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Cloud Foundry Summit 2015: Managing Hybrid Deployments Using Cloud Foundry on Azure

Speakers: Ning Kuang & Kun­dana Pala­giri, Azure Com­pute

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Cloud Foundry Summit 2015: Managing Hybrid Deployments Using Cloud Foundry on Azure

  1. 1. Managing Hybrid deployments using Cloud Foundry on Azure NING KUANG & KUNDANA PALAGIRI – PROGRAM MANAGERS , AZURE COMPUTE
  2. 2. Session Takeaways ◦ Learn about Azure Support for Cloud Foundry. ◦ How to manage your workloads using Cloud Foundry in Azure Cloud or a Hybrid Cloud Environment.
  3. 3. Cloud Foundry on Azure BOSH CPI Implemented using the Azure Resource Manager APIs(Under public preview). Leverages Azure Templates for simplifying deployment steps. Embraces the community model for the CPI. Consistent user experience for multi cloud strategy. Extends onprem workloads to Azure seamlessly.
  4. 4. Azure Engineering Goals All Open Source ◦ Ship an all open source version under the Apache 2.0 license. ◦ Project URL : Be Part of the Community ◦ Provide consistent experience with all Cloud Providers. ◦ Align with Community’s engineering practices. Simplified Deployment on Azure ◦ Provide resource template to automate the Azure environment setup. ◦ Provide guidance for Cloud Foundry cluster setup. Committed Roadmap ◦ Ongoing commitment to enhance CF support on Azure.
  5. 5. Why Azure? Azure as an open cloud supports ◦ Hyper scale ◦ Enterprise Grade ◦ Hybrid Environments.
  6. 6. Azure Footprint
  7. 7. Growing list of Open Source Technologies on Azure Via HTMl/JS, cross-platform and native Ecosystem Provided Languages, Dev Tools, & App Containers PaaS & orchestration Devices Databases Management MS Integrated Operating systems Ubuntu SUSE, OpenSUSE, OpenLogic CentOS-based Oracle Linux, CoreOS Bring your own DocDB DataStax Ansible Puppet Azure PaaS Azure VM Scale Set Azure Service Fabric
  8. 8. Azure Templates can: • Ensure Idempotency • Simplify Orchestration • Simplify Roll-back • Provide Cross-Resource Configuration and Update Support Azure Templates are: • Source file, can be checked-in • Specifies resources and dependencies (VMs, WebSites, DBs) and connections (config, LB sets) • Support parametrized input/output Instantiation of repeatable config. Configuration  Resource Group Azure Resource Manager SQL Website Virtual Machines My App [SQL CONFIG] VM (2x) DEPENDS ON SQLDEPENDS ON SQL SQLCONFIG
  9. 9. Pre-requisites for setting up a Bosh VM- Using a Template Create a Storage Account Create a Virtual Network Create a Reserved IP for Bosh Prepare a Bosh client(dev box)
  10. 10. Hybrid Cloud Environments Azure Based Private Cloud Your own custom Datacenter Microsoft Azure
  11. 11. Azure Stack For Private and Hybrid Clouds.
  12. 12. Power of Azure with the control of the datacenter Microsoft Azure Stack Datacenter
  13. 13. Azure Datacenters
  14. 14. Azure Cloud Foundry Components Bosh Release ◦ Cloud Provider Interface (CPI) for Bosh. ◦ BOSH components to support Azure Azure Stem Cell Azure Resource Manager Template for setting up the environment Guidance for both single node and multi node CF deployments Guidance for CF Cluster setup
  15. 15. CF Deploy Experience AZURE ENVIRONMENT Account ◦ Subscription, Storage Account Network environment ◦ V-net with 2 sub-nets ◦ Reserved IP for Bosh and CF Security ◦ Service principal for the subscription DEPLOY CF ON AZURE Create a Dev working machine ◦ Linux or a Mac. ◦ Download Stemcell and Bosh release. Configure and deploy Micro Bosh. Configure and deploy Bosh (Optional) Configure and deploy CF Single click deployment of the above using an Azure Template. CF Deploy steps that’s consistent with other clouds.
  16. 16. CF Template for Azure Create the Azure network resource and Storage account ◦ VM, V-net, Public IP, Storage account Access from Azure portal or scripting Customize the parameters and settings 3 Simple steps Load an existing template Customize it Deploy ◦ All of the above can be automated.
  17. 17. Demo 1. Creating an Azure environment via ARM (Azure Resource Manager) 2. Deploy a “Hello CF” Application on Azure
  18. 18. Learnings from the CF Project Learnings: • Leverage the power of community :  Well structured and a compatible model to fit into different cloud platforms.  Great help from the Community: Nicholas Terry, Dmitriy Kalinin  Abundant resources: libraries, docs and forums.  Quick iterative process for validation. • Align internal goals with Community Goals:  Have a single unified goal as opposed to two. Challenges • Working with moving parts.  Looking forward to external CPI model.
  19. 19. What's coming next? 1. Preview this week, from GitHub 2. Community Beta, moving to external CPI 3. Upstream code into CF source tree, getting community approval 4. CF on Azure cluster end to end deployment guidance. 5. Hybrid integration.
  20. 20. Resources GitHub Project Link: Use GitHub for feedbacks and bugs