imperative-to-reactive
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imperative-to-reactive
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BlockHound: how it works
One of the talks in my current portfolio is Migrating from Imperative to Reactive. The talk is based on a demo migrating from Spring WebMVC to Spring WebFlux in a step-by-step approach. One of the steps involves installing BlockHound: it allows to check whether a blocking call occurs in a thread it shouldn't happen and throws an exception at runtime when it happens.
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Kicking Spring Native's tires
To experiment with Spring Native, I used my imperative-to-reactive demo code. It offers a couple of challenges concerning AOT:
CacheAdapter
We haven't tracked posts mentioning CacheAdapter yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
BlockHound - Java agent to detect blocking calls from non-blocking threads.
CacheCow - An implementation of HTTP Caching in .NET Core and 4.5.2+ for both the client and the server
spring-native - Spring Native is now superseded by Spring Boot 3 official native support
CacheManager - CacheManager is an open source caching abstraction layer for .NET written in C#. It supports various cache providers and implements many advanced features.
KendoReact Grid - Issue tracker - KendoReact http://www.telerik.com/kendo-react-ui/
SharpRepository - C# Generic Repository for use with Entity Framework, RavenDB and more with built-in caching options.
Foundatio - Pluggable foundation blocks for building distributed apps.
Akavache - An asynchronous, persistent key-value store created for writing desktop and mobile applications, based on SQLite3. Akavache is great for both storing important data as well as cached local data that expires.
Lazy Cache - An easy to use thread safe in-memory caching service with a simple developer friendly API for c#
Electron.NET - :electron: Build cross platform desktop apps with ASP.NET Core (Razor Pages, MVC, Blazor).
NCache - NCache: Highly Scalable In-Memory Distributed Cache for .NET
Green Donut