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Keys to continuous testing for faster delivery euro star webinar
The document discusses the implementation of continuous testing within DevOps to meet the demand for faster software delivery while maintaining quality. It highlights the challenges faced by large enterprises, including complexity, security, and manual processes, and emphasizes the need for automation and collaboration between business and IT. The authors predict that by 2020, continuous testing will be widely adopted by enterprises through frameworks and open-source tools.
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Keys to continuous testing for faster delivery euro star webinar
- 1. October 2017 Keys toContinuous Testing Eran Bachar and Ayal Cohen
- 2. calls for building,testing and releasing quality software at the pace and frequency of business needs Demand for faster delivery of innovation
- 3. DevOps Back to thebasics Always know what the customer wants Continuously deliver high quality, secure applications Work together as a team Drive out waste in the system Keep assessing and improving the customer experience
- 4. Evangelized by thestartups… …but a challenging proposition for large enterprises. DevOps
- 5. quality compliance manual processes open sourceproliferation security cloud monolithic architectures costpressures deliver faster software complexity micro services containerslong cycles lack of insight delivery outsourcing agile testing tools governance enterprise data portfolio management configuration operationsdev release code deployments integrations latency user experience test lack of automation workflows scaling culture is challenging
- 6. Our Micro Focuspoint of view Predict and manage Software Complexity An explosion in composite and service- oriented architecture adoption, and software surface areas from web to mobile to things, Thrive with Agile and DevOps transformation Shrinking window of monetization drive business and IT to collaborate and release faster This accelerates adoption of Agile & DevOps practices. Optimize Hybrid Delivery Software dev is shifting from primarily custom code creation to cloud service compositions and consumption preference is shifting to cloud and utility models “By 2020, DevOps initiatives will cause 50% of enterprises to implement continuous testing using frameworks & open-source quality tools” Gartner Dec. FY’16
- 7. You Application changes Time CostQuality Choose two
- 8. Faster Delivery at areduced cost… means less focus on quality and low test coverage in each release.
- 9. Reduced cost and increased quality/ coverage… takesmuch more time to deliver.
- 10. High quality and fast delivery… tendsto be expensive.
- 11. The solution? Reduce thescope of application changes Automate testing and execution from the CI Remove dependencies – internal and external
- 12. So what doI automate?
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- 14. Unit API UI Release 1 Release2 Release 3 Unit API Unit
- 15. Release 1 Release2 Release 3 UI AP I Unit UI API Unit UI API Unit !
- 16. Change in • Executablecode • Configuration • Infra / environment • Data • Monitoring Everything codified and version controlled Automated tests (lots) Manual tests (few)Embedded security scans Automated deployments Autonomous Operations Feedback loops Continuous Delivery pipeline UFT Pro StormRunner Load Codar ChatOps AppPulseSiteScope
- 17. Build to QA2-4 weeks Automation for specific areas Major release 18-24 months Capacity - 8 products Build to QA – Hourly/Daily Fully Automated CD Pipeline SaaS release 4-8 weeks Quarterly On-prem release Capacity – 15+ products Multi billion dollar business unit in a Fortune 10 company
- 18.
- 21. True DevOps process DevGit Jenkins Maven ProductionTestsIntegrated env. CodarNexus Repository RepositoryBuild Orchestrator Build tool Deployment Orchestrator Server HPESW tools Server Commit Git plugin (listen, wait for changes) Code change available OK Create war(s) Store war(s) OK Last war(s) Retrieve last war(s) Post new war(s) in Staging Perform tests Test new war (UFT via ALM, LeanFT, SRS, NV, SV) Tests passed/failed indication Mark last build status pass/fail Deploy to production (nightly) Retrieve last successful build Deploy to Production OK Use Production data for more accurate tests (PAL/NV)
- 22. True DevOps process– Micro Focus tools Jenkins Production Server CloudMicro Focus SaaS ALI DevBridge ALM UFT Mobile Center BPT StormRunner Load AppPulse Trace AppPulse Mobile Network Virtualization Staging Environment GIT/IDE LeanFT Service Virtualization Use Production data for more accurate tests ALM Octane StormRunner Functional
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- 30. Thank youwww.microfocus.com/ADM Ayal Cohen @Ayalc76 Ayal.cohen@microfocus.com EranBachar @eranbcr Eran.bachar@microfocus.com
Editor's Notes
- #3 Today’s business landscape demands rapid delivery of innovation…
- #4 But it’s not enough to say, “go faster”. Doing so typically ends in disaster. To succeed, we needed to go back to the basics and re-engineer how we deliver. This is the heart of the devops movement…
- #5 Something about unicorns…
- #6 When we talked to our customers about their concerns around delivering faster, they raised all sorts of valid reasons why DevOps could fail. But the most common concern was quality…
- #7 Need for sustained excellent user experience requires new approach to scale Now we set up the discussion around our unique Micro Focus Point of View for App dev, test and delivery management We believe in the following: To thrive in rapid delivery of software innovation, we must balance and be able to deliver software with DevOps speed but also with quality We need to rethink how we manage software complexity to adapt to new architectures and delivering software on new surface areas. A new approach to ALM will get us there We need to plan for and optimize how we use hybrid delivery models to achieve new levels of scale and ensure a consistently adaptive and ideal user experience Two other factors are core to our POV as well: First, the world has moved to open source as a core enabler of Agile development. We believe in leveraging the flexibility of open source but adding enterprise scale to get true efficiencies in today’s multi-model IT environment Secondly, it’s not enough to continue to innovate. We need to deliver the bridge from where customers are today to where they are going, enabling you, our customers to maximize your ROI of your existing investments while engineering for the future
- #8 So let’s start from the beginning. When it comes to application changes, everyone should know there are three factors that control your world; Those are time, quality and cost. The problem is, these don’t complement each other at all, and you can only choose two.
- #9 For example if you want to deliver faster at a reduced cost, this means you’ll have less focus on quality and low overall coverage in each release. You simply aren’t given enough time or resources, whether those are people, environments or automation to keep coverage high.
- #10 If you want to reduce cost and increase quality, that’s going to increase the amount of time it takes to deliver… by a lot. This is because you need more time to cover all aspects of your application changes to keep the risk of failure low.
- #11 And lastly if you want to deliver a high quality application and do so quickly, this tends to mean you throw more people, environments or tools at the problem; which can be expensive. Why more environments, you ask? Well, typically changes don’t happen in a serial fashion, and by the time you are wrapping up testing for a particular release, your developers have already started working on the next one. In order to avoid downtime, this means each release that is in the pipeline will have it’s own environment to operate in. There’s the current release, the testing version, and the developing version at a minimum, and each of these cannot exist in a vacuum. There are integrations to consider, which drives the cost and often the time up even further.
- #12 So what can we do? Well, the core tenet in devops is to release a smaller number of changes more frequently to production. This dramatically reduces the amount of testing that needs to be done, but it still needs to be done. That’s where automation comes into play. By automating as much testing as possible each release, we can focus more on the new or changed features and have automation provide the feedback needed to support the rest. We don’t simply automate functional test execution either. No, this means we need to automate unit testing, functional regression testing, performance and security testing, as well as standing up the environments and deploying the application changes required to run all of this. Which leads to the third factor, which is removing dependencies from the equation. Whether through virtualization techniques such as service and network virtualization, or deployment of micro-services to support the environment, or both, the application should be virtually self-contained in a way that accurately represents the functionality and performance of those dependencies in production. Otherwise, we’re not getting a complete picture.
- #13 Sounds easy, right? But what about that automation piece? What do we need to automate in order to succeed with a continuous testing strategy like this?
- #14 It’s important to note that all tests are not equal. There are basic layers of our application testing… Something about the cost, coverage and frequency of execution…
- #15 In theory, it might look like this. In release one we have basic Unit Testing only, and in the following release we focus on automating the API testing, followed by the UI. The problem is, this is not how applications are built and there will still be a lot to cover from the first release by the time we get to release #3, and that’s not including the changes that happen in between.
- #17 When you put it all together, starting from automation of your versioning and build deployment to automated functional, security and performance testing, it can look a lot more complicated but the principles are the same. You just need to start small, and build from there. HPE Software leverages and supports a lot of the ecosystem you will find in a continuous delivery pipeline, which will increase your chances of success.
- #18 One such company, which Ayal will tell us about shortly, saw significant improvement in their release cadence and overall quality by moving to continuous testing using HPE Software. This wasn’t some small startup, but a multi-billion dollar company.