Recently published articles

Serverless with Minimal APIs in .NET: Productivity and Scalability in the Same Package This article explores the integration of the serverless model with Minimal APIs in .NET, highlighting its advantages in terms of simplicity, scalability, and efficiency in development. Minimal APIs allow for rapid creation of RESTful APIs with less code, making testing and maintenance easier. Their adoption, alongside the serverless model, offers a broad set of benefits such as increased productivity, automatic scalability, and the potential for cost reduction.

Mastering SpinLock in Concurrency Control in .NET This article explores the use of SpinLock in concurrency control in .NET applications, highlighting its effectiveness in high-performance and low-latency scenarios. The SpinLock is a lightweight locking structure that allows a thread to actively wait for a lock, being more efficient than traditional locks when the wait time is short.

Redis and DynamoDB: Intelligent Caching and Scalable Persistence in Microservices This article explores the integration of Redis and DynamoDB to optimize persistence and performance in microservices architectures. The combination of Redis's in-memory cache with DynamoDB's scalability addresses challenges such as latency in database calls and data fragmentation. The article discusses caching strategies, such as cache invalidation and performance monitoring, and presents practical examples in C#.

Monorepo vs. Monolith: A Comparative Study in .NET Applications This article explores the monorepo and monolith software development approaches, focusing on their characteristics, advantages, and disadvantages. The monorepo centralizes multiple projects in a single repository, facilitating dependency management and collaboration, but it can lead to scalability and complexity challenges.

Feature Flags in .NET Microservices: Impacts on Quality and Delivery Speed This article explores the implementation and benefits of Feature Flags in software development, especially in .NET microservices. Feature Flags allow for the activation or deactivation of functionalities in real-time, promoting agility and security in deliveries. The text discusses how they work, provides practical implementation examples, and highlights their benefits, such as safe deployment, A/B testing, and reversibility.

Depth Control in GraphQL APIs with .NET: A Secure Approach to Mitigating DoS Attacks This article provides an introduction to GraphQL, emphasizing its advantages over REST APIs and the security challenges, particularly regarding denial of service (DoS) attacks. It proposes the implementation of depth controls and complexity limits in GraphQL APIs using .NET to mitigate these risks. Through code examples, the article illustrates how to limit the depth of queries and calculate complexity.

Combined Application of Flyweight and Composite Patterns in Systems with Many Objects This article explores the combined application of the Flyweight and Composite design patterns in software development, highlighting their importance in optimizing performance and memory management in complex systems. The Flyweight pattern minimizes memory usage by sharing objects with common states, while the Composite pattern facilitates the manipulation of hierarchical structures.

Evaluation of the Use of PLINQ for Parallelization of LINQ Queries This article discusses the use of PLINQ (Parallel LINQ) for the parallelization of LINQ queries in C#. PLINQ allows the execution of operations on large collections more efficiently by leveraging multiple processor cores, resulting in significant performance improvements. The advantages, such as performance and scalability, and disadvantages, such as the overhead of parallelization and maintenance complexity, are discussed.

Implementation and Challenges of Redis and Memcached in Architectures with Horizontal Scalability This article explores the implementation of Redis and Memcached in architectures with horizontal scalability, highlighting their features, challenges, and best practices. Both technologies are essential for optimizing application performance in high-demand environments, with Redis offering persistence and support for complex data structures, while Memcached is simpler and more efficient for volatile data.