Category: C#

.Net Core, C#, Distributed Systems, Kafka

Mastering Kafka In .NET: Schema Registry & Error Handling Made Simple

Building production-grade Kafka consumers in .NET requires more than just sending and receiving messages. In this post, we go beyond the basics to cover Schema Registry integration with Avro, handling multiple message types in a single topic, implementing robust error handling with Polly, and setting up a Dead Letter Queue (DLQ) for failed messages. You’ll learn how to design reliable, schema-safe Kafka workflows that are ready for real-world complexity.

C#, API, AWS, Libraries

Managing Users and Groups Easily with AWS Cognito in .NET

Managing user identities, groups, and security features effectively is crucial for modern applications. AWS Cognito simplifies these challenges, providing a robust identity management solution that integrates seamlessly with .NET and C#.

In this article, you’ll discover step-by-step guidance on effortlessly creating, managing, and deleting users and groups using AWS Cognito. You’ll also learn how to implement secure authentication mechanisms, including password management and two-factor authentication (2FA). Additionally, the article covers designing and handling multi-tenant scenarios, ensuring your application securely supports multiple clients or user groups.

Whether you’re building a small web app or a large-scale enterprise solution, mastering AWS Cognito with .NET helps streamline your user management workflows, significantly enhancing security and developer productivity.

C#, Tools

Elevate .NET Code Quality With NDepend: A Powerful Analysis Tool

In this blog post, I’ll introduce NDepend, a static code analysis tool designed for .NET and .NET Core projects. NDepend offers features such as code metrics, dependency analysis, technical debt estimation, and code rule enforcement to help you assess and enhance your code quality. The post will guide you through using NDepend to analyze your code base, identify issues, and implement best practices. While we’ll touch on its comparison with SonarQube, the main focus will be on understanding NDepend’s product and features. If you’re a .NET developer, NDepend can be a valuable asset for code improvement.

C#, .Net Core, Text Analysis

Full Text Search With ElasticSearch And .NetCore

Photo by Tobias Aeppli

In the ever-expanding realm of contemporary systems, where data storage is more abundant and cost-effective, our data repositories grow rapidly. From basic text files to content-rich multimedia documents, we accumulate a diverse range of data. The challenge arises when the need to search for specific data, words, or phrases—whether through a direct search or related terms—calls for thoughtful consideration and the right tools.

Among the tools available today, Elasticsearch stands out as a mature search engine, residing at the core of the Elastic Stack. With a robust foundation and widespread adoption across various fields, Elasticsearch has proven itself as a reliable and versatile solution. This blog post kicks off by explaining the fundamentals and concepts of Elasticsearch, shedding light on its workings. Later, it offers a practical, easily understandable implementation guide that addresses various aspects of text search and analytics. We’ll delve into working with Elasticsearch in .Net Core 8, using the new Elasticsearch C# client (version 8.0+), covering indexing, searching, and ultimately aggregating data.

Whether you’re new to navigating the world of Elasticsearch or a seasoned explorer aiming to deepen your understanding, I hope this two-part guide help get you up to speed easily in working in ElasticSearch for full text search and analysis in .net core.

C#, .Net Core, Distributed Systems, Libraries, Software Architecture

Implementing Distributed Locks in .NET Core with Redis or ZooKeeper

In today’s world of complex applications and intricate distributed systems, efficient resource management is of great importance. This blog post offers an insightful exploration of distributed locks in .Net, emphasizing their significance and practical applications. Most importantly, this post aims to assist you in making an informed decision to choose the most suitable tool for your specific needs.

Distributed locks, at their core, serve a critical role: ensuring that in environments with numerous nodes, processes, or threads competing for access to a shared resource, only one entity gains access at any given moment. Whether it involves coordinating access to a centralized storage system, managing database records, executing resource-intensive computations, or facilitating API calls, distributed locks play a pivotal role. They contribute to system efficiency by eliminating redundant work, preserving data accuracy, and strengthening system stability by preventing issues like data anomalies. This blog post not only covers the fundamental aspects of distributed locks but also provides insights into their practical implementations, equipping decision-makers with valuable knowledge to select the most appropriate tool for their project.

C#, .Net Core

Efficient Caching Made Easy with Redis in .NET Core

In the world of web applications, speed is a critical factor. Caching, a fundamental concept, is pivotal in achieving faster response times and efficient resource utilization. It involves storing frequently accessed data in a cache, which significantly improves user experiences.

Redis, or Remote Dictionary Server, is a versatile tool for optimizing .NET Core applications. It functions as a high-speed, open-source, in-memory data structure store primarily designed as a key-value store. However, its utility extends to serving as a cache, database, message broker, and streaming engine. Redis excels in speed due to its in-memory operation, making it ideal for scenarios where low-latency responses are essential. It empowers developers to choose the most suitable data structure for their specific needs, whether it’s simple key-value pairs, complex data relationships, or real-time streaming data. Redis is the solution to enhance your .NET Core applications’ efficiency and responsiveness, providing a smoother user experience while efficiently managing high user loads.