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new ff84b6b Add release doc, originally from tetrate.io
ff84b6b is described below
commit ff84b6bf9449cf15f80534c8df1dfbf1e71a4ad1
Author: Wu Sheng <wu.sh...@foxmail.com>
AuthorDate: Mon Aug 3 21:25:52 2020 +0800
Add release doc, originally from tetrate.io
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+# Features in SkyWalking 8.1: SpringSleuth metrics, endpoint dependency
detection, Kafka transport traces and metrics
+- Author: Sheng Wu, Hongtao Gao, and Tevah Platt. tetrate.io
+- Original link, [Tetrate.io
blog](https://www.tetrate.io/blog/skywalking8-1-release/)
+- Aug. 3rd, 2020
+
+
+
+Apache SkyWalking, the observability platform, and open-source application
performance monitor (APM) project, today announced the general availability of
its 8.1 release that extends its functionalities and provides a transport layer
to maintain the lightweight of the platform that observes data continuously.
+
+## Background
+SkyWalking is an observability platform and APM tool that works with or
without a service mesh, providing automatic instrumentation for microservices,
cloud-native and container-based applications. The top-level Apache project is
supported by a global community and is used by Alibaba, Huawei, Tencent, Baidu,
and scores of others.
+
+## Transport traces
+For a long time, SkyWalking has used gRPC and HTTP to transport traces,
metrics, and logs. They provide good performance and are quite lightweight, but
people kept asking about the MQ as a transport layer because they want to keep
the observability data continuously as much as possible. From SkyWalking’s
perspective, the MQ based transport layer consumes more resources required in
the deployment and the complexity of deployment and maintenance but brings more
powerful throughput capacity [...]
+
+In 8.1.0, SkyWalking officially provides the typical MQ implementation, Kafka,
to transport all observability data, including traces, metrics, logs, and
profiling data. At the same time, the backend can support traditional gRPC and
HTTP receivers, with the new Kafka consumer at the same time. Different users
could choose the transport layer(s) according to their own requirements. Also,
by referring to this
[implementation](https://github.com/apache/skywalking/pull/4847), the community
co [...]
+
+## Automatic endpoint dependencies detection
+The 8.1 SkyWalking release offers automatic detection of endpoint
dependencies. SkyWalking has long offered automatic endpoint detection, but
endpoint dependencies, including upstream and downstream endpoints, are
critical for Ops and SRE teams’ performance analysis. The APM system is
expected to detect the relationships powered by the distributed tracing. While
SkyWalking has been designed to include this important information at the
beginning the latest 8.1 release offers a cool visual [...]
+
+
+
+## SpringSleuth metrics detection
+In the Java field, the Spring ecosystem is one of the most widely used.
[Micrometer](https://micrometer.io/), the metrics API lib included in the
Spring Boot 2.0, is now adopted by SkyWalking’s native meter system APIs and
agent. For applications using Micrometer with the SkyWalking agent installed,
all Micrometer collected metrics could then be shipped into SkyWalking OAP.
With [some configurations in the OAP and
UI](https://github.com/apache/skywalking/blob/master/docs/en/setup/backend [...]
+
+
+
+## Notable enhancements
+
+The Java agent core is enhanced in this release. It could work better in the
concurrency class loader case and is more compatible with another agent
solution, such as Alibaba’s Arthas.
+
+1. With the logic endpoint supported, the local span can be analyzed to get
metrics. One span could carry the raw data of more than one endpoint’s
performance.
+1. GraphQL, InfluxDB Java Client, and Quasar fiber libs are supported to be
observed automatically.
+1. Kubernetes Configmap can now for the first time be used as the dynamic
configuration center– a more cloud-native solution for k8s deployment
environments.
+1. OAP supports health checks, especially including the storage health status.
If the storage (e.g., ElasticSearch) is not available, you could get the
unhealth status with explicit reasons through the health status query.
+1. Opencensus receiver supports ingesting OpenTelemetry/OpenCensus agent
metrics by meter-system.
+
+## Additional resources
+- Read more about the [SkyWalking 8.1 release
highlights](https://github.com/apache/skywalking/blob/v8.1.0/CHANGES.md).
+- Read more about SkyWalking from Tetrate on our
[blog](https://www.tetrate.io/blog/category/open-source/apache-skywalking/).
+- Get more SkyWalking updates on [Twitter](https://twitter.com/ASFSkyWalking).
+- Sign up to hear more about SkyWalking and observability from
[Tetrate](https://www.tetrate.io/contact-us/).
\ No newline at end of file
diff --git a/docs/blog/README.md b/docs/blog/README.md
index 2aa3d86..068dc60 100755
--- a/docs/blog/README.md
+++ b/docs/blog/README.md
@@ -3,6 +3,11 @@ layout: LayoutBlog
blog:
+- title: Features in SkyWalking 8.1
+ name: 2020-08-03-skywalking8-1-release
+ time: Sheng Wu, Hongtao Gao, and Tevah Platt. Aug. 3rd, 2020
+ short: SpringSleuth metrics, endpoint dependency detection, Kafka transport
traces and metrics
+
- title: The Apdex Score for Measuring Service Mesh Health
name: 2020-07-26-apdex-and-skywalking
time: Srinivasan Ramaswamy. Jul. 26th, 2020
