Docker at flux7 docker meetup kickoff

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Information about Docker at flux7 docker meetup kickoff
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Published on March 13, 2014

Author: Flux7Labs

Source: slideshare.net

DOCKER @ FLUX7 LABS

WHO AM I? Aater Suleman Part-time UT Professor Geek, Architect, Developer, Ops, DevOps … Co-founder & CEO Flux7 Labs ○ DevOps Solutions ■ Deployments ■ Cost/performance optimized large scale website (Ruby on rails, node.js, Django) and Hadoop deployments

VyScale Dev Flow Docker's impact on performance (whitepaper WIP) Multi-tenancy Live process migration using CRIU (criu.org) Four projects:

APPLICATION: SINGLE SERVICE PROVIDER Receive Sensor Data Report Generation based on data Report sent to End User Internet of Things -- Solar Panel Monitoring XML Data over TCP Big Data Analytics

Single Provider System Provider Span Location1 Location2 Location3 Gateway1 Gateway2 Gateway3sensors A provider has Mifi routers installed at multiple Locations which collect data from sensors and sends it to a remote TCP server via the internet. TCP server Port 6000 Cassandra port 9160 Flask App Port 80 Browser Uses the Flask app at port 80Internet

COMPONENTS 1. Cassandra for data persistence which we later use for generating reports for each gateway. 2. A Twisted TCP server listening at PORT 6000, for data ingestion from multiple gateways owned by the provider. 3. A Flask app serving at PORT 80 as the admin panel for setting customizations and viewing reports.

G G G G Customer NCustomer 2 …Customer 1 Each customer can have multiple gateways commissioned to them. Remote Twister TCP Server (Non–Blocking I/O) Cassandra NoSQL data store (High Volume High Velocity Write which scales Linearly across the cluster ) Power consumption status on website and mails *G - Gateway Web App Mailer

SINGLE PROVIDER LAUNCH For launching the single provider version, the following was done: 1. nohup python tcp_server.py & # For firing up the TCP server. 2. nohup python flask_app.py & # For firing up the admin panel Both these code bases houses hard-coded Cassandra KEYSPACE

APPLICATION: MULTIPLE SERVICE PROVIDERS …

Provider 1 sends data to port 6001 and accesses flask app at port 8081 Provider 2 sends data to port 6002 and accesses flask app at port 8082 Flask container-runs flask app at port 80. Exposes port 80 and published it to port 8081 for provider 1 Flask container-runs flask app at port 80. Exposes port 80 and published it to port 8082 for provider 2 TCP server container- runs at port 6000. Exposes port 6000 and published it to port 6001 for provider 1 TCP server container-runs at port 6000. Exposes port 6000 and published it to port 6002 for provider 2 Cassandra Internet

KNEE-JERK APPROACH Sprinkle Tenant ID everywhere in the code and DB Time consuming Expensive Security Maintenance Rigidity Poor isolation

An alternate solution is to use Virtual Machine (VM) or Multiple Hosts Downside: MULTIPLE HOSTS/VMS Both VMs and Multiple Hosts cost a lot of money

AND THE SOLUTION

How: Isolated environments for running multiple instances of the app WHY DOCKER? Docker containers provide isolation that is Fast Inexpensive

Create a docker container for the new version of the app PLAN Setup environments/dependencies correctly Start a Cassandra container.

# start a docker container for consuming gateway data at gateway_port start_command = 'python software/remote_server.py ' + provider_id remote_server = docker_client.create_container('flux7/labs', # docker image command=start_command, # start command contains the keyspace parameter, keyspace is the provider_id name='remote_server_' + provider_id, # name the container, name is provider_id ports=[(6000, 'tcp'),]) # open port for binding, remote_server.py listens at 6000 docker_client.start(remote_server, port_bindings={6000: ('0.0.0.0', gateway_port)}, links={'db': 'cassandra'}) AUTOMATION # start a docker container for serving admin panel at admin_port start_command = 'python software/flask_app.py ' + provider_id remote_server = docker_client.create_container('flux7/labs', # docker image command=start_command, # start command contains the keyspace parameter, keyspace is the provider_id name='admin_panel_' + provider_id, # name the container, name is provider_id ports=[(80, 'tcp'),]) # open port for binding, remote_server.py listens at 6000 docker_client.start(remote_server, port_bindings={80: ('0.0.0.0',admin_port)}, links= {'db': 'cassandra'}) An automation was the next foreseeable step, and for that we found Docker-py extremely useful. We used something like: # Yes. We love Python! def start_provider(provider_id, gateway_port, admin_port ): docker_client = docker.Client(base_url='unix://var/run/docker.sock', version='1.6', timeout=100)

For now, a locally running container serving at PORT 9160 using the command similar to this: docker run -d -p 9160:9160 -name db flux7/cassandra OUR SOLUTION- EXPLAINED

Create a keyspace ‘provider1’ using pycassaShell. We fired up our two code bases on two separate containers like this: OUR SOLUTION- EXPLAINED docker run -name remote_server_1 -link db:cassandra - p 6001:6000 flux7/labs python software/remote_server. py provider1 docker run -name flask_app_1 -link db:cassandra -p 8081:80 flux7/labs python software/flask_app.py provider1

DOCKER ISSUES DISCOVERED Docker does not support multiple instances of Cassandra running on the same machine. Hosting multiple database instances on a single machine can quickly cause resource shortages

❑ Followed the traditional solution to make an application multi-tenant OUR SOLUTION Code Changes •• To data ingestion server and web server by adding the keyspace parameter to the DB accesses. Cassandra KEYSPACE / provider ID •• Passed to each instance of the app on the command line. ❑ Each provider in the data store gets a separate namespace without making any changes to the column family schema. Use of KEYSPACE as the namespace for each provider in the data store

LESSONS WE LEARNT Docker is an extremely fast and elegant isolation framework: easy to port, cheap to run, easy to orchestrate Multi-tenancy != changing the app to support multiple tenants Docker orchestration frameworks are not at par with Docker today. What we have written is yet another one but for multi-tenancy. Dockerfiles still need work -- we used shell scripts in some places We can run multiple commands/container

DOCKER IN DEVELOPER ENVIRONMENT 4 Reasons Performance Overhead Fast Boot Container Size is small Ability to put on top of cloud (and even cross cloud)

DOCKER AUSTIN FOR MORE DISCUSSIONS ON DOCKER!

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