What is the APM tool skywalking

Official  SkyWalking  Is defined as an application performance monitoring tool for distributed systems , It is also an open source observable platform ,  Used to collect from services and cloud native infrastructure 、  analysis 、  Aggregate and visualize data .SkyWalking  It provides a simple way to clearly observe distributed systems ,  Even across multiple cloud platforms .SkyWalking  It is also a modern application performance monitoring (Application Performance Monitoring) System ,  Especially for cloud native 、 Design of distributed system based on container .

SkyWalking  It's a  apache  project , The official warehouse address is ：https://github.com/apache/skywalking , The official website is skywalking.apache.org/ .

SkyWalking  Can also be combined with  Prometheus  Linkage , take  SkyWalking  Data stored in  Prometheus  in .

 SkyWalking  The function of

SkyWalking  The following functions are provided in the official documents ：

•   Multiple monitoring means . You can use language probes and  service mesh  Getting monitoring is data .

•   Multiple language auto probes . Include  Java,.NET Core  and  Node.JS.

•   Lightweight and efficient . No big data platform , And a lot of server resources .

•   modularization .UI、 Storage 、 There are various mechanisms for cluster management .

•   Support alarm .

•   Excellent visualization solution .

As a  APM  Tools , These functions should be quite practical . But it hasn't been used yet  SkyWalking, These functions will be explained after use .

 SkyWalking  Usage scenarios of

In many different scenarios , SkyWalking  It provides a solution for observing and monitoring distributed systems . The first is like the traditional way , SkyWalking  Provides an automated agent for services ,  Such as  Java, C# , Node.js , Go , PHP  as well as  Nginx LUA（ Include  Python  and  C++  Called  SDK  Donate ）.

For most languages , Continuous deployment environment , Cloud native infrastructure is becoming more powerful , But it's also more complicated .

Skywalking  The service grid receiver of can make  Skywalking  Receive from the service grid framework （ for example  Istio , Linkerd） Telemetry data , To help users understand the whole distributed system .

All in all , SkyWalking  by   service (service),  Service instance (service instance),  as well as   Endpoint (endpoint)  Provides observability . service (Service),  example (Instance)  as well as   Endpoint (Endpoint)  Such concepts can be seen everywhere today ,  So let's take a look at what they are doing  SkyWalking  What do they mean ：

•   service (Service).  Represents a set of workloads that provide the same behavior to requests .  In the use of a dotting agent or  SDK  When , You can define the name of the service . SkyWalking  It can also be used in  Istio  And so on .

•   Service instance (Service Instance).  Each of the above set of workloads is called an instance .  It's like  Kubernetes  Medium  pods  equally , An instance of an operating system is not necessarily a service .  But when you're using a dotting agent ,  A service instance is actually a real process on the operating system .

•   Endpoint (Endpoint).  For the request path received by a specific service ,  Such as  HTTP  Of  URI  Path and  gRPC  The class name of the service  +  Method signature .

Use  SkyWalking  when ,  Users can see the topology between the service and the endpoint ,  Every service / Service instance / Endpoint performance metrics ,  You can also set alarm rules .

besides ,  You can also integrate by

Other distributed tracing uses  Skywalking  Native agents and Zipkin , Jaeger  and  OpenCensus  Of  SDK;

Other metrics systems , for example  Prometheus , Sleuth, Micrometer.

This is it.  SkyWalking , Let's talk about its architecture sometime .