Docker - StatsD/Graphite/Grafana
- Graphite: made up of three components: the graphite web app, the carbon relay daemon and the whisper data format.
- Graphite webapp: reads the data from files in Whisper and allows users to query the values and perform statistical operations on them. It's a Django webapp that renders graphs on-demand using Cairo
- StatsD: UDP based back-end proxy for the Graphite/Carbon metrics server. With StatsD, applications are to be instrumented by developers using language-specific client libraries. It sends aggregates to one or more pluggable backend services such as Graphite.
- StatsD client library: sends each individual call to the StatsD server over a UDP.
- StatsD daemon: listens to the UDP traffic from all application libraries, aggregate data over time and flush it at the desired interval to the backend.
- Carbon: a daemon that listens on a TCP socket for time-series data which it persists to files in the whisper format.
- Whisper: time-series database library.
- CollectD: statistics collection daemon that periodically polls various sources for metrics. Tle latest CollectD supports StatsD as an input, so there is no need to run separate daemon.
Modified from this source: https://graphite.readthedocs.io/en/latest/faq.html
Let's start a Docker container named: graphite.
docker run -d\ --name graphite\ --restart=always\ -p 80:80\ -p 81:81\ -p 2003-2004:2003-2004\ -p 2023-2024:2023-2024\ -p 8125:8125/udp\ -p 8126:8126\ hopsoft/graphite-statsd
The mapped ports look like this:
As we can see below, this starts a Docker container named: graphite:
$ docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES a592790295c4 graphiteapp/graphite-statsd "/entrypoint" 6 minutes ago Up 6 minutes 0.0.0.0:80->80/tcp, 0.0.0.0:2003-2004->2003-2004/tcp, 2013-2014/tcp, 8080/tcp, 0.0.0.0:2023-2024->2023-2024/tcp, 0.0.0.0:8126->8126/tcp, 8125/tcp, 0.0.0.0:8125->8125/udp graphite
To send some stats, let's create stats with a random counter using netcat with 1 sec timeout and UDP to localhost at port 8125:
$ while true; do echo -n "example:$((RANDOM % 100)) " | nc -w 1 -u 127.0.0.1 8125; done
Visuaized (http://localhost:81/render?from=-10mins&until=now&target=stats.example):
Graphite is available at: http://localhost:81:
Let's login at http://localhost:81/account/login with root/root:
Then, update the admin user's profile at: http://localhost:81/admin/users/edit/1:
We can visualize the data, open a browser with this url: http://localhost:81/render?from=-10mins&until=now&target=stats.example
Let's login at: http://localhost with admin/admin:
Then, we may want to update the admin user's profile at: http://localhost/admin/users/edit/1
Note that Grafana and graphite are separate applications. Grafana is for visualizing data, especially time series databases. Graphite is a time series databases. Grafana can also visualize data from InfluxDB, Prometheus, ElasticSearch:
Click Save & Test.
More to come...
Docker & K8s
- Docker install on Amazon Linux AMI
- Docker install on EC2 Ubuntu 14.04
- Docker container vs Virtual Machine
- Docker install on Ubuntu 14.04
- Docker Hello World Application
- Nginx image - share/copy files, Dockerfile
- Working with Docker images : brief introduction
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- More on docker run command (docker run -it, docker run --rm, etc.)
- Docker Networks - Bridge Driver Network
- Docker Persistent Storage
- File sharing between host and container (docker run -d -p -v)
- Linking containers and volume for datastore
- Dockerfile - Build Docker images automatically I - FROM, MAINTAINER, and build context
- Dockerfile - Build Docker images automatically II - revisiting FROM, MAINTAINER, build context, and caching
- Dockerfile - Build Docker images automatically III - RUN
- Dockerfile - Build Docker images automatically IV - CMD
- Dockerfile - Build Docker images automatically V - WORKDIR, ENV, ADD, and ENTRYPOINT
- Docker - Apache Tomcat
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- Docker - NodeJS with hostname
- Docker Compose - NodeJS with MongoDB
- Docker - Prometheus and Grafana with Docker-compose
- Docker - StatsD/Graphite/Grafana
- Docker - Deploying a Java EE JBoss/WildFly Application on AWS Elastic Beanstalk Using Docker Containers
- Docker : NodeJS with GCP Kubernetes Engine
- Docker : Jenkins Multibranch Pipeline with Jenkinsfile and Github
- Docker : Jenkins Master and Slave
- Docker - ELK : ElasticSearch, Logstash, and Kibana
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- Docker - Deploy Elastic Cloud on Kubernetes (ECK) via Elasticsearch operator on minikube
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- Docker Compose - A gentle introduction with WordPress
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- Docker Compose - Hashicorp's Vault and Consul Part A (install vault, unsealing, static secrets, and policies)
- Docker Compose - Hashicorp's Vault and Consul Part B (EaaS, dynamic secrets, leases, and revocation)
- Docker Compose - Hashicorp's Vault and Consul Part C (Consul)
- Docker Compose with two containers - Flask REST API service container and an Apache server container
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- Docker & Kubernetes : Envoy - Getting started
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- Docker - Run a React app in a docker
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- Docker - NodeJS and MySQL app with React in a docker
- Docker - Step by Step NodeJS and MySQL app with React - I
- Installing LAMP via puppet on Docker
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- Docker - ECS Fargate
- Docker - AWS ECS service discovery with Flask and Redis
- Docker & Kubernetes : minikube
- Docker & Kubernetes 2 : minikube Django with Postgres - persistent volume
- Docker & Kubernetes 3 : minikube Django with Redis and Celery
- Docker & Kubernetes 4 : Django with RDS via AWS Kops
- Docker & Kubernetes : Kops on AWS
- Docker & Kubernetes : Ingress controller on AWS with Kops
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- Docker & Kubernetes : HashiCorp's Vault and Consul - Auto-unseal using Transit Secrets Engine
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- Docker & Kubernetes - Kubernetes Service Account, RBAC, IAM with EKS ALB, Part 1
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- Docker & Kubernetes : Deploying WordPress and MariaDB to AWS using Helm 3 Chart
- Docker & Kubernetes : Helm Chart for Node/Express and MySQL with Ingress
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- Docker & Kubernetes : Deploying .NET Core app to Kubernetes Engine and configuring its traffic managed by Istio (Part I)
- Docker & Kubernetes : Deploying .NET Core app to Kubernetes Engine and configuring its traffic managed by Istio (Part II - Prometheus, Grafana, pin a service, split traffic, and inject faults)
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- Docker & Kubernetes : ArgoCD on Kubernetes cluster
- Docker & Kubernetes : GitOps with ArgoCD for Continuous Delivery to Kubernetes clusters (minikube) - guestbook
Ph.D. / Golden Gate Ave, San Francisco / Seoul National Univ / Carnegie Mellon / UC Berkeley / DevOps / Deep Learning / Visualization