Cloud Native in the Enterprise: Real-World Data on Container and Microservice Adoption
•Download as PPTX, PDF•
8 likes•3,548 views
This document discusses the growing adoption of cloud native technologies in the enterprise. It summarizes that microservices architectures enabled by containers are allowing organizations to minimize risk and maximize agility. Containers are gaining widespread adoption beyond development and into production environments. Container orchestration tools like Kubernetes are seeing the most developer traction. The document also provides real-world examples of large companies like Hailo and Ctrip that have adopted microservices and container-based architectures to scale their systems and applications.
Recommended
Recommended
More Related Content
What's hot
What's hot (20)
Viewers also liked
Viewers also liked (20)
Similar to Cloud Native in the Enterprise: Real-World Data on Container and Microservice Adoption
Similar to Cloud Native in the Enterprise: Real-World Data on Container and Microservice Adoption (20)
More from Donnie Berkholz
More from Donnie Berkholz (16)
Recently uploaded
Recently uploaded (20)
Cloud Native in the Enterprise: Real-World Data on Container and Microservice Adoption
- 1. Cloud Native in the Enterprise Donnie Berkholz, Ph.D. Research Director — Development, DevOps, & IT Ops CloudNative Day, August 2016
- 3. 3 Source: 451 Research/Microsoft Cloud+Hosting commissioned research Minimizing risk, maximizing agility
- 4. The new stack? 4 An infinite array of possible stacks.
- 5. DevOps: A prerequisite for cloud native 5
- 6. 6 Flickr: respresFlickr: hartvig, snapeverything, roymaloon Pets vs Cattle
- 7. Knight Capital and the $460 million bug 7 Wikipedia: Jericho
- 8. Where are we today? 8 10.0% 54.7% 27.9% 6.8% 0.7% Highly Manual Manual with Limited Automation Tools Automated with Manual Exception Handling Policy Based Automation and Orchestration Other n = 843 Source: 451 VotE Cloud, Q3 2015
- 9. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% < 250 employees 250-999 employees 1,000-9,999 employees >10,000 employees Agile adoption: still not universal 9 451 Research, Voice of the Enterprise: Software-Defined Infrastructure, Q4 2015 (n=670)
- 10. 0% 10% 20% 30% 40% 50% 60% < 250 employees 250-999 employees 1,000-9,999 employees >10,000 employees DevOps adoption: reaching the mainstream 10 451 Research, Voice of the Enterprise: Software-Defined Infrastructure, Q4 2015 (n=568)
- 11. DevOps tools in use still vary widely 11 34% 37% 39% 39% 41% 41% 44% 46% 51% 52% 63% Infrastructure as a Service Build and continuous integration… Application… Traditional middleware and… Release management Platform as a Service QA planning and automation tools Configuration management &… Performance Monitoring and… Project management tools Testing Source: 451 Research/Red Hat, Q1 2016, n=201
- 12. 6% 28% 34% 23% 3% 1% 3% 0% 0% 5% 10% 15% 20% 25% 30% 35% 40% Release speed still lags demand 12 Source: 451 Research/Red Hat, Q1 2016, n=201
- 13. Enter containers: The future of virtualization
- 15. 56.1% 10.7% 3.9% 4.2% 2.1% 22.9% 31.5% 10.2% 8.4% 9.4% 4.7% 35.8% 19.1% 10.0% 6.7% 9.5% 4.6% 50.1% Discovery and Evaluation Running Trials/Pilot Projects In Test and Development Environment Initial Implementation of Production Applications Broad Implementation of Production Applications No Plans Q1 2015 Q3 2015 Q1 2016 Docker is not just a toy 15 14.1%} Source: 451 Voice of the Enterprise: Cloud; 1Q15 n=991; 3Q15 n=960; 1Q16 n=461 of cloud-using orgs Prod in 1Q16:
- 16. Docker is not just a toy 16 Source: 451 Voice of the Enterprise: Cloud; 1Q15 n=991; 3Q15 n=960; 1Q16 n=461 30.8%}of cloud-using orgs Pilot+ in 1Q16: 56.1% 10.7% 3.9% 4.2% 2.1% 22.9% 31.5% 10.2% 8.4% 9.4% 4.7% 35.8% 19.1% 10.0% 6.7% 9.5% 4.6% 50.1% Discovery and Evaluation Running Trials/Pilot Projects In Test and Development Environment Initial Implementation of Production Applications Broad Implementation of Production Applications No Plans Q1 2015 Q3 2015 Q1 2016
- 17. Container adoption will grow in many venues 17 451 Research, Voice of the Enterprise: Cloud, Q3 2015 31.5% 10.2% 8.4% 39.8% 31.4% 28.8% On-Premises Private Cloud Hosted Private Cloud Public Cloud 2015 (n = 171) 2017 (n = 430)
- 18. Containers vs VMs: no clear approach 18 451 Research, Voice of the Enterprise: Software-Defined Infrastructure, Q4 2015 10.9% 14.6% 9.0% Containers Run Separately from VMs Containers Run On Top Of VMs Containers Are Replacing VMs n = 458
- 19. Container workloads: led by infrastructure 19 451 Research, Voice of the Enterprise: Cloud, Q3 2015 42.5% 31.0% 24.8% 22.1% 21.2% Application Development Engineering/R&D/Technical Computing Web (excluding search) Line of Business (LOB) Applications Virtual Desktop Infrastructure and Mobility Management n = 113
- 20. Fragmentation drives microservices — enabled by containers 20
- 21. The foundation of microservices 21
- 22. Kubernetes seeing the most developer traction 22
- 23. Container orchestration is limited (∴ adoption immature) 23 451 Research, Voice of the Enterprise: Cloud, Q3 2015 9.4% 36.1% 39.9% 14.6% Currently use Considering using in the next two years Not familiar with these tools Have no plans to use in the next two years n = 534
- 29. Complexity is the new normal 29
- 30. Real-world example #2: REA (realestate.com.au) 30 http://techblog.realestate.com.au/a-microservices-implementation-retrospective/
- 31. REA microservices timeline 31 0 20 40 60 0 6 12 18 24 Microservices Months http://yowconference.com.au/slides/yow2014/SkurrieBottcherEvans-MonolithsToMicroservices.pdf “ Microservices is a long term strategy.” – Evan Bottcher, ThoughtWorks/REA, 9 Dec 2014
- 32. Real-world example #3: Ctrip (Chinese travel site) 32 http://www.slideshare.net/yang75108/micro-service-architecture-c-trip-v11
- 33. Real-world example #3: Ctrip (Chinese travel site) 33 http://www.slideshare.net/yang75108/micro-service-architecture-c-trip-v11
- 34. Real-world example #3: Ctrip (Chinese travel site) 34 http://www.slideshare.net/yang75108/micro-service-architecture-c-trip-v11
- 35. The cloud-native movement is ready to take off 35 32% 32% 13% 13% 9% Developing and running web-based applications Migrating legacy workloads and applications to the cloud Developing and running cloud native applications Managing legacy workloads, applications and assets on the cloud Testing new technologies and methods Source: 451 Research/Red Hat, Q1 2016, n=201
- 36. 36 Thank you! Donnie Berkholz Twitter: @dberkholz donnie.berkholz@451research.com
- 37. Some content from this presentation is Creative-Commons licensed. https://creativecommons.org/licenses/by-sa/ https://creativecommons.org/licenses/by/ 37
- 38. From primitives to platforms 38 FaaS (Serverless) PaaS IaaS CaaS Config mgmt Container orch VMs Container s OpinionatedFlexible
- 39. Minimizing risk, maximizing agility Architecture: Microservices, composable monitoring Code: Continuous integration, feature flags Servers: Continuous delivery, infrastructure as code Services: Rolling updates, resilience engineering Product: Continuous deployment, restricted audience 39
Editor's Notes
- 0 talks at Glue last year, 12 this year 1 proposal at OSCON last year, 30 this year Intro myself and credibility re containers/microservices
- Q: “Allocate 100 points among the following five goals as they relate to your company or organization?” Overall business goals Enabled by cloud, open source, self-service IT
- Languages, databases, frameworks … What’s driving the way we build technology?
- Why? Replicable – env parity Scalable Accelerated
- For cloud users: In general how would you describe your organization’s workload or service provisioning process?
- Overall 65.1%
- Overall 39.6%
- Data, not just code Note this is screened for DevOps-leaning audience Most orgs doing testing, but few automated pipelines
- Q: “Approximately how often do you deploy software applications to production?” Audience: People influential in cloud-services development
- The next step in DevOps How do we cope with these demands for agility, scalability, automation, transience?
- Make sure to clarify difference between Docker and K8s
- Of cloud-using orgs
- Of cloud-using orgs
- Q13. How is your organization's use of containers distributed across the following environments today? Q13. How will your organization's use of containers be distributed across the following environments in two years?
- Q30. What is your organization’s strategy (if any) around the use of containers (e.g. Docker)? How does this change the infrastructure you’ve invested in for virtualization?
- Q38. What are your organization’s top 3 workloads that utilize container technologies?
- Nomad out of HashiCorp, new competitor to Mesos/Kubernetes Azure Container Service, building on Docker & Mesos. Beta by EOY 2015 Also note PaaS providers moving to containers
- Make sure to clarify difference between Docker and K8s
- Q16. What are your organization’s plans regarding a container orchestration tool?
- Hard to add new features, slow provisioning, SPOF
- Worked well: template project, resilience, idempotence, automation, exposing verbs Wrote their own testing library to test consumers Problems: right-sizing, code sharing (inheriting from common git repo and adding files worked)
- Fit service into existing infra, don’t fit infra into service Conway’s law – services fit org Skill, ops overhead, complexity, testability
- Fit service into existing infra, don’t fit infra into service Conway’s law – services fit org Skill, ops overhead, complexity, testability
- Fit service into existing infra, don’t fit infra into service Conway’s law – services fit org Skill, ops overhead, complexity, testability
- Q: “What are the top two uses of cloud-based platforms in your organization?” Audience: Those responsible for or influencing cloud-services decisions
- DevOpsDays Minneapolis, July 20-21. $249, or $199 if you’re a startup, self-financed, etc
- Most private PaaS options have bought into containers at this point