The ABC and CDA of DevOps! Faraz Syed, Vice President of Engineering Checkpoint Technologies Inc. What is DevOps? Wikipedia definition: • DevOps (a portmanteau of development and operations) is a software development method that stresses communication, collaboration and integration between software developers and information technology (IT) professionals.[1] DevOps is a response to the interdependence of software development and IT operations. It aims to help an organization rapidly produce software products and services. Performance Application Lifecycle (PAL) The challenges today Test vs. Production Test Production The challenges today Test vs. Production • • • • • • • What are the requirements? Am I testing the right things? What should the SLOs be? How can I build scripts faster? How can I set up the monitors faster? How do I recreate production issues in testing? ….. Test • • • • • • What are the requirements? Am I monitoring the right things? What should the SLAs be? How can I build scripts faster? How can I set up the monitors faster? ….. Production The challenges today Bottom line – what they care about… • How can I ensure that Productions\Ops does not come back to me with issues? Test • How can I ensure that I get a quality release form Testing? Production The answer lies in.. Collaboration – changing the way they think • How can Ops help me test the right things? Test • How can Testing help me maintain application quality? Production Performance Application Lifecycle (PAL) Collaboration through HP Performance Center Leverage data from production: To make performance testing: Production usage information from More realistic • BSM, RUM, WebTrends, server logs, etc • Scripts More accurate • From synthetic users - Business Process Monitoring (BPM) • From live sessions - Real User Monitoring (RUM) • Monitoring information • SiteScope profiles Scenarios based on production usage Test results compared with production More reliable • Data sharing, improves results with each testing cycle Step by step flow Collect & analyze production data Load test Analyze load test data Refine load test details Compare production and load test data Export production data from BSM Download peak hour data from BSM and WebTrends API for other sources Create and view production data report Analyze production data in a lifecycle report in PC Include SiteScope monitoring data Design and refine load test Build and refine load test based on production Compare Load Test to Hone in on testing Production discrepancies Evaluate test results vs production data Lab Management Automation The regular process Assumes the lab is ready. Somehow… But the truth is... What about the lab? But we know the challenges: • • • • Who will setup the lab? How long will it take? What type of paperwork/processes? Do you have the infrastructure? What if you want to set it up on the Public/Private Cloud with various vendors? And to take it further… What about the application build? We know the challenges: • • • • Do you know when the build will be ready? Is it set up correctly? Is the process repeatable? What happens to the lab after testing is done? Lab management automation Available in both HP ALM and HP Performance Center Managing & scheduling Automated lab deployment via CDA Schedule lab deployment via CDA and test execution via ALM\PC • Manage testing resources • Build a model • Create build verification tests • Pool resources • Provision a lab • Detect build completion • Schedule timeslots for tests and resources • Deploy the application build • Run tests against dynamic lab Lab management automation In HP Application Lifecycle Management (ALM) and HP Performance Center (PC) Lab Newmanagement section in ALM/PC automation In HP Application Lifecycle Management (ALM) and HP Performance Center (PC) HP’s Continuous Delivery Automation 1.1 HP CDA 101 What is HP’s Continuous Automation Delivery (CDA) 1.1? Enables DevOps Automation Model Driven Approach Cloud Integration Putting CDA together… What is the model-driven approach? Platform Application Computing, Storage, network and software Build artifacts, scripts, commands and execution (start, stop and so on) Topology Relationship between composite application layers i.e. Load Balancer, Application and Database servers) Policy Provides monitoring templates with values and parameters to monitor systems and applications during deployment Thank you! Let’s ask some questions! Faraz Syed VP, Engineering 704.625.2477 fsyed@checkpointech.com www.checkpointech.com