published

Cloud Native Sample Bookinfo App Observability

Bookinfo is a sample application composed of four Microservices written in different languages. Application is originally
created by as part of Istio project to demonstrate various Istio features, See https://istio.io/docs/examples/bookinfo/.

Project extends this sample application to demonstrate observability of Cloud Native application using Cisco AppDynamics
and ThousandEyes.
Microservices code and docker images area extended to include respective AppDynamics agents that enables Application Performance Monitoring
for these microservices. ThousandEyes Web App monitoring is also configured, that helps understand understand how HTTP, page load and transaction
performance is affected by the network, and how it stacks up against other similar services.

Architecture

Sample book info application is created using 4 polygot microservices & can be deployed on kubernetes cluster.

Microservice details

Service Name Language Details
Product Page Python Frontend Microservices service simple web page showing book details, reviews & ratings
Details Ruby The details microservice contains book information.
Review Java The reviews microservice contains book reviews. It also calls the ratings microservice.
Ratings NodeJS The ratings microservice contains book ranking information that accompanies a book review.

Full Stack Observability are enabled for this application (composed of microservices) that monitors user experience, business transaction,
container, virtual machine, Kubernetes container orchestrator etc. Each Microservices is instrumented with respective language AppDynamics agent to enable application monitoring data.
In addition to this AppD cluster agent for Kubernetes is also setup too to monitor health of Kubernetes and collect metrics and metadata for entire cluster, including every node and container.

For ProductPage web endpoints the HTTP monitor are added to ThousandEyes that can monitor Response time, Availability and Throughput from
multiple from different geographic location in world.

Setup Application

  1. Pre-requisite
  1. Clone the code to local laptop

    git clone https://github.com/CiscoDevNet/bookinfo-cloudnative-sample
    
  2. Get Access Key and account details from AppDynamics

    Access keys & Account Name

  3. Update Access Keys and deploy microservices pods

    i. Modify access-key (base64 encoded), APPDYNAMICS_AGENT_ACCOUNT_NAME (account_name) and APPDYNAMICS_CONTROLLER_HOST_NAME in field

    echo -n <access-key> | base64 - 
    vi platform/kube/appd.yaml
    

    ii. Upload Secret

    kubectl apply -f platform/kube/appd.yaml
    

    iii. Deploy microservice pods & created services

    kubectl apply -f platform/kube/bookinfo.yaml
    

    Sample Creation

    iv. Expose service to internet
    If your cluster have ingress with public internet domain configured use same.

    Alternative option is to expose service using ngork. Service needs to exposed so that ThousandEye can test app.
    NOTE: This is will expose your app to world so please read yourself aware of ngrok.

    kubectl run --restart=Never   -t -i --rm   ngrok --image=gcr.io/kuar-demo/ngrok   -- http productpage:9080
    
  4. Access app, browse various page & login using 'demo' and 'demo' cred.

    This will start sending metrics to AppdAccount

    Application Browsing

  5. Check Application and Infra monitoring details in AppDynamics account

    AppDynamics Monitoring Details

  6. Register Web Test on ThousandEyes

    ThousandEyes Test Addition & reports

AppDynamic Agents Instrumentation of Microservices

  1. Python agent for 'Product Page'

    AppDynamics Agent for Python is installed using pip package via requirements.txt

  2. Ruby agent for 'Details Service'

    AppDynamics Agent for Ruby is installed using Gemfile

  3. Java agent for 'Review' Service

    AppDynamics agent for Java is inserted using init-container.

          initContainers:
         - command:
             - cp
             - -r
             - /opt/appdynamics/.
             - /opt/temp
           name: appd-agent
           image: docker.io/appdynamics/java-agent:20.8.0
           volumeMounts:
             - mountPath: /opt/temp
               name: appd-agent-repo
    
  4. NodeJS 'Rating' Service
    AppDynamics agent for NodeJS are installed using npm install in package.json

  5. Agent configuration are set for following AppDynamics agents configuration Best Practices in kubernetes refer appd.yaml and bookinfo.yaml for details.

Rebuild Microservices docker images

Refer Build Document for build instruction.

View code on GitHub

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