#sql recovery tool

[teqful]

How-To IT

Topic: Core areas of IT

1. Hardware

• Computers (Desktops, Laptops, Workstations)

• Servers and Data Centers

• Networking Devices (Routers, Switches, Modems)

• Storage Devices (HDDs, SSDs, NAS)

• Peripheral Devices (Printers, Scanners, Monitors)

2. Software

• Operating Systems (Windows, Linux, macOS)

• Application Software (Office Suites, ERP, CRM)

• Development Software (IDEs, Code Libraries, APIs)

• Middleware (Integration Tools)

• Security Software (Antivirus, Firewalls, SIEM)

3. Networking and Telecommunications

• LAN/WAN Infrastructure

• Wireless Networking (Wi-Fi, 5G)

• VPNs (Virtual Private Networks)

• Communication Systems (VoIP, Email Servers)

• Internet Services

4. Data Management

• Databases (SQL, NoSQL)

• Data Warehousing

• Big Data Technologies (Hadoop, Spark)

• Backup and Recovery Systems

• Data Integration Tools

5. Cybersecurity

• Network Security

• Endpoint Protection

• Identity and Access Management (IAM)

• Threat Detection and Incident Response

• Encryption and Data Privacy

6. Software Development

• Front-End Development (UI/UX Design)

• Back-End Development

• DevOps and CI/CD Pipelines

• Mobile App Development

• Cloud-Native Development

7. Cloud Computing

• Infrastructure as a Service (IaaS)

• Platform as a Service (PaaS)

• Software as a Service (SaaS)

• Serverless Computing

• Cloud Storage and Management

8. IT Support and Services

• Help Desk Support

• IT Service Management (ITSM)

• System Administration

• Hardware and Software Troubleshooting

• End-User Training

9. Artificial Intelligence and Machine Learning

• AI Algorithms and Frameworks

• Natural Language Processing (NLP)

• Computer Vision

• Robotics

• Predictive Analytics

10. Business Intelligence and Analytics

• Reporting Tools (Tableau, Power BI)

• Data Visualization

• Business Analytics Platforms

• Predictive Modeling

11. Internet of Things (IoT)

• IoT Devices and Sensors

• IoT Platforms

• Edge Computing

• Smart Systems (Homes, Cities, Vehicles)

12. Enterprise Systems

• Enterprise Resource Planning (ERP)

• Customer Relationship Management (CRM)

• Human Resource Management Systems (HRMS)

• Supply Chain Management Systems

13. IT Governance and Compliance

• ITIL (Information Technology Infrastructure Library)

• COBIT (Control Objectives for Information Technologies)

• ISO/IEC Standards

• Regulatory Compliance (GDPR, HIPAA, SOX)

14. Emerging Technologies

• Blockchain

• Quantum Computing

• Augmented Reality (AR) and Virtual Reality (VR)

• 3D Printing

• Digital Twins

15. IT Project Management

• Agile, Scrum, and Kanban

• Waterfall Methodology

• Resource Allocation

• Risk Management

16. IT Infrastructure

• Data Centers

• Virtualization (VMware, Hyper-V)

• Disaster Recovery Planning

• Load Balancing

17. IT Education and Certifications

• Vendor Certifications (Microsoft, Cisco, AWS)

• Training and Development Programs

• Online Learning Platforms

18. IT Operations and Monitoring

• Performance Monitoring (APM, Network Monitoring)

• IT Asset Management

• Event and Incident Management

19. Software Testing

• Manual Testing: Human testers evaluate software by executing test cases without using automation tools.

• Automated Testing: Use of testing tools (e.g., Selenium, JUnit) to run automated scripts and check software behavior.

• Functional Testing: Validating that the software performs its intended functions.

• Non-Functional Testing: Assessing non-functional aspects such as performance, usability, and security.

• Unit Testing: Testing individual components or units of code for correctness.

• Integration Testing: Ensuring that different modules or systems work together as expected.

• System Testing: Verifying the complete software system’s behavior against requirements.

• Acceptance Testing: Conducting tests to confirm that the software meets business requirements (including UAT - User Acceptance Testing).

• Regression Testing: Ensuring that new changes or features do not negatively affect existing functionalities.

• Performance Testing: Testing software performance under various conditions (load, stress, scalability).

• Security Testing: Identifying vulnerabilities and assessing the software’s ability to protect data.

• Compatibility Testing: Ensuring the software works on different operating systems, browsers, or devices.

• Continuous Testing: Integrating testing into the development lifecycle to provide quick feedback and minimize bugs.

• Test Automation Frameworks: Tools and structures used to automate testing processes (e.g., TestNG, Appium).

19. VoIP (Voice over IP)

VoIP Protocols & Standards

• SIP (Session Initiation Protocol)

• H.323

• RTP (Real-Time Transport Protocol)

• MGCP (Media Gateway Control Protocol)

VoIP Hardware

• IP Phones (Desk Phones, Mobile Clients)

• VoIP Gateways

• Analog Telephone Adapters (ATAs)

• VoIP Servers

• Network Switches/ Routers for VoIP

VoIP Software

• Softphones (e.g., Zoiper, X-Lite)

• PBX (Private Branch Exchange) Systems

• VoIP Management Software

• Call Center Solutions (e.g., Asterisk, 3CX)

VoIP Network Infrastructure

• Quality of Service (QoS) Configuration

• VPNs (Virtual Private Networks) for VoIP

• VoIP Traffic Shaping & Bandwidth Management

• Firewall and Security Configurations for VoIP

• Network Monitoring & Optimization Tools

VoIP Security

• Encryption (SRTP, TLS)

• Authentication and Authorization

• Firewall & Intrusion Detection Systems

• VoIP Fraud DetectionVoIP Providers

• Hosted VoIP Services (e.g., RingCentral, Vonage)

• SIP Trunking Providers

• PBX Hosting & Managed Services

VoIP Quality and Testing

• Call Quality Monitoring

• Latency, Jitter, and Packet Loss Testing

• VoIP Performance Metrics and Reporting Tools

• User Acceptance Testing (UAT) for VoIP Systems

Integration with Other Systems

• CRM Integration (e.g., Salesforce with VoIP)

• Unified Communications (UC) Solutions

• Contact Center Integration

• Email, Chat, and Video Communication Integration

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DBMS Tutorial for Beginners: Unlocking the Power of Data Management

In this "DBMS Tutorial for Beginners: Unlocking the Power of Data Management," we will explore the fundamental concepts of DBMS, its importance, and how you can get started with managing data effectively.

What is a DBMS?

A Database Management System (DBMS) is a software tool that facilitates the creation, manipulation, and administration of databases. It provides an interface for users to interact with the data stored in a database, allowing them to perform various operations such as querying, updating, and managing data. DBMS can be classified into several types, including:

Hierarchical DBMS: Organizes data in a tree-like structure, where each record has a single parent and can have multiple children.

Network DBMS: Similar to hierarchical DBMS but allows more complex relationships between records, enabling many-to-many relationships.

Relational DBMS (RDBMS): The most widely used type, which organizes data into tables (relations) that can be linked through common fields. Examples include MySQL, PostgreSQL, and Oracle.

Object-oriented DBMS: Stores data in the form of objects, similar to object-oriented programming concepts.

Why is DBMS Important?

Data Integrity: DBMS ensures the accuracy and consistency of data through constraints and validation rules. This helps maintain data integrity and prevents anomalies.

Data Security: With built-in security features, DBMS allows administrators to control access to data, ensuring that only authorized users can view or modify sensitive information.

Data Redundancy Control: DBMS minimizes data redundancy by storing data in a centralized location, reducing the chances of data duplication and inconsistency.

Efficient Data Management: DBMS provides tools for data manipulation, making it easier for users to retrieve, update, and manage data efficiently.

Backup and Recovery: Most DBMS solutions come with backup and recovery features, ensuring that data can be restored in case of loss or corruption.

Getting Started with DBMS

To begin your journey with DBMS, you’ll need to familiarize yourself with some essential concepts and tools. Here’s a step-by-step guide to help you get started:

Step 1: Understand Basic Database Concepts

Before diving into DBMS, it’s important to grasp some fundamental database concepts:

Database: A structured collection of data that is stored and accessed electronically.

Table: A collection of related data entries organized in rows and columns. Each table represents a specific entity (e.g., customers, orders).

Record: A single entry in a table, representing a specific instance of the entity.

Field: A specific attribute of a record, represented as a column in a table.

Step 2: Choose a DBMS

There are several DBMS options available, each with its own features and capabilities. For beginners, it’s advisable to start with a user-friendly relational database management system. Some popular choices include:

MySQL: An open-source RDBMS that is widely used for web applications.

PostgreSQL: A powerful open-source RDBMS known for its advanced features and compliance with SQL standards.

SQLite: A lightweight, serverless database that is easy to set up and ideal for small applications.

Step 3: Install the DBMS

Once you’ve chosen a DBMS, follow the installation instructions provided on the official website. Most DBMS solutions offer detailed documentation to guide you through the installation process.

Step 4: Create Your First Database

After installing the DBMS, you can create your first database. Here’s a simple example using MySQL:

Open the MySQL command line or a graphical interface like MySQL Workbench. Run the following command to create a new CREATE DATABASE my_first_database;

Use the database: USE my_first_database;

Step 5: Create Tables

Next, you’ll want to create tables to store your data. Here’s an example of creating a table for storing customer information:

CREATE TABLE customers ( 2 customer_id INT AUTO_INCREMENT PRIMARY KEY, 3 first_name VARCHAR(50), 4 last_name VARCHAR(50), 5 email VARCHAR(100), 6 created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP 7);

In this example, we define a table named customers with fields for customer ID, first name, last name, email, and the date the record was created.

Step 6: Insert Data

Now that you have a table, you can insert data into it. Here’s how to add a new customer:

1 INSERT INTO customers (first_name, last_name, email) 2VALUES ('John', 'Doe', 'john.doe@example.com');

Query Data

To retrieve data from your table, you can use the SELECT statement. For example, to get all customers:

1 SELECT * FROM customers;

You can also filter results using the WHERE clause:

SELECT * FROM customers WHERE last_name = 'Doe';

Step 8: Update and Delete Data

You can update existing records using the UPDATE statement:

UPDATE customers SET email = 'john.new@example.com' WHERE customer_id = 1;

To delete a record, use the DELETE statement:

DELETE FROM customers WHERE customer_id = 1;

Conclusion

In this "DBMS Tutorial for Beginners: Unlocking the Power of Data Management," we’ve explored the essential concepts of Database Management Systems and how to get started with managing data effectively. By understanding the importance of DBMS, familiarizing yourself with basic database concepts, and learning how to create, manipulate, and query databases, you are well on your way to becoming proficient in data management.

As you continue your journey, consider exploring more advanced topics such as database normalization, indexing, and transaction management. The world of data management is vast and full of opportunities, and mastering DBMS will undoubtedly enhance your skills as a developer or data professional.

With practice and experimentation, you’ll unlock the full potential of DBMS and transform the way you work with data. Happy database management!

[cybersecurityict]

Cloud Database and DBaaS Market in the United States entering an era of unstoppable scalability

Cloud Database And DBaaS Market was valued at USD 17.51 billion in 2023 and is expected to reach USD 77.65 billion by 2032, growing at a CAGR of 18.07% from 2024-2032. 

Cloud Database and DBaaS Market is experiencing robust expansion as enterprises prioritize scalability, real-time access, and cost-efficiency in data management. Organizations across industries are shifting from traditional databases to cloud-native environments to streamline operations and enhance agility, creating substantial growth opportunities for vendors in the USA and beyond.

U.S. Market Sees High Demand for Scalable, Secure Cloud Database Solutions

Cloud Database and DBaaS Market continues to evolve with increasing demand for managed services, driven by the proliferation of data-intensive applications, remote work trends, and the need for zero-downtime infrastructures. As digital transformation accelerates, businesses are choosing DBaaS platforms for seamless deployment, integrated security, and faster time to market.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/6586  

Market Keyplayers:

Google LLC (Cloud SQL, BigQuery)

Nutanix (Era, Nutanix Database Service)

Oracle Corporation (Autonomous Database, Exadata Cloud Service)

IBM Corporation (Db2 on Cloud, Cloudant)

SAP SE (HANA Cloud, Data Intelligence)

Amazon Web Services, Inc. (RDS, Aurora)

Alibaba Cloud (ApsaraDB for RDS, ApsaraDB for MongoDB)

MongoDB, Inc. (Atlas, Enterprise Advanced)

Microsoft Corporation (Azure SQL Database, Cosmos DB)

Teradata (VantageCloud, ClearScape Analytics)

Ninox (Cloud Database, App Builder)

DataStax (Astra DB, Enterprise)

EnterpriseDB Corporation (Postgres Cloud Database, BigAnimal)

Rackspace Technology, Inc. (Managed Database Services, Cloud Databases for MySQL)

DigitalOcean, Inc. (Managed Databases, App Platform)

IDEMIA (IDway Cloud Services, Digital Identity Platform)

NEC Corporation (Cloud IaaS, the WISE Data Platform)

Thales Group (CipherTrust Cloud Key Manager, Data Protection on Demand)

Market Analysis

The Cloud Database and DBaaS Market is being shaped by rising enterprise adoption of hybrid and multi-cloud strategies, growing volumes of unstructured data, and the rising need for flexible storage models. The shift toward as-a-service platforms enables organizations to offload infrastructure management while maintaining high availability and disaster recovery capabilities.

Key players in the U.S. are focusing on vertical-specific offerings and tighter integrations with AI/ML tools to remain competitive. In parallel, European markets are adopting DBaaS solutions with a strong emphasis on data residency, GDPR compliance, and open-source compatibility.

Market Trends

Growing adoption of NoSQL and multi-model databases for unstructured data

Integration with AI and analytics platforms for enhanced decision-making

Surge in demand for Kubernetes-native databases and serverless DBaaS

Heightened focus on security, encryption, and data governance

Open-source DBaaS gaining traction for cost control and flexibility

Vendor competition intensifying with new pricing and performance models

Rise in usage across fintech, healthcare, and e-commerce verticals

Market Scope

The Cloud Database and DBaaS Market offers broad utility across organizations seeking flexibility, resilience, and performance in data infrastructure. From real-time applications to large-scale analytics, the scope of adoption is wide and growing.

Simplified provisioning and automated scaling

Cross-region replication and backup

High-availability architecture with minimal downtime

Customizable storage and compute configurations

Built-in compliance with regional data laws

Suitable for startups to large enterprises

Forecast Outlook

The market is poised for strong and sustained growth as enterprises increasingly value agility, automation, and intelligent data management. Continued investment in cloud-native applications and data-intensive use cases like AI, IoT, and real-time analytics will drive broader DBaaS adoption. Both U.S. and European markets are expected to lead in innovation, with enhanced support for multicloud deployments and industry-specific use cases pushing the market forward.

Access Complete Report: https://www.snsinsider.com/reports/cloud-database-and-dbaas-market-6586 

Conclusion

The future of enterprise data lies in the cloud, and the Cloud Database and DBaaS Market is at the heart of this transformation. As organizations demand faster, smarter, and more secure ways to manage data, DBaaS is becoming a strategic enabler of digital success. With the convergence of scalability, automation, and compliance, the market promises exciting opportunities for providers and unmatched value for businesses navigating a data-driven world.

Related reports:

U.S.A leads the surge in advanced IoT Integration Market innovations across industries

U.S.A drives secure online authentication across the Certificate Authority Market

U.S.A drives innovation with rapid adoption of graph database technologies

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

Mail us: info@snsinsider.com

[nulledclubproblog]

Xavier Nulled Script 3.2.3

Unlock Powerful User Management with Xavier Nulled Script Are you looking for a robust and easy-to-integrate user management solution? Xavier Nulled Script is the ideal choice for developers and businesses who want a secure, feature-rich PHP login system without the high cost. With seamless authentication features, advanced user control, and full customization, Xavier offers a flexible backend experience perfect for modern web applications. What is Xavier Nulled Script? Xavier Nulled Script is a premium PHP login and user management system designed for web developers who need a quick, secure, and professional authentication solution. This script provides an all-in-one package with user registration, login, password reset, email confirmation, and an admin dashboard. The nulled version gives you complete access to all premium functionalities at zero cost—ideal for experimentation, learning, or production deployment. Technical Specifications of Xavier Nulled Script Written in PHP with secure, scalable code Database: MySQL or MariaDB Fully responsive front-end with Bootstrap integration Clean, modern UI for both users and administrators Supports email-based password recovery Role-based access control system Modular architecture for easy customization Key Features and Benefits Here’s why developers and site owners love the Xavier Script: ✔ Seamless User Authentication Xavier ensures secure login, registration, and session management with CSRF protection and hashed passwords using industry-standard encryption. ✔ Admin Control Panel The built-in admin dashboard lets you manage users, roles, and system settings with ease, all from an intuitive and mobile-friendly interface. ✔ Role-Based Access Control Customize user permissions and access levels with Xavier’s powerful role management feature—ideal for both small projects and enterprise-scale systems. ✔ Fully Open and Customizable Whether you're building a SaaS platform or a community website, Xavier adapts to your needs. Modify views, change logic, or integrate it into your existing projects without restrictions. Best Use Cases for Xavier Nulled Script Startups developing web applications that require user authentication Agencies looking for a reusable login system for multiple clients Freelancers aiming to deliver fast and secure admin panels Learning environments for PHP and database integration training How to Install and Use Xavier Nulled Script Download the Xavier Nulled Script ZIP package from our site. Extract the files and upload them to your hosting server. Set up your database and import the included SQL file. Edit the config.php file to match your database credentials. Access yourdomain.com/install to complete the installation process. Log in using the admin credentials and start managing users instantly. Frequently Asked Questions (FAQs) Is the Xavier Nulled Script safe to use? Yes, we provide a clean and thoroughly checked version of the script to ensure functionality and security. However, always test in a secure environment before deploying to production. Can I use Xavier Nulled Script for commercial projects? Absolutely. The nulled version allows full access without any licensing restrictions. You can use it freely for client or commercial websites. Is this script regularly updated? We strive to keep the most stable and recent version of the Xavier script available on our website. Check back often for updates and new features. Does Xavier Nulled Script support multiple languages? Yes, it comes with a language file system, allowing you to localize the UI and user prompts with ease. Download Now and Start Building Don't miss the opportunity to streamline your user authentication system with Xavier . Our free version is perfect for developers and startups who want to build secure web apps with zero licensing cost. Also, if you're exploring more tools to power your website, check out our full collection of nulled wordpress themes and find high-performance options for every niche.

Looking for a top-tier theme to match your new user system? We highly recommend woodmart nulled for a professional and visually stunning frontend experience.

[xettle-technologies]

What Tech Stack Is Ideal for Building a FinTech Banking Platform?

In the fast-evolving world of digital finance, choosing the right technology stack is a critical decision when building a fintech banking platform. The efficiency, scalability, security, and user experience of your solution hinge on how well your tech components align with the needs of modern banking users. As the demand for agile, customer-focused fintech banking solutions continues to grow, the technology behind these systems must be just as robust and innovative.

A well-structured tech stack not only supports essential banking operations but also empowers continuous innovation, integration with third-party services, and compliance with financial regulations. In this article, we break down the ideal tech stack for building a modern fintech banking platform.

1. Front-End Technologies

The front-end of a fintech platform plays a pivotal role in delivering intuitive and responsive user experiences. Given the high expectations of today’s users, the interface must be clean, secure, and mobile-first.

Key technologies:

React or Angular: These JavaScript frameworks provide flexibility, component reusability, and fast rendering, making them ideal for building dynamic and responsive interfaces.

Flutter or React Native: These cross-platform mobile development frameworks allow for the rapid development of Android and iOS apps using a single codebase.

User experience is a top priority in fintech software. Real-time dashboards, mobile-first design, and accessibility are essential for retaining users and building trust.

2. Back-End Technologies

The back-end is the backbone of any fintech system. It manages business logic, database operations, user authentication, and integrations with external services.

Preferred languages and frameworks:

Node.js (JavaScript), Python (Django/Flask), or Java (Spring Boot): These languages offer excellent scalability, developer support, and security features suitable for financial applications.

Golang is also becoming increasingly popular due to its performance and simplicity.

An effective back-end architecture should be modular and service-oriented, enabling the platform to scale efficiently as the user base grows.

3. Database Management

Data integrity and speed are crucial in fintech banking solutions. Choosing the right combination of databases ensures reliable transaction processing and flexible data handling.

Recommended databases:

PostgreSQL or MySQL: Reliable and ACID-compliant relational databases, ideal for storing transactional data.

MongoDB or Cassandra: Useful for handling non-structured data and logs with high scalability.

In most fintech platforms, a hybrid data storage strategy works best—leveraging both SQL and NoSQL databases to optimize performance and flexibility.

4. Cloud Infrastructure and DevOps

Modern fintech platforms are built in the cloud to ensure high availability, fault tolerance, and global scalability. Cloud infrastructure also simplifies maintenance and accelerates development cycles.

Key components:

Cloud providers: AWS, Microsoft Azure, or Google Cloud for hosting, scalability, and security.

DevOps tools: Docker for containerization, Kubernetes for orchestration, and Jenkins or GitHub Actions for continuous integration and deployment (CI/CD).

Cloud-based fintech software also benefits from automated backups, distributed computing, and seamless disaster recovery.

5. Security and Compliance

Security is a non-negotiable component in financial software. A fintech banking platform must be fortified with multi-layered security to protect sensitive user data and comply with global regulations.

Key practices and tools:

OAuth 2.0, JWT for secure authentication.

TLS encryption for secure data transmission.

WAFs (Web Application Firewalls) and intrusion detection systems.

Regular penetration testing and code audits.

Compliance libraries or services to support standards like PCI-DSS, GDPR, and KYC/AML requirements.

Security must be integrated at every layer of the tech stack, not treated as an afterthought.

6. APIs and Integrations

Open banking and ecosystem connectivity are central to fintech innovation. Your platform must be designed to communicate with external services through APIs.

API tools and standards:

REST and GraphQL for efficient communication.

API gateways like Kong or Apigee for rate limiting, monitoring, and security.

Webhooks and event-driven architecture for real-time data syncing.

With APIs, fintech software can integrate with payment processors, credit bureaus, digital wallets, and compliance services to create a more versatile product offering.

7. Analytics and Reporting

To stay competitive, fintech platforms must offer actionable insights. Analytics tools help track customer behavior, detect fraud, and inform business decisions.

Tech tools:

Elasticsearch for log indexing and real-time search.

Kibana or Grafana for dashboards and visualization.

Apache Kafka for real-time data streaming and processing.

These tools ensure that decision-makers can monitor platform performance and enhance services based on data-driven insights.

8. AI and Automation

Artificial Intelligence (AI) is becoming a cornerstone in fintech banking solutions. From automated support to predictive analytics and risk scoring, AI adds significant value.

Popular tools and frameworks:

TensorFlow, PyTorch for model building.

Scikit-learn, Pandas for lightweight data analysis.

Dialogflow or Rasa for chatbot development.

Automation tools like Robotic Process Automation (RPA) further streamline back-office operations and reduce manual workloads.

Conclusion

Building a robust and scalable fintech banking platform requires a thoughtfully chosen tech stack that balances performance, security, flexibility, and user experience. Each layer—from front-end frameworks and APIs to cloud infrastructure and compliance mechanisms—must work in harmony to deliver a seamless and secure digital banking experience.

Xettle Technologies, as an innovator in the digital finance space, emphasizes the importance of designing fintech software using a future-proof tech stack. This approach not only supports rapid growth but also ensures reliability, compliance, and customer satisfaction in an increasingly competitive landscape.

By investing in the right technologies, financial institutions can confidently meet the demands of modern users while staying ahead in the evolving world of digital finance.

[digitalmarketingtrainer]

Market Context: Online Food Delivery at Scale

Urbanization, smartphone ubiquity, and shifting consumer behaviors are fueling the global online food delivery market, which was valued at USD 380.43 billion in 2024 and is expected to grow at a 9.0% CAGR through 2030 Grand View Research. In the U.S. alone, major platforms like DoorDash and Uber Eats command over 90 % of market share—67 % and 23 % respectively—highlighting consumer preference for mobile-first, app-driven experiences Deliverect.

Product Overview

Name: Online Restaurant Food Ordering Project in ASP.NET ProjectsforEveryone.com

Platform: ASP.NET MVC (C#), SQL Server Microsoft Learn

Delivery: Instant download with complete source code, database scripts, and remote installation help ProjectsforEveryone.com

Pricing: ₹1,998 (originally ₹3,996) with a 30-day money-back guarantee ProjectsforEveryone.com

Core Features

Fully Responsive Design: Mobile-first layouts ensuring seamless UX on smartphones (over 70 % of orders originate via mobile) Deliverect.

Admin Dashboard:

Menu Management: Add, update, delete categories and items dynamically ProjectsforEveryone.com

Order Processing: View orders by date, update statuses, and track order history in real time ProjectsforEveryone.com

Customer Messaging: In-dashboard chat to handle inquiries without third-party tools ProjectsforEveryone.com

User Module:

Secure Authentication: Signup/login with secret-question password recovery ProjectsforEveryone.com

Shopping Cart & Checkout: Multiple payment options, unique order numbers, and instant confirmations ProjectsforEveryone.com

Order History & Reordering: One-click repeat orders and status tracking ProjectsforEveryone.com

Technical Architecture

ASP.NET MVC Pattern: The Model-View-Controller architecture separates data (Model), UI (View), and application logic (Controller), enhancing maintainability and testability Microsoft Learn.

C# & Visual Studio: Built using C# in Visual Studio (2010–2022), offering powerful debugging, IntelliSense, and integration with Azure services Microsoft Learn.

SQL Server Backend: Relational database support with included SQL scripts; easy deployment via SQL Server Compact or full SQL Server editions Microsoft Learn.

Extensibility: Open source code allows customization of payment gateways, analytics dashboards, loyalty modules, and theming with minimal effort bluebeeweb.com.

Key Benefits

Brand Control & Profitability

Zero commissions on direct orders retain full revenue, improving margins by up to 15 % bluebeeweb.com.

Custom branding from homepage to checkout strengthens customer loyalty.

Operational Efficiency

Real-time order routing to kitchen displays reduces manual errors and speeds service Toast POS.

Automated sales analytics empower data-driven menu and pricing decisions.

Enhanced Customer Experience

24/7 access and repeat-order functionality boost average order values and return rates.

Secure, seamless checkout flow reduces cart abandonment.

Ideal Use Cases

Independent Cafés & Bistros: Launch a professional online portal without custom development overhead.

Cloud Kitchens: Unify orders from aggregators into a single branded interface.

Hotels & Catering Services: Manage event orders, guest preferences, and payments in one system.

Educational Institutes: Full source code serves as a teaching aid for ASP.NET MVC and SQL Server integration.

Getting Started & Call to Action

Empower your restaurant with an enterprise-grade online ordering platform today: 👉 Download the ASP.NET Food Ordering Project ProjectsforEveryone.com

For customization or installation assistance, contact ProjectsForEveryone’s support at +91-8283017879 (10 AM–5 PM IST).

[dmskillup]

What Steps Should I Take for OpenEMR Installation Issues?

 Introduction

The installation process of OpenEMR presents difficulties due to its power as an open-source Electronic Medical Records (EMR) system. The following section presents known OpenEMR installation issues with corresponding step-by-step solutions.

Common Installation Errors and Solutions

1.PHP Compatibility Issues

Error: OpenEMR installation fails due to compatibility issues with PHP version.

Solution: The installation process requires using PHP version 7.4 or newer versions. The php.ini file requires PHP configuration updates that match OpenEMR settings. Proper error prevention involves enabling Off for short_open_tag while setting the memory_limit to 512M in your php.ini file.

2.Database Connection Failure

Error: “Cannot connect to the MySQL database.”

Cause: This error arises when the OpenEMR installer cannot establish a connection to the MySQL database.

Solution:

·        Ensure the MySQL service is running: sudo service mysql start.

·        Verify that the credentials in the sqlconf.php file are correct:

Php: $host = 'localhost'; $port = '3306'; $login = 'your_username'; $pass = 'your_password'; $dbase = 'openemr';

3. Blank Page After Installation

Error: A blank screen is displayed after installing OpenEMR.

Cause: Typically caused by a missing PHP module or a permissions issue.

Solution:

·        Check for missing PHP modules using php -m | grep -i <missing_module>.

·        Install missing modules with sudo apt-get install php-<module_name>.

·        Ensure correct file permissions: sudo chmod -R 755 /var/www/openemr.

4. Locale Errors

Error: “PHP Warning: Failed to setlocale…”

Cause: The locale settings on the server are not configured correctly.

Solution:

·        Install the appropriate locales: sudo locale-gen en_US.UTF-8.

·        Reconfigure locales: sudo dpkg-reconfigure locales.

5. SQL Error in OpenEMR Usage

Error: A fatal error occurred that showed “Uncaught Error: SQLSTATE[42S02]: Base table or view not found…”

Cause: The missing database table or improper database table creation process causes this error to appear.

Solution:

·        Re-execute the SQL upgrade script through the command: mysql -u root -p openemr < sql/upgrade.sql.

·        All database tables need to be imported correctly.

6. PDF Generation Failure

Error: The error message reads, “FPDF error: Unable to create output file.”

Cause: The file system write permissions create a cause that prevents OpenEMR from generating output files.

Solution:

·        Users need write permissions in the sites/default/documents directory because of this command: sudo chmod -R777/var/www/openemr/sites/default/documents.

Common Mistakes During Setup

1.Inadequate System Requirements Assessment

·        Performance problems emerge because organizations underestimate their hardware requirements along with their software needs.

·        System requirements assessment needs to become a complete process done before any installation begins.

2.Neglecting Data Backup and Recovery Planning

·        Failing to plan backup procedures and recovery strategies remains one of the main setup challenges.

·        Planning for data backup becomes essential since the absence of planning may cause complete loss of information.

·        Regular backups should be conducted either through OpenEMR’s tools or third-party scripting solutions.

3.Improper Configuration

·        Incorrectly implemented settings result in both performance issues and system errors.

·        Users should verify that both database and PHP settings align correctly with OpenEMR’s necessary requirements.

Real-World Examples and Case Studies

Cloud Success Story: Through OpenEMR Cloud on AWS, this Vermont clinic cut their server maintenance expenses by 70% and also gained better peak-season system capabilities.

On-Premises Example: A large Texas hospital chose on-premises deployment of OpenEMR to sustain whole authority over security standards while maintaining easy integration with current hospital information infrastructure.

Troubleshooting Tips for Windows Installation

·        Check PHP settings because you must enable all required PHP extensions while following the correct settings in the php.ini configuration file.

·        Check MySQL Connection by verifying the correct running of MySQL and sqlconf.php credentials.

·        During installation, use a temporary disable of antivirus software to prevent interruptions.

·        You should check OpenEMR directory permissions to stop unauthorized access to its files.

Future Trends in OpenEMR

OpenEMR will continue integrating modern features into its system as healthcare technology advances forward.

AI and Machine Learning

·        OpenEMR will incorporate artificial intelligence-based clinical decision support systems and predictive analytics technology for patient care in future updates.

Telehealth Enhancements

·        The telehealth system will receive updated modules that enable remote consultation access while offering better healthcare access to patients.

Interoperability Standards

·        Additional FHIR technology support in the system will help different healthcare systems communicate their data more efficiently.

Conclusion

The resolution of OpenEMR installation problems requires a careful approach together with expertise in frequent installation barriers. Healthcare providers who focus on PHP compatibility along with database connections and permissions will establish a successful OpenEMR setup while maximizing its functionality. Continuous updates about the latest OpenEMR advancements enable healthcare professionals to achieve maximum performance and efficiency for their management tasks.

FAQs

What are the most common installation errors in OpenEMR?

During OpenEMR installation, you might encounter three major issues that include PHP version conflicts as well as database connection problems and unexplained blank pages showing up because of either missing components or access permission problems.

How do I troubleshoot a blank page error after OpenEMR installation?

Review both PHP module's presence and verify correct permissions for the OpenEMR directory files.

What are some common mistakes during OpenEMR setup?

The integration of insufficient system assessment with poor data backup and recovery planning along with unsuitable configuration represents the main mistakes that cause performance degradation and data loss.

[shreja]

Introduction to Microsoft Azure

What is Microsoft Azure? Microsoft Azure is the cloud computing service from Microsoft that offers a wide range of services to help individuals and organizations develop, deploy, and manage applications and services through Microsoft-managed data centers across the world. It supports different cloud models like IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and SaaS (Software as a Service). Key Features of Microsoft Azure ● Virtual Machines (VMs): Quickly deploy Windows or Linux virtual servers. ● App Services: Host web and mobile applications with scaling built-in. ● Azure Functions: Execute code without managing servers (serverless computing). ● Azure SQL Database: Scalable, fully-managed relational databases. ● Azure Kubernetes Service (AKS): Simplified Kubernetes management. ● Azure DevOps: Continuous integration and continuous delivery (CI/CD) tools. ● Azure Blob Storage: Solution for unstructured data storage. ● Azure Active Directory (AAD): Identity and access management. ● AI & Machine Learning Tools: Create and deploy intelligent apps. ● Hybrid Cloud Capabilities: On-premises and cloud integration seamlessly. Core Service Categories Category Compute Networking Storage Databases Analytics AI & ML IoT Security DevOps Examples Virtual Machines, App Services Virtual Network, Azure Load Balancer Blob Storage, Azure Files Azure SQL, Cosmos DB Azure Synapse, HDInsight Cognitive Services, Azure ML Studio IoT Hub, Azure Digital Twins Security Center, Key Vault Azure DevOps, GitHub Actions ✅ Benefits of Using Azure ● Scalable and Flexible: Scale up or down immediately as needed. ● Cost-Effective: Pay-as-you-go pricing model. ● Secure and Compliant: Enterprise-grade security with over 90 compliance offerings. ● Global Infrastructure: In more than 60 regions globally. ● Developer-Friendly: Supports a wide range of programming languages and frameworks. Who Uses Azure? ● Large Enterprises – For large-scale infrastructure and data solutions. ● Startups – To build, test, and deploy apps quickly. ● Developers – As a full-stack dev environment. ● Educational Institutions and Governments – For secure, scalable systems. Common Use Cases ● Website and app hosting ● Cloud-based storage and backup ● Big data analytics ● Machine learning projects ● Internet of Things (IoT) solutions ● Disaster recovery

[utkarshpradhan]

Uncover Hidden Threats with Expert Web Application Security Audits

In today’s digital landscape, your web applications are more than just tools — they’re the core of your customer experience, your data pipelines, and your business operations. But with growing complexity comes increasing risk. Hidden vulnerabilities, misconfigurations, and overlooked logic flaws are the perfect playground for cyber attackers.

That’s where expert web application security auditing steps in — not as an afterthought, but as a critical shield between your business and potential breaches.

The Real Risk of Hidden Threats

Most security breaches don’t happen because of sophisticated zero-day exploits. They happen because of basic oversights — weak authentication flows, exposed APIs, outdated components, or insecure data handling practices. Web applications, by nature, are public-facing and often integrate multiple services, libraries, and user inputs — making them an easy target.

Without regular auditing, these threats remain hidden in plain sight.

Common Hidden Vulnerabilities Found in Web Apps:

Cross-Site Scripting (XSS)

SQL Injection

Broken Access Controls

Insecure Direct Object References (IDOR)

Security Misconfigurations

Sensitive Data Exposure

Unvalidated Inputs

These aren’t just theoretical. They’re the root causes behind thousands of breaches every year.

What Is a Web Application Security Audit?

A web application security audit is a deep technical assessment of your application’s architecture, code, configurations, and data flows. It goes beyond automated scanners and dives into manual testing, logic review, and exploitation simulation to uncover weaknesses.

An expert-led audit typically involves:

Threat Modeling: Understanding how your app could be attacked based on its design and function.

Static and Dynamic Analysis: Reviewing code (if available) and monitoring runtime behavior.

Authentication & Session Review: Ensuring login, logout, and session management are airtight.

Business Logic Testing: Identifying flaws in the way your app handles actions like payments, transfers, permissions, or role-based access.

Compliance Checks: Ensuring your app aligns with standards like OWASP Top 10, PCI-DSS, GDPR, and others.

Why Expert Audits Matter More Than Ever

While automated tools have their place, they often miss contextual vulnerabilities — those that require human reasoning to find and exploit. That’s why expert auditors are irreplaceable.

They bring:

Years of experience

Manual testing techniques

Red team mindset

Industry-specific knowledge

An expert audit isn’t just about finding flaws — it’s about understanding risk in the context of your business.

Benefits You Can’t Ignore:

Early Threat Detection: Catch issues before attackers do.

Reduced Attack Surface: Shrink the number of exploitable paths.

Faster Incident Response: Know where you’re weak before it’s used against you.

Customer Trust: Demonstrate your commitment to security.

Regulatory Peace of Mind: Stay audit-ready and compliant.

When Should You Audit?

Security audits aren’t just for post-breach response. You should audit:

Before launching a new web application

After major updates or new feature rollouts

Periodically, as part of a security program

After suspected breaches or security anomalies

Proactivity is cheaper than recovery — both in cost and reputation.

Choosing the Right Security Partner

Not all audits are created equal. The value of your audit depends on who performs it and how thorough it is.

Look for partners who:

Provide both manual and automated testing

Deliver detailed reports with actionable insights

Offer post-audit remediation guidance

Have a proven track record in your industry

At eShield IT Services, we specialize in web application security auditing that’s tailored, exhaustive, and aligned with your business needs. Our audits don’t just check boxes — they build resilience.

Final Thoughts

Web applications are powerful — but power without protection is a liability. With expert security audits, you don’t just react to threats; you anticipate, uncover, and neutralize them before they become disasters.

Don’t let hidden vulnerabilities be your weakest link. Uncover them now — with expert web application security audits.

To know more click here :-https://eshielditservices.com

[techsee]

Fix SQL Database Corruption Fast – Trusted Recovery Experts

[souhaillaghchimdev]

Advanced Database Design

As applications grow in size and complexity, the design of their underlying databases becomes critical for performance, scalability, and maintainability. Advanced database design goes beyond basic tables and relationships—it involves deep understanding of normalization, indexing, data modeling, and optimization strategies.

1. Data Modeling Techniques

Advanced design starts with a well-thought-out data model. Common modeling approaches include:

Entity-Relationship (ER) Model: Useful for designing relational databases.

Object-Oriented Model: Ideal when working with object-relational databases.

Star and Snowflake Schemas: Used in data warehouses for efficient querying.

2. Normalization and Denormalization

Normalization: The process of organizing data to reduce redundancy and improve integrity (up to 3NF or BCNF).

Denormalization: In some cases, duplicating data improves read performance in analytical systems.

3. Indexing Strategies

Indexes are essential for query performance. Common types include:

B-Tree Index: Standard index type in most databases.

Hash Index: Good for equality comparisons.

Composite Index: Combines multiple columns for multi-column searches.

Full-Text Index: Optimized for text search operations.

4. Partitioning and Sharding

Partitioning: Splits a large table into smaller, manageable pieces (horizontal or vertical).

Sharding: Distributes database across multiple machines for scalability.

5. Advanced SQL Techniques

Common Table Expressions (CTEs): Temporary result sets for organizing complex queries.

Window Functions: Perform calculations across a set of table rows related to the current row.

Stored Procedures & Triggers: Automate tasks and enforce business logic at the database level.

6. Data Integrity and Constraints

Primary and Foreign Keys: Enforce relational integrity.

CHECK Constraints: Validate data against specific rules.

Unique Constraints: Ensure column values are not duplicated.

7. Security and Access Control

Security is crucial in database design. Best practices include:

Implementing role-based access control (RBAC).

Encrypting sensitive data both at rest and in transit.

Using parameterized queries to prevent SQL injection.

8. Backup and Recovery Planning

Design your database with disaster recovery in mind:

Automate daily backups.

Test recovery procedures regularly.

Use replication for high availability.

9. Monitoring and Optimization

Tools like pgAdmin (PostgreSQL), MySQL Workbench, and MongoDB Compass help in identifying bottlenecks and optimizing performance.

10. Choosing the Right Database System

Relational: MySQL, PostgreSQL, Oracle (ideal for structured data and ACID compliance).

NoSQL: MongoDB, Cassandra, CouchDB (great for scalability and unstructured data).

NewSQL: CockroachDB, Google Spanner (combines NoSQL scalability with relational features).

Conclusion

Advanced database design is a balancing act between normalization, performance, and scalability. By applying best practices and modern tools, developers can ensure that their systems are robust, efficient, and ready to handle growing data demands. Whether you’re designing a high-traffic e-commerce app or a complex analytics engine, investing time in proper database architecture pays off in the long run.

[hiringjournal]

How to Hire the Right MySQL Engineer: Skills to Look For

For any business that handles structured data a solid database foundation serves as the key. MySQL continues to dominate the market as one of the most reliable and widely utilized relational database systems. Whether it’s managing e-commerce transactions, user profiles, or analytics, having the right talent can have a significant impact on performance and scalability.

That’s why several tech companies are considering hiring database engineers with MySQL proficiency. This helps to manage the growing database needs. But how do you know that you are hiring the right fit for the job? In this article we will breakdown what you need to look for when you set out to hire these experts.

Key Technical and Practical Skills Every Business Should Prioritize

Strong knowledge of SQL and database design

Fundamental SQL expertise is a must when hiring MySQL engineers. Your ideal applicant ought to:

Create secure and optimized SQL queries.

Recognize data modelling and normalization.

Understand performance indexing techniques.

Have the ability to create triggers and stored procedures.

These abilities allow a MySQL engineer to increase speed and storage efficiency, which is essential for rapidly expanding tech companies. 

Experience in performance tuning and troubleshooting

Performance issues arise as your data grows. A proficient MySQL developer ought to be able to:

Find and fix slow queries.

Keep an eye on and maximize database load.

Make use of programs such as MySQLTuner, EXPLAIN, and performance schema.

Set up the server's parameters for best performance.

In SaaS setups or real-time applications where latency is a concern, this becomes even more crucial.

Data backup, security, and recovery skills

A business can be destroyed by data breaches or loss. A trustworthy MySQL developer will:

Configure automated backup plans.

Put user roles and permissions into practice.

Secure connections and encrypt data.

Create scenarios for catastrophe recovery.

These abilities guarantee data security and regulatory compliance, which is particularly important for the high-security, healthcare, and financial sectors.

Integration and collaboration capabilities

MySQL engineers don't work alone. They frequently work along with software developers and backend teams. You might also have to:

Fill positions like hiring backend developers to assist with application-side logic.

Employ database engineers for distributed or more complicated settings.

Hire software developers to create data-driven, scalable products.

A MySQL engineer with cross-departmental collaboration skills guarantees more efficient operations and agile delivery.

Familiarity with modern tools and frameworks 

Present-day MySQL programmers must to be knowledgeable about:

ORMs such as Eloquent, Sequelize, or Hibernate.

Cloud-based solutions like Google Cloud SQL and AWS RDS.

Tools for monitoring such as Prometheus or Datadog.

Pipelines for CI/CD database updates.

For the majority of tech businesses that use cloud-native solutions, this demonstrates adaptability in contemporary development settings.

Closing Remarks

If you are serious about your data infrastructure, you should hire MySQL developers. Seek applicants that have excellent technical proficiency together with teamwork and problem-solving abilities. Results can be increased by matching your MySQL specialist with the appropriate team, such as hiring software engineers, regardless of whether you're managing a legacy system or scaling a SaaS platform. Choosing the proper database hiring is a commercial choice for tech firms, not just a backend one.

[modulesap]

A new SAP BASIS consultant faces several challenges when starting in the role. Here are the most common ones:

1. Complex Learning Curve

SAP BASIS covers a broad range of topics, including system administration, database management, performance tuning, and security.

Understanding how different SAP components (ERP, S/4HANA, BW, Solution Manager) interact can be overwhelming.

2. System Installations & Migrations

Setting up and configuring an SAP landscape requires deep knowledge of operating systems (Windows, Linux) and databases (HANA, Oracle, SQL Server).

Migration projects, such as moving from on-premise to SAP BTP or HANA, involve risks like downtime and data loss.

3. Performance Tuning & Troubleshooting

Identifying bottlenecks in SAP system performance can be challenging due to the complexity of memory management, work processes, and database indexing.

Log analysis and troubleshooting unexpected errors demand experience and knowledge of SAP Notes.

4. Security & User Management

Setting up user roles and authorizations correctly in SAP is critical to avoid security breaches.

Managing Single Sign-On (SSO) and integration with external authentication tools can be tricky.

5. Handling System Upgrades & Patching

Applying support packs, kernel upgrades, and enhancement packages requires careful planning to avoid system downtime or conflicts.

Ensuring compatibility with custom developments (Z programs) and third-party integrations is essential.

6. High Availability & Disaster Recovery

Understanding failover mechanisms, system clustering, and backup/restore procedures is crucial for minimizing downtime.

Ensuring business continuity in case of server crashes or database failures requires strong disaster recovery planning.

7. Communication & Coordination

Working with functional consultants, developers, and business users to resolve issues can be challenging if there’s a lack of clear communication.

Managing stakeholder expectations during system outages or performance issues is critical.

8. Monitoring & Proactive Maintenance

New BASIS consultants may struggle with configuring SAP Solution Manager for system monitoring and proactive alerts.

Setting up background jobs, spool management, and RFC connections efficiently takes practice.

9. Managing Transport Requests

Transporting changes across SAP environments (DEV → QA → PROD) without errors requires an understanding of transport logs and dependencies.

Incorrect transport sequences can cause system inconsistencies.

10. Staying Updated with SAP Evolution

SAP is rapidly evolving, especially with the shift to SAP S/4HANA and cloud solutions.

Continuous learning is required to stay up-to-date with new technologies like SAP BTP, Cloud ALM, and AI-driven automation.

Mail us on contact@anubhavtrainings.com

Website: Anubhav Online Trainings | UI5, Fiori, S/4HANA Trainings

[centizen]

Overview of Types of Software Testing: Definitions, Objectives and Advantages

In the world of software development, testing plays a crucial role in ensuring the quality and reliability of software products. Software testing is a process that involves the identification of software defects, errors or vulnerabilities and verifying whether the software meets the specified requirements. With the growing complexity of software systems, testing has become an essential part of the software development life cycle. In this blog, we will explore the different types of software testing, their benefits and how they can help businesses ensure that their software products meet the highest standards of quality and performance.

Software Testing

Software testing is a process of verifying the functionality of software to find any issues or bugs. It evaluates whether the developed software met the specified requirements and identifies any defects in order to produce a quality product.

Types of Software Testing

Functional Testing

Functional testing is used to verify the software against its functional requirements and specification. Such tests don’t take into account how a process works. Instead, it focuses on the process’ intended outcome.

It primarily has the following four goals:

To evaluate the application’s essential features.

To evaluate the application’s usability and basic navigation without any restrictions.

To determine whether the system is user-accessible.

To check if there are any error situations and to see if the correct error messages are being displayed.

Types of Functional Testing

White Box and Black Box Testing White box testing involves testing the core aspects of software by examining its internal infrastructure and code. It can be implemented in unit testing, integration testing and system testing. In contrast, black box testing is done without any knowledge of the software’s internal code and is applicable in all four levels of functional testing, including non-functional testing.

Unit Testing Unit testing is performed to validate the functions of a specific part or unit of software and is carried out using four techniques: branch coverage, statement coverage, boundary value analysis and decision coverage. The advantages of unit testing include granular testing for easier defect pinpointing, enhanced understanding of specific functions for onboarding employees, and the ability to perform tests on independent modules without concern for other system components.

Component Testing Similar to unit testing, component testing accesses individual parts of an application, also called module testing. This type of testing is done by a QA professional in a black-box format and sometimes uses a stub and driver to simulate the interaction between components that rely on each other. The advantages of component testing include the ability to test the UI for usability and the ability to test against SQL injections for security reasons.

Integration Testing Integration testing involves testing software modules that have been logically integrated as a group. Different types of integration testing include the top-down approach, the bottom-up approach and the hybrid approach. The advantages of integration testing include the ability to test many parts in one go, the ability to track system defects in earlier stages of the Software Testing Life Cycle (STLC) and the ability to test modules that interact with APIs and third-party tools.

System Testing System testing is done after individual modules have been tested for integration and involve testing the entire system for failures or errors. This type of testing includes regression testing, functional testing and recovery testing. The advantages of system testing include the ability to test for the reliability of the system and its ability to recover from possible system crashes and the ability to ensure the system performs optimally without crashes.

Acceptance Testing The final phase of software functional testing is where the client verifies if the product meets business requirements before releasing it. There are three types: Alpha testing detects major bugs, Beta testing allows end-users to provide feedback, and User Acceptance testing checks if it works as intended for the end user. The advantages of Acceptance testing are:

It omits misalignment between tech teams and management

Identifies red flags that can save from financial and reputational losses

It instills confidence in stakeholders and business owners.

Non-functional Testing

Non-functional testing is a type of software testing that focuses on the readiness of an application from a non-functional perspective. It is conducted after functional testing and deals with non-functional aspects of the application, including performance, reliability and scalability. The objective is to ensure that the application meets the non-functional requirements and is optimized for user experience.

Types of Non-functional Testing

Volume Testing Volume testing checks the application’s performance under high volumes of data to ensure it stays within tolerable limits. It can be used as a benchmark to calculate system scalability and can reduce maintenance and the overall risk of failure.

Localization Testing Localization testing ensures software is customized for the targeted country and checks linguistic and regional aspects of the application. It reduces support costs, generates end-user loyalty and improves user experience and regional language support.

Performance Testing Performance testing analyzes software performance and improves traffic retention. It includes load testing, stress testing, scalability testing, spike testing and soak testing. Performance testing improves scalability, ensures the application delivers the project’s vision and ensures users receive a frustration-free final product.

Monkey Testing Monkey testing involves inputting random values and ensuring the application does not crash. It helps find out-of-the-box errors, breaks the system to find bugs and can be accessed by anyone with knowledge of the system or none at all.

Security Testing Security testing is conducted to identify potential threats to the application, gauge overall risk and take necessary measures to keep hackers and data phishers at bay. The four types of security testing are vulnerability scanning, penetration testing, risk assessment and security audit. It provides a third-party expert opinion, tests cyber-defense capabilities and reveals unknown vulnerabilities.

Reliability Testing Reliability testing ensures that software performs optimally for a set time duration under normal load conditions and reduces post-deployment costs by identifying repeating failures. It checks each operation of the software at least once and helps to find the structure of repeating failures.

Compatibility Testing Compatibility testing measures how the software works in different environments and ensures it is supported across all environments that targeted users might be using. It enhances the software development process and identifies compatibility issues like UI defects, font variation, color variations, broken tables and broken frames.

Portability Testing Portability testing determines the degree of feasibility in porting from one server to another, helping to future-proof the application. It helps in application scalability, identifies dependencies between two applications and ensures flawless performance on most common browsers and devices.

Different Levels of Testing To check software reliability, performance and stability, there are three types of testing: Interface testing, Smoke testing and Sanity testing.

Smoke testing assesses the core functionalities and helps detect 80% of bugs in the early stages.

Sanity testing checks any functional issues of the software after introducing new features or changes.

Interface testing is a type of testing that checks the communication between different software via an interface.

Summary

The software testing blog discusses various types of testing that software undergoes before it is ready for deployment. The blog covers functional testing, non-functional testing and other types of testing, including security testing, reliability testing, compatibility testing and portability testing. Each type of testing is described, along with its advantages and how it contributes to making the software reliable, secure and user-friendly. By following the best practices for testing, businesses can ensure that their software performs optimally, meets user expectations and delivers an excellent user experience.