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new e74bb56 Update image graph link.
e74bb56 is described below
commit e74bb56b0022b9ba5b7aa9b7f93c09d3d3fd9e84
Author: Wu Sheng <[email protected]>
AuthorDate: Thu Aug 13 08:03:08 2020 +0800
Update image graph link.
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docs/blog/2020-08-11-observability-at-scale.md | 4 ++--
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@@ -30,11 +30,11 @@ Metrics rely on mathematical theories and calculations.
Percentile is a good mea
The service topology map is required from Ops and SRE teams for the NOC
dashboard and confirmation of system data flow. SkyWalking uses the [STAM
(Streaming Topology Analysis Method)](https://wu-sheng.github.io/STAM/) to
analyze topology from the traces, or based on ALS (Envoy Access Log Service) in
the service mesh environment. This topology and metrics of nodes (services) and
lines (service relationships) can't be pulled from simple metrics SDKs.
-
+
As with fixing the limitation of endpoint metrics collection, SkyWalking needs
to do endpoint dependency analysis from trace data too. Endpoint dependency
analysis provides more important and specific information, including upstream
and downstream. Those dependency relationships and metrics help the developer
team to locate the boundaries of a performance issue, to specific code blocks.
-
+
### **Pre-calculation vs. query stage calculation?**
