Cloud and agile software projects: Overview and Benefits
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The document provides an overview of leveraging cloud solutions for agile software projects, detailing the benefits and challenges associated with using different cloud models like SaaS, PaaS, and IaaS. It highlights the importance of self-organizing teams, continuous adaptation to change, and the integration of cloud tools to enhance collaboration and productivity in software development. Additionally, it includes case studies, demo links, and emphasizes the need for careful consideration of lock-in risks and security concerns.
Cloud and agile software projects: Overview and Benefits
- 1. Your Name Cloud and agile software projects Overview and Benefits Alain Delafosse @adelafosse Guillaume Berche @gberche
- 2. Welcome ! Guillaume Berche • Orange, Y!, Kelkoo • Cloud, PAAS, Dev Alain Delafosse • Capgemini, Kelkoo • Cloud, IAAS, DevOps • Session Contract: Synthesis on leveraging Cloud for your agile dev project • Level: Beginner -> Experienced • Audience : developers, projects managers, architects •Session Outline: - Introduction - Leveraging SAAS for software build - Demo 1 - Running your software in the cloud - Demo 2 - Conclusion 20 Nov 2014 2Introduction
- 3. Agile software projects challenges Software development tooling • Getting complex • Expensive to deploy and maintain Team is agile, infrastructure is not • Provisionning delays • Architecture is evolving along with the business requirements changes Agile Product definition • Iterative requires strong collaboration • Sometimes distributed team • Frequent tests run 1 2 3 20 Nov 2014 3Introduction
- 4. Cloud basics SAASPAASIAAS 20 Nov 2014 4Introduction
- 5. Cloud attributes • Self-service & rapid provisionning • Pay per use • Rapid elasticity: illusion of infinite capacity • Network based, location independence • Cloud APIs • Measured service, SLAs Cloud and Agile software projects Self-organizing teams • Continuous attention to technical • excellence and good design-- Working software is delivered • frequently (weeks rather than-- months)-- Regular adaptation to changing • circumstances-- Welcome changing requirements • even late in development-- Agile principles 20 Nov 2014 5Introduction
- 6. Leverage Saas for software build • Description: Provision a software factory in the cloud • Pro: • Lead time, you have a software factory within minutes • Try it with your credit card, show the benefits. • Con • Watch for confidentiality issues if your app is sensitive. Scenario 1: develop in the cloud • Description: Integrate SAAS tools into your on-premise software factory • Pro: • Some tools enables real-time collaboration for remote teams while most products available for private installation don’t. • Tools remains up-to-date and patched. • Con • Assess integration costs and lock-in risk versus in house deployment Scenario 2: integrate cloud/web SAAS solutions Leverage the SaaS ecosystem can speed up agile teams bootstrap, and give access to best in class tools during the build phase. 20 Nov 2014 6Leverage SAAS for software build
- 7. Case study : Cross browser testing • Currently manually testing my web product on various browsers, both desktop and mobile • http://www.gatewickairport.co m/ • Need to automatically run automated tests on multiple browsers Context • Leverage Sauce labs offer ! • Features: systematic video recording, debugging tools. tunnelled accesses to private servers Solution DEMO Time ! 20 Nov 2014 7Leverage SAAS for software build demo recording: https://drive.google.com/file/d/0B_RQz82RzSUnNi1fenJ6VFZTeE0/view?usp=sharing
- 8. SaaS development tooling landscape Load TestBrowser testing Product definition Design Code / Build ReleaseTestsCoordinate Security testing CI/CD Collaboration Specifications SCM Drawing Bin Repositories This is a selection as there are many more…… 20 Nov 2014 8Leverage SAAS for software build
- 9. Benefits Constraints Running your software in the cloud Other structuring choices: Iaas vs Paas Public/ private / hybrid 20 Nov 2014 9Running your software in the cloud
- 10. Cloud landscape 20 Nov 2014 Running your software in the cloud 10 Open PaasLinux Containers Iaas Kubernetes Google Container Engine True Paas Maturity / Adoption
- 11. Different models, different abstraction levels Iaas Linux container Paas compute & app delivery x86 vm image (AMI, OVF) + VM parameters (accessible thru REST metadata service, vmwaretools) os image (docker image) + ENV vars app source or binaries: (*.php, *.jar, *.js) + ENV vars networking L2 virtual networking: virtual nic (eth, mac addr), public/private IP, virtual network (CIDR) Load Balancer (TCP, HTTP) Managed DNS (Route 53 API) L4 TCP port binding L7 HTTP(S) virtual host storage Device block (attached device), epheremal + persistent Data volumes ( file system) Ephemeral file system Object store (S3) additional services blob store, long term archival CDN RDB, NoSql, Cache, Analytics... idem idem 20 Nov 2014 11Running your software in the cloud
- 12. Case study: CloudFoundry paas deployment • compile app: travel.war • download CLI • login • create newrelic • create redis • create mysql • push app binaries (travel.war) – with route, ram, • watch logs • watch metrics • scale 5 DEMO Time ! 20 Nov 2014 12Running your software in the cloud demo recording: https://drive.google.com/file/d/0B_RQz82RzSUnRndqdjQyZ1FxWlk/view?usp=sharing
- 13. Iaas or Paas Consider IAAS if you have Consider PAAS if you have Technology Atypical/specific needs (protocols, language, middlewares) Standardized software stack and programming model • An existing wide technical expertise (from build, qa, run) to manage the whole stack • A capacity to select, integrate, maintain many individual heterogeneous components Skills A preference for reduced complexity and a focus customer needs rather than tech plumbing Team A team with tight collaboration among dev and ops withshared ownership of infrastructure automation A dev oriented team with few competencies across the full stack Benefit Risk Iaas services lock-in Effort to maintain platform Paas platform lock-in Freedom, good control on platform Productivity, Time to market 20 Nov 2014 13
- 14. Cloud architecture • Design for failure , for scalability , hence stateless • No local data on servers, servers storage is ephemeral => move all state to services • Data: cipher you “critical” data when running in the cloud: HTTPS, ciphered payload (CPU is not expensive) • Separate read and writes services (CQRS pattern) • Hybrid patterns • Cloud overflow • Web UI in the cloud, Core web services on premise Cloud lock-in • Encapsulate API usage of external services • Balance usage of added value services versus lock-in. Automation: use the maximum of multicloud APIs: jclouds, fog, libcloud, Developing and running: The key points 20 Nov 2014 14Conclusion
- 15. • Conclusion: Try it during build or run • Questions ? • ROTI (Return on time invested) – don’t forget to give your feedback • Slides to be shared, check out our twitter accounts • Let’s meet tomorrow at Agile Innovation • Share your own cloud adoption experience #AG14 #cloud @gberche @alaindelafosse 20 Nov 2014 15Conclusion
- 16. Backup slides for Q&A 20 Nov 2014 16
- 17. Public / Hybrid / Private infrastructure • Controlable model but more integration work required • Private for dev and public for run (or the opposite!) • Mixed run mode (private for webservices and critical data, cloud for front-end and CDN) • Overflow/bursting to Cloud • Cost might not be that effective if you’re using basic infra (automation is key) • Have to deal with confidentiality and security • Risk of lock-in • Reversibility to private/dedicated hosting • Enable access to a large ecosystem: monitoring, logs PUBLIC More mature and more comprehensive HYBRID Take the best of both worlds • Significant investments and maintenance costs • Much restricted offering • Products are still maturing for basic offers (Iaas, Paas) • Fewer products for specialized services (RDBMS, NoSql, Caches, Logs, Analytics, BigData…) PRIVATE Deploy a IAAS of PAAS framework on your premises 20 Nov 2014 17Running your software in the cloud
- 18. Cloud benefits increase with team maturity and automation practices Full Automated devops AutoScaling Automated Fault tolerance ... Team maturity Value CI= jenskin ds le cloud cd: provisionner des vm pour les test SaaS (CMS, mockups, tracker, GIT ….)20 Nov 2014 18
- 19. Team Impact of cloud usage ?? Cloud impact on roles distribution within an agile team: organization transformation: moves the lines between dev and ops 20 Nov 2014 19
- 20. Q&A: What about you? What’s your experience so far ? • Interactive part – more audience survey: SMB vs large enterprise – split according to survey results – share your experience using your post-its and organize them into clusters: •challenges/issues (orange post-it) •success/solutions (green post-its) 20 Nov 2014 20
- 21. Cloud automation enables social coding Automation with Cloud boosts opensource reuse/sharing/social coding => more productive e.g. netflix opensource components distribution of opensource or cots as AMIs/appliances/ docker images / paas apps 20 Nov 2014 21
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