Explore Redis, a real-time data platform, for high-performance caching and real-time data processing. Learn in-memory data structures, caching patterns, pub/sub messaging, persistence, clustering, and Redis integration with .NET, cloud platforms, and distributed systems at scale.
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Prevent duplicate job execution in distributed systems! This .NET guide covers Redis & SQL locking, fencing tokens, leases, monitoring, and best practices.
Explore IMemoryCache vs. Redis for .NET caching. Understand their architectural differences, performance, scalability, and use cases to optimize your application.
Boost ASP.NET Core app performance with Redis distributed caching! Learn to set up, configure, and implement caching for scalable, high-traffic applications. Optimize your database workload and improve user experience.
Discover how Real World Asset (RWA) tokenization unlocks liquidity for real estate owners. Learn how tokenized property enables fractional ownership, faster funding, and global investor access without selling full control.
Real estate tokenization offers liquidity and global investor access, but it also brings regulatory, technical, and market risks. Learn the main risks of tokenizing property and how to mitigate them effectively.
Explore how Real World Asset (RWA) tokenization has already raised hundreds of millions in real estate. Learn from successful projects like Aspen Coin, RealT, Lofty AI, and Blocksquare, and see how property owners can follow their model to raise liquidity.
Understand the legal and regulatory landscape of Real World Asset (RWA) tokenization for real estate. Learn how property owners can issue compliant tokens, raise funds, and attract investors safely.
Learn how real estate owners can unlock liquidity through Real World Asset (RWA) tokenization. Discover leading case studies, technology models, compliance, and how Mahesh Chand helps property owners architect tokenized real estate ecosystems.
Boost ASP.NET Core API performance with a hybrid caching strategy! Combine MemoryCache for speed and Redis for scalability. Reduce latency and database load significantly.
Unlock blazing-fast performance with Redis! This guide explores Redis as a versatile in-memory data store for caching, real-time apps, and MERN stack optimization.
Master ASP.NET Core caching with this comprehensive guide! Explore Redis, memory caching, and distributed patterns for building high-performance applications. Learn real-world strategies, optimization techniques, and best practices to drastically improve response times and reduce database load. Includes code examples and performance monitoring tips.
RWA-backed stablecoins are digital currencies pegged to fiat but backed by real-world assets like gold, real estate, or U.S. Treasuries. Learn how they work, their benefits, risks, and why they’re shaping the future of stablecoins and DeFi.
This article demonstrates how to implement JWT authentication in an ASP.NET Core Web API using Redis cache for efficient token management. By generating access and refresh tokens during login and storing them in Redis, the API achieves faster token validation, improved scalability, and automatic expiration handling.
Learn how to integrate Redis with .NET Core to boost app performance using distributed caching. This guide covers setup, key libraries like StackExchange.Redis, and practical use cases with C#.
As cloud practitioners, we rely on the Azure Pricing Calculator to estimate the cost of resources. However, there are often hidden costs, such as egress fees, replication charges, and monitoring costs, that may not be immediately visible in the calculator.
Hybrid cache simplifies .NET caching by unifying in-memory and distributed approaches. It supports extensible code, concurrency management, multi-source caching, Redis integration, serialization, and customizable features for robust caching solutions.
RedisString has long been the basic and most common data type in Redis. Recently, RedisJSON has gained popularity as a module that allows you to store, query, and manipulate JSON data natively.
This article explores caching techniques and their implementation in Azure, focusing on Azure Redis Cache. It explains how caching enhances web application performance by storing frequently accessed data in memory.
Learn how to implement a distributed lock using Redis in .NET Core. This guide covers the essentials of setting up Redis for distributed locking, managing concurrency, and ensuring data consistency in your .NET Core applications.
In this article we will learn how sessions are maintained in a load balancing environment using Redis Cache.
"Implement Cache-Aside pattern in ASP.NET Core with Azure Redis Cache for efficient data retrieval. Cache data on-demand, reducing database load and enhancing application performance through distributed caching.
Azure Redis Cache is based on Redis Cache. Redis cache is an open source, in-memory database that is used for improving the performance of an application by retrieving and storing the data in Redis cache using Key-value format. In this article, we will learn step-by-step how to use Azure Redis Cache in Azure.
In this article, we are going to use Redis as our primary database for our ASP.NET Core Web API project in .NET 8. Learn about Redis, its data types, and the pros and cons of using it as a primary database. Follow step-by-step instructions to set up Redis in a container and use it with .NET 8 Web API.
Learn how to create Azure Cache for Redis, obtain connection details, connect from C# with StackExchange.Redis, and refresh a cache key's expiration time.
In this article, you will learn how to implement of the Redis Cache in the.NET Core API.