UP! TO DOCKER PAAS. Ming
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1 UP! TO DOCKER PAAS Ming March 15,
2 WHO AM I Ming Jin Head of Cloud Solutions of ThoughtWorks China Architect, Agile Consulting Solutions and Consulting on DevOps & Cloud mjin@thoughtworks.com 2
3 ABOUT THOUGHTWORKS 3500 Employees 12 Countries 32 Offices
4 ABOUT THOUGHTWORKS Continuous Integration Agile Lean Enterprise to name a few Books Selenium Continuous Delivery Tech Radar MoCo CruiseControl JRuby SIP Open Source
5 AGENDA Background Docker 101 GoTo Docker What We Learned? 5
6 Background 6
7 SOFTWARE DELIVERY Product Manageme nt Product Backlog Delivery Team Deployment pipeline on change on demand feedback feedback Is my software production-ready right now? Did we build the right thing? usage data A/B tests traffic analysis customer feedback What s next? 7
8 IT CHALLENGES Manual Build/Test/ Package, trivial and error prone Different Environments, tools Lack of release readiness feedback Application Lifecycle Package Build Deployment IT Services Environment Middleware Repository Manual deployments of Middleware, DB and etc. Different configurations for different environments Couldn t manage changes in time Manual Operations are trivial and error prone Lack of IT asset management System admin as the bottle neck Virtualization VM Virtual Network Virtual Disk Infrastructure Server Storage Network Different Technologies and tools Lack of monitoring of hardware performance No capacity planning Couldn t do HA 8
9 GOTO CLOUD STRATEGY DevOps Apps IT Operation Apps DevOps Cloud IAAS Cloud Cloud Application Cloud Service Cloud Management Cloud Control IDE MIddleware Code Quality Service Catalog Resource View Elastic Architecture Batch Processing Continuou s Test Service Engine Continuous Deploy Database Policy Engine AppStore Monitor BaaS Scheduler Policies Templates Monitoring Cloud Services BigData Service Portal Ticket Mobile ITSM Cloud Engine VM Bare Metal Container Virtual Disk Networking Monitoring ITSM Infrastructure Power X86 Servers Storage Networking
10 CASE: CLOUDIFY LARGE INFRASTRUCTURE A World Leading Software Delivery Consultancy ~800 employees +100s of projects ScaleWorks to manage their whole Infrastructure and provide self-service facility. ScaleWorks help improve the IT efficiency and reduce the service lead time, we re all happy with it. Before: ~100 vsphere ESXi/Hyper-V/XenServer Hosts ~5T Storage (DAS, NFS, SAN) ~200 Virtual Networks ~1000 Virtual Machines (Windows, CentOS, Ubuntu) After: VM Provisioning Lead-Time Shortened to ~3 min ~60% TCO for VM Creation Eliminated 10
11 IAAS CLOUD + DEVOPS Build Pipeline Windows DC1 Git Repo Jenkins Local NuGet Repo Windows DC2 Dev Deployment Pipeline Nagios ScaleWorks Web App DB Env1 FC CI Agent2 DnsMas q CI Agent1 Tester ENV Description MySQL PowerShell DSC XenServer Scenarios: VM Instance CRUD Environment Instance CRUD VM Instances over XenServer Isolated Windows Domains DnsMasq as DNS Proxy Environment Creation: Add new Zone on Windows DC Create new Instances Register Instances to Windows DC Configure A-Records/Cnames on DC Configure new Instances Version Configurations with PS DSC Technologies: ScaleWorks + MySQL Puppet + PowerShell DSC WinRM Dnscmd Windows DC DnsMasq XenServer
12 Cloud is Good, can we do better? 12
13 MISMATCH OF IAAS AND APPLICATION IaaS is VM based, a bit heavy for developers IaaS is Resource focused, a bit far from Application level Resource Density is not Efficient ENOUGH 13
14 Docker
15 DOCKER BASICS $ sudo apt-get update $ sudo apt-get install docker.io $ source /etc/bash_completion.d/docker.io $ curl -ssl sudo sh Easy to install, easy to start a container: $ docker run -i -t ubuntu /bin/bash Use existing container images from docker Hub, or build your own. Expose ports for services running in container, daemonize containers.
16 BUILDING DOCKER IMAGES Fair use from h-p://blog.octo.com/en/docker- registry- first- steps/
17 CONFIGURING DOCKER IMAGES
18 COREOS BASICS Linux distribution Rolling upgrades Minimal OS Docker support etcd and fleet tools to manage distributed applications based on containers. Cloud-init support Systemd units 18
19 KUBERNETES BASICS Docker application orchestration Google GCE, rackspace, Azure providers Deployable on CoreOS Container replication HA services 19
20 DOCKER: SO FAR THE BEST CHOICE FOR PAAS Portability Application Stack LB VM KVM LXC Solaris Zone Container Docker Web App DB VSphere PC Blade Bare Metal Productivity War NuGet Gem APT RPM Package 20
21 GoTo Docker Strategy 21
22 GOTO DOCKER STRATEGY Docker-Enabled VM Service Kubernete-Enabled Stack Application-Centric Services 22
23 GOTO DOCKER: DOCKER-ENABLED VM CoreOS VM Based Docker Service Docker REST API integration (SSL) 23
24 GOTO DOCKER: COREOS PROVISIONING 24
25 GOTO DOCKER: COREOS PROVISIONING 25
26 GOTO DOCKER: KUBERNETES-ENABLED STACK Kubernetes based Docker Cluster Service Kubernetes REST API integration (SSL) 26
27 GOTO DOCKER: KUBERNETES PROVISIONING ScaleWorks to start nodes with coreos template User data to pass cloud-init configs Master.yaml for Kubernetes Master Node.yaml for Kubernetes Minions Start Kube* Service units with SystemD 27
28 GOTO DOCKER: APPLICATION-CENTRIC SERVICES Application Centric Services Use Dockerfile to Boot/Configure Single Component Dockerfile Detection User Topology file to Orchestrate Multiple Components TOSCA? App.yml 28
29 GOTO DOCKER: APPLICATION-AWARE SERVICES 29
30 CASE STUDY: DOCKER PAAS Build Pipeline Kubernetes Minion Kubernetes Minion Network Git Repo Jenkins Local Docker Registry Env1 Web App DB DnsMas q Env2 Web App DB iptables Deployment Pipeline Kubernetes Mater Scheduler Controller VPN Dev Nagios ScaleWorks VLAN Tester ENV Description MySQL Ansible XenServer Scenarios: Environment Creation: Technologies: Docker based Environment Kubernetes as Docker Clustering DnsMasq as DNS Proxy Iptables routing for VPN Sharing VM Instance CRUD Environment Instance CRUD * * Create new Kubernetes Environment Configure Network Settings Initiate Docker Cluster Configure Docker Instances Deploy Applications ScaleWorks + MySQL Puppet Kubernetes Docker DnsMasq + Iptables Routing XenServer + Fedora Private Docker Registry
31 What We Learned? 31
32 LESSONS Docker is AWESOME! Build, Ship and Run Any App, Anywhere High Resource Density Active Communities and Ecosystem Easy to Extend / Integrate API RESTful API/Kubernetes RESTful API Work Closely with the End Developers 32
33 Keep Refining Best Practices & Better Services
34 THANK YOU For questions or suggestions: Ming Jin
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