News Aggregator

The Next Big Thing: How Generative AI Is Reshaping DevOps in the Cloud

Aggregated on: 2024-12-20 22:10:34

As businesses grow and cloud systems get more complex, traditional DevOps methods struggle to keep up with fast changes. That’s where Generative AI comes in. This new technology is changing how applications are made and used. It is also evolving DevOps practices by automating repetitive tasks, improving processes, enhancing security, and providing better monitoring insights. AI has become a crucial partner for DevOps teams that aim for agility and strength in a rapidly changing cloud world. In this article, we will look closely at how Generative AI is transforming DevOps. We will talk about the challenges and opportunities it brings. We will also see how Microtica is leveraging AI to help DevOps teams deliver cloud solutions that are smarter, faster, and more efficient.

How to Test PATCH Requests for API Testing With Playwright Java

Aggregated on: 2024-12-20 19:10:34

Automated API testing offers multiple benefits, including speeding up the testing lifecycle and providing faster feedback. It helps in enhancing the efficiency of the APIs and allows teams to deliver the new features speedily to the market. There are multiple tools and frameworks available in the market today that offer automation testing of the APIs, including Postman, Rest Assured, SuperTest, etc. The latest entry on this list is the Playwright framework, which offers API and Web Automation Testing.

Idea to Running: One Minute

Aggregated on: 2024-12-20 16:10:34

Getting things right requires iteration. And we all know that requires running screens — they engage users far more than documents or wireframes. Framework complexity leads to this unpleasant situation: months of effort to get running screens, only then to uncover a misunderstanding. Ouch. Low code can help, but it still takes time to design databases and paint screens.

Strategic Roadmap for Modernizing Digital Operations: Transitioning from Legacy Development Models to Agile-Driven Integrated Frameworks

Aggregated on: 2024-12-20 13:10:34

In the modern world of constant change, change is the only constant for every fast-paced business that must provide a compelling and engaging solution to its target market. There are limitations in the waterfall actualization model, such as the inability to effectively meet the timelines and rush that dynamic customer operations often present. But moving to Agile is more than just a method; it's a new style of thinking about the interactions between systems, processes and technologies in the organization. In this paper, I present the views of how I participated in migrating a global beauty e-commerce brand from traditional e-commerce architecture to a more integrated approach governed by agile principles. But it wasn't just about adopting Agile — it was about redesigning processes, integrating systems, and building up processes in order to create an environment that looks and feels seamless.

Docker Security Best Practices for Enterprise Applications: From Development to Production

Aggregated on: 2024-12-19 22:25:33

In today's enterprise landscape, containerization has become almost synonymous with modern application deployment. However, with containers handling sensitive data and critical business operations, security should be carefully considered and implemented. I've spent years securing containerized applications in the financial sector, and today I'm going to share some battle-tested Docker security practices that have helped protect sensitive data for millions of customers. The Enterprise Container Security Landscape Before we dive into the technical stuff, let's talk about why Docker security matters more than ever. With containers handling everything from payment processing to personal data, a single vulnerability can expose your entire infrastructure. Here's what keeps enterprise security teams up at night:

Exploring the New Boolean Data Type in Oracle 23c AI

Aggregated on: 2024-12-19 19:40:33

This exciting release of Boolean Data Type Lab for Oracle Database 23c AI introduces native support for the boolean data type, a game-changer for database developers. With this enhancement, you can natively represent true, false, and null values, simplifying data modeling and making SQL and PL/SQL development more efficient. To illustrate, let’s recreate a scenario involving a Student Information System, where we’ll track whether students are currently enrolled in courses using the new boolean data type.

Using Java Class Extension Library for Data-Oriented Programming - Part 2

Aggregated on: 2024-12-19 17:20:17

This is the second article that presents an object-oriented programming (OOP) approach to effectively separate data from domain-specific logic in data-oriented programming, utilizing the dynamic class extensions using the Java Class Extension Library. You can read the first article there. Problem Let us reconsider the same scenario where we are building a warehouse application designed to handle the shipping of various items. We have established a hierarchy of classes to represent the goods we have:

Java Application Containerization and Deployment

Aggregated on: 2024-12-19 15:20:12

Application containerization provides a way to combine all required app resources into a single, standardized, easily manageable package. And for Java applications, containerization helps solves the majority of challenges related to portability and consistency. This Refcard walks readers step by step through Dockerfile creation for Java apps, container image builds, deployment strategies, and more.

Redefining Ethical Web Scraping in the Wake of the Generative AI Boom

Aggregated on: 2024-12-19 15:20:12

Public web data is being used for various purposes, from impactful research to creating and improving products. One of the most common ways to acquire such data is through web scraping. Because it involves gathering large amounts of data published by businesses or individuals online, it raises questions such as "Is it ethical?" The short answer is yes if you're following certain practices, but we need to lay the groundwork before diving head-first into it.

How to Write for DZone Publications: Trend Reports and Refcards

Aggregated on: 2024-12-19 14:05:12

The DZone team is thrilled that you're interested in writing for DZone Publications! We are always seeking new authors to build up our author database. However, DZone Publications operate a bit differently from DZone site articles. Keep reading to learn more about writing for DZone Publications. How to Stand Out on DZone We handpick authors to write for DZone Publications. There are many things we look for when selecting authors, but it all boils down to one thing: Your DZone profile is your best tool for recognition.

Automating Atlassian Data Center Application Upgrades

Aggregated on: 2024-12-19 13:20:12

Atlassian applications like Jira, Jira Service Management (JSM), Confluence, and Bitbucket are indispensable business tools worldwide. However, maintaining their security, stability, and performance requires regular updates to patch vulnerabilities, enhance features, and improve overall efficiency. With frequent security releases from Atlassian, managing upgrades in multi-node environments can become challenging. This is where tools like Ansible, Chef, and Terraform become essential for simplifying and streamlining the upgrade process. This article demonstrates how Ansible facilitates upgrading Jira Data Center, ensuring security and operational efficiency while minimizing downtime.

Zero Trust for AI: Building Security from the Ground Up

Aggregated on: 2024-12-18 23:20:09

As artificial intelligence (AI) continues to revolutionize industries, its role in critical applications continues to grow exponentially. With all this innovation comes a growing concern — how do we keep AI systems secure? Unlike traditional applications, AI deals with highly sensitive data, intricate models, and sprawling networks that don’t fit neatly within the walls of traditional security measures. Traditional security models, built on the assumption of trust within a defined network perimeter, are proving inadequate in protecting the highly distributed, dynamic, and sensitive nature of AI workflows. In the context of AI, where sensitive data, complex models, and distributed systems intersect, Zero Trust offers a proactive and holistic approach to security. This article explores the need for Zero Trust in AI, the fundamental principles that direct its application, and practical methods to safeguard AI systems from the outset.

Foundational Building Blocks for AI Applications

Aggregated on: 2024-12-18 22:20:09

Startups are revolutionizing their growth trajectory by harnessing AI technologies. From intelligent chatbots handling customer inquiries to sophisticated recommendation systems personalizing user experiences, AI tools are enabling small teams to achieve outsized impact. Modern startups can now automate complex operations, derive actionable insights from data, and scale their services efficiently - capabilities once reserved for large enterprises. Let's explore the practical implementation of AI in startups, examining both the essential technology stack and real-world applications through the lens of system architecture. In the following article, we will dive deep into two ways you can leverage AI models in your organization's solution stack:

GitOps Software Development Principles – And the Benefits for the Entire Organization

Aggregated on: 2024-12-18 21:20:09

The GitOps model for software development is a boon to productivity and software security. Companies that aren’t embracing it are missing a huge opportunity to release better software faster and with lower risk. This benefits the entire organization by reducing the possibility of everything from buggy software to cyberattacks. Here’s a bit of history to explain what GitOps is, how it has evolved, why developers love it, and why businesses should too. History of DevOps DevOps was created about a decade ago to bridge the longstanding gap between software development and IT operations. Traditionally, these two groups worked in silos: developers focused on writing code and adding new features, while the operations team was responsible for deploying and maintaining the software in production environments. This separation often led to miscommunication, conflicting objectives, and delays. Developers aimed for rapid innovation, sometimes introducing changes that could destabilize the system, whereas operations prioritized system stability and uptime, often resisting frequent changes.

Managing Orphaned Users in SQL Server: A Comprehensive Guide

Aggregated on: 2024-12-18 20:20:09

Managing orphaned users in SQL Server is critical to database security and administration. Orphaned users occur when a database user exists without a corresponding login in the master database. This mismatch can disrupt access and lead to potential security vulnerabilities. In this article, we'll explore what orphaned users are, how to detect them, and methods to resolve them, including updated examples and scenarios. Background To connect to an SQL Server database, a user must have a valid login in the master database. This login authenticates the user and maps to a database user for authorization. The mapping is maintained using the Security Identifier (SID), ensuring that database users and server logins are linked correctly.

Key Considerations for On-Premise to Cloud Data Warehouse Migration

Aggregated on: 2024-12-18 19:20:09

Migrating your on-premise data warehouse to the cloud — an efficient and scalable storage solution — requires thorough planning. You'll need to evaluate cost impact, scalability benefits, performance gains, governance structures, and compliance requirements, not to mention security and privacy implications. This article will explore these critical factors while giving you a high-level overview of the challenges inherent in transitioning your data to the cloud.

5 Signs You’ve Built a Secretly Bad Architecture (And How to Fix It)

Aggregated on: 2024-12-18 18:20:09

In the hustle to deliver value, development teams can unknowingly create software architectures that hinder their long-term progress. Initially, everything seems fine — features are shipping, continuous integration (CI) jobs are passing, and the product actually works. Yet, beneath the apparent progress, unchecked complexity can take root. What starts as manageable interactions between components can evolve into tangled dependencies and sprawling systems that hinder agility and slow innovation. Overly complex flows and unnecessary dependencies escalate complexity and architectural technical debt, creating barriers to maintainability and leaving teams vulnerable to setbacks at the most inopportune times. Overly complex flows and unnecessary dependencies escalate both complexity and architectural technical debt, hindering maintainability and leaving teams exposed to setbacks at the worst possible times.

Designing Accessible Telehealth Platforms for Older Adults: A React Developer's Guide

Aggregated on: 2024-12-18 17:20:09

As telehealth services increasingly become relevant in today’s world, particularly after the COVID-19 pandemic, all the user populations, including the elderly, must benefit from the programs leading to the importance of the above recommendations. React is adopted in this article to examine the key technical approaches for creating accessible telehealth applications that should follow the WCAG. As with many things, it is often possible to build interfaces that are accessible to all, including the elderly, by considering the following key areas of design or development.

Delta Live Tables in Databricks: A Guide to Smarter, Faster Data Pipelines

Aggregated on: 2024-12-18 16:20:09

Data pipelines are the main arteries of any organization that functions in the data economy. However, building and maintaining them can be a complex, time-consuming process and can be quite frustrating for data engineers. Maintaining data quality, maintaining data processes, and processing data in real-time are programmable challenges that can complicate projects and, thus, the quality of information. Delta Live Tables (DLT) from Databricks wants to do this differently. Through data validation automation, pipeline management simplification, and real-time processing handling by DLT, data engineers are able to design more efficient pipelines with fewer issues. This article will introduce you to DLT, showing how it can make data pipeline management easier and more efficient.

Can Pure Scrum Actually Work?

Aggregated on: 2024-12-18 15:20:09

Can you rely on pure Scrum to transform your organization and deliver value? Not always. While Scrum excels in simplicity and flexibility, applying it “out of the box” often falls short in corporate contexts due to limitations in product discovery, scaling, and portfolio management. This article explores the conditions under which pure Scrum thrives, the organizational DNA required to support it, and practical scenarios where it works best — along with a candid look at where it struggles. Discover whether pure Scrum is a realistic approach for your team and how thoughtful adaptation can unlock its true potential.

A Comprehensive Guide to Prompt Engineering

Aggregated on: 2024-12-18 14:20:09

Prompt engineering is the art and science of crafting inputs to guide AI models in generating desired outputs. This involves designing and refining prompts — questions, instructions, or statements — to effectively communicate with AI language models. The quality and structure of these prompts directly influence the usefulness and reliability of the AI’s responses. What Is the Perfect Prompt? The best prompt is one that effectively communicates your requirements to the AI, ensuring that the generated output meets your expectations. You can craft prompts that yield high-quality and useful responses by incorporating clarity, specificity, context, conciseness, and relevance.

Differences Between Software Design and Software Architecture

Aggregated on: 2024-12-18 13:20:09

When discussing software design and software architecture, the first question that often arises is: What do these terms mean? Despite their importance in software development, they usually need to be understood, with definitions that vary widely depending on the source. This lack of consensus can make drawing clear lines between them challenging. To clarify these concepts, let's explore their distinctions and interconnections, drawing from some of the most influential books in the field:

Managing AWS Managed Microsoft Active Directory Objects With AWS Lambda Functions

Aggregated on: 2024-12-17 23:05:09

AWS Managed Microsoft Active Directory provides the ability to run directory-aware workloads in the AWS Cloud, including Microsoft SharePoint and custom .NET and SQL Server-based applications. AWS Managed Microsoft Active Directory also provides the ability to access AWS resources through Identities stored in on-premise or self-managed Active Directory through Trusts. AWS Lambda runs code on a high-availability compute infrastructure and performs all of the administration of the compute resources, including server and operating system maintenance, capacity provisioning, automatic scaling, and logging.

Charge Vertical Scaling With the Latest Java GCs

Aggregated on: 2024-12-17 22:05:09

In the dynamic landscape of Java ecosystem enhancements, one could miss an important progress that has been made in Java Garbage Collection (GC) in recent years. Meanwhile, the latest generations of GC bring far-reaching consequences for running Java applications. This article intends to highlight the significant effects brought to us by ZGC and Shenandoah. Garbage Collection Garbage Collection is a feature that distinguishes Java from many other programming languages. The GC mechanism exempts manual memory management from development routine via finding and removing objects no longer used by an application automatically.

Observability 2.0: The Best Thing Since Sliced Bread

Aggregated on: 2024-12-17 21:05:09

Traditional monitoring is not enough. We need developer-centric solutions that only Observability 2.0 can give us. Read on to see why. Beyond Traditional Monitoring In today's software development landscape, creating cutting-edge applications requires an acute focus on the developers who craft these digital experiences from start to finish; henceforth, contemporary tools are not just expected but demanded to be inherently developer-centric-offering environments that promote efficiency and creativity. Observability 2.0 goes beyond traditional monitoring paradigms by embedding a continuous feedback mechanism directly into the development lifecycle itself rather than as an afterthought or separate process, demanding transparency across every phase of software production to maintain system health at all times while ensuring that code quality and application performance adhere strictly to enterprise standards.

Deploying LLMs Securely With OWASP Top 10

Aggregated on: 2024-12-17 20:05:09

Generative Artificial Intelligence (GenAI) adoption is picking up pace. According to McKinsey, the rate of implementation has doubled compared to just ten months prior, with 65 percent of respondents saying their companies regularly use GenAI. The promise of disruptive impact to existing businesses — or delivering services into markets in new and more profitable ways — is driving much of this interest. Yet many adopters aren’t aware of the security risks at hand. Earlier this year, the Open Worldwide Application Security Project (OWASP) released a Top 10 for Large Language Model (LLM) applications. Designed to provide hands-on guidance to software developers and security architects, the OWASP Top 10 guide lays out best practices for securely implementing GenAI applications that rely on LLMs. By explicitly naming the most critical vulnerabilities seen in LLMs thus far, prevention becomes a simpler task.

How to Optimize Edge Devices for AI Processing

Aggregated on: 2024-12-17 19:20:09

Edge computing allows data to be processed on devices rather than transferred to the cloud. Besides offering security-related benefits, this option can overcome the latency associated with moving information. As artificial intelligence (AI) has become more prominent in various industries, more people are interested in meeting edge AI computing goals by combining the two technologies for mutual benefits. Many are also exploring how to design for edge AI, making careful tweaks that result in the desired optimization. How can you follow their lead? Take an All-Encompassing Design Approach Creating edge devices to process AI content requires evaluating all design aspects, from hardware and software to power sources. Many artificial intelligence processing tasks are already resource-intensive, so those who want to make AI-friendly edge devices must apply forward-thinking decision-making to overcome known challenges.

Why GitOps Is Gaining Popularity in DevOps: A Deep Dive Into the Future of Infrastructure Management

Aggregated on: 2024-12-17 18:20:09

What’s GitOps All About? GitOps is a way to manage infrastructure and applications through Git, using it as a single source of truth. In simple terms, you treat infrastructure configurations the same way you treat code: everything is defined, versioned, and stored in Git. By using Git’s familiar workflows (pull requests, commits, reviews), you make infrastructure changes with full visibility and control. The magic of GitOps lies in automation. With tools like Flux or ArgoCD, every change committed to Git triggers updates to the live environment. These tools constantly monitor for any drift between what’s in Git and what’s live, and they reconcile the differences automatically, keeping your systems aligned with your intended setup.

Implementing OneLake With Medallion Architecture in Microsoft Fabric

Aggregated on: 2024-12-17 17:20:11

OneLake in Microsoft Fabric aims to provide an enterprise with a consolidated analytical approach by developing its data and tools into one logical base. OneLake, which is automatically available across all Microsoft Fabric tenants, enables users to manage large volumes of data without the need to build separate databases or overlays, encouraging data usage across the dimensions of the analytical ecosystem. Overview of Medallion Architecture Medallion Architecture, a systematic data management approach, offers a three-tier structure for data processing: Bronze, Silver, and Gold.

Using the Log Node in IBM App Connect Enterprise

Aggregated on: 2024-12-17 16:20:09

In the world of IBM App Connect Enterprise (ACE), effective logging is crucial for monitoring and troubleshooting. With the introduction of the Log node, it's now easier than ever to log ExceptionList inserts directly into the activity log, which can be viewed from the WebUI. The Log node can be especially valuable, often replacing the Trace node in various scenarios. This article contains two sections: the first will guide you through the process of using the Log node to log these inserts, helping you streamline your debugging and monitoring processes. The second section explores some scenarios that provide Log node hints and tips around default values.

Mastering Back-End Design Patterns for Scalable and Maintainable Systems

Aggregated on: 2024-12-17 15:20:09

Back-end development can feel like you’re constantly putting out fires — one messy query here, a crashing API call there. But it doesn’t have to be that way! By using well-established design patterns, you can make your codebase more organized, scalable, and easier to maintain. Plus, it’ll keep your boss impressed and your weekends stress-free. Here are some essential back-end patterns every developer should know, with examples in Java to get you started. 1. Repository Pattern: Tidy Up Your Data Layer If your application’s data access logic is scattered across your codebase, debugging becomes a nightmare. The Repository Pattern organizes this mess by acting as an intermediary between the business logic and the database. It abstracts data access so you can switch databases or frameworks without rewriting your app logic.

Optimizing Legacy Systems Through Advanced Scalable Architectures

Aggregated on: 2024-12-17 14:20:09

There are a number of legacy systems being used in different industries. These range from government entities to the financial sector, healthcare, transportation, manufacturing, and more. Many systems adopted in these industries were developed in the late 20th century and, therefore, face inherent limitations. The monolithic architectures and tightly coupled components they adopt are the prime reason for this. But that’s not the end of it, though. Previous-century development aside, some systems built using relatively more recent technologies also present several legacy issues. This is because of the rigid, stateful sessions and the management nature of these platforms.

Configuring Autoscaling for Various Machine Learning Model Types

Aggregated on: 2024-12-17 13:20:09

AWS Sagemaker has simplified the deployment of machine learning models at scale. Configuring effective autoscaling policies is crucial for balancing performance and cost. This article aims to demonstrate how to set up various autoscaling policies using TypeScript CDK, focusing on request, memory, and CPU-based autoscaling for different ML model types. Model Types Based on Invocation Patterns At a high level, model deployment in SageMaker can be broken into three main categories based on invocation patterns:

Building a New Public API

Aggregated on: 2024-12-16 23:20:08

This year, I embarked on an exciting journey to build a new public API system for one of my clients. The goal was to create a system allowing them to sell access to their valuable dataset to external parties. This project wasn't just about opening up new revenue streams; it was about innovation and expanding the value we could offer to the clients sector. APIs play a crucial role in modern software systems, facilitating the flow of essential data across various components and platforms. By enabling third parties to build products on top of our infrastructure, we were set to significantly increase the platform's value and reach.

Mainframe to Serverless Migration on AWS: Challenges and Solutions

Aggregated on: 2024-12-16 22:20:08

Companies across the globe spend more than $65 billion each year to maintain their legacy mainframe systems. Moving from mainframes to serverless systems on AWS gives businesses a great chance to cut operating costs. They can also benefit from cloud-native architecture. This fundamental change lets companies replace their rigid, monolithic systems with adaptable ones that meet market needs. AWS serverless technologies offer modern alternatives to traditional mainframe parts. Amazon EventBridge and Amazon API Gateway stand out as prime examples. These services make infrastructure management simple. They also deliver better scaling options and lower operating costs. This piece gets into the technical hurdles, strategies, and best practices you need for a successful mainframe-to-AWS serverless move. Your organization can direct this complex transition with confidence.

Strengthening IAM Security for Cloud IaaS Accounts

Aggregated on: 2024-12-16 21:20:08

Cloud IaaS providers like AWS, Azure, OCI, and GCP operate on a shared responsibility model. While they secure the underlying infrastructure, You, as a customer, are responsible for protecting data, applications, and access management. The rapid adoption of cloud services has made IaaS a prime target for cybercriminals. According to a recent study by IBM, misconfigurations in cloud services are responsible for billions of exposed records annually. The article covers important CIS hardening strategies for securing OCI cloud accounts and focusing on identity and access management. Effective IAM is the cornerstone of cloud security as it ensures that only authorized users can access your cloud resources and that they have only the permissions necessary to perform their tasks. Neglecting this responsibility can lead to data breaches, financial losses, and reputational damage.

Enhancing Security in Kubernetes: A Comparative Analysis of Cosign and Connaisseur

Aggregated on: 2024-12-16 20:20:08

As Kubernetes continues to gain traction in the realm of container orchestration, ensuring the security of container images has become paramount. Two prominent tools that focus on securing the software supply chain in Kubernetes environments are Cosign and Connaisseur. While both tools aim to enhance the integrity and authenticity of container images, they serve distinct purposes and functionalities. This article provides an in-depth analysis of these tools, highlighting their definitions, key differences, learning approaches, management strategies, and overall usability and maintenance.

Integrating Llama 3.2 AI With Amazon SageMaker

Aggregated on: 2024-12-16 19:20:08

Generative AI encompasses algorithms capable of producing novel content, such as text, images, and audio, based on learned patterns from training data. Llama 3.2, the latest iteration in the Llama series developed by Meta, is designed for versatility and enhanced performance across various tasks, including conversational agents, content creation, and personalized recommendations. The efficient implementation and deployment of such complex models necessitate robust frameworks like Amazon SageMaker, which provides a suite of tools for building, training, and deploying machine learning models at scale. Let's explore the implementation and deployment of Llama 3.2, a state-of-the-art generative AI model, using Amazon SageMaker. With its advanced capabilities in natural language understanding and generation, Llama 3.2 has emerged as a powerful tool for various applications, including content creation, conversation agents, and more. This article will provide a step-by-step guide on setting up the environment, training the model, deploying it, and making predictions using Amazon SageMaker, along with practical code examples.

Step-By-Step Guide to Integrating Python With RPA (Blue Prism)

Aggregated on: 2024-12-16 18:20:08

Most automation companies leverage the .NET Framework as a core language, particularly in the top three RPA platforms: Blue Prism, UiPath, and Power Automate. However, Automation Anywhere uses Java, and Power Automate utilizes Azure Functions and AI-enhanced capabilities along with the .NET Framework. RPA Platform Main Languages Reasons Blue Prism

Creating a Web Project: Four Questions to Ask Before You Start

Aggregated on: 2024-12-16 17:20:08

History knows a lot of examples when brilliant ideas were conceived in a garage and started in a somewhat chaotic manner. But it also knows just as many examples of equally brilliant ventures failing because of simple mistakes and a general lack of a systematic approach. I suggest you have a look at four basic steps that can get you some decent insurance against chaos. Get yourself and your team through them — and build your project’s foundation layer by layer. And remember: Amat Victoria Curam, Victory Loves Preparation. Question 1: Who Needs Your Project? Identifying your target audience is a critical step that should never be skipped. Without this, your project is at risk of failure even before it starts. You may ask why defining a target audience is of any matter for a developer. The answer is simple and straightforward. Your audience is the fundamental factor that defines everything else, from technology stack to product features. When you know who is going to use your product and how they will use it, you can optimize it accordingly.

Dropwizard vs. Micronaut: Unpacking the Best Framework for Microservices

Aggregated on: 2024-12-16 16:20:08

Microservices architecture has reshaped the way we design and build software, emphasizing scalability, maintainability, and agility. Two frameworks, Dropwizard and Micronaut, have gained prominence in the microservices ecosystem, each offering unique features to simplify and optimize development. In this article, we delve into a detailed comparison to help you determine which framework best suits your needs. Comparison Overview Dropwizard and Micronaut differ significantly in their design philosophies and capabilities:

Getting Sh!t Done Without Doing It Yourself: Part 1

Aggregated on: 2024-12-16 15:20:08

There’s a common career progression in this technical industry. You come in wet behind the ears as a junior developer, whether front-end, back-end, infrastructure, or even security. After a few years, you lose the “junior” from your title, and after a few more years, you gain a “senior.” You might become a team lead after that with some light duties around oversight and overall team delivery. But then you’re promoted into some role with "manager" in the title — engineering manager or software development manager or something similar. Suddenly, you’re in a position where it’s pretty easy to prove out the Peter principle. Wikipedia summaries this principle, coined in a 1969 book, as follows: “The Peter principle is a concept in management developed by Laurence J. Peter which observes that people in a hierarchy tend to rise to 'a level of respective incompetence': Employees are promoted based on their success in previous jobs until they reach a level at which they are no longer competent, as skills in one job do not necessarily translate to another.”

Securing APIs in Modern Web Applications

Aggregated on: 2024-12-16 14:20:08

APIs play a critical role in web applications in the modern digital world. They are the means by which diverse components of the software talk to each other and effectively communicate. Thus, with the growing use of APIs, new kinds of vulnerabilities come into play. The developers who want their applications to be secure should study the principles of API security. It is about security related to APIs, which would fall within an all-inclusive approach to cybersecurity in which sensitive data needs protection, and application interactions should be secure. API Security and Why It Matters APIs facilitate data between clouds, mobile applications, and web applications. This means they act like a perfect target for any form of attack. If there is no proper security measure in place, sensitive data can be easily exposed, and unauthorized access can be increased. Let the case be worse, wherein a poorly secured API could let hackers take advantage of API vulnerabilities through which large data could be breached or manipulated unethically. API security is, therefore, important in preventing leakages, ensuring the privacy of user information, and protecting the infrastructures of applications from adversarial threats.

Launching Pega Web Mashup Forms on a Secure Static Website With AWS S3

Aggregated on: 2024-12-16 13:20:08

I am pleased to share that I have designed and implemented a cost-effective and efficient solution for delivering a workflow-based form directly to end users via a publicly accessible static website. This solution streamlined user access while minimizing infrastructure complexity, ensuring a secure, scalable, and user-centered experience. Overview Pega Web Mashup is a powerful feature from Pega that allows businesses to embed Pega forms and applications into existing websites or portals. By using AWS S3, we can host a static website that contains a Pega Web Mashup form, which enables rapid deployment with minimal infrastructure overhead. This tutorial will walk through the steps to deploy a Pega Web Mashup form as a static website using an AWS S3 bucket.

Evolution of Software Architecture

Aggregated on: 2024-12-13 22:20:05

In recent years, software architecture has evolved dramatically, reshaping the technological landscape and influencing development practices. From the early days of monolithic designs to today’s distributed microservices and serverless architectures, software architecture has shifted to accommodate the growing needs for scalability, resilience, and agility. This article dives into key elements in evaluating software architecture, guiding architects, engineers, and business stakeholders in choosing the best architectural approach for specific project needs. The Evolution of Software Architecture Software architecture began with structured programming, where applications were simple and the codebase relatively straightforward. As business demands grew, object-oriented programming (OOP) introduced modular designs, allowing developers to encapsulate data and logic in classes and objects. This evolution continued with component-based software engineering (CBSE), which emphasized reusability and independent development cycles.

Which Flow Is Best for Your Data Needs: Time Series vs. Streaming Databases

Aggregated on: 2024-12-13 19:20:05

Data is being generated from various sources, including electronic devices, machines, and social media, across all industries. However, unless it is processed and stored effectively, it holds little value. A significant evolution is taking place in the way data is organized for further analysis. Some databases prioritize organizing data based on its time of generation, while others focus on different functionalities.

Enabling Behavior-Driven Service Discovery: A Lightweight Approach to Augment Java Factory Design Pattern

Aggregated on: 2024-12-13 16:20:04

The Factory Pattern is one of the popular creational design patterns in Java. It provides a single access point to obtain the suitable implementation of a service that is exposed as an abstract class or interface by using a service identifier that’s often the shorthand name of the implementation type and represented by a String or Enum. This pattern is used to create objects without specifying the exact class of object that will be created in the runtime and many of the frameworks and Java APIs developers come across every day use this pattern. This article aims to augment the design pattern to provide better readability and maintainability. It illustrates how the service discovery is automated by the proposed approach without requiring the factory method to manually accommodate code for the creation of a new service implementation every time a new service implementation is created for a different business need.

Improve Your Agile Processes with Artificial Intelligence

Aggregated on: 2024-12-13 13:20:04

Implementing agile methodologies during the development of software applications has become an industry norm today. They allow the teams to develop better products through iterative cycles with the help of feedback. However, it should be mentioned that Agile has actually reshaped project management for the better, and at the same time, it is actually rather complex to master its processes. It is capital at its finest, which brings AI into play here. Everyone knows that artificial intelligence has revolutionized the way we execute Agile and makes our processes more efficient, adaptive, and data-driven.

Solving Parallel Writing Issues in MuleSoft With Distributed Locking

Aggregated on: 2024-12-12 21:35:04

In MuleSoft applications running in multi-threaded or multi-worker environments, the risk of parallel writing issues arises when multiple threads or workers attempt to access or update the same shared resource simultaneously. These issues can lead to data corruption, inconsistencies, or unexpected behavior, especially in distributed systems where Mule applications are deployed across multiple workers in a cluster. The Problem: Parallel Writing Let me illustrate the problem first. I created a simple counter application that supports /inc and /get operations. The /inc operation increases the counter by 1, and the /get operation returns the current value.

Laravel vs. Next.js: What's the Right Framework for Your Web App?

Aggregated on: 2024-12-12 19:35:04

When it comes to building dynamic, scalable, and feature-rich web applications, selecting the right framework can make all the difference. Laravel, a PHP-based back-end framework, and Next.js, a React-based front-end framework, are two of the most popular choices among developers. While both are powerful in their domains, the question arises: which one is better for your project? In this blog, we’ll compare Laravel and Next.js, exploring their core features, strengths, weaknesses, and use cases. With detailed examples and code snippets, this article will help you decide which platform suits your needs.