News Aggregator

The State of Data Streaming With Apache Kafka and Flink in the Gaming Industry

Aggregated on: 2024-01-26 20:46:58

This blog post explores the state of data streaming for the gaming industry in 2023. The evolution of casual and online games, Esports, social platforms, gambling, and new business models require a reliable global data infrastructure, real-time end-to-end observability, fast time-to-market for new features, and integration with pioneering technologies like AI/machine learning, virtual reality, and cryptocurrencies. Data streaming allows integrating and correlating data in real-time at any scale to improve most business processes in the gaming sector much more cost-efficiently. I look at game industry trends to explore how data streaming helps as a business enabler, including customer stories from Kakao Games, Mobile Premier League (MLP), Demonware / Blizzard, and more. A complete slide deck and on-demand video recording are included.

A Framework for Maintaining Code Security With AI Coding Assistants

Aggregated on: 2024-01-26 20:31:57

Over the past few years, AI has steadily worked its way into almost every part of the global economy. Email programs use it to correct grammar and spelling on the fly and suggest entire sentences to round out each message. Digital assistants use it to provide a human-like conversational interface for users. You encounter it when you reach out to any business's contact center. You can even have your phone use AI to wait on hold for you when you exhaust the automated support options and need a live agent instead. It's no wonder, then, that AI is also already present in the average software developer's toolkit. Today, there are countless AI coding assistants available that promise to lighten developers' loads. According to their creators, the tools should help software developers and teams work faster and produce more predictable product outcomes. However, they do something less desirable, too—introduce security flaws.

Mastering Data Integration: Enhancing Business Efficiency

Aggregated on: 2024-01-26 18:16:57

With more data comes greater responsibility for managing it optimally. After all, it's the heartbeat of any surviving business. A data integration strategy involves collecting, managing, and consuming it for analytical success. That being said, it's not only about piecing the data sets together. Rather, it’s the official roadmap of disparate sources communicating with each other to produce valuable insights. The right data integration strategy is essential for locking consistency, accuracy, and reliability, enabling futuristic decision-making. Without the same, enterprises fall prey to inaccurate data that can have critical implications for the business.

Consistent Change Data Capture Across Multiple Tables

Aggregated on: 2024-01-26 17:31:57

Change data capture (CDC) is a widely adopted pattern to move data across systems. While the basic principle works well on small single-table use cases, things get complicated when we need to take into account consistency when information spans multiple tables. In cases like this, creating multiple 1-1 CDC flows is not enough to guarantee a consistent view of the data in the database because each table is tracked separately. Aligning data with transaction boundaries becomes a hard and error-prone problem to solve once the data leaves the database. This tutorial shows how to use PostgreSQL logical decoding, the outbox pattern, and Debezium to propagate a consistent view of a dataset spanning over multiple tables.

Keeping Your Fonts in Embedded SVG

Aggregated on: 2024-01-26 17:16:57

Last year, I started to use Excalidraw as a diagram tool. However, the SVG images didn't display the font correctly. In this post, I'd like to explain the problem and offer a solution. Let's create a sample drawing with Excalidraw. If you open the link, it should look something like this:

MuleSoft Integrate With ServiceNow

Aggregated on: 2024-01-26 17:16:57

This article explains how to define a robust API that serves the E2E feature of a ServiceNow incident management lifecycle using the MuleSoft ServiceNow connector. Here, the basic CRUD operations are covered; we can extend it with additional features like uploading/downloading incident files, getting the incident assigned group/people, keeping track of each incident, etc.

Enhancing Operational Efficiency of Legacy Batch Systems: An All-Encompassing Manual

Aggregated on: 2024-01-26 16:46:57

In the ever-changing realm of modern business practices, ensuring the successful execution of batch jobs is vital for activities like data processing, system upkeep, and the general workflow of the organization. However, unforeseen disruptions, system malfunctions, or errors can hinder these batch processes, creating operational hurdles and jeopardizing data integrity. A groundbreaking approach, as outlined in innovation – Patent US1036596B1, has been introduced to address this challenge. Understanding Batch Systems and Challenges Batch jobs involve sequences of operations executed without direct user involvement. Traditionally, data pipelines have been established to ensure synchronization between online transaction processing (OLTP) and backend systems, such as Mainframes. In this configuration, one system generates a file, and the other processes it, maintaining synchronization between OLTP and backend systems. However, this setup is prone to failures due to factors like files getting stuck in the transfer process, delayed file arrivals, or data format errors resulting from manual input. Recovering from these failures manually can be a time-consuming process, resulting in downtime and the potential for data inconsistencies.

Building a Real-Time Ad Server With Dragonfly

Aggregated on: 2024-01-26 16:31:57

Ad-serving systems frequently need to accommodate millions, or even billions, of requests daily, constructing and delivering personalized ads within just a few milliseconds. Beyond handling the substantial daily volume of requests, these platforms must be capable of managing spiky traffic with sudden surges in user activity as well. In this blog post, we will construct a real-time ad cache server utilizing the cutting-edge technologies of Bun, ElysiaJS, and Dragonfly. Not just for the enjoyment of exploring new tools, but also to leverage their exceptional developer experience and performance capabilities. Let's take a brief look at the technologies we will be using in this post:

AnyLang: A Lightweight, Multi-Script Solution

Aggregated on: 2024-01-26 16:16:57

Though we recommend going through the previous article by the authors to understand the motivation behind this one, let us brief it here. Business rules and managing them are crucial in enterprise applications. A business rule may be perceived as an action taken by a decision and mostly are IF-ELSE branches that describe how the business must function. While a number of free and solutions, such as JRule, IBM Drools, Blaze (FICO), Oracle Rules SDK etc. already exist with highly sophisticated features, often their licensing and maintenance become a lingering burden, moreover when the product is underutilized. Nowadays, thanks to the growing popularity of microservices, development teams are often small, and a member might wear multiple hats. Writing and maintaining rules and rule engines, therefore, may be carried out by different members and teams. Business Rule Engines come with their respective learning curve, and it’s difficult to always have a person with the right skill set in the team solely for managing a BRMS. To mitigate this gap, we need the flexibility to use different programming languages, at least the common ones. This article illustrates how a low–cost, lightweight solution helps here with the flexibility to create rules in a programming language of one’s choice (currently, support for Java, JavsScript, and Pyhton is available). It also helps abstract the storage of rules, which can be literally anywhere — from local file systems to cloud storage, databases, CMS, etc.

How Platform Engineering Helps in Developer Productivity

Aggregated on: 2024-01-26 15:46:57

Are you tired of your development team spending countless hours on repetitive tasks instead of focusing on innovation? Are you looking for a solution that can boost their productivity while reducing business costs? Look no further than platform engineering! In this blog post, we will explore how platform engineering revolutionizes the way developers work, enabling them to unleash their full potential and create amazing products. Join us as we witness increased efficiency, reduced downtime, and a significant drop in operational expenses through platform engineering for both developers and businesses alike. Introduction to Platform Engineering Platform engineering is not a new concept in terms of what developers have been building for end-consumers or teams creating products for developers, such as Postman and GitHub. However, in recent years, this term has become more associated with teams building platforms for internal use, bridging gaps within organizations.

Simplifying Data Management With Hammerspace

Aggregated on: 2024-01-26 15:46:57

Data management complexity continues to grow as organizations adopt hybrid cloud strategies, manage greater data volumes, and implement emerging technologies like AI and machine learning. This places significant burdens on developers, engineers, and architects who get bogged down with tedious, manual data management tasks. Hammerspace aims to alleviate these challenges with its innovative data management platform. During the 53rd IT Press Tour, I spoke with David Flynn, Founder and CEO of Hammerspace, to understand how the platform simplifies data management for technical professionals. Here are the key takeaways that developers, engineers, and architects should know.

Client-Side Challenges in Developing Mobile Applications for Large User Bases

Aggregated on: 2024-01-26 15:46:57

The landscape of mobile app development for applications with massive user bases, such as social media apps, e-commerce platforms, and streaming services, is fraught with client-side challenges. These challenges range from ensuring smooth performance and intuitive user interfaces to managing data efficiently on the client side. Addressing these issues is essential for the success of these applications, as they directly impact user satisfaction and retention. Key Challenges and Solutions Performance Optimization For applications that boast a substantial user base, high performance is an absolute necessity. Problems such as sluggish response times and sudden app crashes can significantly contribute to a decline in user satisfaction and potentially lead to a decrease in user retention. Potential solutions to mitigate this challenge are:

Seven Blockers From Being Senior Software Engineer

Aggregated on: 2024-01-26 13:46:57

In the previous article (Rethinking of Software Engineer Levels), I introduced a more accurate grade scale (more transparent, experience-based, and relevant for a particular company). This one partially covers transitions from random solutions to simple ones, from tasks to streams of activities. I will cover what seven habits you might have in your work that stop you from being a real senior software engineer (SWE) or "Simple-Way Complex Problem Solver" and what does not allow you to break the glass roof. 1. CV-Driven Design Have you ever seen people who try to apply new and fancy technologies to real products without any relevant experience? That might not bring any real value, creating another technology stack inside one company to maintain and dilute the quality of implementation. This habit is dangerous because you get used to checking technologies in an environment where it is extremely hard to replace something and must be maintained long-term.

How To Back Up and Restore Azure SQL Databases

Aggregated on: 2024-01-26 12:16:57

Microsoft's Azure provides many services via a single cloud, which lets them offer one solution for multiple corporate infrastructures. Development teams often use Azure because they value the opportunity to run SQL databases in the cloud and complete simple operations via the Azure portal. But you'll need to have a way to back up your data, as it's crucial to ensuring the functionality of the production site and the stability of everyday workflows. So, creating Azure SQL backups can help you and your team avoid data loss emergencies and have the shortest possible downtime while maintaining control over the infrastructure.

Designing a Scalable and Fault-Tolerant Messaging System for Distributed Applications

Aggregated on: 2024-01-26 12:16:57

Building a strong messaging system is critical in the world of distributed systems for seamless communication between multiple components. A messaging system serves as a backbone, allowing information transmission between different services or modules in a distributed architecture. However, maintaining scalability and fault tolerance in this system is a difficult but necessary task. A distributed application’s complicated tapestry strongly relies on its messaging system's durability and reliability. The cornerstone is a well-designed and painstakingly built messaging system, which allows for smooth communication and data exchange across diverse components. Following an examination of the key design concepts and considerations in developing a scalable and fault-tolerant messaging system, it is clear that the conclusion of these principles has a substantial influence on the success and efficiency of the distributed architecture.

Understanding Network Address Translation (NAT) in Networking: A Comprehensive Guide

Aggregated on: 2024-01-25 20:31:57

Network Address Translation (NAT) is critical in allowing communication between devices in the contemporary networking world. NAT is a crucial technology that allows several devices on a network to share a single public IP address, efficiently regulating network traffic distribution. This page looks into NAT, explaining its mechanics, kinds, advantages, and significance in building our linked digital world. Network Address Translation (NAT) is a fundamental networking technique that provides several benefits such as improved resource utilization, greater security, easier network management, and compliance with regulatory standards. Its capacity to save public IP addresses, provide security through obscurity, and enable flexible network architecture highlights its importance in the linked digital ecosystem.

Data Life With Algorithms

Aggregated on: 2024-01-25 20:31:57

Data is the lifeblood of the digital age. Algorithms collect, store, process, and analyze it to create new insights and value. The data life cycle is the process by which data is created, used, and disposed of. It typically includes the following stages:

Mastering Event-Driven Autoscaling in Kubernetes Environments Using KEDA

Aggregated on: 2024-01-25 19:46:57

In today’s rapidly evolving technology landscape, the ability to efficiently manage resources in cloud-native environments is crucial. Kubernetes has emerged as the de facto standard for orchestrating containerized applications. However, as we delve deeper into the realms of cloud computing, the need for more advanced and dynamic scaling solutions becomes evident. This is where Kubernetes-based Event-Driven Autoscaling (KEDA) plays a pivotal role. What Is KEDA? KEDA is an open-source project that extends Kubernetes capabilities to provide event-driven autoscaling. Unlike traditional horizontal pod auto scalers that scale based on CPU or memory usage, KEDA reacts to events from various sources like Kafka, RabbitMQ, Azure Service Bus, AWS SQS, etc. This makes it an ideal tool for applications that need to scale based on the volume of messages or events they process.

Safeguarding Privacy: A Developer's Guide to Detecting and Redacting PII With AI-Based Solutions

Aggregated on: 2024-01-25 19:46:57

PII and Its Importance in Data Privacy In today's digital world, protecting personal information is of primary importance. As more organizations allow their employees to interact with AI interfaces for faster productivity gains, there is a growing risk of privacy breaches and misuse of personally identifiable information like names, addresses, social security numbers, email addresses, and more. Unauthorized exposure or misuse of Personally Identifiable Information (PII) can have severe consequences, such as identity theft, financial fraud, and massive damage to a company's reputation. Developers must, therefore, implement effective measures to detect and redact PII from their databases to comply with data protection regulations and ensure privacy.

GitOps for Seamless Software Deployment

Aggregated on: 2024-01-25 19:31:57

In the ever-evolving landscape of software deployment, GitOps has emerged as a game-changer, streamlining the journey from code to cloud. This article will explore GitOps using ArgoCD, a prominent GitOps operator, focusing on two repositories: the application repository gitops-apps-hello and the source of truth repository gitops-k8s-apps. We'll delve into setting up a workflow that integrates these repositories with ArgoCD for seamless deployment. Fork these repos and replace the references in the below article to experiment on your own. Understanding GitOps With ArgoCD GitOps is more than just a buzzword; it's a paradigm that leverages Git as the single source of truth for infrastructure and application configurations. Integrating GitOps with ArgoCD enhances the deployment process offering a robust solution for managing Kubernetes clusters.

Creating an Effective Enterprise Testing Strategy: Best Practices and Considerations

Aggregated on: 2024-01-25 19:31:57

In today’s competitive landscape, enterprises are constantly striving for greater efficiency and agility. Achieving such improvements often requires modernizing applications and adopting innovative technologies. These applications not only facilitate seamless operations but also forge connections between businesses, customers, and vendors, and ensure employee collaboration and alignment. This comprehensive guide explores the intricacies of enterprise software testing, unveiling its key aspects and equipping you with the knowledge to navigate its complex landscape. What Is Enterprise Testing and Why Is It Important? Enterprise testing refers to the process of ensuring the quality, performance, and security of software systems and applications in large-scale organizations. It goes beyond basic testing and focuses on ensuring that applications are thoroughly tested to maintain optimal performance, security, and user experience.

Monitoring Dynamic Linker Hijacking With eBPF

Aggregated on: 2024-01-25 18:46:57

Extended Berkeley Packet Filter (eBPF) is a programming technology designed for the Linux operating system (OS) kernel space, enabling developers to create efficient, secure, and non-intrusive programs. Unlike its predecessor, the Berkeley Packet Filter (BPF), eBPF allows the execution of sandboxed programs in privileged contexts, such as the OS kernel, without the need to modify kernel source code or disrupt overall program execution. This technology expands the features of existing software at runtime, facilitating tasks like packet filtering, high-performance analyses, and the implementation of firewalls and debugging protocols in both on-site data centers and cloud-native environments. While Dynamic Linker Hijacking is frequently utilized by malware to establish persistence on a system, eBPF can effectively monitor attempts of Dynamic Linker Hijacking, with a specific emphasis on modifications to the /etc/ld.so.preload file. We'll showcase the usage of eBPF to intercept relevant syscalls and explain how preloaded libraries are typically used by malware to inject arbitrary code into the execution flow of trusted programs.

Securing the Digital Frontline: Advanced Cybersecurity Strategies for Modern Web Development

Aggregated on: 2024-01-25 18:46:57

Websites and web applications are more than just digital interfaces; they are gateways through which sensitive data, personal information, and critical business operations flow. As such, ensuring their security is paramount. The landscape of cybersecurity is not static; it's a constantly evolving battleground where new threats emerge as swiftly as the technologies designed to thwart them. The evolution of cyber threats has been marked by increasing sophistication and complexity. Gone are the days when simple firewalls and basic security protocols were sufficient. Modern web developers must not only be adept at creating functional and aesthetically pleasing websites but also be vigilant guardians of security. They face challenges ranging from SQL injection and Cross-Site Scripting (XSS) to more advanced threats like ransomware attacks and sophisticated phishing schemes.

Platform Engineering: Building Cloud-Agnostic Solutions With Kubernetes

Aggregated on: 2024-01-25 18:16:57

Welcome to the exciting world of platform engineering, where innovation and adaptability reign supreme! In this ever-evolving digital landscape, businesses are constantly seeking ways to optimize their operations and stay ahead of the curve. One key aspect of achieving this is building cloud-agnostic solutions that offer unparalleled flexibility in choosing cloud providers. Enter Kubernetes, a revolutionary open-source container orchestration platform that has taken the tech industry by storm. With its robust capabilities and seamless integration with multiple cloud platforms, Kubernetes empowers organizations to harness the full potential of their applications while effortlessly traversing different cloud environments. In this article, we'll dive into the concept of cloud-agnostic platforms and explore how Kubernetes can be your secret weapon in achieving true infrastructure independence. So fasten your seatbelts as we embark on an exhilarating journey through the realm of platform engineering with Kubernetes at our side!

Make Your Backstage Templates Resilient

Aggregated on: 2024-01-25 17:31:57

I suppose that you are a user of Backstage and have your own templates that automate some repetitive and/or complicated flows of your organization. Some of your templates take a long time to be executed. For example, you provision your infrastructure, and your template guards the process along the way. Now, you are happy that you provided your engineers with these templates to lessen their burden, but you have to be careful with redeploying Backstage because you might fail ongoing tasks and make your engineers angry. Here, I’ll explain what actions you can follow from release v1.23.0-next.0 to make your templates resilient to redeployment or any accidental server failures.

The Role of IoT-Enabled Predictive Maintenance in Enhancing Operational Efficiency

Aggregated on: 2024-01-25 17:31:57

In today’s fast-paced business landscape, operational efficiency is critical for maintaining competitiveness. Unplanned equipment failures and downtime can significantly impact productivity and profitability. This is where the power of the Internet of Things (IoT) comes into play. Understanding Predictive Maintenance: Predictive maintenance is a method used to assess the state of equipment currently in use and predict when maintenance needs to be done. This approach promises cost reductions compared to time-based or routine-based preventative maintenance. It involves real-time analytics technology, sensors, and data analysis to pinpoint equipment issues before they lead to breakdowns. The Role of IoT in Predictive Maintenance: IoT plays a crucial role in predictive maintenance by processing massive amounts of data and running complex algorithms, tasks that local SCADA (Supervisory Control and Data Acquisition) implementations cannot efficiently handle. With IoT, sensor-based data is wirelessly sent to cloud-based storage for real-time insights, unlocking the full potential of predictive maintenance. IoT predictive maintenance systems are easily scalable, adaptable, and user-friendly. They allow for seamless integration of additional equipment and sensor replacements, ensuring continuous data transmission.

Architecting High-Performance Supercomputers for Tomorrow's Challenges

Aggregated on: 2024-01-25 16:31:57

Since the 1940s, neural networks have evolved significantly, from the early concepts of McCulloch and Pitts to Frank Rosenblatt's perceptron in the 1950s. Major advancements in the late 20th century, like the development of the Backpropagation method, set the stage for modern deep learning. The introduction of the transformer architecture in 2017's "Attention is All You Need" by Google researchers marked a turning point in Natural Language Processing (NLP), leading to the development of powerful models like BERT and GPT. In 2020, OpenAI's introduction of GPT-3, a model with 175 billion parameters, exemplified the need for high-performance computing. Training such massive models required advanced GPU or TPU clusters and immense computational resources, highlighting the evolving challenges in supercomputing architecture for AI development.

Scaling Real-Time Leaderboards With Dragonfly

Aggregated on: 2024-01-25 16:16:57

In today's digital age, leaderboards have become an integral part of many applications, providing a dynamic way to display user scores and rankings. To build gamification features for any application (i.e., games, educational platforms), leaderboards serve as a powerful tool to engage and motivate users. In this blog post, we're going to delve into the process of building a practical and realistic leaderboard system. Our journey will involve leveraging the capabilities of Dragonfly, a highly efficient drop-in replacement for Redis, known for its ultra-high throughput and multi-threaded shared-nothing architecture. Specifically, we'll be utilizing two of Dragonfly's data types: Sorted-Set and Hash. These data structures are perfect for handling real-time data and ranking systems, making them ideal for our leaderboards.

Learning To Test in the Metaverse

Aggregated on: 2024-01-25 16:16:57

The Metaverse promises a new kind of internet capable of integrating real-world events and online sources into a seamless user experience. While it's often billed as 'just' a VR concept to users, it's something far more complex and interesting to technology companies and developers with an eye on the future. The concepts offered as part of the Metaverse's future offerings could solve some of the web's biggest challenges. Improved interactions, identity verifications, and transactions that span both virtual and physical worlds will change how we think about the web from the ground up. However, each of these tasks raises enormous practical challenges for the designers, developers, and engineers tasked with building it.

How To Maximize Your Cloud Investments With AWS Cost Optimization Services

Aggregated on: 2024-01-25 15:46:57

Cloud computing has transformed the way businesses operate. It has allowed organizations to quickly scale up or down, improving agility and reducing costs. However, while the cloud offers many benefits, it can also be easy to overspend on cloud resources if not managed properly. In the world of cloud computing, Amazon Web Services (AWS) has become a leading provider of infrastructure-as-a-service (IaaS) solutions. With AWS, businesses can leverage scalable, flexible, and cost-effective computing resources to support their operations. However, as the complexity and scale of AWS deployments grow, so do the associated costs.

Repository and Metadata Backup, Disaster Recovery, And Compliance: The Unbreakable Trio

Aggregated on: 2024-01-25 15:31:57

Who said that there is no link between backup and compliance? Why should you have a compliant backup? What is more, why a Disaster Recovery is an inalienable part of a company’s compliance? What place here is given to Disaster Recovery? All those questions are better to consider when you deal with a company that works with any kind of data, especially critical ones. Every day, businesses face different challenges, and they should find the solution as fast as possible. In most cases, when we speak about DevOps or IT societies, backup is crucial.

Ensuring a Seamless App Cloud Migration: A Comprehensive Checklist From a Technological Angle (Part One)

Aggregated on: 2024-01-25 15:16:57

App migration to cloud services yields many benefits, including reduced cost, agility, high scalability, efficiency improvements, and, for the most part, better system performance. Cloud computing today seems to be the future for most applications. Nevertheless, the cloud isn’t a one-size-fits-all solution. Each organization relies on a unique infrastructure with applications, systems, and platforms to drive its operations. Thus, verifying that your applications are ready for the cloud migration process is essential.

Exploring the Expansive Applications of Large Visual Models in Artificial Intelligence

Aggregated on: 2024-01-25 15:16:57

Large Visual Models (LVMs) have altered the artificial intelligence environment, allowing machines to grasp and analyze visual input with remarkable precision. Their influence extends across several industries, bringing in breakthrough applications and improvements. Transforming Industries With Large Visual Models (LVMs) Large Visual Models (LVMs) are at the forefront of revolutionizing various industries, bringing forth transformative advancements in visual understanding and analysis. Their profound impact spans across diverse domains, reshaping industries and unlocking new possibilities for applications.

Comprehensive Gun Detection for Schools: An AI-Based Approach Leveraging Audio and Video Insights

Aggregated on: 2024-01-25 14:46:57

This article discusses a new approach to detecting guns in educational institutions by leveraging visual and auditory cues. The system below combines YOLOv7 for image recognition and pyAudioAnalysis for audio analysis to identify guns visually and discern gun-related sounds. The aim is to create a comprehensive security framework that can detect possible threats and ensure the safety of schools in a constantly changing security landscape. Unified Approach: Merging Visual and Auditory Cues Visual: Gun Detection Approaches Image-Based Gun Detection With YOLO (You Only Look Once) In 2016, Joseph Redmon and Santosh Divvala introduced YOLO (You Only Look Once), a one-stage object detection system that stands out for its image-based gun detection feature. YOLO works by dividing the input image into a grid and efficiently predicting bounding boxes and class probabilities. It is versatile in handling objects of different scales and is suitable for time-sensitive applications due to its real-time processing capability.

Mastering Exception Handling in Java CompletableFuture: Insights and Examples

Aggregated on: 2024-01-25 14:46:57

Java CompletableFuture is a versatile tool for writing asynchronous, non-blocking code. While CompletableFuture simplifies many aspects of concurrent programming, it's crucial to understand how to handle exceptions effectively. In this article, we'll explore the ins and outs of handling exceptions in CompletableFuture, providing insights and real-world examples. Exception Handling Basics Exception handling is essential in CompletableFuture-based applications to gracefully deal with unexpected errors that might occur during asynchronous tasks. CompletableFuture provides several methods to facilitate exception handling.

How To Start With Low Coding: Expert’s Guide on Developing Business Applications With SAP Build Apps

Aggregated on: 2024-01-25 14:46:57

However, these intricacies are encapsulated behind the scenes with SAP Build Apps. Regardless of their coding expertise, users can leverage intuitive visual interfaces to rapidly build applications. In this article, we’ll delve into the details of low coding, discover what SAP Build Apps is, and examine practical technology applications in business.

Cross-Platform Mobile Application Development: Evaluating Flutter, React Native, HTML5, Xamarin, and Other Frameworks

Aggregated on: 2024-01-25 14:31:57

In the rapidly evolving domain of mobile application development, the choice of the right framework is crucial for the success of a project. Cross-platform development frameworks like Flutter, React Native, HTML5, and Xamarin have gained popularity due to their ability to facilitate the development of apps that work across multiple mobile platforms. This essay provides an evaluation of these frameworks, discussing their pros and cons, and offering insights into when to use each. Flutter Flutter, an open-source User Interface (UI) software development kit, was masterfully developed by Google. Its primary purpose is to facilitate the creation of natively compiled applications that can seamlessly function across mobile, web, and desktop platforms, all from a singular codebase.

ERP vs. CRM: Difference, Benefits, Drawbacks, and Tips for Integration

Aggregated on: 2024-01-25 13:31:57

After learning the high cost of hiring skilled professionals from the market, businesses have realized the importance of increasing productivity through existing employees, which can lead to upsurged revenue generation down the line. But the question comes, is that a viable option to implement? Well, if you listen to some industry experts out there, they will suggest choosing automation instead of pressuring your loyal workers to boost organizational productivity. Yes, CRM and ERP are two such applications that can help automate key workflows in your entity. But the query surfaces: what are they, and what is the difference between ERP and CRM? You will deeply learn about both these things in this prose today. So, let’s go further with: What Is CRM? CRM stands for Customer Relationship Management, which is an enterprise-oriented software, coming in handy in automating how a consumer interacts with your business. It is just a part of a massive set of customer experience applications that may feature solutions for:

Simplify Data Management With Rimage’s AI-Powered Platform

Aggregated on: 2024-01-25 12:31:57

Data management can be tedious and time-consuming for developers, engineers, and architects. As data volumes grow exponentially, organizations struggle to store, organize, govern, and extract value from their data. Manually managing these processes takes valuable time away from focusing on core development responsibilities. The 53rd IT Press Tour met with Rimage to learn about its innovative solution to simplify data management. Its AI-powered data management platform streamlines the entire data lifecycle — from ingestion to archival and everything in between. Here's an overview of Rimage and the key benefits it provides for developers, engineers, and architects.

Beyond Data Silos: Data Mesh - Game Changer for Enterprises

Aggregated on: 2024-01-25 12:31:57

In today's data-driven world, organizations are grappling with managing the ever-increasing volume of data they collect. In order to derive insights and make informed decisions, businesses must break down data silos and create a unified view of their data. This is where Data Mesh comes in - a revolutionary new approach to data architecture that is changing the game for enterprises. What is Data Mesh?

Apache Druid: A Hybrid Data Warehouse for Fast Analytics

Aggregated on: 2024-01-25 05:16:57

Hybrid data warehouses can both ingest and process data in real-time as streams and store and query this data in table formats. This dual functionality allows for low latency and high throughput in data processing, accommodating both streaming and batch analytics. Examples of such hybrid data warehouses include Apache Druid and Delta Lake. These technologies employ various methods like columnar storage, indexing, caching, and concurrency control to facilitate real-time data warehousing. Nonetheless, depending on their specific implementation and the use case, they may present complexity, reliability, or consistency challenges. As real-time data becomes increasingly critical in data engineering and analytics, choosing an appropriate data warehouse technology hinges on multiple factors. These include the data's volume, velocity, variety, and value, business needs, budget constraints, and available expertise. A thorough understanding of the strengths and limitations of each option can guide you in making a well-informed decision for constructing a robust and efficient data warehouse tailored to your real-time data requirements.

How To Manage Decision Fatigue in Remote Software Development

Aggregated on: 2024-01-24 20:31:57

The shift to remote work has brought many benefits, but it also comes with its own set of challenges, particularly in the realm of decision-making. This guide aims to delve into one such challenge: decision fatigue, a phenomenon increasingly prevalent in the world of remote software development. Decision fatigue refers to the deteriorating quality of decisions made by an individual after a long decision-making session. In the context of software development, this can manifest as reduced efficiency in coding, difficulty in troubleshooting, or challenges in prioritizing tasks. Unlike physical exhaustion, decision fatigue affects cognitive abilities, leading to procrastination, impulsivity, or avoidance of decision-making.

Simplifying Data Management: How StorageX Uses AI To Help Developers

Aggregated on: 2024-01-24 20:31:57

Data volumes are exploding. As developers build ever more complex applications powered by technologies like artificial intelligence and machine learning, the data demands continue to grow staggeringly. IDC predicts that by 2025, the global datasphere will reach 175 zettabytes. Meeting these massive data demands is an increasingly complex challenge, especially for developers. Managing enormous volumes of structured and unstructured data across on-premise and multi-cloud environments has become an unwieldy task that eats into the time developers spend building applications. Data needs to be stored, secured, accessed, analyzed, and processed quickly to power today's data-driven applications. Doing this efficiently at scale is no easy feat.

Distributed Computing Simplified

Aggregated on: 2024-01-24 20:31:57

Distributed computing, also known as distributed processing, involves connecting numerous computer servers through a network to form a cluster. This cluster, known as a "distributed system," enables the sharing of data and coordinating processing power. Distributed computing provides many benefits, such as: Scalability utilizing a "scale-out architecture" Enhanced performance leveraging parallelism Increased resilience by employing redundancy Cost-effectiveness by utilizing low-cost, commodity hardware There are two main advantages of distributed computing:

Getting Started With Spring AI and PostgreSQL PGVector

Aggregated on: 2024-01-24 20:16:57

The Spring AI is a new project of the Spring ecosystem that streamlines the creation of AI applications in Java. By using Spring AI together with PostgreSQL pgvector, you can build generative AI applications that draw insights from your data. First, this article introduces you to the Spring AI ChatClient that uses the OpenAI GPT-4 model to generate recommendations based on user prompts. Next, the article shows how to deploy PostgreSQL with the PGVector extension and perform vector similarity searches using the Spring AI EmbeddingClient and Spring JdbcClient.

Could a Scrum GPT Challenge Scrum Masters?

Aggregated on: 2024-01-24 19:46:57

The Rise of the Scrum GPT Fewer Jobs for Scrum Masters, and now we see the universal Scrum GPT entering the competition: Will Scrum Masters change from essential practitioners to a niche role? The job market is currently challenging for many agile practitioners, particularly Scrum Masters. Many are looking for new opportunities, while an increasing number of organizations consider the benefits they contribute to a team’s overall success. This is not just reflected in fewer job offerings for Scrum Masters; we also observe the demand for training significantly reduced.

Querydsl vs. JPA Criteria, Part 6: Upgrade Guide To Spring Boot 3.2 for Spring Data JPA and Querydsl Project

Aggregated on: 2024-01-24 19:46:57

Last year, I wrote the article, "Upgrade Guide To Spring Boot 3.0 for Spring Data JPA and Querydsl," for the Spring Boot 3.0.x upgrade. Now, we have Spring Boot 3.2. Let's see two issues you might deal with when upgrading to Spring Boot 3.2.2. The technologies used in the SAT project are:

Agile Methodologies for Edge Computing in IoT

Aggregated on: 2024-01-24 19:16:56

In the fast-evolving landscape of the Internet of Things (IoT), edge computing has emerged as a critical component. By processing data closer to where it's generated, edge computing offers enhanced speed and reduced latency, making it indispensable for IoT applications. However, developing and deploying IoT solutions that leverage edge computing can be complex and challenging. Agile methodologies, known for their flexibility and efficiency, can play a pivotal role in streamlining this process. This article explores how Agile practices can be adapted for IoT projects utilizing edge computing in conjunction with cloud computing, focusing on optimizing the rapid development and deployment cycle. Agile in IoT Agile methodologies, with their iterative and incremental approach, are well-suited for the dynamic nature of IoT projects. They allow for continuous adaptation to changing requirements and rapid problem-solving, which is crucial in the IoT landscape where technologies and user needs evolve quickly.

Rethinking of Software Engineer Levels

Aggregated on: 2024-01-24 18:46:57

Junior, Middle, and Senior are how a Software Engineer (SWE) career looks, right? But what does this mean? Different companies have different definitions, so borders are blurred. In this article, I’m going to share with you my considerations regarding levels in software engineering and try to rethink what the path might look like. A kind of disclaimer: this is only my vision and not the ultimate truth, so I’m happy to hear your feedback. What Is Wrong With Current Levels They are polysemantic. From what I can see on the market, from my experience, and those I tracked, different companies have different definitions of Junior/Middle/Senior engineers. Some of them have even more: Staff, Principal, and Distinguished engineers to have a better expression of seniority of highly experienced individual contributors. One of the key problems with “Senior SWE” is that people with absolutely different experiences might get this title. Technically, a Senior Mobile Engineer is not the same as a Senior Frontend Engineer or a Senior Backend Engineer. There are different specializations, and in general, that would not be correct to move from SME to SBE without any downgrade, but why? Logic dictates soft skills are the same, and life experience is the same as well (because it is still the same person). Only one thing changed - the ability to solve problems. You might be an extremely experienced Mobile Developer, but you have never solved issues within a web browser, problems with distributed systems, etc. So, let me take this particular criterion as a separator between levels. The first milestone is simple problem-solving.

AI/Machine Learning Techniques: The Cheat Sheet

Aggregated on: 2024-01-24 17:16:56

Welcome to a straightforward guide on machine learning. This paper is a summary that breaks down the big ideas of machine learning into easy-to-understand parts. Think of it as a quick reference or a cheat sheet that helps you come to grips with how machines learn to make sense of data, make predictions, and even create new things. We’ll look at different ways machines can be taught, how they figure out patterns on their own, and how they make smart decisions. Whether you’re new to the world of AI or just need a refresher, this paper aims to make the complex world of machine learning a little easier to navigate. Supervised Supervised Learning involves training algorithms with labeled data, where each input is paired with the correct output. This method teaches algorithms to map inputs to outputs, learning from clear examples. As it processes more data, the algorithm recognizes patterns and improves its predictions for new, unseen data.