Search Results for "data collection algorithm"

Sensu is an open source monitoring tool for ephemeral infrastructure and distributed applications. It is an agent-based monitoring system with built-in auto-discovery, making it very well-suited for cloud environments. Sensu uses service checks to monitor service health and collect telemetry data. It also has a number of well-defined APIs for configuration, external data input, and to provide access to Sensu's data. Sensu is extremely extensible and is commonly referred to as "the monitoring...

Nano is an easy-to-use, fast, lightweight game server networking library for Go. It provides a core network architecture and a series of tools and libraries that can help developers eliminate boring duplicate work for common underlying logic. The goal of nano is to improve development efficiency by eliminating the need to spend time on repetitious network-related programming. Nano was designed for server-side applications like real-time games, social games, mobile games, etc of all sizes. In...

OpenCensus and OpenTracing have merged to form OpenTelemetry, which serves as the next major version of OpenCensus and OpenTracing. OpenCensus is a set of libraries for various languages that allow you to collect application metrics and distributed traces, then transfer the data to a backend of your choice in real time. This data can be analyzed by developers and admins to understand the health of the application and debug problems.

The API framework based on Gin's modular design encapsulates common functions, is easy to use, and is dedicated to rapid business development. For example, it supports cors cross-domain, jwt signature verification, zap log collection, panic exception capture, trace link tracking, prometheus monitoring indicators, swagger document generation, viper configuration file parsing, gorm database components, gormgen code generation tools, graphql query language, errno uniformly defines error codes,...

...We make use of an inexpensive rtl-sdr dongle to allow users to non-invasively record and analyze the commodity consumption of their household. There's now experimental support for data collection and aggregation with rtlamr-collect.