Presentation on 3 Pillars of DevOps - Kovair DevOps
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The document explains DevOps as a methodology aimed at improving delivery efficiency, reducing time-to-market, and integrating people, processes, and tools. It emphasizes key principles such as continuous integration, testing, and delivery, highlighting the benefits of real-time visibility, lower risks, and faster releases. Additionally, it discusses the advantages of ESB-based integration in achieving flexibility and reduced maintenance overhead.
Presentation on 3 Pillars of DevOps - Kovair DevOps
- 1. Amit Dasgupta, PMP, CSM Director – Major Accounts & Partnership [email protected]
- 2. 2 What is DevOps? • Technology to Process mapping in order to • Improve the efficiency of your delivery process • Reduce time to the market • Bring people, process and tools together • Enable continuity in the entire delivery lifecycle DevOps
- 3. Basic Principles of DevOps 3 Iterative & Incremental Continuous Automated & Self-Serviced Collaborative HolisticThinking
- 4. 4 Wallofconfusion DEV Development I want Change OPS Operations I want stability DevOps –TheSolution Proposed
- 5. 5 The philosophy of continuity – 7C’s of DevOps OperationsALM Continuous Planning Continuous Integration Continuous Testing Continuous Monitoring Continuous Delivery Continuous Operations Customer Continuous Status Update on fixes and CRs Coding and Check-in for Automated Build Functional Testing, UAT and Test Automation Memory, Application Performance, DB Usage Monitoring Bi-directional IntegrationsRequirements/ CRs/Defects Release Pipeline Tracking Reports, Dashboard and Traceability Analyst Support Tickets Continuous Feedback
- 6. 6 • Development practice that requires developers to integrate code into a shared repository several times a day • Each check-in is verified by an automated build, allowing teams to detect problems early • Benefits • Say goodbye to long and tense code merge • Increase visibility enabling greater communication • Catch issues early and nip them in the bud • Spend less time debugging and more time adding features • Build a solid foundation • Stop waiting to find out if your code’s going to work Continuous Integration -CI
- 7. 7 Developer 1 Developer 2Manager 1 Check in changes 2 Fetch changes 3 Build Notify Success Or Failure 6 4 Test 5Success / Fail Continuous Integration Server Source Control Server Continuous Integration -CI
- 8. 8 • Assesses business risk coverage • Provides instant insight on release candidate quality • Embeds testing within the development process, not tacked on at the end • Avoids bottleneck, executes the right set of tests at the right stage of the delivery pipeline • Delivers actionable & right feedback for each stage of the delivery pipeline • Evaluates each layer of a modern architecture at the appropriate stage of the delivery pipeline • Reduces false positives by prioritizing robust, flexible modern test frameworks over brittle scripts • Eliminates redundancy by continuous review and optimal test suite ContinuousTesting –CT
- 9. 9 ContinuousTesting Write All Test Scripts CodeScript Integrated Code Auto Build Auto Automated Integration Testing Auto Automated Acceptance Testing Auto Automated Performance Testing No human intervention Write Integration Test Scripts RunCode Automated Integration Testing Wait Write Acceptance Test Scripts Run Automated Acceptance Testing Wait Write Performance Test Scripts Run Automated Performance Testing Wait time impacts efficiency Test Automation TestAutomation &ContinuousTesting
- 10. 10 • Principles • Build quality in • Work in small batches • Computers perform repetitive tasks, people solve problems • Relentlessly pursue continuous improvement • Everyone is responsible • Benefits • Low risk releases • Faster time to market • Higher quality • Lower costs • Better products • Happier teams Continuous Delivery –CD
- 11. ContinuousTestingContinuous Integration Continuous Delivery 11 Version ControlDevelopment Build & Unit Tests Automated acceptance tests User acceptance tests Release Check in Trigger Check in Trigger Check in Trigger Feedback Feedback Feedback Feedback Approval Approval Trigger Feedback Trigger Feedback Continuous Delivery Scenario 1 Scenario 2
- 12. Challenges in Standardizing DevOps 12
- 13. Challenges in Standardizing DevOps 13
- 14. 14 • Establishes real-time alliance between delivery, development, and operations • Achieves cross-tool traceability among data across different tools • Embeds test strategy execution for continuous testing • Enables continuous integration on successful accomplishment of code check-in • Achieves continuous testing via workflow based test automation • Enables an uninterrupted delivery • Provides real-time visibility to release quality through reports and dashboards • Provides meaningful metrics, reports and KPIs for speedy decision-making • Enables continuous delivery via tracking release pipeline Role of Integration In DevOps
- 15. 15 Operations Planning Development QABuild & Deploy Release ESB Based Integration -Architecture CrossToolTraceability CrossToolWorkflow CrossTool Reports & Dashboards ESB Enterprise Service Bus ESB Service Model Security Transports Service Locator Data Transformation Interceptors Protocol Bindings
- 16. 16 • Faster and cheaper accommodation of existing systems. • Increased flexibility; easier to change as requirements change. • Protect your investment by integrating any tool of your existing tools ecosystem • Scales from point-solutions to enterprise-wide deployment (distributed bus). • More configuration rather than integration coding. • Standards-based • Less maintenance overhead compared to point to point integration ESB Based Integration -Advantages
- 17. 17 ESB
- 18. 18 Initiation Application Development Test & Acceptance Production Plan Code Build Customer Inputs Test/QA Stage Release Deploy Provision Config Monitor
- 19. 19 MonitorConifgProvisionDeployReleaseStageTest/QABuildCodePlan Custome r Inputs Lead time Business need analysis Quick req. capturing Real-time reports CustomerTicket volume • Code volume • Commit volume • Release speed • Code quality • Defect fixing speed Test volume Code coverage Exception counts Test automation Open rates/ close rates Requirements coverage Change request Release quality Pre-prod stability Release downtime Network bandwidth usage CPU utilization Memory usage Operations/ second Application performance Issues feedback Mean time between failures (MTBF) MeanTime to Repair/ Recover (MTTR) Security Process time Team efficiency Unplanned work Proper resourcing Time and cost allocation Build speed Failure rates Manual exceptions Performance Latency Scalability Deployment frequency Change volume Cycle time % of failed deployments Response time Uptime/Availability Infrastructure usage
- 21. 21 Thank You Silicon Valley based Software Product Company Kovair Software Inc. www.kovair.com Contact: [email protected]