🚀 "Upcoming #FreeDemo for #DataScience & Generative AI starting soon! 19/04/2025 @8AM 1st Enroll now to master AI & data skills. ✍️Join Link: https://meet.goto.com/142223645 📅Demo on: 19/04/2025 @8 am IST 🌟Attend an Online Free Demo on (Data science with Gen Ai) 🌟Trainer Name: Mr .vivek. 16+years Experience ☎️Contact us: +91-7032290546 📲WhatsApp: https://wa.me/c/917032290546 👉Register here: https://forms.gle/eeEnmKRnRujmT2Dq5 🌐Visit us: https://www.visualpath.in/online-data-science-with-generative-ai-course.html #FullStackAI #AIDevelopment #MachineLearning #DeepLearning #ArtificialIntelligence #AIEngineer #MERNwithAI #AIinTech #AIFullStack #AIInnovation #MERNStack #PythonAI #NodeJSwithAI #TensorFlow #PyTorch #AIinBusiness #DataScienceAI #AICloudComputing #AIStartup #AIForGood #TechForFuture #AIDevelopers #AIandML #AITrends #FutureOfAI

The Future of DevOps: Key Trends, Tools, and Technologies in 2025 The future of DevOps is shaping a new era of software development and IT operations. As we step further into 2025, the DevOps landscape is evolving rapidly, driven by advanced automation, AI-driven insights, and the growing complexity of multi-cloud environments. DevOps has always aimed to bridge the gap between development and operations, but the way this collaboration is achieved is changing dramatically. In this article, we explore the major trends, emerging tools, and game-changing technologies defining the future of DevOps. For professionals looking to keep up with these changes, enrolling in DevOps Training can be a strategic step toward mastering next-gen practices. I ntelligent Automation and AIOps One of the biggest trends in 2025 is the integration of artificial intelligence in DevOps, commonly referred to as AIOps. AIOps uses machine learning and big data to automate and improve IT operations. From predictive analytics that foresee incidents before they happen to self-healing systems that reduce downtime, AI is transforming how teams manage infrastructure and services. Automation continues to be a cornerstone of DevOps, but the automation of tomorrow is smarter, faster, and more adaptive. Continuous integration and delivery (CI/CD) pipelines are now infused with AI, making builds more stable and releases more predictable. Tools like GitHub Copilot, Jenkins X, and AI-enhanced monitoring platforms are making automation more context-aware and efficient. Cloud-Native DevOps and Kubernetes Evolution Cloud-native technologies are becoming more and more integrated into DevOps procedures. Kubernetes, once considered complex, has now matured with enhanced user interfaces, automation add-ons, and service mesh integrations like Istio and Linkerd. In 2025, organizations are embracing Kubernetes not just for container orchestration, but as a platform for building scalable, resilient systems. The adoption of multi-cloud and hybrid-cloud strategies is another defining trend. Teams are no longer confined to a single cloud provider, which brings both flexibility and complexity. DevOps in 2025 is about managing distributed environments seamlessly. Tools like Terraform, Crossplane, and Pulumi are gaining popularity for their ability to manage infrastructure across multiple cloud platforms with code. Security as a First-Class Citizen Security is no longer an afterthought in DevOps workflows. With cyber threats on the rise and compliance regulations becoming stricter, DevSecOps has become a standard. In 2025, organizations are embedding security into every stage of the development lifecycle. Automated security scanning, policy-as-code, and AI-driven threat detection tools are now integral to CI/CD processes. Security champions are also becoming more common—developers trained in security best practices who help bridge the knowledge gap between dev and security teams. Observability and Developer Experience Observability is becoming a strategic priority. It’s no longer enough to just monitor systems; teams need full visibility into logs, metrics, and traces in real-time. Tools like OpenTelemetry, Grafana, and Datadog are providing deeper insights that help teams troubleshoot faster and optimize performance. In 2025, observability is also being integrated with AI to provide proactive issue detection and resolution. Improving DevEx, or the developer experience, is at the forefront at the same time. DevOps tools are becoming more developer-friendly, with intuitive dashboards, better documentation, and integrated workflows. This ensures that developers can focus on writing code while infrastructure, security, and deployments are handled more smoothly in the background. Participating in DevOps Project Training has become an essential part of preparing developers to navigate these integrated, real-world systems confidently. Conclusion The future of DevOps in 2025 is all about smart automation, secure development, and scalable cloud-native operations. As AI, Kubernetes, and multi-cloud management continue to evolve, DevOps professionals must stay agile and adapt to these technological shifts. Embracing a DevOps culture that values collaboration, continuous improvement, and innovation will be the key to success in this dynamic landscape. Whether you're a developer, an ops engineer, or a leader driving digital transformation, the time to align with the future of DevOps is now. Trending Courses: MLOps, GCP DevOps, and Azure DevOps Visualpath is the Leading and Best Software Online Training Institute in Hyderabad. For More Information about AWS DevOps Training Contact Call/WhatsApp: +91-7032290546 Visit: https://www.visualpath.in/online-aws-devops-training.html

This Matillion Training Will Make You Unstoppable in Data Matillion Etl Training is not just a technical skill—it’s a strategic advantage in the ever-evolving world of cloud data integration. As enterprises migrate more data to cloud warehouses like Snowflake, Redshift, and BigQuery, mastering a tool like Matillion has become critical. The ability to design, automate, and manage complex data workflows is what sets a top-tier data engineer apart from the average. This article breaks down why the right Matillion training can take your career to the next level—and make you truly unstoppable in the data space. Why Matillion Is the Gold Standard in Cloud ETL Matillion is a modern, cloud-native ETL platform built for speed, scalability, and simplicity. Unlike legacy ETL tools, it’s built specifically to integrate with cloud data platforms and make the most of their computing power. It enables businesses to ingest, transform, and orchestrate data with high performance and low latency—all through an intuitive, code-optional UI. With a drag-and-drop interface and over 100 pre-built components, Matillion allows developers to focus on solving business problems rather than wrestling with infrastructure. Whether you're building a data pipeline for marketing, finance, or operations, Matillion provides the versatility and power to do it faster and better. But to truly unlock its capabilities, Matillion Training is crucial. Knowing how to use the platform effectively means more than understanding the UI—it means thinking like a data architect. How Matillion Makes You Stand Out in the Data Field Let’s face it: the data engineering job market is competitive. Everyone knows SQL. Everyone is learning Python. So how do you differentiate yourself? This is where Matillion becomes your secret weapon. Speed and Efficiency Trained Matillion users can build production-ready data pipelines in hours, not weeks. From loading data from Salesforce or Google Analytics to running complex transformations using cloud-native compute, Matillion accelerates every step. Real-World Enterprise Use Companies across finance, healthcare, retail, and tech are already investing in Matillion. Having hands-on experience and training makes you an immediate asset, someone who can plug into enterprise-grade systems and deliver results fast. Future-Proof Skills Cloud-first ETL tools like Matillion aren’t going away—they’re becoming the standard. When you invest in your Matillion education, you’re positioning yourself for long-term success in the field. What you’ll learn in a Quality Matillion Course If you’re serious about becoming unstoppable in data, you need a course that covers more than just the basics. A robust training program should offer: • Data pipeline design principles using Matillion best practices • Component mastery, including orchestration and transformation components • Version control and deployment workflows • Integration with AWS, Azure, and GCP cloud platforms • Real-time use cases that mirror enterprise problems • Hands-on labs and assessments to test your progress More importantly, a great course will teach you how to think strategically with Matillion—how to architect scalable data workflows and troubleshoot issues at a high level. Career Benefits of Matillion Expertise Let’s talk ROI. Learning Matillion isn’t just about improving your resume—it’s about making more money, landing better projects, and becoming a go-to expert. • Salary Boost: Data engineers and ETL developers with Matillion skills often command 20–30% higher salaries. • Freelance Opportunities: The demand for cloud ETL consultants is booming, and Matillion is often at the center of that demand. • Leadership Roles: Once you master Matillion, you’re in a strong position to lead data teams, manage projects, and guide architecture. Final Thoughts: This Training Will Transform Your Career There are plenty of tools in the data world, but few with the momentum and enterprise impact of Matillion. It’s fast, flexible, scalable, and designed for the modern cloud. More importantly, it’s in demand. Businesses need Matillion experts—and they need them now. If you want to future-proof your skills, increase your earning potential, and lead major cloud transformation projects, there’s one simple answer: take the training. Go deep. Get certified. This Matillion Training will make you unstoppable in data. Trending Courses: Data Science, Matillion, Mern Stack Ai, D365F&0, Visualpath is the Leading and Best Software Online Training Institute in Hyderabad. For More Information about Matillion Online Course in India Contact Call/WhatsApp: +91-7032290546 Visit: https://www.visualpath.in/matillion-online-training.html

Cryptocurrency Exchange Development Company - Touch Crypto Touch Crypto is a trusted name in cryptocurrency exchange development, delivering cutting-edge solutions tailored to meet the dynamic needs of the crypto market. From centralized and decentralized exchanges to P2P platforms and hybrid models, we specialize in crafting secure, high-performance trading environments. Our expert developers combine blockchain technology with intuitive user experiences, regulatory compliance, and top-tier security protocols to empower your crypto vision. Whether you're launching a new exchange or upgrading an existing platform, Touch Crypto ensures a seamless, scalable, and future-ready solution. Explore more - https://www.touchcrypto.org/crypto-exchange-development-company #TouchCrypto #CryptoExchangeDevelopment #BlockchainSolutions #CryptocurrencyExchange #CryptoDevelopmentCompany #CryptoTradingPlatform #Web3Development #DeFi #Fintech #DigitalAssets

OpenShift vs Kubernetes: What’s the Difference? OpenShift is a powerful enterprise-ready Kubernetes platform developed by Red Hat that enhances container orchestration with a suite of developer and operational tools. As companies move toward containerized applications, the demand for professionals with deep knowledge of container platforms is rapidly increasing. That’s why OpenShift Training is a top choice for IT professionals looking to upskill in cloud-native application deployment and orchestration. While OpenShift and Kubernetes are often mentioned together, they are not the same thing. Kubernetes is an open-source container orchestration engine, while OpenShift is a Kubernetes distribution that provides additional features for security, developer tooling, and enterprise scalability. Essentially, OpenShift builds on Kubernetes and packages it with tools that make deploying, managing, and securing containers more user-friendly—especially for enterprise environments. Core Differences Between OpenShift and Kubernetes The fundamental architecture of OpenShift is built on Kubernetes, but OpenShift delivers an opinionated setup that includes source-to-image (S2I) builds, integrated CI/CD pipelines, and a robust role-based access control (RBAC) model. Kubernetes, in contrast, is highly flexible and modular but requires more configuration and integration of third-party tools. One of the standout differences is how each handles authentication and authorization. OpenShift has built-in OAuth support and integrates easily with enterprise identity providers. Kubernetes, on the other hand, needs custom configuration for such integrations. This means that for teams looking to get started quickly with enterprise-grade security policies, OpenShift can offer a more streamlined setup. For developers, the OpenShift web console offers an intuitive user interface with project-based views and deployment options. Kubernetes typically requires users to interact with the platform using kubectl or additional UIs like Lens or Rancher. While Kubernetes provides flexibility, OpenShift focuses on productivity and governance, making it ideal for organizations with strict security and operational standards. Ecosystem and Enterprise Support The differences between OpenShift and Kubernetes become even more pronounced when considering the ecosystem and enterprise support. OpenShift is backed by Red Hat and comes with official support, making it ideal for organizations that require long-term stability, certified container images, and full-stack observability. One of OpenShift’s major advantages is the built-in CI/CD support via OpenShift Pipelines (based on Tekton) and GitOps capabilities with Argo CD. Kubernetes does not natively offer these tools but allows for third-party integrations. OpenShift’s curated ecosystem is appealing for teams that prefer a fully integrated development and operations environment out of the box. Storage and networking also show key differences. OpenShift provides a more prescriptive and managed approach to networking using Open vSwitch (OVS) and Software Defined Networking (SDN). Kubernetes gives you flexibility, but you’ll need to configure CNI plugins like Calico or Flannel yourself. This again highlights the difference in philosophy—Kubernetes offers choice and customization, while OpenShift offers convenience and support. For those looking to validate their skills, an OpenShift Certification Course can provide formal recognition of expertise. Certification ensures that learners not only understand how OpenShift builds upon Kubernetes but also can deploy, secure, and scale applications effectively in a real-world enterprise environment. Conclusion While Kubernetes is a powerful, flexible container orchestration platform, OpenShift enhances it with enterprise-ready tools, better security defaults, and integrated development features. Choosing between the two depends on your organization’s needs: Kubernetes is ideal for teams wanting full control and customization, while OpenShift is perfect for enterprises seeking a secure, streamlined, and supported solution. Understanding the strengths of each can help you pick the right tool—or blend them effectively—in your cloud-native journey. TRENDING COURSES: AWS AI, AWS DATA ENGINEERING, CYPRESS . Visualpath is the Leading and Best Software Online Training Institute in Hyderabad. For More Information about OpenShift Training Contact Call/WhatsApp: +91-7032290546 Visit: https://www.visualpath.in/openshift-online-training.html

2025 AX Guide: Understand Tables & Index Strategies Microsoft Dynamics AX training in ameerpet remains a vital ERP system in 2025. Its table structure is crucial for data integrity. Tables store all transactional, master, and reference data. Each table has a unique purpose and design. The 2025 AX Guide covers the core architecture. Tables in AX 2025 follow normalized models. This enhances data storage and reduces duplication. Relations between tables are enforced through foreign keys. Each table is defined in the AOT (Application Object Tree). Developers must understand these layers in detail. Table hierarchies remain a top design priority. Base tables handle common fields. Derived tables hold module-specific data. This supports modular development and customization. AX 2025 continues to adopt this layered table structure. Changes in 2025 emphasize better entity mapping. Microsoft has improved how tables relate in Power Platform. Data integration between AX and Dataverse has become seamless. This boosts analytics and reporting features. 2025 AX Guide on Index Concepts Indexes are the backbone of query performance. Without proper indexes, AX queries slow down. The 2025 AX Guide explores smart index strategies in 2025. Microsoft has introduced dynamic indexing in recent updates. Indexes now adapt to query patterns automatically. This reduces the need for manual tuning. Microsoft Ax training tables now support memory-optimized indexes. These indexes work well with high transaction volumes. Especially in finance and logistics modules. Each index in AX must follow best practices. Avoid wide indexes with many columns. Always place frequently filtered columns first. Clustered indexes remain default on primary keys. Non-clustered indexes should support secondary lookups. With the April 2025 release, Microsoft Ax training added index diagnostics. Developers can track index usage in real-time. This helps in removing unused indexes. It also highlights missing indexes that can improve performance. 2025 AX Guide for Index Maintenance Index maintenance is a continuous process. It ensures consistent query speed. The 2025 AX Guide suggests regular index rebuilds. Fragmentation remains a common issue. AX 2025 tools now allow automated index optimization. Index statistics are refreshed using background jobs. This improves query plans in SQL Server. The Lifecycle Services (LCS) portal now includes index reports. These reports offer insights into large table access patterns. Microsoft recommends rebuilding indexes weekly. Especially for tables with more than 10,000 rows. Developers can also enable automatic index tuning in Azure SQL. This feature auto-creates or drops indexes based on telemetry. To keep AX systems running smoothly, follow the strategies in this guide. From table structure to index tuning, every step matters. With the right approach, Dynamics AX 2025 becomes faster and more reliable. For long-term ERP success, mastering tables and indexes is a must. Stay updated with Microsoft releases. Use built-in tools and follow performance best practices. The 2025 AX Guide is your go-to resource for mastering these essentials. Trending Courses: Snowflake Course, Sailpoint Identity IQ, Dynamics 365 Supply Chain Management Visualpath is the Leading and Best Institute for learning in Hyderabad. We provide MicroSoft Dynamics Ax Training in India. You will get the best course at an affordable cost. For more Details Contact +91 7032290546 Visit: https://www.visualpath.in/online-microsoft-dynamics-ax-technical-training.html

💡 "From Zero to Hero – Master Docker and Kubernetes in Our Online New Batch!" 🔗 Join Now: https://bit.ly/3Y35cHo 👉 Meeting ID: 450 625 618 7719 👉 Passcode: tH7Hu6S7 👉 Attend Online #NewBatch from Visualpath on #DockerandKubernetes by 👨‍🏫Mr. Nikhil (Best Industry Expert). 📅 Batch ON: 22/04/2025 @8AM IST 📲 Contact us: +91 7032290546 🌐 Visit: https://www.visualpath.in/online-docker-and-kubernetes-training.html 👉 WhatsApp: https://wa.me/c/917032290546 🌐 Ready to get started? Fill out the form here: https://forms.gle/eeEnmKRnRujmT2Dq5 👥 Who Should Learn? ✅ DevOps Engineers & Cloud Professionals ✅ Software Developers & System Admins ✅ IT Graduates & Job Seekers in Tech ✅ Anyone aspiring for a career in DevOps & Cloud 📢 #Docker #k8s #multicloud #mastercloud #CKS #CKAD #CKA #Helm #onlinetraining #kubelet #dockercontainer #GitOps #ansible #DevOps #softwaretraining #Monitoring #ITSkills #Students #Education #newtechnologies #trendingcourses #handsonlearning #RealTimeProjects #Kubernetes #edtech #onlinelearning #educationreform #education

Tap into Telegram’s massive audience with Antier’s Telegram game developers expertise. Our team codes with TON blockchain, integrates viral referral systems, and ensures frictionless in-chat UX. Brands, influencers, and crypto projects. Turn chats into cash, Antier’s Telegram games go live in weeks. Connect now. Website: https://www.antiersolutions.com/telegram-game-development/

Simple Guide to Azure DevOps Pipelines Developers may automate the process of writing, testing, and deploying code with Azure DevOps Pipelines, a potent tool included in Microsoft's Azure DevOps package. This guide provides a simple and beginner-friendly overview of how Azure DevOps Pipelines work and why they are essential for modern development workflows. What Are Azure DevOps Pipelines? Azure DevOps Pipelines are automated workflows that help move your code from development to production. They take your application code from a repository (such as GitHub or Azure Repos), build it into a usable format, run tests to ensure everything works correctly, and then deploy it to various environments like development, staging, or production. Instead of performing these steps manually each time you make a change, pipelines handle everything automatically. This not only saves time but also ensures consistency and reduces the chance of human error. Types of Pipelines in Azure DevOps There are two primary types of pipelines you will encounter in Azure DevOps: 1. Build Pipelines Build pipelines are responsible for compiling your code, running unit tests, and generating build artifacts (the files needed for deployment). Through this procedure, you may be sure that your code is ready for deployment and operating properly. Azure DevOps Training Online 2. Release Pipelines Release pipelines take the build artifacts and deploy them to your environments. You can configure release pipelines to deploy to one or multiple environments, add approval gates, and monitor the deployment process. More control over the timing and manner of code release is thus possible. Benefits of Azure DevOps Pipelines Azure DevOps Pipelines offer several benefits to development teams: • Automation: Saves time by automating repetitive tasks like builds and deployments. • Speed: Helps teams deliver features and updates faster. • Consistency: Ensures the same process is followed every time code is deployed. • Error Reduction: Early problem detection is aided by automated testing and validation. • Collaboration: Makes it easier for teams to work together with clear processes. Getting Started with Azure DevOps Pipelines Here’s a simplified overview of how to create and use Azure DevOps Pipelines: Step 1: Set Up Your Project Start by signing into Azure DevOps and creating a new project. This project will serve as the home for your code and pipelines. Azure DevOps Course Step 2: Connect to Your Code Repository Azure DevOps supports multiple code sources including GitHub, Bitbucket, and Azure Repos. Choose the one that holds your code and connect it to your Azure DevOps project. Step 3: Create Your First Pipeline You can create a pipeline by navigating to the Pipelines section and choosing to create a new pipeline. Azure DevOps offers an easy setup wizard that helps you choose your repository, select the type of application you're working with, and configure the basic steps of the pipeline. Step 4: Run and Monitor Your Pipeline Once set up, your pipeline will automatically run whenever you make changes to your code. You can also manually trigger it. Azure DevOps provides detailed logs, status updates, and test results for each run, allowing you to identify and fix any issues quickly. Microsoft Azure DevOps Training Step 5: Set Up a Release Pipeline (Optional) If you want to automate deployments to environments like development or production, you can create a release pipeline. This allows you to deploy builds automatically or after approvals, depending on your needs. Tips for Success • Start Small: Begin with a simple pipeline and gradually add more steps. • Use Source Control: Store pipeline configurations in your version control system. • Automate Testing: Always include tests to catch bugs early. • Add Approvals: For sensitive environments, use manual approval steps. • Monitor Everything: Keep an eye on pipeline performance and results regularly. Conclusion Azure DevOps Pipelines offer a straightforward way to automate software development tasks. Whether you are working solo or as part of a larger team, pipelines help ensure your code is built, tested, and deployed efficiently and reliably. By using Azure DevOps Pipelines, you can reduce manual work, improve software quality, and accelerate delivery cycles—all while maintaining control and visibility throughout the process. Trending Courses: MLOps, GCP DevOps, and AWS DevOps Visualpath is the Leading and Best Software Online Training Institute in Hyderabad. For More Information about Azure DevOps Training in India Contact Call/WhatsApp: +91-7032290546 Visit: https://www.visualpath.in/online-azure-devops-Training.html

What Is Microsoft Fabric and Why Does It Matter? Microsoft Fabric is a groundbreaking data platform introduced by Microsoft to unify and simplify data management, analytics, and governance across organizations. Announced in 2023, Fabric represents a significant evolution in the way businesses handle their data infrastructure by bringing together a wide array of tools and services under one cohesive, cloud-based solution. Designed to bridge the gaps between data engineering, data science, business intelligence, and real-time analytics, Microsoft Fabric is positioned to reshape how enterprises unlock value from their data. A Unified Experience At its core, Microsoft Fabric integrates multiple data services into a single software-as-a-service (SaaS) platform. It unifies components such as data movement, data lakes, data engineering, real-time analytics, and business intelligence. This integration is made possible through a shared foundation called OneLake, a multi-cloud data lake storage system that acts as the central repository for all data across the platform. Fabric brings together technologies like Power BI, Azure Synapse Analytics, Data Factory, and Azure Data Explorer into one seamless user experience. Instead of juggling separate tools and silos, users—from data engineers to business analysts—can now collaborate within a single ecosystem. This reduces complexity, accelerates time-to-insight, and lowers operational costs. Key Features of Microsoft Fabric 1. OneLake – The Data Lake for All OneLake is the heart of Microsoft Fabric, providing a unified storage system that allows teams to access and share data effortlessly. Like OneDrive for personal files, OneLake organizes data into a single location, simplifying data governance and reducing duplication. 2. Power BI Integration Fabric is tightly integrated with Power BI, enabling real-time visualization and reporting on top of the data stored in OneLake. This makes it easier for decision-makers to derive insights without waiting for complex ETL processes or data movement. 3. Built-in Data Governance With Fabric, data governance is baked into the platform. It offers comprehensive tools for managing data access, lineage, and compliance, helping organizations stay secure and meet regulatory requirements. 4. AI-Ready Infrastructure Fabric is built to support machine learning and AI workloads natively. With built-in connectors to Azure Machine Learning and integration with Microsoft’s AI services, organizations can build, train, and deploy models directly within the platform. Microsoft Fabric Training 5. Developer-Friendly Environment Developers and data engineers benefit from Git integration, APIs, and support for multiple programming languages like SQL, Python, and Spark, making it easier to automate workflows and build custom solutions. Why Microsoft Fabric Matters In today’s data-driven world, companies are drowning in data but often struggle to derive actionable insights. Traditional data architectures are fragmented, requiring separate tools for storage, processing, analytics, and visualization. This fragmentation leads to inefficiencies, increased costs, and missed opportunities. Microsoft Fabric addresses these challenges head-on by providing a unified platform that is scalable, secure, and easy to use. It reduces the learning curve, promotes collaboration across teams, and ensures data consistency. With AI and real-time analytics baked in, Fabric empowers businesses to become more agile and informed in their decision-making. Microsoft Fabric Online Training Furthermore, for organizations already invested in the Microsoft ecosystem—such as those using Microsoft 365, Azure, or Dynamics 365—adopting Fabric is a natural extension that brings synergy and maximizes return on investment. Conclusion Microsoft Fabric is more than just another data tool—it's a reimagined, all-in-one data platform built for the future. By streamlining how data is stored, processed, analyzed, and visualized, it empowers organizations to break down silos, foster collaboration, and harness the full potential of their data. As data continues to drive business success, platforms like Microsoft Fabric are set to become essential components of the modern enterprise tech stack. Trending Courses: Gcp Ai, Unqork Training, Data Build Tool Visualpath is the Leading and Best Software Online Training Institute in Hyderabad. For More Information about Microsoft Fabric Training Contact Call/WhatsApp: +91 7032290546 Visit: https://www.visualpath.in/online-microsoft-fabric-training.html