Search Results for "data collection algorithm"

iLogtail was born for observable scenarios and has many production-level features such as lightweight, high performance, and automated configuration, which are widely used internally by Alibaba Group and tens of thousands of external Alibaba Cloud customers. You can deploy it in physical machines, Kubernetes and other environments to collect telemetry data, such as logs, traces and metrics. Supports a variety of Logs, Traces, and Metrics data collection, and is friendly to container and Kubernetes environment support. The resource cost of data collection is quite low, 5-20 times better than similar telemetry data collection Agent performance. High stability, used in the production of Alibaba and tens of thousands of Alibaba Cloud customers, and collecting dozens of petabytes of observable data every day with nearly tens of millions deployments.

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 offers a solid core features set, which includes root cause analysis, service topology map analysis, performance optimization, and many more.