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SkyWalking
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013ebbe2
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前往新版Gitcode,体验更适合开发者的 AI 搜索 >>
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013ebbe2
编写于
1月 29, 2021
作者:
wu-sheng
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@@ -25,21 +25,24 @@ The core features are following.
-
Slow services and endpoints detected
-
Performance optimization
-
Distributed tracing and context propagation
-
Database access metrics. Detect slow database access statements(including SQL statements)
.
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Database access metrics. Detect slow database access statements(including SQL statements)
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Alarm
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Browser performance monitoring
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Infrastructure(VM, network, disk etc.) monitoring
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Collaboration across metrics, traces, and logs
<img
src=
"http://skywalking.apache.org/assets/frame-v8.jpg?u=20201105"
/>
SkyWalking supports to collect telemetry (
traces and metric
s) data from multiple sources
SkyWalking supports to collect telemetry (
metrics, traces, and log
s) data from multiple sources
and multiple formats,
including
1.
Java, .NET Core, NodeJS, PHP, and Python auto-instrument agents.
1.
Go and C++ SDKs.
1.
LUA agent especially for Nginx, OpenResty.
1.
Browser agent.
1.
Service Mesh Observability. Control panel and data panel.
1.
Metrics system, including Prometheus, OpenTelemetry, Spring Sleuth(Micrometer).
1.
Browser application performance, including metrics and error l
ogs.
1.
L
ogs.
1.
Zipkin v1/v2 and Jaeger gRPC format with limited topology and metrics analysis.(Experimental).
SkyWalking OAP is using the STAM(Streaming Topology Analysis Method) to analysis topology in the tracing based agent scenario
...
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