This repository is designed to showcase a new way of doing application insights for distributed applications. It shows how we can leverage new open source technologies to provide deep and reliable insights into the applications that we build.
It showcases the following techniques
- Logging
- Tracing - OpenTracing and Jaeger
- Metrics - Prometheus
These are illustrated across a number of applications written in the different languages.
Requirements
- Docker
- Docker Compose
To start the sample you need to use docker compose to build the containers and run them. By running
docker-compose upOnce everything is running you can see the apps runnign by going to the following URLs
http://localhost:8001 - dotnetcore http://localhost:8002 - java http://localhost:8003 - python http://localhost:8004 - node
To make cross service calls you simply append the route of the service you want to call. For eample if you wanted to use python to call node you would use
To access the different dashboards you can use the following URLs
http://localhost:16686/ - Jaeger http://localhost:9090/ - Prometheus http://localhost:5601/ - Kibana http://localhost:3000/ - Grafana
Getting elasticsearch to run
- Make sure you have upped your docker VM to at least 4gb memory
- You also need to ensure that the virtual memory setting is correct on the host (not in the container)
From windows you need to
docker run --privileged -it -v /var/run/docker.sock:/var/run/docker.sock jongallant/ubuntu-docker-client
docker run --net=host --ipc=host --uts=host --pid=host -it --security-opt=seccomp=unconfined --privileged --rm -v /:/host alpine /bin/sh
chroot /host
sysctl -w vm.max_map_count=262144More details can be found here https://elk-docker.readthedocs.io/#prerequisites https://www.elastic.co/guide/en/elasticsearch/reference/5.0/vm-max-map-count.html#vm-max-map-count
And details of connecting to the linux host from windows can be found here https://blog.jongallant.com/2017/11/ssh-into-docker-vm-windows/