Cloud Native Architecture 300. Copyright 2014 Pivotal. All rights reserved.

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1 Cloud Native Architecture 300 Copyright 2014 Pivotal. All rights reserved.

2 Cloud Native Architecture Why What How

3 Cloud Native Architecture Why What How Cloud Computing New Demands Being Reactive

4 Cloud Native Architecture Why What How Cloud Computing New Demands Being Reactive Reactive Design 12 Factor Apps Microservices Design Patterns

5 Cloud Native Architecture Why What How Cloud Computing New Demands Being Reactive Reactive Design 12 Factor Apps Microservices Design Patterns Tools Platform Process and Culture

6 Cloud Native Architecture Why What How Cloud Computing New Demands Being Reactive

7 Cloud Defined Cloud Computing Cloud Native Applications Cloud Native Application Architecture

8 Cloud-Era Demands Competitive landscape Consumer expectations Device Diversity & Ubiquity Scale D

9 Being Reactive React to Events React to Load React to Failure React to Users Copyright Pivotal. All rights reserved.

10 Speed & Safety Design for quick recovery Quick recovery increases risk tolerance Risk tolerance enables innovation

11 Cloud Native Architecture Why What How Reactive Design 12 Factor Apps Microservices Design Patterns

12 Reactive Design React to Events Event-Driven React to Load Scalable React to Failure Resilient React to Users Responsive Copyright Pivotal. All rights reserved.

13 A Brownfield Architecture Maturity Model 4. CLOUD NATIVE 3. CLOUD RESILIENT 2. CLOUD FRIENDLY 1. CLOUD READY Microservice Architecture and Principals API First Design Design for failure Apps unaffected by dependent service failure Proactive testing for failure Metrics and Monitoring baked-in Cloud Agnostic runtime implementation Adherence with 12-Factor App principals* Horizontally scalable Leverage platform for HA No file-system requirements or uses S3 API Self contained app Platform managed ports and addressing Consume off platform services using platform semantics Spring Boot, Cloud and Data Flow; product teams and native Microservices (App + Data) = Agile Enterprise 12-Factors + Advanced Platform Automation = Runs Well on Pivotal Cloud Foundry 4 to 7 of the Factors = Runs on Pivotal Cloud Foundry * We believe there are more like 15 factors that exemplify a true, Cloud Native application more later

14 A Generalization About In Order of Importance and Colored for Level of Effort I. One Codebase, One App* II. Dependency Management* V. Build, Release, Run* III. Configuration* XI. Logs* IX. Disposability IV. Backing Services X. Environmental Parity* XII. Administrative Process VII. Port Binding* VI. Process VIII. Concurrency = Time to Market; find the seams; use good SDLC practices = Dev Productivity; standardize & remove surprises = Release Mgmt Hygiene; use CI/CD automation /w PCF = Release Mgmt Hygiene; move to environment vars = Real-Time Metrics; use PCF features; stdout / stderr = Auto-Scale; move slow processes to backing services = Resiliency / Agility; use circuit breaker; loose binding = Reliability; use well architected PCF, get parity = Reliability; move to backing service(s), expose as REST = Ops Efficiency; use PCF features like routing, scaling, etc. = Cloud Compatibility; move state to backing service(s) = Auto-Scale, ZDD; design for cloud, use PCF features

15 Microservices If services have to be updated together, they re not loosely coupled! Loosely coupled service oriented architecture with bounded contexts - Adrian Cockcroft If you have to know about surrounding services, you don t have a bounded context

16 Not Monoliths Copyright Pivotal. All rights reserved.

17 Not ESB-Centric SOA Copyright Pivotal. All rights reserved.

18 Microservice Pioneers Copyright Copyright Pivotal. Pivotal. All All rights rights reserved. reserved.

19 Who Moved My Complexity? Microservices are individually simple Complexity is transferred to the ecosystem

20 Challenges in a Distributed System Configuration management Registration and discovery Routing and load balancing Fault tolerance and isolation Aggregation and transformation Monitoring and distributed tracing Process management

21 Design Patterns & Automation to the Rescue! Config Server Service Registry Circuit Breaker Dashboard Tracing Dashboard Client UI (JavaScript) UI Server Proxy Edge Service Circuit Breaker Load Balancin g Backend Service Backend Service Backend Service

22 Structured Automation Groundwork for devops Self-service Rapid, automated provisioning Predictability and consistency not ad-hoc! Visibility (monitoring & metrics) Continuous delivery on Day 2, too!

23 Cloud Native Architecture Why What How Tools Platform Process and Culture

24 Spring I/O Spring Boot How you build an app Spring Cloud Pieces for Cloud Native Spring Core

25 Spring Boot Microframework Opinionated Convention over configuration Production ready Ops Friendly Self contained Health and metrics Externally configurable

26 Spring Cloud Distributed/versioned configuration Service registry and discovery Routing Service-to-service calls Load balancing Circuit Breakers More

27 Spring Cloud Netflix Components Ribbon Archaius Hystrix Feign Zuul Client Eureka Turbine Server

28 Pivotal Cloud Foundry Copyright Pivotal. All rights reserved.

29 The Journey: Technology Provide the right tools Platform, design pattern foundations, continuous delivery Start small Right-size for your needs For migrations, don t boil the ocean Target applications that: Have high business/competitive impact Need to scale or change frequently

30 The Journey: Culture & Organization Small, cross-functional teams Products, not projects Test-driven development Short iterations Transparency and visibility

31 Cloud Native Architecture Why What How Cloud Computing New Demands Being Reactive Reactive Design 12 Factor Apps Microservices Design Patterns Tools Platform Process and Culture

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