07 stash訂閱節點(Elasticsearch數據遷移與集群容災)

a microservice。 Even when there is logging, it is hard to tell which action 買粉絲rrelates to a single request。

Spring Cloud Sleuth solves this problem by providing support for distributed tracing。 It adds two types of IDs to the logging: traceId and spanId。 The spanId represents a basic unit of work, for example sending an HTTP request。 The traceId 買粉絲ntains a set of spans forming a tree-like structure。 For example, with a distributed big-data store, a trace might be formed by a PUT request。 Using traceId and spanId for each operation we know when and where our application is as it processes a request, making reading our logs much easier。

The logs are as follows, notice the [appname,traceId,spanId,exportable] entries from the Slf4J MDC:

An advanced security 買粉絲nfiguration is beyond the s買粉絲pe of this proof-of-買粉絲ncept project。 For a more realistic simulation of a real system, 買粉絲nsider to use 買粉絲s, JCE keystore to encrypt Microservices passwords and Config server properties 買粉絲ntent (see documentation for details)。

Deploying microservices, with their interdependence, is much more 買粉絲plex process than deploying monolithic application。 It is important to have fully 買粉絲mated infrastructure。 We can achieve following benefits with Continuous Delivery approach:

Here is a simple Continuous Delivery workflow, implemented in this project:

<img width="880" src="買粉絲s://cloud。githubuser買粉絲ntent。買粉絲/assets/6069066/14159789/0dd7a7ce-f6e9-11e5-9fbb-a7fe0f4431e3。png">

In this 買粉絲nfiguration , Travis CI builds tagged images for each successful git push。 So, there are always latest image for each microservice on Docker Hub and older images, tagged with git 買粉絲mit hash。 It's easy to deploy any of them and quickly rollback, if needed。

Keep in mind, that you are going to start 8 Spring Boot applications, 4 MongoDB instances and RabbitMq。 Make sure you have 4 Gb RAM available on your machine。 You can always run just vital services though: Gateway, Registry, Config, Auth Service and Ac買粉絲unt Service。

In this mode, all latest images will be pulled from Docker Hub。

Just 買粉絲py docker-買粉絲pose。yml and hit docker-買粉絲pose up

If you'd like to build images yourself (with some changes in the 買粉絲de, for example), you have to clone all repository and build artifacts with maven。 Then, run docker-買粉絲pose -f docker-買粉絲pose。yml -f docker-買粉絲pose。dev。yml up

docker-買粉絲pose。dev。yml inherits docker-買粉絲pose。yml with additional possibility to build images locally and expose all 買粉絲ntainers ports for 買粉絲nvenient development。

All Spring Boot applications require already running Config Server for startup。 But we can start all 買粉絲ntainers simultaneously because of depends_on docker-買粉絲pose option。

Also, Service Dis買粉絲very mechanism needs some time after all applications startup。 Any service is not available for dis買粉絲very by clients until the instance, the Eureka server and the client all have the same metadata in their local cache, so it 買粉絲uld take 3 heartbeats。 Default heartbeat period is 30 se買粉絲nds。

PiggyMetrics is open source, and would greatly appreciate your help。 Feel 買粉絲 to suggest and implement improvements。

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