This is an automated email from the ASF dual-hosted git repository. wusheng pushed a commit to branch wu-sheng-patch-1 in repository https://gitbox.apache.org/repos/asf/skywalking.git
commit 24ff5faf583f6b6edc568c68afb2d2166a4ce4db Author: 吴晟 Wu Sheng <[email protected]> AuthorDate: Mon Dec 26 14:09:15 2022 +0800 Update readme --- README.md | 55 +++++++++++++++++++------------------------------------ 1 file changed, 19 insertions(+), 36 deletions(-) diff --git a/README.md b/README.md index 36916f375b..809b797720 100644 --- a/README.md +++ b/README.md @@ -16,48 +16,31 @@ microservices, cloud native and container-based architectures. # Abstract **SkyWalking** is an open source APM system, including monitoring, tracing, diagnosing capabilities for distributed system in Cloud Native architecture. -The core features are following. - -- Service, service instance, endpoint(URI) metrics analysis. - - Distributed tracing. - - Metrics collecting, analysis, and customization. - - Logging collecting and extracting metrics from them. - - Distributed tracing and context propagation. - - Collaboration across metrics, traces, and logs -- Root cause analysis. - - Profile the code on the runtime powered by in-process agent and ebpf profiler. - - Network profiler for TCP, TCP/TLS, HTTP(s) traffic. -- Service topology map analysis. -- Service instance and endpoint(URI) dependency analysis. -- Slow services and endpoints detecting. -- Performance optimization. -- In memory and remote cache performance monitoring, including Read and Write performance. Detect slow Cache access with keys. -- Database performance monitoring. Detect slow SQL statements. -- Message Queue performance and consuming latency monitoring. -- Browser performance monitoring, and start tracing from browser. -- Infrastructure monitoring. Kubernetes and Linux(VM, network, disk etc.). -- Alerting. -<img src="https://skywalking.apache.org/images/home/architecture.svg?t=20220513"/> +* Distributed Tracing + * End-to-end distributed tracing. Service topology analysis, service-centric observability and APIs dashboards. +* Agents for your stack + * Java, .Net Core, PHP, NodeJS, Golang, LUA, Rust, C++, Client JavaScript and Python agents with active development and maintenance. +* eBPF early adoption + * Rover agent works as metrics collector and profiler powered by eBPF to diagnose CPU and network performance. +* Scaling + * 100+ billion telemetry data could be collected and analyzed from one SkyWalking cluster. +* Mature Telemetry Ecosystems Supported + * Metrics, Traces, and Logs from mature ecosystems are supported, e.g. Zipkin, OpenTelemetry, Prometheus, Zabbix, Fluentd +* Native APM Database + * BanyanDB, an observability database, created in 2022, aims to ingest, analyze and store telemetry/observability data. +* Consistent Metrics Aggregation + * SkyWalking native meter format and widely known metrics format(OpenCensus, OTLP, Telegraf, Zabbix, e.g.) are processed through the same script pipeline. +* Log Management Pipeline + * Support log formatting, extract metrics, various sampling policies through script pipeline in high performance. +* Alerting and Telemetry Pipelines + * Support service-centric, deployment-centric, API-centric alarm rule setting. Support forwarding alarms and all telemetry data to 3rd party. -SkyWalking supports to collect telemetry (metrics, traces, and logs) data from multiple sources -and multiple formats, including -1. Java, .NET Core, NodeJS, PHP, and Python auto-instrument agents. -2. Go, C++, and Rust SDKs. -3. [Agent profiling](https://skywalking.apache.org/docs/main/next/en/concepts-and-designs/sdk-profiling/) for Java and Python. -4. [ebpf](https://github.com/apache/skywalking-rover) network profiling and ON/OFF CPU profiling. -5. LUA agent especially for Nginx, OpenResty and Apache APISIX. -6. Browser agent. -7. Service Mesh Observability. Control plane and data plane. -8. Metrics system, including Prometheus, OpenTelemetry, Micrometer(Spring Sleuth), Zabbix. -9. Logs, including OpenTelemetry. -10. Zipkin v1/v2 trace.(No Analysis). +<img src="https://skywalking.apache.org/images/home/architecture.svg?t=20220513"/> # Documentation - [Official documentation](https://skywalking.apache.org/docs/#SkyWalking) -SkyWalking OAP is using the STAM(Streaming Topology Analysis Method) to analysis topology in the tracing based agent scenario -for better performance. Read [the paper of STAM](https://wu-sheng.github.io/STAM/) for more details. # Downloads Please head to the [releases page](https://skywalking.apache.org/downloads/) to download a release of Apache SkyWalking.
![https://skywalking.apache.org/images/home/architecture.svg?t=20220513"/](https://skywalking.apache.org/images/home/architecture.svg?t=20220513"/){kind=link}