Search Results for "microservices"

Sentinel is a powerful flow control component that ensures the reliability and monitoring of microservices by taking “flow” as the breakthrough point. It covers multiple fields including flow control, concurrency limiting, circuit breaking, and adaptive system protection.

This is a Java implementation of the JSON Schema Core Draft v4, v6, v7, v2019-09 and v2020-12(partial) specification for JSON schema validation. In addition, it also works for OpenAPI 3.0 request/response validation with some configuration flags. For users who want to collect information from a JSON node based on the schema, the walkers can help. The default JSON parser is the Jackson which is the most popular one. As it is a key component in our light-4j microservices framework to validate...

.... Applications must respond with immediate feedback even while some back-end communication goes on. Pedestal makes it easy to deliver server-sent events and asynchronous updates. Pedestal works with a huge variety of containers and deployment options. Deploy applications or microservices on unikernels, Docker containers, or JAR files. Pedestal supports Tomcat, Jetty, Immutant (with Undertow), Vert.x, nginx, and Netty.

... complex DSLs for writing tests in Scala. Retrying HTTP requests for API calls is an essential technique for connecting microservices. airframe-control will provide essential tools for making your requests reliable with exponential backoff retry, jitter, circuit-breaker, rate control, etc. airframe-fluentd supports logging your metrics to fluentd in a type-safe manner. You just need to send your case classes as metrics for fluentd.