#gRPC .NET

[atplblog]

Price: [price_with_discount] (as of [price_update_date] - Details) [ad_1] A book for the aspiring .NET software architect - design scalable and high-performance enterprise solutions using the latest features of C# 12 and .NET 8Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesGet introduced to software architecture fundamentals and begin applying them in .NETExplore the main technologies used by software architects and choose the best ones for your needsMaster new developments in .NET with the help of a practical case study that looks at software architecture for a travel agencyBook DescriptionSoftware Architecture with C# 12 and .NET 8 puts high-level design theory to work in a .NET context, teaching you the key skills, technologies, and best practices required to become an effective .NET software architect.This fourth edition puts emphasis on a case study that will bring your skills to life. You'll learn how to choose between different architectures and technologies at each level of the stack. You'll take an even closer look at Blazor and explore OpenTelemetry for observability, as well as a more practical dive into preparing .NET microservices for Kubernetes integration.Divided into three parts, this book starts with the fundamentals of software architecture, covering C# best practices, software domains, design patterns, DevOps principles for CI/CD, and more. The second part focuses on the technologies, from choosing data storage in the cloud to implementing frontend microservices and working with Serverless. You'll learn about the main communication technologies used in microservices, such as REST API, gRPC, Azure Service Bus, and RabbitMQ. The final part takes you through a real-world case study where you'll create software architecture for a travel agency.By the end of this book, you will be able to transform user requirements into technical needs and deliver highly scalable enterprise software architectures.What you will learnProgram and maintain Azure DevOps and explore GitHub ProjectsManage software requirements to design functional and non-functional needsApply architectural approaches such as layered architecture and domain-driven designMake effective choices between cloud-based and data storage solutionsImplement resilient frontend microservices, worker microservices, and distributed transactionsUnderstand when to use test-driven development (TDD) and alternative approachesChoose the best option for cloud development, from IaaS to ServerlessWho this book is forThis book is for engineers and senior software developers aspiring to become architects or looking to build enterprise applications with the .NET stack.Basic familiarity with C# and .NET is required to get the most out of this software architecture book.Table of ContentsUnderstanding the Importance of Software ArchitectureNon-Functional RequirementsManaging RequirementsBest Practices in Coding C# 12Implementing Code Reusability in C# 12Design Patterns and .NET 8 ImplementationUnderstanding the Different Domains in Software SolutionsUnderstanding DevOps Principles and CI/CDTesting Your Enterprise ApplicationDeciding on the Best Cloud-Based SolutionApplying a Microservice Architecture to Your Enterprise ApplicationChoosing Your Data Storage in the cloudInteracting with Data in C# - Entity Framework CoreImplementing Microservices with .NETApplying Service-Oriented Architectures with .NETWorking with Serverless - Azure FunctionsPresenting ASP.NET Core(N.B. Please use the Look Inside option to see further chapters) Publisher ‏ : ‎ Packt Publishing; 4th ed. edition (28 February 2024) Language ‏ : ‎ English Paperback

‏ : ‎ 756 pages ISBN-10 ‏ : ‎ 1805127659 ISBN-13 ‏ : ‎ 978-1805127659 Item Weight ‏ : ‎ 1 kg 280 g Dimensions ‏ : ‎ 19.05 x 4.34 x 23.5 cm Country of Origin ‏ : ‎ India [ad_2]

[keploy]

Getting Started with Microservices Testing: A Complete Guide

Modern software applications are no longer monolithic. Organizations are increasingly adopting microservices architecture to improve scalability, modularity, and deployment agility. But with this shift comes a new challenge: microservices testing.

In a microservices-based system, testing becomes significantly more complex due to the large number of independently deployable services, their interdependencies, and the distributed nature of the architecture. This guide will help you understand microservices testing, its types, challenges, strategies, and best practices to ensure your services are reliable, resilient, and production-ready.

What Is Microservices Testing?

Microservices testing is the process of validating individual microservices, their interactions, and the system as a whole to ensure correct functionality, performance, and resilience. Unlike monolithic testing, where the focus is on a single codebase, testing microservices requires validating multiple decoupled services—often owned by different teams—and their APIs, databases, and communication protocols.

Why Microservices Testing Is Crucial

Service Independence: Since each microservice can be developed and deployed independently, bugs can arise in isolation.

Inter-Service Communication: REST, gRPC, messaging queues—microservices rely heavily on inter-service calls.

Data Integrity: Each service may have its own data store, making consistency and data validation essential.

Deployment Automation: With CI/CD pipelines pushing frequent updates, tests act as a safety net.

Without a strong testing strategy, microservices can become fragile, prone to regression, and hard to debug—resulting in cascading failures in production.

Key Challenges in Microservices Testing

Distributed Nature: Services may run on different hosts, containers, or clusters.

Data Management: Testing with consistent, isolated, and realistic test data across services is difficult.

Environment Parity: Replicating production-like environments for test purposes is costly and complex.

Mocking and Stubbing: Each service may require mocks of dependent services to test in isolation.

Test Flakiness: Network latency, timeouts, or service downtime can cause intermittent test failures.

These challenges make it clear that traditional testing approaches alone aren’t enough.

Types of Testing in Microservices

1. Unit Testing

Focuses on individual functions/methods within a microservice.

Fast and isolated.

Ensures internal logic works as expected.

Tools: JUnit, PyTest, GoTest, NUnit

2. Component Testing

Tests a complete microservice (APIs + DB + logic) in isolation.

Mocks dependencies like databases or downstream services.

Simulates real-life scenarios.

3. Contract Testing

Ensures the interface (contract) between services is honored.

Provider and consumer services agree on the structure of requests/responses.

Tools: Pact, Spring Cloud Contract

4. Integration Testing

Validates the interaction between two or more microservices.

Includes network communication, API contracts, and data flow.

Can be fragile if dependent services are not available or unstable.

5. End-to-End (E2E) Testing

Tests the system as a whole, from frontend to backend services.

Often slower and more brittle but useful for validating user journeys.

Tools: Cypress, Selenium, Playwright

6. Performance Testing

Evaluates the responsiveness and stability of services under load.

Helps identify bottlenecks or resource leaks.

Tools: JMeter, Gatling, k6

7. Chaos Testing

Introduces failures like service crashes, latency, or network issues.

Helps assess system resilience and fallback mechanisms.

Tools: Gremlin, Chaos Monkey

Microservices Testing Pyramid

A well-balanced testing strategy follows a layered approach:

Unit Tests – Large base, fast, run frequently

Component/Integration Tests – Validate logic across services

Contract Tests – Enforce service boundaries

E2E Tests – Minimal, slow, validate critical flows

Following this testing pyramid helps maintain speed, reliability, and test coverage without excessive flakiness.

Best Practices for Microservices Testing

Isolate Tests: Keep unit/component tests independent from external dependencies using mocks/stubs.

Use Test Containers: Tools like Testcontainers help spin up disposable services or DBs during tests.

Adopt CI/CD Pipelines: Automate test runs on every commit or pull request.

Enable Observability: Use logs, traces, and metrics to debug test failures in distributed environments.

Shift Left: Write tests early, not after code is deployed.

Use Contract Tests: Validate API agreements without needing full integration tests.

Leverage Tools Like Keploy: Keploy captures real API traffic to auto-generate tests and mocks—helping test services in isolation without rewriting test cases manually.

Real-World Example

Imagine you're working on an e-commerce platform with the following services:

User Service – Manages registration and login

Product Service – Handles inventory and listings

Order Service – Processes orders and payments

Here’s how testing would be applied:

Unit tests validate user authentication logic.

Component tests check the order processing logic with a mock payment gateway.

Contract tests ensure the product service sends data in the expected format.

Integration tests validate that placing an order updates inventory.

E2E tests verify a user can log in, add products to the cart, and check out.

By combining all these levels, you ensure coverage across functionality, communication, and edge cases.

Tools for Microservices Testing

Purpose

Tool Examples

Unit Testing

JUnit, PyTest, GoTest

API Testing

Postman, Keploy, Rest Assured

Contract Testing

Pact, Spring Cloud Contract

Service Mocking

WireMock, Mountebank, Keploy

Load Testing

JMeter, k6, Gatling

Test Containers

Testcontainers, Docker Compose

CI/CD Pipelines

GitHub Actions, Jenkins, GitLab

Role of Automation in Microservices Testing

Testing manually in microservices architecture is not scalable. Automation ensures:

Fast feedback loops

Higher test coverage

Reliable deployments

Cost-effective testing across environments

Tools like Keploy play a key role in automation by auto-generating test cases and mocks from actual traffic. This enables teams to test microservices in isolation—even in the absence of upstream/downstream services.

Final Thoughts

Microservices testing is not just about writing test cases—it’s about creating a robust, automated, and scalable testing strategy that ensures each service works independently and in harmony with others.

With distributed systems becoming the norm, mastering microservices testing is essential for maintaining product quality, performance, and reliability. Whether you're just starting out or looking to optimize your existing setup, embracing the right mix of testing types, tools, and practices will ensure your microservices architecture is built for success. Looking to automate your microservices testing? Try Keploy to capture traffic, generate tests, and create mocks effortlessly—reducing testing overhead and improving speed to deployment.

[eminencetech]

Optimizing Custom .NET Web Apps in 2025

.NET has come a long way — and with .NET 9 rolling out powerful features like output caching and HTTP/3 support, performance tuning is more technical (and important) than ever.

I came across (or compiled) this quick infographic that outlines:

Common performance bottlenecks in .NET apps

Modern optimization techniques (like gRPC and async I/O)

What to monitor and log for continuous improvement

It’s especially relevant for teams working on custom .NET development projects, or anyone offering web app development services at scale.

View the infographic: https://pin.it/2bUShUk8g

Would love to hear how your team is adapting to .NET 9’s performance tools.

[lakshmimonopoly1]

The Power of .NET: Building Scalable and Secure Applications

In today’s fast-evolving software industry, scalability and security are critical for the success of any application. Whether you're building enterprise-level software, cloud-based systems, or web applications, the .NET framework stands out as a robust solution. For aspiring developers looking to gain real-world skills, enrolling in the Best DotNet Training Institute in Hyderabad, Kukatpally, KPHB is an excellent step toward mastering this powerful technology stack.

Why .NET Is Trusted by Enterprises

.NET, developed by Microsoft, is a versatile and high-performance framework widely used for building scalable, maintainable, and secure applications. Its support for multiple programming languages, especially C#, gives developers the flexibility to work on different types of applications—desktop, web, mobile, and cloud-based. Moreover, the framework continues to evolve, with .NET Core and now .NET 6/7 offering cross-platform capabilities and improved performance.

Built for Scalability

Scalability is a crucial requirement for modern applications. .NET’s built-in support for asynchronous programming, load balancing, and cloud integration through Azure services makes it an ideal choice for businesses expecting to grow their user base. Features like dependency injection, modular architecture, and microservices support allow applications to be scaled up or down based on demand.

Strong Security Features

Security is another area where .NET excels. It offers built-in mechanisms like authentication, authorization, data encryption, and secure coding practices. With frameworks like ASP.NET Identity and integrations with OAuth and OpenID Connect, developers can build applications that are not only functional but also resistant to common threats and attacks.

Modern Development with .NET

With tools like Visual Studio, seamless GitHub integration, and strong support for RESTful APIs and gRPC, .NET enables developers to follow modern software practices. Continuous integration, automated testing, and containerization with Docker further enhance the development lifecycle, ensuring smooth deployment and maintenance.

Conclusion

.NET is a future-proof, enterprise-ready framework that empowers developers to build applications that are both scalable and secure. To gain hands-on experience and in-depth knowledge of the .NET ecosystem, join Monopoly IT Solutions Pvt. Ltd, A leading provider of career transformation and professional training in the software industry.

[australiajobstoday]

Lead II - Software Engineering

• gRPC Services”. Skills: Azure,Dot Net,Grpc,Wcf About Company: UST is a global digital transformation solutions… where problem is solved Additional Comments: “Tech Lead (.NET) Job Description: Seeking skilled Tech Lead (.NET) to guide… Apply Now

[aitoolswhitehattoolbox]

Lead II - Software Engineering

• gRPC Services”. Skills: Azure,Dot Net,Grpc,Wcf About Company: UST is a global digital transformation solutions… where problem is solved Additional Comments: “Tech Lead (.NET) Job Description: Seeking skilled Tech Lead (.NET) to guide… Apply Now

[chocolatedetectivehottub]

Golang developer,

Golang developer,

In the evolving world of software development, Go (or Golang) has emerged as a powerful programming language known for its simplicity, efficiency, and scalability. Developed by Google, Golang is designed to make developers’ lives easier by offering a clean syntax, robust standard libraries, and excellent concurrency support. Whether you're starting as a new developer or transitioning from another language, this guide will help you navigate the journey of becoming a proficient Golang developer.

Why Choose Golang?

Golang’s popularity has grown exponentially, and for good reasons:

Simplicity: Go's syntax is straightforward, making it accessible for beginners and efficient for experienced developers.

Concurrency Support: With goroutines and channels, Go simplifies writing concurrent programs, making it ideal for systems requiring parallel processing.

Performance: Go is compiled to machine code, which means it executes programs efficiently without requiring a virtual machine.

Scalability: The language’s design promotes building scalable and maintainable systems.

Community and Ecosystem: With a thriving developer community, extensive documentation, and numerous open-source libraries, Go offers robust support for its users.

Key Skills for a Golang Developer

To excel as a Golang developer, consider mastering the following:

1. Understanding Go Basics

Variables and constants

Functions and methods

Control structures (if, for, switch)

Arrays, slices, and maps

2. Deep Dive into Concurrency

Working with goroutines for lightweight threading

Understanding channels for communication

Managing synchronization with sync package

3. Mastering Go’s Standard Library

net/http for building web servers

database/sql for database interactions

os and io for system-level operations

4. Writing Clean and Idiomatic Code

Using Go’s formatting tools like gofmt

Following Go idioms and conventions

Writing efficient error handling code

5. Version Control and Collaboration

Proficiency with Git

Knowledge of tools like GitHub, GitLab, or Bitbucket

6. Testing and Debugging

Writing unit tests using Go’s testing package

Utilizing debuggers like dlv (Delve)

7. Familiarity with Cloud and DevOps

Deploying applications using Docker and Kubernetes

Working with cloud platforms like AWS, GCP, or Azure

Monitoring and logging tools like Prometheus and Grafana

8. Knowledge of Frameworks and Tools

Popular web frameworks like Gin or Echo

ORM tools like GORM

API development with gRPC or REST

Building a Portfolio as a Golang Developer

To showcase your skills and stand out in the job market, work on real-world projects. Here are some ideas:

Web Applications: Build scalable web applications using frameworks like Gin or Fiber.

Microservices: Develop microservices architecture to demonstrate your understanding of distributed systems.

Command-Line Tools: Create tools or utilities to simplify repetitive tasks.

Open Source Contributions: Contribute to Golang open-source projects on platforms like GitHub.

Career Opportunities

Golang developers are in high demand across various industries, including fintech, cloud computing, and IoT. Popular roles include:

Backend Developer

Cloud Engineer

DevOps Engineer

Full Stack Developer

Conclusion

Becoming a proficient Golang developer requires dedication, continuous learning, and practical experience. By mastering the language’s features, leveraging its ecosystem, and building real-world projects, you can establish a successful career in this growing field. Start today and join the vibrant Go community to accelerate your journey.

[netcode-hub]

✈️Build JWT Authentication API Service for Flight Reservation with .NET 9 gRPC | Microservices 🚀 https://youtu.be/2om4blSCElk

[korshubudemycoursesblog]

Master Angular 18 and ASP.NET 8.0: Your Gateway to Modern Web Development

Web development continues to evolve at an astonishing pace, with frameworks and technologies constantly being updated. If you’re keen on mastering two of the most in-demand skills, Angular 18 and ASP.NET 8.0, you’re on the right track. Together, these tools form a powerhouse duo for creating efficient, scalable, and dynamic web applications. In this article, we’ll explore why these technologies are vital, how they work together, and how you can leverage them to boost your career in web development.

What Makes Angular 18 and ASP.NET 8.0 Stand Out?

Angular 18: A Frontend Marvel

Angular 18, the latest version of Google’s popular TypeScript-based framework, comes packed with features that make frontend development smoother and more efficient. Its ability to handle complex Single Page Applications (SPAs) with ease makes it a go-to for developers. Key highlights include:

Enhanced Performance: Faster rendering and improved change detection.

Streamlined Tooling: Debugging and testing have become easier.

Modular Architecture: Encourages better organization and scalability.

ASP.NET 8.0: Backend Brilliance

ASP.NET 8.0 is a robust framework for building web APIs and dynamic server-side applications. Microsoft has added cutting-edge features in this version, such as:

Minimal APIs: Simplified development for RESTful services.

Better Integration with Blazor: Enhances full-stack development capabilities.

Improved Performance: Faster execution and resource management.

Why Combine Angular and ASP.NET?

Pairing Angular 18 with ASP.NET 8.0 creates a synergy that benefits both developers and end-users. Angular handles the frontend, providing a seamless user interface (UI), while ASP.NET manages the backend, ensuring secure data processing and storage. Together, they deliver high-performing applications that are user-friendly and robust.

Top Features of Angular 18

1. Signals for State Management

Angular 18 introduces Signals, a reactive system for managing state updates. This feature simplifies how data flows within an application.

2. Enhanced Dependency Injection (DI)

Angular’s improved DI makes it easier to manage services and reusable components, ensuring cleaner code.

3. Standalone Components

With standalone components, developers can now build and use components without having to include them in Angular modules, reducing overhead.

Top Features of ASP.NET 8.0

1. Minimal APIs for Simplified Development

Creating web APIs is now faster with minimal boilerplate code.

2. gRPC Performance Enhancements

Efficient communication between services using gRPC ensures better data handling and faster response times.

3. Cross-Platform Compatibility

Run your applications seamlessly across different operating systems.

How to Get Started with Angular 18 and ASP.NET 8.0

1. Setting Up the Development Environment

To begin, ensure you have the following installed:

Node.js and npm: For Angular development.

Visual Studio 2022: Ideal for ASP.NET projects.

.NET 8 SDK: Required for ASP.NET 8.0.

2. Building a Simple Angular Application

Start with a basic Angular project:

bash

Copy code

ng new my-angular-app

cd my-angular-app

ng serve

This command sets up a new Angular project and runs it locally.

3. Creating a Web API with ASP.NET 8.0

In Visual Studio, create a new project and select ASP.NET Core Web API. Add minimal API code like this:

csharp

Copy code

var builder = WebApplication.CreateBuilder(args);

var app = builder.Build();

app.MapGet("/", () => "Hello, World!");

app.Run();

Best Practices for Combining Angular and ASP.NET

1. Use RESTful APIs

Ensure your backend provides RESTful endpoints that your Angular frontend can consume effortlessly.

2. Leverage Dependency Injection

Both Angular and ASP.NET use DI to promote reusable and testable code.

3. Optimize for Performance

Minimize unnecessary API calls and use tools like Angular’s Ahead-of-Time (AOT) compilation to speed up your app.

Building a Real-World Project

Imagine creating an e-commerce platform with Angular 18 as the frontend and ASP.NET 8.0 as the backend. Here’s a high-level breakdown:

Frontend: Angular handles product pages, shopping carts, and user interactions.

Backend: ASP.NET manages user authentication, payment processing, and database operations.

Career Opportunities with Angular 18 and ASP.NET 8.0

1. High Demand in the Job Market

Skills in Angular and ASP.NET are highly sought after, making you a valuable asset to any company.

2. Diverse Roles

From full-stack developer to frontend specialist, mastering these tools opens up numerous career paths.

3. Freelancing and Entrepreneurship

Build your own apps or take up freelance projects, leveraging these technologies.

Learning Resources for Angular 18 and ASP.NET 8.0

1. Online Courses

Look for courses that focus on Master Angular 18 and ASP.NET 8.0 to get hands-on experience.

2. Official Documentation

Both Angular and ASP.NET have detailed guides to help you understand their features and implementation.

3. Community Support

Join forums and developer communities to share knowledge and solve issues.

Common Challenges and How to Overcome Them

1. Steep Learning Curve

Both Angular and ASP.NET have rich ecosystems, which can be overwhelming. Start small and focus on mastering core concepts first.

2. Integration Issues

Ensure your frontend and backend are well-synced by using tools like Postman for testing APIs.

3. Debugging Complex Applications

Utilize debugging tools like Chrome DevTools for Angular and Visual Studio’s debugger for ASP.NET.

Future Trends in Angular and ASP.NET Development

1. Enhanced AI Integration

Expect more AI-powered tools and libraries to integrate seamlessly with these frameworks.

2. Serverless Architectures

ASP.NET is already paving the way for serverless development.

3. Progressive Web Apps (PWAs)

Angular continues to be a preferred framework for building PWAs, ensuring better user experiences.

Conclusion

Mastering Angular 18 and ASP.NET 8.0 is a smart move for anyone looking to excel in modern web development. Together, they offer the perfect combination of power, flexibility, and efficiency, enabling you to build everything from dynamic SPAs to scalable web APIs. Whether you’re a beginner or an experienced developer, these technologies are worth your investment.

[takepara]

2024年11月21日の記事一覧

(全 15 件)

X1

自己満になってない？スタートアップが意識したい、コーポレートサイト3つのポイント｜今瀧健登 / Z世代の企画屋

CSSのwidth: 100%;のより良い代替手段として、stretchキーワードが実はかなり便利です

自動運転トラックと貨物鉄道による実証実験--共用コンテナ開発で積み替え時間短縮へ

10 周年を迎えた AWS Lambda – 過去を振り返り、未来を見据えて

EC事業の売上に対して、物流費用が占める割合で多かったのは21~30％

河野太郎氏「次はe-Taxを自動入力にして、年末調整をやめよう」

マイクロソフト、「Azure Local」発表。��スペックのサーバもAzureのエッジとして利用可能に

Amazon CloudFront now accepts your applications’ gRPC calls

AWS Lambda SnapStart for Python and .NET functions is now generally available

【PHP8.4】exitが言語構造ではなくなった

旭化成エレ、デジタル/アナログ完全セパレートソリューションを拡充する新DAC「AK4498EX」

自転車で信号無視の10歳児が車と衝突　「過失割合100％」　保護者に賠償リスク

『ファミコン版ドラクエ3は、容量が足りなくてタイトルロゴ画面を削った』というのは嘘→入れるスペースが残って無かったのでそもそもロゴは作ってない

Dialog と Popover #10

[mindfiresolutions1]

How a .NET Development Company Can Help Build High-Performance APIs

In today’s fast-paced digital landscape, APIs (Application Programming Interfaces) are the foundation of connectivity between diverse software applications, driving efficiency and interoperability across platforms. As businesses strive to enhance user experience, scalability, and functionality, building high-performance APIs becomes a priority. A reliable .NET Development Company can bring robust expertise in API development, ensuring secure, scalable, and efficient solutions that meet unique business needs. In this article, we’ll explore how a .NET development company contributes to high-performance API development, key benefits of leveraging .NET for APIs, and considerations when migrating from legacy systems, such as Migrating from ColdFusion to ASP.NET Core.

Why .NET for API Development?

The .NET framework, and more recently .NET Core, provides a comprehensive set of libraries, tools, and features to build efficient APIs. It supports multiple programming languages (such as C# and F#), runs on multiple operating systems (Windows, Linux, macOS), and offers strong compatibility with various platforms. This flexibility and power make .NET a solid choice for developing APIs tailored for performance, security, and scalability.

Key Benefits of .NET for High-Performance APIs

Speed and Performance: .NET is known for its high-speed execution and optimized performance, which is critical for APIs that must handle many requests quickly. .NET Core, in particular, is designed with speed in mind, offering enhancements that ensure minimal memory usage and high throughput.

Cross-Platform Compatibility: .NET Core’s ability to operate across different operating systems enables companies to build APIs compatible with Linux, Windows, and macOS. This allows APIs to be deployed seamlessly in varied environments, supporting a broad range of clients.

Security and Reliability: Security is essential for any API, and .NET’s built-in authentication and authorization features provide a strong foundation. Microsoft regularly updates .NET with security patches, safeguarding APIs against vulnerabilities and unauthorized access.

Scalability: APIs built with .NET can be scaled easily to accommodate growing workloads. As business needs evolve, a well-designed .NET API can be scaled up without compromising performance, ensuring a responsive experience even as demand increases.

How a .NET Development Company Builds High-Performance APIs

A dedicated .NET development company provides a team of skilled professionals experienced in building APIs that maximize .NET’s capabilities. Here are some ways they can assist in crafting high-performance APIs:

1. Architecture and Design Optimization

A .NET development company will conduct an in-depth analysis to understand the business requirements and objectives for the API. Using this information, they design a scalable architecture, choosing between RESTful and gRPC protocols to suit the use case. REST APIs are versatile and widely compatible, while gRPC, supported by .NET Core, is highly efficient for internal APIs requiring low latency and high-speed communication.

2. Performance-First Development Approach

Ensuring that APIs perform efficiently under heavy traffic involves leveraging best practices such as caching, load balancing, and minimizing database calls. A .NET development company can integrate caching mechanisms (such as Redis) to reduce database dependency and improve response times. Additionally, they can use asynchronous programming and dependency injection to optimize data handling, improving API responsiveness.

3. Seamless Migration and Integration

If a business is already using a legacy system, transitioning to a high-performance .NET API can bring immediate benefits. For instance, Migrating from ColdFusion to ASP.NET Core provides better performance and compatibility with modern software solutions. This transition requires a structured migration plan to avoid downtime and ensure data integrity. A .NET development company can streamline this process by handling backend changes, rewriting code for compatibility, and optimizing it for .NET Core’s advantages.

4. Enhanced Security Measures

Security is paramount for any API dealing with sensitive information. A professional .NET development company will implement secure access control, using protocols such as OAuth 2.0 and JWT (JSON Web Tokens) to protect data. They also ensure that the API meets security compliance standards, including data encryption, to safeguard against common threats like injection attacks and cross-site scripting (XSS).

5. Testing and Quality Assurance

Before deploying the API, rigorous testing ensures that the API performs as expected under various conditions. .NET development companies use automated testing frameworks, such as NUnit and xUnit, to run load testing, integration testing, and security assessments. This process allows for the identification and resolution of potential bottlenecks, ensuring the API is ready for high traffic without compromising performance or functionality.

6. Ongoing Maintenance and Support

Post-launch, a .NET development company offers maintenance and updates for the API. This involves monitoring the API’s performance, applying updates, and troubleshooting any issues that may arise. With continuous support, companies can be confident that their API remains efficient, secure, and compatible with the latest technologies.

Key Considerations When Migrating from ColdFusion to ASP.NET Core

Legacy applications, like those built on ColdFusion, may need an upgrade to meet the current performance demands and feature requirements of modern software. Migrating from ColdFusion to ASP.NET Core can bring numerous advantages, including enhanced speed, cross-platform compatibility, and improved developer support.

Here are some essential points to keep in mind:

Compatibility Analysis: Ensure that ASP.NET Core supports all the functionalities that were previously built in ColdFusion. A .NET development company can analyze the current features and ensure compatibility.

Data Migration: Moving data from ColdFusion databases to a .NET-compatible database (such as SQL Server or PostgreSQL) requires careful planning and execution. Data security and accuracy during migration are crucial for a successful transition.

Code Refactoring: ColdFusion and ASP.NET Core have different architectures, which means some code will need refactoring. A .NET development company can handle this efficiently, ensuring that refactored code is optimized for performance.

Testing and Debugging: Once migration is complete, extensive testing ensures the new API works as expected. Load testing helps confirm the API’s resilience under different usage scenarios.

Real-World Applications of High-Performance .NET APIs

.NET APIs are used in diverse applications, from e-commerce platforms and finance apps to IoT systems and healthcare platforms. The .NET framework’s robustness and flexibility make it ideal for creating APIs that meet high-performance requirements in complex, data-driven industries. Here are some examples:

E-Commerce: APIs for e-commerce platforms built on .NET Core can handle massive traffic loads, process secure transactions, and integrate with external payment gateways seamlessly.

Healthcare: Healthcare APIs require strict security measures, efficient data handling, and seamless integration with various systems. .NET’s data security features and support for interoperability make it an ideal choice.

Financial Services: Financial applications need fast, reliable APIs to process transactions, manage user authentication, and integrate with financial data sources. .NET offers the security and performance needed for these applications.

Conclusion

A high-performance API is the backbone of digital transformation for any business seeking to enhance connectivity, scalability, and user satisfaction. Partnering with a .NET Development Company ensures that businesses receive well-architected, secure, and efficient APIs that harness the full potential of the .NET framework. From handling complex integrations and data migrations to deploying scalable and secure solutions, .NET development companies can help build APIs that keep businesses ahead in an increasingly connected world. Whether it’s Migrating from ColdFusion to ASP.NET Core or developing an API from scratch, the expertise of a .NET development company ensures a future-ready API solution designed for success.

[keploy]

Capture gRPC Traffic going out from a Server

How does gRPC work? A quick Google search would tell you that it uses HTTP/2.0 under the hood, but that's about it. Most available guides talk about gRPC internals by assuming that you are already deeply familiar with HTTP/2.0, and the only proper documentation for HTTP/2 is the official RFC document, which doesn't contain implementation details, and talks in abstract terms. All of this might be a bit difficult to grasp, unless you've inspected the capture gRPC traffic manually, at least once.

In this blog, we try to capture (log) the request and response from a gRPC client and server. This version assumes that you have access to the source code of the server.

NOTE: It is also possible to log the traffic without having access to the source code of the client or server. We will discuss this in future blogs.

Start a gRPC Server

The official documentation guides you on how to create a gRPC server. The core component is:

First, we create a listener that listens on the given TCP address using net.Listen. We then initialize a Capture gRPC server using grpc.NewServer, register the generated protos and RPC methods and finally, we start serving the requests using server.Serve. If you look at the function arguments of the Serve method, you'll notice that it requires a net.Listener. Lucky for us, net.Listen already outputs a net.Listener which we can reuse here to run the gRPC server. But what if we also want to inspect the traffic that goes through net.Listener before it is consumed by the Serve method?

Interfaces

One of the most important constructs in Go is an interface. It focuses on abstracting out the implementation details from the end user and treating certain functionalities as a black box. In short, we only focus on what is being done, instead of how.

Digging a bit deeper, it also says that the Accept method should yield a net.Conn, which is again an interface.

Fake Connection

Note that the Serve method accepts an interface, it doesn't care about how it is implemented. What if we could pass in a custom struct with a dummy implementation of all the methods corresponding to the interface? That works during the compilation phase but would fail to serve the actual gRPC requests as the dummy implementation no longer talks to the gRPC client using a TCP connection. How do we get the best of both worlds, i.e., we don't want to spend the effort writing a TCP implementation from scratch, but at the same time, we want to act as a middleman before sending the actual traffic to the client and server.

We can achieve this by utilizing the current implementation of net.Conn from the net package. We wrap the struct implemented in the original interface, and we shadow all the methods, which internally calls the inner struct's methods, before printing some log lines. A sample implementation might look like:

Fake Listener

Similarly, we can pass in a fake listener that wrappers our fake connection for each Accept call. It mirrors all other function calls of the original listener.

Tying it All Together

Once we have the fake connection and listener setup, we can just invoke the gRPC server's Serve method, but with our custom listener.

Sample Traffic

If you run the server with the custom implementation of the interfaces, you'll see these log lines. Note that the client traffic is omitted for brevity.

Application: Capture Redis Traffic from Client

Let's apply whatever we've learned to capture Redis traffic from a client connection. If you look at the documentation of the Redis package, you'll notice the NewClient function which takes in a list of dial options and returns a client, which is a struct with hidden fields. Inspecting redis.Options reveals that it directly accepts the IP and port of the Redis server. But if you do a deep dive into all the fields in the struct, you'd notice this field

This means that manual IP and port are low in priority as compared to this Dialer. Hence, to capture traffic, all we need to do is create a fake net.Conn wrapping of the original net.Conn from the Redis server, and create a dialer function that would act as a wrapper over this fake connection. After that, we should be able to view the traffic exchanged in the logs.

Why Capture gRPC Traffic?

Keploy is a toolkit for generating E2E tests for APIs, along with the mocks for the dependency calls (database, Redis, gRPC, etc). However, traditionally, it followed the SDK approach, wherein each developer had to add a hook in their handlers that would let Keploy capture the traffic. This approach, although working, is not feasible for scaling across multiple languages, and different routers for the underlying APIs. It also assumes that the caller has access to the source code of the application.

To overcome this problem, we at Keploy, are working on V2 of this project, which would be language agnostic, as it captures the traffic on the TCP connection level. As part of my GSoC project, I'm working on ensuring that we correctly replay and capture gRPC traffic.

Not a lot of people (including me) have deep networking knowledge, hence, after struggling for a couple of days trying to trace the order of operations in which a client talks to the server, it finally struck me that I could replace the listeners with fake ones, it was an amazing experience. I could finally see what was going on in the system, instead of just guessing or reading stuff on the internet. As they say, you learn by doing!

Next Steps

Now that we have the traffic from the client and server side, we still need to make sense of it. Right now, it's just a series of 8-bit numbers (or a byte slice). How do we make sense of these numbers, for example, how do we determine if this is a capture gRPC traffic? Who sends the first message, client or server? Is there a predefined order in which the clients and server communicate with each other? How are messages multiplexed? How are headers compressed? How do you interpret the wire format of the body and make it human-readable and editable?

We'll talk about some of these in the upcoming blogs. Stay tuned!

[reportwire]

Playing with gRPC and .NET 6: Client Side

Playing with gRPC and .NET 6: Client Side

2022-09-06 18:11:52 In my previous article, I focused on how we can create a gRPC server using .NET. Now, I want to show you how we can create a gRPC client using .NET. In the next image, I mark the items that we will focus on this tutorial. Prerequisites I’m using macOS, and the next commands are specific to this OS: gRPC compiler: To install Protobuf compiler, you can execute this in a…