Introduction to Microservices

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This document provides an introduction to microservices and Docker containers. It defines microservices as loosely coupled elements that have bounded contexts, and notes they evolve service-oriented architecture and apply the Unix philosophy to application systems. Docker is described as a library and ecosystem for creating and sharing containers built from Linux features to package applications and dependencies into single binaries. Reasons for using Docker/containers with microservices include self-contained images that allow running thousands of containers across hardware topologies. Challenges with microservices architectures at scale are also discussed.

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Introduction to Microservices
Jeff Hoffer, Developer Experience
github.com/eudaimos

What are Microservices?
“Service-oriented Architecture
composed of loosely coupled
elements that have bounded
contexts” - Adrian Cockcroft (VP
Cloud Architecture, AWS)

What are Microservices?
• Evolution of Service-Oriented Architecture
• Unix/Linux Philosophy for Application
Systems
• Microservice = do one thing well
• Derive business value from combining
microservices together

What is a Docker?
• library and ecosystem for creating and sharing Containers
• built from features in Linux
• combine all the software resources needed to run a single
application into a single binary and ship it to servers
• a simple shell-like configuration file
• uses a “layered” file system that “snapshots” changes for
reusability
• boundaries between containers

Before Docker
• Infrastructure automation scripting: Chef,
Puppet, Ansible, etc.
• Deployment scripting: rsync, capistrano
deployments, etc.
• Servers as Pets => Servers as Cattle

Why Docker/Containers for Microservices?
• Self-contained binary images
• Run 1000s of containers on various
topologies of hardware and VMs
• What does the Developer need to know vs
the Sys Admin?

What’s the catch?
• Running production systems of
microservices gets very complex
• Even more so when trying to take
advantage of what they provide
• Enter Kubernetes, Prometheus, …

Why Microservices?
• Break up the work
• Conway’s Law - software reflects communication patterns
• Choose the right tool for the job
• Easier to Manage
• Easier to Scale
• Lean Manufacturing/Kanban = Single-piece flow
• Less Change More Often - the alternative is large releases - what
happens when there’s a bug, everything must be tested again
• Continuous Delivery which requires Continuous Integration

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Introduction to Microservices

1. Welcome

2. Before we get started http://bit.ly/2yZmxD5

3. Introduction to Microservices Jeff Hoffer, Developer Experience github.com/eudaimos

4. What are Microservices? “Service-oriented Architecture composed of loosely coupled elements that have bounded contexts” - Adrian Cockcroft (VP Cloud Architecture, AWS)

5. What are Microservices? • Evolution of Service-Oriented Architecture • Unix/Linux Philosophy for Application Systems • Microservice = do one thing well • Derive business value from combining microservices together

6. What is a Docker? • library and ecosystem for creating and sharing Containers • built from features in Linux • combine all the software resources needed to run a single application into a single binary and ship it to servers • a simple shell-like configuration file • uses a “layered” file system that “snapshots” changes for reusability • boundaries between containers

7. Before Docker • Infrastructure automation scripting: Chef, Puppet, Ansible, etc. • Deployment scripting: rsync, capistrano deployments, etc. • Servers as Pets => Servers as Cattle

8. Why Docker/Containers for Microservices? • Self-contained binary images • Run 1000s of containers on various topologies of hardware and VMs • What does the Developer need to know vs the Sys Admin?

9. What’s the catch? • Running production systems of microservices gets very complex • Even more so when trying to take advantage of what they provide • Enter Kubernetes, Prometheus, …

10. Why Microservices? • Break up the work • Conway’s Law - software reflects communication patterns • Choose the right tool for the job • Easier to Manage • Easier to Scale • Lean Manufacturing/Kanban = Single-piece flow • Less Change More Often - the alternative is large releases - what happens when there’s a bug, everything must be tested again • Continuous Delivery which requires Continuous Integration

11. Thanks! Questions? We are hiring! DX in San Francisco Engineers in London & SF weave.works/weave-company/hiring

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