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Containers, microservices and serverless for realists

A quick look at what the hype about containers, microservices and serverless is all about!

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Containers, Microservices &
Serverless for Realists
Karthik Gaekwad
@iteration1
Keep Austin Agile 2017
• Principal Member of Technical Staff
• Oracle Container Cloud Team
• Previous:
• 10 years building cloud products
• Enterprise/Startup experience
Karthik Gaekwad
@iteration1
• Community Involvement:
• Devopsdays Core Organizer
• Container Days Core Organizer
• Cloud Austin
• Docker Austin meetup
• The most popular docker helloworld
image: dockerhub.com/karthequian/
helloworld
Karthik Gaekwad
@iteration1
Audience Survey
Overview
• The Evolution of DevOps
• Rise of Microservices, Containers,
Serverless applications
• What are they?
• Why should you care?
• What are they used for?
Evolution of Devops
• Devops at least officially 8 years old
• Velocity 2009:
• 10 Deploys a day at flickr by John Allspaw, Paul
Hammond
• Agile Infrastructure openspace: Andrew Shaefer &
Patrick Debois
• 2009: 1st Devopsdays conference, Ghent
• Today: ~150 official devopsdays conference

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Containers, microservices and serverless for realists

  • 1. Containers, Microservices & Serverless for Realists Karthik Gaekwad @iteration1 Keep Austin Agile 2017
  • 2. • Principal Member of Technical Staff • Oracle Container Cloud Team • Previous: • 10 years building cloud products • Enterprise/Startup experience Karthik Gaekwad @iteration1
  • 3. • Community Involvement: • Devopsdays Core Organizer • Container Days Core Organizer • Cloud Austin • Docker Austin meetup • The most popular docker helloworld image: dockerhub.com/karthequian/ helloworld Karthik Gaekwad @iteration1
  • 5. Overview • The Evolution of DevOps • Rise of Microservices, Containers, Serverless applications • What are they? • Why should you care? • What are they used for?
  • 6. Evolution of Devops • Devops at least officially 8 years old • Velocity 2009: • 10 Deploys a day at flickr by John Allspaw, Paul Hammond • Agile Infrastructure openspace: Andrew Shaefer & Patrick Debois • 2009: 1st Devopsdays conference, Ghent • Today: ~150 official devopsdays conference
  • 9. Evolution of Devops “System administrators participating in an agile development process alongside developers and using many of the same agile techniques for their systems work.” The Agile Admin Blog Well Defined:
  • 10. Evolution of Devops • Training classes available: • Devops Fundamental Course (Ernest Mueller, James Wickett) • Certifications available: • AWS Certified Devops Engineer • RedHat Certified Devops Architect • Devops Foundations by the Devops institute
  • 11. Containers & Microservices …The next phase of Devops
  • 12. Containers & Microservices • Containers and Micro services fit the devops paradigm! • Microservices allows developers to build applications in modular way • Allows for containerization • Containerization allows for collaboration between dev and ops • Common language spoken between 2 teams in an org
  • 13. Microservices “Independent processes communicating with each other with well defined API’s to form larger more complex applications”
  • 14. Microservices • Do one thing, and do it well (fine grained) • Independently built- common language to communicate • Independently deployable • Fault tolerant and reliable • Based on 12 factor app principles
  • 15. 12 Factor App •Use declarative formats for setup automation; minimize time and cost for new developers joining the project •Clean contract with the underlying OS, offering maximum portability between execution environments; •Suitable for deployment on modern cloud platforms •Minimize divergence between development and production- enabling continuous deployment •Scale up without significant changes to tooling, architecture, or development practices.
  • 16. Relationship with containers • Microservices + containers are a great fit • Single service on a container: • Isolates service and makes it easy to manage and debug • Best practice for new architectures with containers • Consider building your architecture in this manner
  • 17. Containerization • Strong collaboration between dev and ops. • Initially championed by developers, and now well liked by operations as well.
  • 18. Trends • 2 great surveys: • Datadog docker adoption: https:// www.datadoghq.com/docker-adoption/ • devops.com & ClusterHQ survey: https://clusterhq.com/assets/pdfs/ state-of-container-usage-june-2016.pdf
  • 19. Source: devops.com and clusterHQ survey 2016
  • 20. 2016: 10.8% of all Datadog customers use Docker (up from 8.2% in 2015)
  • 21. 10% of all hosts monitored by Datadog have Docker running on them
  • 23. Fundamentals • Portability • Standardized Environments • Scaling • Continuous Delivery • Dependency Management
  • 24. Portability •Idea of writing once and running anywhere. •As long as your application is Dockerized, you can run it anywhere that has the Docker Engine installed. •Easy to change from 1 host to another. •Flexibility to change underlying infrastructure/operating systems etc. •Change from 1 cloud provider to another.
  • 25. Standardization • Coding environments can be made consistent from development ->staging->QA->production. • Per environment configurations are fed in the same way to each container which reduces configuration issues. • Time spent debugging environmental issues is reduced drastically. • Developers understand the production environment better, which leads to better code quality.
  • 26. Scaling •Containers take seconds to deploy. •Scale up and down your infrastructure is a lot faster than traditional configuration management tools.
  • 27. Continuous Delivery •Docker API’s and Docker Hub make it easy to build a deployment pipeline. •After successful builds, a CI system can build and push a Docker image to the Hub/private Docker repo. •Deploy new containers to desired environment on a periodic basis/trigger webhooks to deploy.
  • 28. Dependency Management • Dependency hell happens when: • 2 running Java or Ruby applications that depend on different versions of the same library….. • How Docker can help: • Isolate each application (along with it’s dependencies) so that they can be loaded in their own container. • 1 container for 1 application or service (micro service architecture)
  • 30. Standardization Take existing (or new) applications, containerize them, run them the same way on dev/stage/production.
  • 31. Standardization • Typical Pattern: • Infrastructure/Applications run in containers. • Every code push builds a new image for the application. • All environments uses the same command to run the application: • sudo docker run -d -p 7777:7777 -e SE_DB=‘db_val’ karthequian/helloworld
  • 32. Standardization Example • Write service RFC (Request for Comments) • Wait for feedback • Scaffolding work + Develop service • Wait for infrastructure team to write service scaffolding • Wait for infrastructure team to provision services • Deploy to development servers and test • Deploy to production • Monitor, iterate • Uber (In the past)
  • 33. Standardization Example • Write service RFC (Request for Comments) • Wait for feedback • Scaffolding work + Develop service • Build containers for service • Wait for infrastructure team to deploy containers to development servers • Deploy to development servers and test • Deploy to production • Monitor, iterate • Uber (With Docker)
  • 34. Standardization Example • Implementing Docker got rid of: • Wait for the infrastructure team to write service scaffolding • Wait for infrastructure team to provision services • Ops doesn’t rely on playbooks, but rather, just deploy existing container images • No fear of one set of dependencies for one app, breaking another app • Uber (With Docker)
  • 35. CI/CD Pipeline Most common usecase of how teams use Docker
  • 38. CI/CD Pipeline create a dockerfile Commit code to source control Build triggered in CI system
  • 39. CI/CD Pipeline create a dockerfile Commit code to source control Build triggered in CI system Build container image
  • 40. CI/CD Pipeline create a dockerfile Commit code to source control Build triggered in CI system Build & Test container image Push to docker registry Completed CI!
  • 41. CI/CD Pipeline create a dockerfile Commit code to source control Build triggered in CI system Build & Test container image Push to docker registry Webhook trigger to Orchestrator
  • 42. CI/CD Pipeline create a dockerfile Commit code to source control Build triggered in CI system Build & Test container image Push to docker registry Webhook trigger to Orchestrator New containers online! Completed CD!
  • 43. Other Usecases •Hosting Legacy Applications •Running a PaaS/ Datacenter using Docker. •EngineYard/Yandex/Baidu are great examples of this. •Containerizing hard to run applications is becoming a frequent usecase. •Single->multi tenant apps: http://flux7.com/docker/
  • 47. Container Orchestration • Methodologies: • Nomad • Docker Swarm • Kubernetes • Mesos + Marathon • Custom!
  • 48. Container Orchestration • Compare & contrast: http:// blog.gingergeek.com/tag/ orchestration/ via @lcalcote
  • 49. Orchestration Source: devops.com and clusterHQ survey 2016
  • 50. Container Orchestration • My Opinions: • Don’t build your own • What are your infrastructure goals? • Consider team size and strength of team
  • 53. Serverless Applications • First used to describe applications that depended on 3rd party applications / services (‘in the cloud’) to manage server-side logic and state • “Backend as a service applications”
  • 54. Serverless Applications Applications where some amount of server-side logic is still written by the application developer Unlike traditional architectures is run in stateless compute containers that are event-triggered, ephemeral (may only last for one invocation), and fully managed by a 3rd party. One way to think of this is “Functions as a service”. AWS Lambda, Azure functions- most popular implementations, but there are others.
  • 55. Traditional Architecture Client (Browser) Load Balancer Load Balancer Load Balancer Server Database
  • 56. Serverless Architecture Client (Browser) Auth Service Web DeliveryAPI Gateway Database Function B Function A Function C
  • 58. • Way to code microservices does not change: 12 factor app mindset • You still have to think of scaling in PaaS: • “How many dynos do I need in Heroku to run this app?” • “How long does it take to scale from 2->4 servers?” • Auto scaling on PaaS is great, but this is on a request basis • Forces developers to write cleaner, more efficient code Difference from PaaS?
  • 59. Difference from containers? • FaaS is typically built with containers… • Once again..Scaling is the core difference. • Managed, transparent, fine grained. • Need to invest time in container platforms to perform scaling actions. • Prediction: may not be true a year from now…
  • 60. Serverless Use Cases • Image Processing • Data Transformation • Log Analysis • Authentication, Licensing
  • 61. Loved it? Hated it? Send me feedback: @iteration1
  • 62. Attributions • Images: https://unsplash.com and https://pixabay.com • State of devops whitepaper: https://puppet.com/resources/infographic/2016-state-of-devops-report-infographic • Datadog docker adoption: https://www.datadoghq.com/docker-adoption/ • devops.com & ClusterHQ survey: https://clusterhq.com/assets/pdfs/state-of-container-usage-june-2016.pdf • Oracle Docker Images: https://github.com/oracle/docker-images • Oracle Container Cloud Service: cloud.oracle.com/container • Oracle Application Container Service: https://cloud.oracle.com/en_US/application-container-cloud • Microservices: https://martinfowler.com/articles/microservices.html • 12 factor apps: https://12factor.net/ • Serverless: https://martinfowler.com/articles/serverless.html • Legacy apps at Uber: https://thenewstack.io/docker-helped-turbocharge-ubers-deployments/ • @lcalcote: https://twitter.com/lcalcote/status/767744030436315136 • Uber story: https://thenewstack.io/docker-helped-turbocharge-ubers-deployments/ • Unikernels Paper: http://unikernel.org/files/2014-cacm-unikernels.pdf
  • 64. Unikernels Unikernels are specialised, single- address-space machine images constructed by using library operating systems.
  • 66. Unikernel benefits • Tiny footprint compared to regular application. • Reduced Attack Surface == Improved Security. • Optimized. • Fast boot. • http://unikernel.org/files/2014-cacm-unikernels.pdf
  • 67. Things we are doing at Oracle
  • 68. Things we are doing at Oracle • Dockerfiles: https://github.com/oracle/docker- images • Weblogic: https://github.com/oracle/docker- images/tree/master/OracleWebLogic/ dockerfiles/12.2.1.1 • DB: https://github.com/oracle/docker-images/ tree/master/OracleDatabase/dockerfiles • Also for Dockerfiles for: Java, OpenJDK, Coherance, MySQL etc
  • 69. Things we are doing at Oracle • Container Registry • Contains pre built Oracle images • https://container- registry.oracle.com/ • Docker 101 tutorial: https:// github.com/mikeraab/docker001
  • 70. Things we are doing at Oracle • Container Products for Oracle Public Cloud: • Oracle Application Container Cloud • Great for Java/Node/PHP applications • Oracle Container Service • Bring your own containers • Container Management solution
  • 71. Things we are doing at Oracle • OCCS Stacks: • ElasticSearch, Kibana, Logstash (ELK): https://github.com/ oracle/docker-images/tree/master/ContainerCloud/stacks/ elk • Kafka microservices on OCCS: https:// community.oracle.com/community/cloud_computing/oracle- cloud-developer-solutions/blog/2017/03/20/running-docker- based-kafka-streams-microservices-on-oracle-container- cloud • https://community.oracle.com/community/cloud_computing/ infrastructure-as-a-service-iaas/oracle-container-cloud-service
  • 72. Things we are doing at Oracle • Free $300 credits to try out all the different services: • https://cloud.oracle.com/en_US/tryit