I'll share my firsthand experiences and the principles I've adopted for sustainable development. We'll talk about the real cost of quick fixes, the importance of simplicity in code, the technical tools and techniques that keep quality high (like Git, SonarQube, and automated testing frameworks), and the practices, such as code reviews and refactoring, that help us pay down technical debt before it spirals out of control. If there is one underlying theme to all this, it's that "less is more." Focusing on quality over quantity, and keeping our code lean, maintainable, and tested, we can solve problems not only for now but for the future.

Automate Serverless Deployments With Ansible and OCI

Aggregated on: 2025-01-22 13:32:19

Serverless computing has become a key part of modern applications, allowing for flexible scaling, lower costs, and event-based workflows. Oracle Cloud Infrastructure (OCI) Functions is a fully managed platform that lets the user run functions on demand. It supports multiple users, scales easily, and provides serverless computing. Ansible is a powerful automation tool that makes it easier to deploy OCI Functions. It works without needing agents and uses a straightforward, declarative approach. OCI Functions OCI Functions is Oracle’s Function-as-a-Service (FaaS) offering, based on the open-source Fn Project. Key features of OCI Functions include:

COM Design Pattern for Automation With Selenium and Cucumber

Aggregated on: 2025-01-21 23:32:19

The Component Object Model (COM) is a design pattern that allows you to structure tests in test automation projects. Inspired by the popular Page Object Model (POM), COM goes beyond handling entire pages and focuses on specific UI components, such as buttons, text fields, dropdown menus, or other reusable elements. In this tutorial, we will explain how to implement COM to test a web application with Selenium WebDriver and Cucumber and how this approach can make your tests more flexible, modular, and easier to maintain.

Build Your Own GitHub-Like Tool With React in One Hour

Aggregated on: 2025-01-21 22:32:19

GitHub is a widely used platform for version control and collaboration, enabling developers to store, manage, and share code repositories. It supports Git, a distributed version control system that allows multiple contributors to work on projects simultaneously. With features like pull requests, issue tracking, and code reviews, GitHub has become a vital tool for open-source and professional software development. Introduction Howdy! I’m Maulik Suchak, the creator of this project, and I’m excited to introduce you to my GitHub web application. MyGitHub is a public web app built for browsing repositories under specific organizations and diving into their commit histories.

5 Key Steps for a Successful Cloud Migration Strategy

Aggregated on: 2025-01-21 21:17:18

If you have not remodeled your business to the cloud, you have stayed behind your competitors. The first step towards optimizing business strategy is cloud migration. 80% of companies, from small to large, have shifted their services to the cloud. Cloud migration can enhance data security, functionality, scalability, and customer service and reduce costs. Businesses can store their data, software applications, and more components in the cloud. However, migration from one cloud to another or from local data centers to the cloud requires the right strategy to be considered.

Development of a Truck Tracker and Delivery Services Software

Aggregated on: 2025-01-21 20:17:19

As the logistics industry evolves, it requires advanced solutions to streamline operations and enhance efficiency. This case study explores the development of a truck tracker cum delivery services software built using React Native, RESTful APIs, and SQLite. The software caters to both drivers and management, providing features such as route mapping, delivery status updates, and real-time tracking. Objective The primary goal was to create a comprehensive logistics management tool that enables:

Choose a Database With Hybrid Vector Search for AI Apps

Aggregated on: 2025-01-21 19:32:19

More and more, we see data pipelines being built to move and prepare data for AI use cases. To avoid being too buzzwordy, we'll define "AI use-cases" for this article as "RAG (Retrieval Augmented Generation) applications" to provide documents for a 'chat’-like application. The goal is to "augment" the question you will be posting to an LLM (like ChatGPT) with additional content you "retrieved," e.g.: C You are a helpful in-store assistant. Your #1 goal in life is to help our employees and customers find what they need. Some helpful context is: {{ relevant_documents }} Your task is to answer the question: {{ prompt }} Please don’t make things up. Only return answers based on the context provided in this prompt.

Azure Web Apps: Seamless Deployments With Deployment Slots

Aggregated on: 2025-01-21 18:17:18

Suppose you work for a healthcare company that provides its services via a web platform. The user interface for this platform is set up as a PHP web app hosted in Azure App Services. Frequent updates to the app's source code are rolled out to production to enhance features or address bugs. However, these updates sometimes introduce problems: Undetected bugs: Despite rigorous testing, testers occasionally miss critical bugs, leading to issues in the production environment. Downtime: When bugs are identified, rolling back changes causes service interruptions, which frustrates end-users. Slow deployments: The deployment and compilation process affects app responsiveness, especially during peak usage times, leading to user dissatisfaction. Is there a better solution to ensure seamless updates without interrupting the services? Yes! Microsoft Azure offers a powerful feature known as deployment slots.

Creating Scrolling Text With HTML, CSS, and JavaScript

Aggregated on: 2025-01-21 17:02:18

When you’ve been building web applications for over 25 years, as I have done, using HTML, CSS, and JavaScript has become second nature. In this article, I’ll show you some simple ways to create scrolling text using these tools, including five different methods for coding scrolling text with plain HTML, HTML and CSS, and finally, HTML + CSS + JS.

How to Design Event Streams, Part 3

Aggregated on: 2025-01-21 16:17:18

See previous Part 1 and Part 2. The relationship between your event definitions and the event streams themselves is a major design. One of the most common questions I get is, “Is it okay to put multiple event types in one stream? Or should we publish each event type to its own stream?”

Structured Logging in Spring Boot 3.4 for Improved Logs

Aggregated on: 2025-01-21 15:17:18

Structured logging has become essential in modern applications to simplify the analysis of logs and improve observability. Spring Boot 3.4 extends the logging capabilities of Spring Framework 6.2. This can be easily configured log formats using application.yml or application.properties. Before jumping into the details of the improvements, below is a brief on how structured logging has evolved, with comparisons between traditional logging and structured logging in Spring Framework 6.2 and Spring Boot 3.4.

Multi-Cluster Kubernetes Sealed Secrets Management in Jenkins

Aggregated on: 2025-01-21 14:32:18

The Jenkins pipeline below automates the secure management of Kubernetes sealed secrets across multiple environments and clusters, including AKS (Non-Production), GKE (Production Cluster 1), and EKS (Production Cluster 2). It dynamically adapts based on the selected environment, processes secrets in parallel for scalability, and ensures secure storage of credentials and artifacts. With features like dynamic cluster mapping, parallel execution, and post-build artifact archiving, the pipeline is optimized for efficiency, security, and flexibility in a multi-cloud Kubernetes landscape.