Search Results for "dependency core"

Elastic APM .NET Agent. The agent can automatically instrument .NET Framework, .NET Core, and .NET applications using the .NET CLR Profiling APIs. The Profiling APIs provide a way to instrument an application or dependency code without code changes.

LZ4 is lossless compression algorithm, providing compression speed > 500 MB/s per core (>0.15 Bytes/cycle). It features an extremely fast decoder, with speed in multiple GB/s per core (~1 Byte/cycle). A high compression derivative, called LZ4_HC, is available, trading customizable CPU time for compression ratio. LZ4 library is provided as open-source software using a BSD license. This benchmark simulates simple "static content transfer" scenario such as OS Kernel compression or video game's...

Apache SkyWalking is an open source application performance monitoring system designed specifically for microservices, as well as cloud-native and container-based(Docker, Mesos, Kubernetes) architectures. It is capable of monitoring, tracing and diagnosing distributed systems in cloud native architectures. Apache Skywalking supports the collection of telemetry data from a number of different sources and in different formats, such as Java, .NET Core, PHP, LUA agent and more. It also...

This repository is a production-minded Go backend starter that applies Clean Architecture to keep business logic independent from frameworks, databases, and delivery mechanisms. It organizes code into layers—domain, use cases, interfaces/adapters—so swapping an HTTP framework or database does not ripple through core logic. The template includes well-chosen scaffolding for configuration, logging, dependency injection, error handling, and request validation so teams can focus on business features. It demonstrates practical patterns for repository interfaces, DTOs, and consistent response envelopes that keep APIs predictable. Testing is first-class: ports and adapters are designed for mocking and table-driven tests, which reduces friction when you add features. ...

Dynamically observable thread pool framework to improve online operation guarantee capabilities for business systems. Dynamically change thread pool parameters when the application is running, including not limited to core, maximum thread, blocking queue size, and rejection strategy, etc., and support different node thread pool configuration differentiation under the application cluster. Buried when the application thread pool is running, it provides four alarm dimensions, such as...