News Aggregator

A Comprehensive Guide To Building and Managing a White-Label Platform

Aggregated on: 2024-07-03 13:38:19

Today we will be building a white-label system that can accommodate any number of subsidiaries. It requires careful planning and a flexible architecture. Here are some ideas to help you create a system that is easily adaptable for different subsidiaries: Modular Architecture Design your system with a modular architecture that allows easy integration of new features or modules. Each subsidiary can customize the modules without affecting the core functionality.

Trigger Salesforce Assignment Rules and Send Notifications From MuleSoft

Aggregated on: 2024-07-03 00:53:18

In many MuleSoft integration projects, there is a requirement to create lead or case records in Salesforce. Organizations typically use the lead assignment rule and case assignment rule to automatically assign new leads or cases to the users or queue. When we create leads or cases from MuleSoft using the Salesforce connector, by default it does not trigger the assignment rules and does not send email notifications to owners.

An Effective Way To Start a NextJS Project

Aggregated on: 2024-07-03 00:53:18

Choosing a framework for starting a new project can be quite challenging, considering the many frameworks and tools available today. Developers who want to build high-performance and scalable web applications often choose Next.js over others. No wonder, since Next.js is a React framework created by Vercel, offers a comprehensive solution for building server-side rendered (SSR) and static web applications. Here are some of the key advantages: Server-Side Rendering (SSR) and Static Site Generation (SSG): Next.js supports both SSR and SSG, allowing developers to choose the best rendering method for their needs. SSR improves SEO and page load speed by rendering pages on the server, while SSG can pre-render pages at build time for faster performance. Built-in routing: Next.js simplifies routing with its file-based routing system. By organizing your files and folders in the pages directory, you can automatically create corresponding routes, eliminating the need for an external router library. Optimized performance: Next.js comes with a host of performance optimizations out of the box, including code splitting, automatic static optimization, and image optimization, ensuring your application runs efficiently. Starting from scratch can be time-consuming, especially when configuring essential features like authorization and CRUD operations. A proper approach is to use a ready-made boilerplate that includes these settings, allowing you to focus on building features rather than setting up the basics. By applying a ready-to-use Next.js boilerplate, you would get:

How to Configure Custom Metrics in AWS Elastic Beanstalk Using Memory Metrics Example

Aggregated on: 2024-07-02 21:08:18

Recently, I encountered a task where a business was using AWS Elastic Beanstalk but was struggling to understand the system state due to the lack of comprehensive metrics in CloudWatch. By default, CloudWatch only provides a few basic metrics such as CPU and Networks. However, it’s worth noting that Memory and Disk metrics are not included in the default metric collection. Fortunately, each Elastic Beanstalk virtual machine (VM) comes with a CloudWatch agent that can be easily configured to collect additional metrics. For example, if you need information about VM memory consumption, which AWS does not provide out of the box, you can configure the CloudWatch agent to collect this data. This can greatly enhance your visibility into the performance and health of your Elastic Beanstalk environment, allowing you to make informed decisions and optimize your application’s performance.

Performance and Scalability Analysis of Redis and Memcached

Aggregated on: 2024-07-02 21:08:18

Speed and scalability are significant issues today, at least in the application landscape. Among the critical enablers for fast data access implementation within in-memory data stores are the game changers in recent times, which are technologies like Redis and Memcached. However, the question arises of choosing the best one. This article takes a plunge into the comparative analysis of these two cult technologies, highlights the critical performance metrics concerning scalability considerations, and, through real-world use cases, gives you the clarity to confidently make an informed decision. We have run these benchmarks on the AWS EC2 instances and designed a custom dataset to make it as close as possible to real application use cases. We compare throughput, operations per second, and latency under different loads, namely the P90 and P99 percentiles. We investigate deeper in a clustered environment and try identifying the scalability characteristics of both Redis and Memcached, including the implementation and management complexities of either. This level of comparison detail will assist decision-makers with the information they would need to make a more appropriate choice of an in-memory data store for their needs.

DDN and Tintri: Powering the Future of AI and Enterprise Storage

Aggregated on: 2024-07-02 21:08:18

As the demand for high-performance storage solutions continues to grow, especially in the realms of artificial intelligence (AI) and machine learning (ML), industry leaders DDN and Tintri are stepping up to meet the challenge. At the 56th IT Press Tour, these companies unveiled their latest innovations, designed to empower developers, engineers, and architects with cutting-edge tools to manage and leverage data at unprecedented scales. Let's dive into how these advancements are set to transform the landscape of data management and AI infrastructure. DDN: Revolutionizing AI Storage at Scale DDN, a longtime leader in high-performance storage solutions, is making significant strides in the AI storage space. Their approach is twofold, focusing on both massive-scale operations and enterprise-level AI needs.

Outsmarting Cyber Threats: How Large Language Models Can Revolutionize Email Security

Aggregated on: 2024-07-02 18:23:18

Email remains one of the most common vectors for cyber attacks, including phishing, malware distribution, and social engineering. Traditional methods of email security have been effective to some extent, but the increasing sophistication of attackers demands more advanced solutions. This is where Large Language Models (LLMs), like OpenAI's GPT-4, come into play. In this article, we explore how LLMs can be utilized to detect and mitigate email security threats, enhancing overall cybersecurity posture. Understanding Large Language Models What Are LLMs? LLMs are artificial intelligence models that are trained on vast amounts of text data to understand and generate human-like text. They are capable of understanding context and semantics and can perform a variety of language-related tasks.

Apache Hudi: A Deep Dive With Python Code Examples

Aggregated on: 2024-07-02 18:23:18

In today's data-driven world, real-time data processing and analytics have become crucial for businesses to stay competitive. Apache Hudi (Hadoop Upserts and Incremental) is an open-source data management framework that provides efficient data ingestion and real-time analytics on large-scale datasets stored in data lakes. In this blog, we'll explore Apache Hudi with a technical deep dive and Python code examples, using a business example for better clarity. Table of Contents: Introduction to Apache Hudi Key Features of Apache Hudi Business Use Case Setting Up Apache Hudi Ingesting Data with Apache Hudi Querying Data with Apache Hudi Security and Other Aspects Security Performance Optimization Monitoring and Management Conclusion 1. Introduction to Apache Hudi Apache Hudi is designed to address the challenges associated with managing large-scale data lakes, such as data ingestion, updating, and querying. Hudi enables efficient data ingestion and provides support for both batch and real-time data processing.

How a Project Manager Can Increase Software Quality With Agile Practices

Aggregated on: 2024-07-02 18:23:18

Quality is the pillar that supports any software product. If a platform works poorly, both the business and the customers fail, as they do not get what they are looking for or satisfy their most immediate needs. That's why, as customer demands and market competitiveness increase, software teams must adapt quickly to deliver high-quality products. In this scenario, Agile practices can make an important difference and are the basis of project managers today, since they can not only improve efficiency through the Agile methodology but also promote software quality in a notable way.

Using Agile To Recover Failing Projects

Aggregated on: 2024-07-02 18:23:18

Did you know that up to 84% of Waterfall and 47% of Agile projects either fail or don’t meet expected results? That may sound like an alarming number, but the point of this is not to be a doomsayer or to focus on the perceived negative. What those numbers reflect is an opportunity. An opportunity to turn a seemingly failed project into a flourishing one, to learn lessons, and to leverage the things that make Agile principles work so smoothly when they do. The name for Agile methodologies was chosen well and done so for a reason. To be agile is to be quick on your feet, to be able to adapt quickly, and to be able to solve unpredictable problems while keeping momentum. Just like in a fast-paced race, when things start to go wrong, they tend to do so quickly. Agile problems require agile solutions — to be solved as speedily as they appear or change or ripple outwards.

Theme-Based Front-End Architecture Leveraging Tailwind CSS for White-Label Systems

Aggregated on: 2024-07-02 14:23:18

Tailwind CSS can be a helpful tool for creating multiple themes in your React app. You can define utility classes for each theme and conditionally apply them based on user preferences or any other criteria. This allows you to easily switch between themes without writing custom styles for each one. To implement multiple themes with Tailwind CSS in a React app, you can follow these general steps:

Operational Excellence Best Practices

Aggregated on: 2024-07-02 14:23:18

In the summer of 2023, my team entered into a code yellow to stabilize the health of the service we own. This service powers the visualization on the dashboard product. The decision was made following high-severity incidents impacting the availability of the service. For context, the service provides aggregation data to dashboard visualizations by gathering aggregations through the data pipeline. This is a critical path service for dashboard rendering. Any impact on the availability of this service manifests itself as dashboard viewers experiencing delays in rendering visualizations and rendering failures in some cases.

A Look Into Netflix System Architecture

Aggregated on: 2024-07-02 02:23:18

Ever wondered how Netflix keeps you glued to your screen with uninterrupted streaming bliss? Netflix Architecture is responsible for the smooth streaming experience that attracts viewers worldwide behind the scenes. Netflix's system architecture emphasizes how important it is to determine how content is shaped in the future. Join us on a journey behind the scenes of Netflix’s streaming universe! Netflix is a term that means entertainment, binge-watching, and cutting-edge streaming services. Netflix’s rapid ascent to popularity may be attributed to its vast content collection, worldwide presence, and resilient and inventive architecture.

GBase 8a Implementation Guide: Resource Assessment

Aggregated on: 2024-07-02 02:23:18

1. Disk Storage Space Evaluation The storage space requirements for a GBase cluster are calculated based on the data volume of the business system, the choice of compression algorithm, and the number of cluster replicas. The data volume of a business system usually includes the following aspects: Historical data volume Incremental data volume and the size of each increment Data storage period and total data volume for the entire period Data growth rate and reserved storage space Example Considering the above aspects, assume that the total data volume for the entire period of a certain business system is 30TB. The calculation method for the physical disk capacity of the GBase cluster is as follows:

Handling “Element Is Not Clickable at Point” Exception in Selenium

Aggregated on: 2024-07-01 22:08:18

In Selenium automation testing, locators help identify and interact with any element on the web page. For example, ID, Name, ClassName, XPath, CSS Selector, TagName, LinkText, and Partial LinkText are widely used to help you interact with the elements on the web page. Identifying the elements may be an easy task, but your tests might fail due to the state of the WebElement (e.g., the element is not visible or the element is not clickable at point, etc.). In such cases, the tests might throw different Selenium exceptions such as NoSuchElementException, ElementNotVisibleException, etc.

Terraform Tips for Efficient Infrastructure Management

Aggregated on: 2024-07-01 22:08:18

Terraform is a popular tool for defining and provisioning infrastructure as code (IaC), improving consistency, repeatability, and version control. But you need to know how to use it properly to extract maximum value from it as an infrastructure management tool. In this article, we explore best practices for using Terraform to streamline your infrastructure management effectively and avoid common pitfalls.

High Availability and Disaster Recovery (HADR) in SQL Server on AWS

Aggregated on: 2024-07-01 22:08:18

High Availability and Disaster Recovery (HADR) play a vital role in maintaining the integrity of data, reducing downtime, and safeguarding against data loss in enterprise database systems. AWS offers a range of HADR options for SQL Server, which leverage the powerful capabilities of SQL Server along with the scalability and flexibility of AWS. In this article, we will guide you through the process of configuring HADR for SQL Server on AWS, providing practical code examples for setting up and recovering a SQL Server database. 1. Setting up SQL Server on AWS Launch an EC2 Instance With SQL Server Initiate the deployment of an EC2 instance: Utilize the AWS Management Console to commence the deployment of an EC2 instance by selecting the suitable SQL Server AMI (Amazon Machine Image). Opt for the instance type that aligns with your specific performance criteria. Set up security groups: Guarantee that the security groups permit the essential inbound and outbound traffic to facilitate seamless SQL Server communication. Shell aws ec2 run-instances \ --image-id ami-0abcdef1234567890 \ --instance-type t3.large \ --key-name MyKeyPair \ --security-group-ids sg-0123456789abcdef0 \ --subnet-id subnet-6e7f829e

Integration Testing With Keycloak, Spring Security, Spring Boot, and Spock Framework

Aggregated on: 2024-07-01 22:08:18

In today's security landscape, OAuth2 has become a standard for securing APIs, providing a more robust and flexible approach than basic authentication. My journey into this domain began with a critical solution architecture decision: migrating from basic authentication to OAuth2 client credentials for obtaining access tokens. While Spring Security offers strong support for both authentication methods, I encountered a significant challenge. I could not find a declarative approach that seamlessly integrated basic authentication and JWT authentication within the same application. This gap in functionality motivated me to explore and develop a solution that not only meets the authentication requirements but also supports comprehensive integration testing. This article shares my findings and provides a detailed guide on setting up Keycloak, integrating it with Spring Security and Spring Boot, and utilizing the Spock Framework for repeatable integration tests. By the end of this article, you will clearly understand how to configure and test your authentication mechanisms effectively with Keycloak as an identity provider, ensuring a smooth transition to OAuth2 while maintaining the flexibility to support basic authentication where necessary.

OpenID Connect Flows: From Implicit to Authorization Code With PKCE and BFF

Aggregated on: 2024-07-01 18:08:18

This article will review the principles behind various OpenID Connect (OIDC) authentication flows, from the simplest to the most modern, highlighting the vulnerabilities present in each. We will explore each of the following OpenID Connect flows in detail:

Explainable AI: Seven Tools and Techniques for Model Interpretability

Aggregated on: 2024-07-01 16:08:18

As AI models become increasingly complex, understanding how they make decisions is crucial. This is especially true in fields like healthcare, finance, and law, where transparency and accountability are paramount. Explainable AI (XAI) helps by making AI models more interpretable. This blog will introduce seven tools and techniques for model interpretability, providing software developers with practical ways to demystify AI. 1. LIME (Local Interpretable Model-Agnostic Explanations) What Is LIME? LIME is a popular tool for interpreting complex models. It works by approximating the model locally with an interpretable model, such as a linear regression or decision tree.

Use AWS Generative AI CDK Constructs To Speed up App Development

Aggregated on: 2024-07-01 16:08:18

In this blog, we will use the AWS Generative AI Constructs Library to deploy a complete RAG application composed of the following components: Knowledge Bases for Amazon Bedrock: This is the foundation for the RAG solution. OpenSearch Serverless collection: It supports the vector search collection type that provides similarity search capability. An S3 bucket: This will act as the data source for the Knowledge Base. AWS Lambda function (written in Python) along with an API Gateway that uses the RetrieveAndGenerate API to query the knowledge base and generate responses from the information it retrieves.

Front-End Application Performance Monitoring (APM)

Aggregated on: 2024-07-01 14:23:18

Introduction to Front-End APM Tools: Dynatrace vs. AppDynamics Today enterprise web applications are easy to build using technologies like React, and Angular but performance management is crucial and is often ignored. There are various Application Performance Management (APM) tools at your disposal, but two tools that surpass the others in terms of flexibility of implementation, monitoring capability, dynamic error resolution, and ease of use are Dynatrace and AppDynamics. In this post, we will delve deeper into front-end monitoring with two leading tools: Dynatrace and AppDynamics. Moreover, we will compare the pros and cons of each tool and highlight the implementation details in the front-end source code.

Implementing Real-Time Credit Card Fraud Detection With Apache Flink on AWS

Aggregated on: 2024-07-01 14:23:18

Credit card fraud is a significant concern for financial institutions, as it can lead to considerable monetary losses and damage customer trust. Real-time fraud detection systems are essential for identifying and preventing fraudulent transactions as they occur. Apache Flink is an open-source stream processing framework that excels at handling real-time data analytics. In this deep dive, we'll explore how to implement a real-time credit card fraud detection system using Apache Flink on AWS. Apache Flink Overview Apache Flink is a distributed stream processing engine designed for high-throughput, low-latency processing of real-time data streams. It provides robust stateful computations, exactly-once semantics, and a flexible windowing mechanism, making it an excellent choice for real-time analytics applications such as fraud detection.

The Scale, Speed, and Spend of Low Code: Benefits and Challenges of Low-Code Platforms

Aggregated on: 2024-06-30 15:53:18

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, Low-Code Development: Elevating the Engineering Experience With Low and No Code. The relevance of low-code development is growing as businesses seek to accelerate their digital transformation, improve operational efficiencies, and respond swiftly to market changes. By democratizing app development, low-code platforms enable both professional developers and non-technical users to build, deploy, and maintain software solutions efficiently.

Empowering Citizen Developers With Low- and No-Code Tools: Changing Developer Workflows and Empowering Non-Technical Employees to Build Apps

Aggregated on: 2024-06-29 15:23:17

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, Low-Code Development: Elevating the Engineering Experience With Low and No Code. The rise of low-code and no-code (LCNC) platforms has sparked a debate about their impact on the role of developers. Concerns about skill devaluation are understandable; after all, if anyone can build an app, what happens to the specialized knowledge of experienced programmers?

PostgreSQL BiDirectional Replication

Aggregated on: 2024-06-28 23:38:16

As you can understand from my previous blogs I am really into PostgreSQL. Previously we ran Debezium in Embedded mode. Behind the scenes, Debezium consumes the changes that were committed to the transaction log. This happens by utilizing the logical decoding feature of PostgreSQL.

Twenty Things Every Java Software Architect Should Know

Aggregated on: 2024-06-28 22:38:17

As the software development landscape continues to evolve at a rapid pace, Java stands out as a foundational language that drives a multitude of applications on a global scale. In 2024, the role of a Java software architect has assumed unprecedented significance. Software architects must not only possess a profound comprehension of Java and its ecosystem but also remain current with the latest trends, technologies, and best practices in order to construct resilient, scalable, and efficient applications. This article meticulously examines 20 essential areas that every Java software architect should aim to master in 2024. Encompassing diverse topics such as microservices, cloud-native applications, reactive programming, and blockchain technology, these areas encapsulate the requisite skills and knowledge crucial for navigating the ever-changing realm of software architecture. Furthermore, each section provides insights into related technologies and recommends pertinent books to furnish architects with a comprehensive roadmap for remaining at the forefront of their field.

How To Plan a (Successful) MuleSoft VPN Migration (Part II)

Aggregated on: 2024-06-28 21:53:17

In this second post, we'll be reviewing more topics that you should take into consideration if you're planning a VPN migration. If you missed the first part, you can start from there.

Leveraging Microsoft Graph API for Unified Data Access and Insights

Aggregated on: 2024-06-28 20:08:16

In today's world driven by data, it is essential for businesses and developers to efficiently access and manage data. The Microsoft Graph API serves as a gateway to connect with Microsoft services, like Office 365 Azure AD, OneDrive, Teams, and more. By utilizing the Microsoft Graph API companies can simplify data access, improve collaboration, and extract insights from their data. This article delves into the functionalities of the Microsoft Graph API. How it can be used to centralize data access for insights. Understanding the Microsoft Graph API The Microsoft Graph API acts as a web service that empowers developers to interact with Microsoft cloud services and information. It offers an endpoint (https;//graph.microsoft.com) for engaging with services making data integration and management across various platforms more straightforward.

AWS CDK: Infrastructure as Abstract Data Types

Aggregated on: 2024-06-28 19:23:16

Infrastructure as Code (IaC), as the name implies, is a practice that consists of defining infrastructure elements with code. This is opposed to doing it through a GUI (Graphical User Interface) like, for example, the AWS Console. The idea is that in order to be deterministic and repeatable, the cloud infrastructure must be captured in an abstract description based on models expressed in programming languages to allow the automation of the operations that otherwise should be performed manually. AWS makes several IaC tools available, as follows:

Pure Storage Accelerates Application Modernization With Robust Kubernetes and Cloud-Native Solutions

Aggregated on: 2024-06-28 18:23:16

The rapid adoption of cloud-native technologies and Kubernetes has revolutionized application development and deployment. At Pure Storage Accelerate 2024, Shawn Rosemarin, VP of R&D Customer Engineering at Pure Storage, shed light on how Pure Storage is enabling organizations to accelerate their application modernization initiatives with a robust platform that bridges the gap between developer agility and IT control. Embracing the Cloud-Native Future According to Rosemarin, 80% of organizations plan to build new applications on cloud-native platforms over the next five years. Pure Storage is evolving its platform to support the unique storage requirements of cloud-native, microservices-based applications.

Partitioning Hot and Cold Data Tier in Apache Kafka Cluster for Optimal Performance

Aggregated on: 2024-06-28 17:38:16

At first, data tiering was a tactic used by storage systems to reduce data storage costs. This involved grouping data that was not accessed as often into more affordable, if less effective, storage array choices. Data that has been idle for a year or more, for example, may be moved from an expensive Flash tier to a more affordable SATA disk tier. Even though they are quite costly, SSDs and flash can be categorized as high-performance storage classes. Smaller datasets that are actively used and require the maximum performance are usually stored in Flash. Cloud data tiering has gained popularity as customers seek alternative options for tiering or archiving data to a public cloud. Public clouds presently offer a mix of object and file storage options. Object storage classes such as Amazon S3 and Azure Blob (Azure Storage) deliver significant cost efficiency and all the benefits of object storage without the complexities of setup and management.

The Cutting Edge of Web Application Development: What To Expect in 2024

Aggregated on: 2024-06-28 16:38:16

Web application development is one of the most swiftly evolving domains, impressively transforming the given face of cyberspace. As we progress into the year 2024, numerous progressive trends and technologies are emerging, which integrate novel fields for developers and businessmen to explore their talent. This blog will present thoughts on the newest trends regarding the creation of web applications, and provide an outlook into how these advancements are set to revolutionize the way we build and use web applications. Progressive Web Apps (PWAs) Gain Momentum PWAs have been in the market since 2015, but 2024 will mark the year when PWAs will emerge as applications. By combining some elements from both internet and mobile apps, the PWAs make the users of those apps feel like they are using some sort of application in the browser. Some of the features of the online platforms are offline access: users can access information from a platform regardless of their network connection; push notifications; and the ability of the platform to load very fast even on slow networks.

Spring AI: How To Write GenAI Applications With Java

Aggregated on: 2024-06-28 15:38:16

Generative AI (GenAI) is currently a hot topic in the tech world. It's a subset of artificial intelligence that focuses on creating new content, such as text, images, or music. One popular type of GenAI component is the Large Language Model (LLM), which can generate human-like text based on a prompt. Retrieval-Augmented Generation (RAG) is a technique that enhances the accuracy and reliability of generative AI models by grounding them in external knowledge sources. While most GenAI applications and related content are centered around Python and its ecosystem, what if you want to write a GenAI application in Java? In this blog post, we'll look at how to write GenAI applications with Java using the Spring AI framework and utilize RAG for improving answers.

Unlocking Potential With Mobile App Performance Testing

Aggregated on: 2024-06-28 14:38:16

Approximately one-fourth of all downloaded applications (25.3%) are used only once. The primary reason for this is their failure to meet user expectations. Issues such as technical glitches, excessive file size, and confusing user interfaces often lead to app removal. It is discouraging to realize that two-thirds of users may never open your app again after just one use. Those who do return are likely to be highly critical. Your aim should not just be to avoid falling into the category of quickly uninstalled apps. It would be best if you also strived to exceed user expectations.

From JSON to FlatBuffers: Enhancing Performance in Data Serialization

Aggregated on: 2024-06-28 13:38:17

A client approached us with a three-month timeline for launching an MVP to be tested by real users. Our task was to develop a relatively straightforward backend for a mobile application. From the outset, the client provided detailed requirements, specifications, and integration modules. The primary goal was to collect data from the mobile application, review it, and send it to the specified integrations. Essentially, our role was to be a validating proxy service that recorded events. What’s the usual challenge we face? It’s either cranking out a quick microservice or a combo of services that’ll catch requests from the app. Most of the time, our clients are rocking top-notch gear and flagship devices.

Orchestrating IAT, IPA, and RPA With Low-Code Platforms: Benefits and Challenges of Advanced Automation and Testing

Aggregated on: 2024-06-28 12:53:16

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, Low-Code Development: Elevating the Engineering Experience With Low and No Code. When software development teams face pressure to deliver high-quality applications rapidly, low-code platforms offer the needed support for rapidly evolving business requirements and complex integrations. Integrating intelligent automated testing (IAT), intelligent process automation (IPA), and robotic process automation (RPA) solutions, which can adapt to changes more readily, ensures that testing and automation keep pace with the evolving applications and processes. In a low-code development environment, as shown in Figure 1, IAT, IPA, and RPA can reduce manual effort and improve test coverage, accuracy, and efficiency in the SDLC and process automation.

Difference Between App Development and IaC CI/CD Pipelines

Aggregated on: 2024-06-27 23:38:16

In the software development domain, implementing robust and efficient processes helps meet the continuously evolving demands of the industry. Essentially, the rapid deployment of both infrastructure and software is crucial to maintaining a competitive edge in the market. Adopting methodologies like Infrastructure as Code (IaC) and Continuous Integration/Continuous Deployment (CI/CD) are crucial for swift and consistent software delivery. These approaches transform how software and its infrastructure are built, tested, and deployed. This article explores the fundamental concepts of CI/CD and the differences in application in two distinct areas: conventional software/application development and IaC.

Tenv v2.0: The Importance of Explicit Behavior for Version Manager

Aggregated on: 2024-06-27 22:38:16

The explicit behavior of IAC version managers is quite crucial. It is especially critical in the realm of Terraform and OpenTofu because tool upgrades might destroy or corrupt all managed infrastructure. To protect users from unexpected updates, all version managers have to work clearly and without any internal wizardry that cannot be explained without a deep dive into the sources. Tenv is a versatile version manager for OpenTofu, Terraform, Terragrunt, and Atmos, written in Go and developed by tofuutils team. This tool simplifies the complexity of handling different versions of these powerful tools, ensuring developers and DevOps professionals can focus on what matters most — building and deploying efficiently. Tenv is a successor of tofuenv and tfenv.

How To Plan a (Successful) MuleSoft VPN Migration (Part I)

Aggregated on: 2024-06-27 21:38:16

You might need to migrate your MuleSoft legacy VPNs to Anypoint VPN. You might be changing your routing, from static to dynamic. Or maybe, you're moving to Cloudhub 2.0. It doesn't matter, you need to migrate your VPN. A VPN migration could be a complete nightmare, or it could be a great opportunity to improve your Mule setup. You decide. Many think the key to a good migration is to set up everything correctly. They're wrong. The key to any migration type (VPN, infra, apps... etc.) is to have a PLAN. A GOOD PLAN.

Java 8 Threading and Executor Services

Aggregated on: 2024-06-27 20:38:16

Understanding Java 8 Threading and Executor Services Java 8 introduced several enhancements to its concurrency framework, primarily through the java.util.concurrent package. This has made it easier to manage multiple threads and execute tasks concurrently. In this article, we will delve into the concepts of threading and executor services in Java 8, exploring their various types and providing detailed examples to illustrate their use. Introduction to Java Threading Threading is the backbone of concurrent programming in Java. A thread is a lightweight process that allows multiple tasks to be executed simultaneously. Java provides two primary ways to create a thread:

Node.js Walkthrough: Build a Simple Event-Driven Application With Kafka

Aggregated on: 2024-06-27 19:38:16

Have you ever wondered how some of your favorite apps handle real-time updates? Live sports scores, stock market tickers, or even social media notifications — all rely on event-driven architecture (EDA) to process data instantly. EDA is like having a conversation where every new piece of information triggers an immediate response. It’s what makes an application more interactive and responsive. In this walkthrough, we'll guide you through building a simple event-driven application using Apache Kafka on Heroku. We'll cover:

Addressing Memory Issues and Optimizing Code for Efficiency: Glide Case

Aggregated on: 2024-06-27 18:38:16

Memory management issues and optimizing code for efficiency are critical aspects of software development, especially in resource-constrained environments like mobile devices. Glide stands out as a remarkable library tailored for efficiently displaying images on Android devices and beyond. With its robust caching mechanism, handling caching to disk or memory becomes almost effortless. Our ongoing project, Guzel Board, endeavors to deliver a straightforward and cost-effective digital signage solution. Designed to operate seamlessly on HDMI Android TVs or TV sticks like Chromecast and Amazon Fire TV sticks, Guzel Board confronts the challenge of limited memory resources inherent in such devices.

On-Demand-Schedulers With MuleSoft CloudHub APIs

Aggregated on: 2024-06-27 17:08:16

In some projects, there might be many scheduler-based applications, and the testing team from either source or target systems doesn't have access to the Anypoint platform to run schedulers whenever required; thus, having to rely on MuleSoft developers to run the schedulers for them. In this article, you will learn how to create a simple web page using HTML for fetching the user's input and use CloudHub APIs to run the schedulers based on the user's inputs provided. This will save a lot of time for the testing team to test the integration in the lower environments. I would recommend not using this for testing in production as if someone misuses it by running the schedulers more frequently, then integration might break.

Data Governance: Data Integration (Part 4)

Aggregated on: 2024-06-27 17:08:16

What Is Data Governance? Data governance is a framework that is developed through the collaboration of individuals with various roles and responsibilities. This framework aims to establish processes, policies, procedures, standards, and metrics that help organizations achieve their goals. These goals include providing reliable data for business operations, setting accountability, and authoritativeness, developing accurate analytics to assess performance, complying with regulatory requirements, safeguarding data, ensuring data privacy, and supporting the data management life cycle. Creating a Data Governance Board or Steering Committee is a good first step when integrating a Data Governance program and framework. An organization’s governance framework should be circulated to all staff and management, so everyone understands the changes taking place.

LLM Orchestrator: The Symphony of AI Services

Aggregated on: 2024-06-27 16:08:16

The evolution of software architecture and process orchestration reflects a continual quest for optimization and efficiency, mirroring the progression in the domain of AI model development. From monolithic architectures to service-oriented designs and beyond, each phase has built upon its predecessors to enhance flexibility and responsiveness. This journey provides a valuable framework for understanding the emerging paradigm of the LLM Orchestrator. Monolithic to Modular: The Foundations Initially, software systems were largely monolithic, with all components tightly integrated into a single, indivisible unit. This architecture made deployments simple and straightforward but lacked scalability and flexibility. As systems grew more complex, the limitations of the monolithic design became apparent, sparking a shift towards more modular architectures.

Hammerspace Empowers GPU Computing With Enhanced S3 Data Orchestration

Aggregated on: 2024-06-27 14:53:16

Hammerspace Tackles the Challenges of GPU Computing Hammerspace, a pioneer in data orchestration, recently announced a significant advancement in its Global Data Platform during the 56th IT Press Tour. With the addition of the S3 interface, Hammerspace now enables S3 applications to seamlessly connect and leverage its automated data orchestration capabilities. This enhancement allows object data to be efficiently orchestrated to GPU resources alongside existing file data, unlocking new possibilities for organizations looking to optimize their data management and accelerate innovation. According to Hammerspace Founder and CEO David Flynn, enterprises face major challenges when adopting GPU computing for AI, machine learning, and data analytics. One of the biggest hurdles is accessing available GPUs, whether in an organization's own data centers or in the cloud. An even greater challenge lies in identifying relevant data sets and placing that data in proximity to the compute resources.

Mastering System Design: A Comprehensive Guide to System Scaling for Millions, Part 2

Aggregated on: 2024-06-27 13:53:16

In the first part of our system design series, we introduced MarsExpress, a fictional startup tackling the challenge of scaling from a local entity to a global presence. We explored the initial steps of transitioning from a monolithic architecture to a scalable solution, setting the stage for future growth. As we continue this journey, Part 2 focuses on the critical role of the caching layer. We’ll delve into the technological strategies and architectural decisions essential for implementing effective caching, which are crucial for handling millions of users efficiently. architectural decisions pivotal for scaling to meet the demands of millions.

The Role of AI in Low- and No-Code Development

Aggregated on: 2024-06-27 11:38:16

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, Low-Code Development: Elevating the Engineering Experience With Low and No Code. The advent of large language models (LLMs) has led to a rush to shoehorn artificial intelligence (AI) into every product that makes sense, as well as into quite a few that don't. But there is one area where AI has already proven to be a powerful and useful addition: low- and no-code software development.

Building Kafka Producer With Spring Boot

Aggregated on: 2024-06-26 23:53:15

In this article, I am going to show you how to build Message Publisher using Apache Kafka and Spring Boot. First, we will talk about what Apache Kafka is. Apache Kafka is an open-source, distributed streaming platform designed for real-time event processing. It provides a reliable, scalable, and fault-tolerant way to handle large volumes of data streams. Kafka allows you to publish and subscribe to data topics, making it ideal for building event-driven applications, log aggregation, and data pipelines.