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2020년 6월 19일 금요일

Compiling and Executing Go Programs

* Now that you know how to create and edit files, you can generate new programs. The most commonly used languages in the CS Department at the moment are C++, C, and Java.

The most popular C++ and C compilers are g++ and gcc. 
The Structure of C++ and C Programs

* Although not really a Unix-specific topic, it's hard to discuss how to compile code under any operating system wityhout a basic understanding how programs are put together.

* The source code for a C++(or C) program is contained in a number of text files called source files. Very simple programs might be contained within a single source file, but as our programs grow larger and more complicated, programmers try to keep things manageable by splitting the code into multiple source files, no one of which should b terribly long.

* There are two dirrenrent kinds of source files: header files and not-header files. Header files are generally given names ending in ".h". Non-header files are generally given names ending in ".cpp" for C++ code and ".c" for C code.

* Header and non-header files are treated differently when we build programs. Each non-header file i compiled separately from the others (Figure 7.1, "Building 1 program from many files"). This helps keep the compilation times reasonable, particularly when we are fixing bugs in a program and may have changed only one or two non-header files. Only those changed files need to b recompiled.

* Header files are not compiled directly, Instead, header files are included into other source files via #include. In fact, when you invoke a C/C++ compiler, before the "real" compiler starts, it runs a pre-processor whose job is to handle the special instructions that begin with #. In the case of #include statements, the pre-processor simply grabs the relevant header file and sticks it content into the program right at the spot of the #include.


#include <iostream>
#incldue <string>

using namesapce std;
int main()
{
    string greeting = "Hello!";
    cout << greeting << endl;
    return 0;
}

* This can result in a dramatic increase in the amount of code that actually gets processed. The code shown here, for example, is pretty basic. But the #include statements bring in a entire library of I/O and string-related declarations from the C++ standard library. Here, for example, is the output of the pre-processor for one compiler. (If you look at the very end, you can recognize the main code for this program.)

* A header file can be #included from any number of other header and non-header files. That is, in fact, the whole point of having header files. Header files should contain declarations of things that need to be shared by multiple other source files. Non-header files should declare only things that do not need to be shared.

* As we go though all the compilation steps required to build a program, anything that appears in a non-header file will be processed exactly once by the compiler.
Anything that appears in a header file may be processed multiple times by the compiler.




















Go Programs

* A Go program can vary in length from 3 lines to millions of lines and it should be written into one or more text files with the extension ".go". For example, hello.Go.  You can use "vi" ", "vim" or any other text editor to write your Go program into a file.

Features Excluded Intentinally


* To keep the language simple and concise, the following features commonly available in other similar languages are omitted in Go:

1. Support for type inheritance
2. Support for method or operator overloading
3. Support for circular dependencies among packages
4. Support for pointer arithmetic
5. Support for assertions
6. Support for generic programming


Features of Go Programming

Binaries

* Go generates binaries for your applications with all the dependencies built-in. This removes the need for you to install runtimes that are necessary for running your application. This eases the task of deploying apoplications and providing necessary updates across thousands of ins tallations. With its support for multiple OS and processor architectures, this is a big win for the language.

Language Design

* The designers of the language made a conscious decision to keep the language simple and easy to understand. The entire specification is in a small number of pages and some interesting design decisions were made vis-a-vis Object-Oriented support in the language that keeps the features limited.

* Towards this, the language is opinionated and recommends an idiomatic way of achieving things. It prefers Composition over Inheritance and its Type System is elegant and allows for behavior to be added without tight coupling the components too much. In Go Language, "Do More with Less" is the mantra.

Powerful Standard Library

* Go comes with a powerful standard library, distributed as packages. This library caters to most components, libraries that developers have come to expect from 3rd party packages when it comes to other languages. A look at the Packages available in the standard library is good enough indication of the power available in them.


Package Management

* Go combines modern day developer workflow of working with Open Source projects and includes that in the way it manages external packages. Support is provided directly in the tooling to get external packages and publish your own packages in a set of easy commands.

Static Typing

* Go is a statically typed language and the compiler works hard to ensure that the code is not just able to compile correctly but other type conversions and compatibility are taken care of. This can avoid the problems that one faces in dynamically typed languages, where you discover the issues only when the code is executed.

Concurrency Support

* One area where the language shines is its first-class support for Concurrency in the language itself. If you have programming concurrency in other languages, you understand that it is quite complex to do so. Go Concurrency primitives via go routines and channels makes concurrent programming easy. Its ability to take advantage of multi-core processor architectures and efficient memory is one of the reasons while Go code is today running some of the most heavily used applications that are able to scale.

Testing Support

* Go Language brings Unit Testing right into the language itself. It provides a simple mechanism to write your unit tests in parallel with your code. The tooling also provides support to understand code coverage by your tests, benchmarking tests and writing example code that is used in generating your code documentation.

* Go has seen sighnificant adoption from large projects and due to its tooling, ecosystem and language design, programmers are steadily moving towards it, especially while building out infrastructure pieces. We expect that its popularity will continue to rise. Getting started with Go is straightforward and the Go Programming Language Home page has everything from installing the tool-chain to learning about Go.


















2020년 5월 10일 일요일

What is Kubernetes?

In 2017, Docker adoption was up 40%
amongst Datadog's very large customer base
source: "8 Surprising facts About Real Docker Adoption." Datadog, April 2017

The median number of containers running on a single host is aboput 10.
Source: "The 2017 Dockedr Usage Report." Sysdig, April 17, 2017

How do you manage all these containers running on a single host, and across your whole infrastructure?

Orchestrator Features 
* Provision hosts
* Instantiate containers on a host
* Restart failing containers
* Expose containers as services outside the cluster
* Scale the cluster up or down

Kubernetes(K8s)
* Definition: an open-source platform designed to automate deploying, scaling, and operating application containers
* Goal: to foster an ecosystem of components and tools that relieve the burden of running applications in public and private clouds 

Borg was the predecessor to Kubernetes.

Kubernetes is a platform to schedule and run containers on clusters of virtual machines. It runs on bare metal, virtual machines, private datacenter and public cloud.

No golden handcuffs when migrating to the cloud

Kubernetes and Docker
Kubernetes is a container platform

You can use Docker containers to develop and build applicastions, and then use Kubernetes to run these applications on your infrastructure.

Features Kubernetes
"Kubernetes is an open source project that enables software teams of all sizes, from a small startup to a Fortune 100 comapny, to automate deploying, scaling, and managing applications on a group or cluster of server machines..."
"These applications can include everything from internalfacing web applications like a content management system to marquee web properties like Gamil to big data processing."
- Joe Beda

Multi-Host
Container Scheduling
* Done by the kube-scheduler
* Assigns pods to nodes at runtime
* Checks resources, quality of service, policies, and user specifications before scheduling


Scalability and Availability
* K8s master can be deployed in a highly available configuration
* Multi-region deployments available

Scalability (v 1.8)
* Supports 5,000 node clusters
* 150,000 total pods
* Pods can be horizontally scaled via API

Flexibility and Modularization
* Plug-and-play architecture
* Extend architecture when needed
* Add-ons: network dirvers, service3 discovery, container runtime, visualization, and command

Registration
Seamless nodes register themselves with master

Service Discovery
Automatic detection of services and endpoints via DNS or environment variables.

Persistent Storage
* Much requested and important feature when working with containers
* Podc can use persistent volumes to store data
* Data retained across pod restarts and crashes




















 

2020년 5월 9일 토요일

What Is Containerization?

1. History of Containers


Container:
A collection of software processes unified by one namespace, with access to an operating system kernel that ist shares with other containers and little to no access between containers.


Dociker Instance
A runtime instance of a Docker image contains three things:
1. A Docker image
2. An execution environment
3. A standard set of instructions



Virtual Machine (VM)
* One or many applications
* The necessary binaries and libraries
* The entire guest operating system to interact with the applications

Containers
* Include the application and all of its dependencies
* Share the kernel with other containers
* Not tied to infrastructure only needs Docker Engine installed on the host
* Run as isolated processes in user space on the host OS

Container Benefits for Developers
Applicaton are
1. Portable
2. Packaged in a standard way

Deployment is 
1. Easy
2. Repeatable

Container Benefits for Developers
* Automated testing, packaging, and integrations
* Support newer microservice architectures
* Alleviate platform compatibility issues

Container Benefits for DevOps
* Reliable deployments: improve speed and frequency of releases
* Consistent application lifecycle: configure once and run multiple times

Container Benefits for DevOps

Consistent environments
* No more process differences between dev and production environments

Simple scaling
* Fast deployments ease the addition of workers and poermit workeload to grow and shrink for on-demand use cases


The DevOps team can isolate and debug issues at the container level.

Use of Containerized Apps on the Rise

Among 195 organizations surveyed in January 2017, organizations expect that their number of containerized applications will rise by 80% in the next tow years.

Containers: Real Adoption And Use Cases In 2017 (March 2017), Forrester Consulting Thought Leadership Paper Commissioned by Dell EMC, Intel, and RedHat

Containers and Microservices

Allow the Building of Pipelines

* Containers bring agility toi your code
* Help build a continuous integration and deployment pipeline
* Push an IT team to develop, test, and deploy applications faster










 




















2020년 5월 5일 화요일

Spring Cloud

Addressing the issues found in cloud-native applications

Module Outline

1. Spring / Spring IO / Spring Cloud
2. Spring Cloud Netflix
3. Common Concepts

Spring Cloud Origins

1. First, there was the Spring Framework (2004)
  - Alternative to low-level JEE approaches

2. Next, Spring sub-projects emerged (2006 - present)
  - Spring Security, Web Flow, Integration, Batch, Web Services, XD, Social, Data, Boot, Session, etc.
  - Organized under Spring IO umbrella:
 

Spring Could Subproject
1. "Sub-Umbrella" Project within Spring IO Platform


Goal of Spring Cloud

1. Provide libraries to apply common patterns needed in distributed applications
  - Distributed / Versioned / Centralized Configuration Management
  - Service Registration and Discovery
  - Load Balancing
  - Service-to-service Calls
  - Circuit Breakers
  - Routing
  - ....

Where Does NETFLIX Fit Into All of This?

1. Netfliz reinvented itself since early 2007
   - Moved from DVD mailing to video-on-demand
      * Once USPS largest first-class customer
      * Now biggest source of North American Internet traffic in evenings.

2. Became Trailbazers in Cloud Computing
   - All Running on Amazon Web Services

3. Chose to publish many general-=user technologies as Open-Source projects
   - Proprietary video-streaming technologies are still secret.

Spring and NETFLIX
1. The Spring Team has always been forward looking
  - Trying to Focus on Applications of Tomorrow

2. Netflix OSS Mature and Battle-Tested; Why Reinvent?

3. Netflix OSS Not Necessarily Easy and Convernient
  - Spring Cloud provides easy interaction
     * Dependencies
     * Annotations


Spring Cloud Setup
1. Spring Cloud Projects are all based on Spring Boot
  - Difficult to employ using only core Spring Framework
  - Dependency management based on Boot
  - ApplicationContext startup process modified


Server vs. Client

1. "Client" and "Server" are relative terms
  - Based on the role in a relationship
  - A Microservice is ofter a client and a server

2. Don't get lost on the terminology!


Required Dependenies

1. Replace Spring Boot Parent
  - Spring Cloud proejct are based on Spring Boot


org.springframework.cloud
spring-cloud-starter-parent
Angel.SR4



org.springframework.cloud
spring-cloud-start-...



2. ... OR Use Dependency Management Section




org.springframework.cloud
spring-boot-starter-parent
Angel.SR4
pom
import





org.springframework.cloud
spring-boot-starter-...


Summary
1. Spring Cloud is a sub-project within Spring IO Umbrella
  - And is itself an umbrella project.

2. Spring Cloud addresses common patterns in distributed computing
3. Spring Cloud enables easy use of Netflix libraries
4. Spring Cloud i based on Spring Boot


Spring Cloud Config

Centralized, versioned configuration management for distributed applications


Objectives

1. At the end of this module, you will be able to
  - Explain what Spring Cloud Config is
  - Build and Run and spring Cloud Config Server
  - Establish a Repository
  - Build, Run, and Configure a Client

Module Outline

1. Configuration Management
   - Challenges
   - Desired Solution

2. Spring Cloud Config
   - Server Side
   - Client Side

3. Repository Organization

What is Application Configuration?

1. Application are more than just code
  - Connections to resources, other applications

2. Usually use external configuration to adjust software behavior
  - Where resources are located
  - How to connect to the DB
  - Etc.

Configuration Options

1. Package configuration files with application
  - Requires rebuild, restart

2. Configuration files in common file system
  - Unavailable in cloud

3. Use environment variables
  - Done differently on different platforms
  - Large # of individual variables to manage / duplicate

4. Use a cloud-vendor specific solution
  - Coupling application to specific environment

Other Challenges

1. Microservices -> large # of dependent services    <--- brittle="" manual="" p="" work="">
2. Dynamic updates
  - Changes to services of environment variables require restage of restart  <-- activities="" deployment="" p="">
3. Version control   <-- p="" traceablity="">

Desired Solution for Configuration

1. Platform / Cloud-Independent solution
  - Language-independent too

2. Centralized
  - Or a few discrete sources of our choosing

3. Dynamic
  - Ability to update settings while an application is running

4. Controllable
  - Same SCM choices we use with software

5. Passive
  - Services (Applications) should do most of the work themselves by self-registering

Solution:
1. Spring Cloud Config
  - Provides centralized, externalized, secured, easy-to-reach source of application configuration

2. Spring Cloud Bus
  - Provides simple way to notify clients to config changes

3. Spring Cloud Netflix Eureka
  - Service Discovery - Allows applications to register themselves as clients

Spring Cloud Config
1. Designates a centralized server to server-up configuration information
  - Configuration itself can be backed by source control

2. Clients connect over HTTP and retrieve their configuration settings
  - In addition to their own, internal sources of configuration






Spring Cloud config Server

1. Source available at GitHub:
https://github.com/spring-cloud-samples/configserver

2. Or, it is reasonably easy to build your own

Spring Cloud Config Server _Building, part 1

1. Include minimal dependencies in your POM(or Gradle)
  - Spring Cloud Starter Parent
  - Spring Cloud Config Server


org.springframework.cloud
spring-cloud-starter-parent
Angel.SR4




org.springframework.cloud
spring-cloud-config-server




Spring Cloud Config Server  _ Building, part 2

1. application.yml - indicates location of configuration repository

---
spring:
   cloud:
      config:
         server:
            git:
              uri: https://github.com/kennyk65/              searchPaths:ConfigData


   - ...or application.properties

Spring Cloud Config Server _ Building, part 3

1. Add @EnableConfigServer

   @SpringBootApplication
   @EnableConfigServer
   public class Applicaton{
   
         public static void main(String[] args){
               SpringApplication.run(Application.class, args);
         }
    }


2. That's it!

The Client Side - Building part 1

1. Use the Spring Cloud Starter parent as a Parent POM:


   org.springframework.cloouod
   spring-cloudstarter-parent
   Angel.SR4


2....OR use a Dependency management section:

 
     
         
           org.springframework.cloouod
           spring-cloud-starter-parent
           Angel.SR4
           pom
           import
       
   
 


The Client Side - Building Part 2

1. Include the Spring Cloud Starter for config:


           org.springframework.cloouod
           spring-cloud-starter-config


2. Configure application anme and server location in bootstrap.properties / yml

   - so it is examined early in the startup process
   # bootstrap.properties:
      spring.application.name: lucky-word
      spring.cloud.config.uri:  http://localhost:8001

3. That's it!
  - Client connects at startup for additional configuration settings.

EnvironmentRepository - Choices

1. Spring Cloud Config Server uses an
  EnvironmentRepository
    - Two implementations available: Git and Native (local files)

2. Implement EnvironmentRepository to use other sources.

Environment Repository - Organization

1. Configuration file naming converntion:
  - -.yml
     * Or .properties (yml takes precedence)

  - spring.application.name = - set by client application's bootstrap.yml(or .properties)
  - Profile - Client's spring.profiles.active
    * (set various ways)

2. Obtain settings from server:
   - http://://
   - String client do this automatically on startup

The Client Side
1. Spring Boot Applications: Include:
   - Spring cloud client dependency
   
       
org.springframework.cloud
        spring-cloud-starter
     

   - Configure application name and server location in bootstrap .properties /yml
      * So it is examined early in the startup process
       # bootstrap.properties:
       spring.application.name:lucky-world
       spring.cloud.config.uri: http://localhost:8888

2. That's It!
   - Client connects at startup for additional configuration settings.

Environment Repository - Organization Example

1. Assume client application named "lucky-world" and profile set to "northamerica"
  - Spring client (automatically) requests
    * /luck-word/northamerica

 lucky-word-default.yml                     <-- ignored="" is="" p="" profile="" set=""> lucky-word.yml                               <-- included="" p="" prededent="" second=""> lucky-word-northamerica.yml             <-- first="" included="" p="" precedent=""> lucky-word-europe.yml                     <-- diffrent="" ignored="" p="" profile="" set=""> lucky-word.properties                      <-- included="" p="" precedent="" third=""> another-app.yml                             <-- app="" diffrent="" ignored="" p="">
.yml vs .properties

1. Settings can be stored in either YAML or standard Java properties files

   - Both have advantages
   - Config server will favor .yml over .properties

# .properties file
spring.config.name=aaa
spring.config.location=bbb
spring.profiles.active=ccc
spring.profiles.include=ddd


# .yml file
-----
spring:
  config:
     name: aaa
     location:  bbb
  profiles:
    active: ccc
    include: ddd

Profiles
 
  1. YAML Format can hold multiple profiles in a single file
   
      # lucky-word-east.proerties
      luck-word: Clover

      # lucky-word-west.properties
      luck-word: Rabbit's Foot

     # luckyword.yml
     ---
     spring:
        profiles: east
     lucky-word: Clover
   
    ---
     spring:
       profiles:west
    lucky-word: Rabbit's Foot


The Client Side

1. How Properties work in Spring Applications
   - Spring apps have an Environment object
   - Environment object contains multiple PropertiySources
      * Typically populated from environment variables, system properties, JNDI, developer-specified property files, etc.
   - Spring Cloud Config Client library simply adds another PropertySource
      * By connecting to server over HTTP
      * http://://

   - Result: Properties descried by server become part of client application's environment

What about non-Java / non-Spring Clients?

1. Spring Cloud Server exposes properties over simple HTTP interpace
    - http://://

2. Reasonably easy to call server from any application
    - Just not as automated as Spring

What if the Config Server is Down?

1. Spring Cloude Config Server should typically run on serveral instances
   - So downitme should be a non-issue

2. Clinet application can control policy of how to handle missing config server
   - spring.cloud.config.failFast=true
   - Deafult is false

3. Config Server settings override local settings
   - Strategy: provide local fallback settings.

Spring Cloud Ribbon
1. Understanding and Using Ribbon, The clinet side load balancer

Objectives
1. At the end of this module, you will be able to
- Understand the purpose of Client-Side Load Balancing
- Use Spring Cloud Ribbon to implement Client-Side Load Balancing

What is a Load Balancer?

1. Traditional load balancers are server-side components
  - Distribute incoming traffic among serveral servers
  - Software (Apache, Nginx, HA Proxy) or Hardware(F5, NSX, BigIP)




Clinet-Side Load Balancer

1. Clinet-Side Load Balancer selects which server to call
   - Based on some criteria
   - Part of client software
   - Server can still employ its own load balancer




Why?

1. Not all servers are the same
  - Some may be unavaliable(faults)
  - Some may be slower than other (performance)
  - Some may be further away than others (regions)




Module Outline
1. Clinet Side Load Balancing
2. Spring Coud Netflix Ribbon

Spring Cloud Netflix Ribbon
1. Ribbon - Another part of the Netflix OSS family
  - Clinet side load balancer
  - Automatically integrates with service discovery (Eureka)
  - Built in failure resiliency (Hystrix)
  - Caching / Batching
  - Multiple protocols (HTTP, TCP, UDP)
2. Spring Cloud provides an easy API Wrapper for using Ribbon.

Key Ribbon Concepts

1. List of Servers
2. Filtered List of Servers
3. Load Balancer
4. Ping

List of Servers
1. Determines what the list of possible servers are (for a given service (client))
   - Static - Populated via configuration
   - Dynamic - Populated via Service Discovery ( Eureka )

2. Spring Cloud default - Use Eureka when present on the classpath.


Filtered List of Servers

1. Criteria by which you wish to limit the total list
2. spring Cloud default - Filter servers in the same zone

ping

1. Used to test if the server is up or down
2. Spring Cloud default - delegate to Eureka to determine if server is up or down

Load Balancer

1. The Load Balancer is the actual component that routes the calls to the servers in the filtered list

2. Serveral strategies available, but they usually defer to a Rule component to make the actual decisions

3. Spring Cloud's Default: ZoneAwareLoadBalancer


Rule

1. The Rule is the single module of intelligence that makes the decision on whether to call or not.
2. Spring Cloud's Default: ZoneAvoidanceRule

Using Ribbon with Spring Cloud - part 1

1. Use the Spring Cloud Starter parent as a Parent POM:

  org.springframework.cloud
  spring-cloud-starter-parent
  Angel.SR4



2. ... OR use a Dependency management section:


   
     
         org.springframework.cloud
         spring-cloud-starer-parent
         Angel.SR4
         pom
         import
     
 


...exactly the same options as a spring cloud config client or a spring cloud eureka client.

Using Ribbon with Spring Cloud - part 2

1. Include dependency:
   
     
          org.springframework.cloud
          spring-cloud-starter-ribbon
     
 

Using Ribbon with Spring Cloud - part 3

1. Low-level technique:
  - Access LoadBalancer, use directly:

   public class MyClass{
       @Autowired LoadBalancerClient loadBalancer;

       public void doStuff(){
            ServiceInstance instance = loadBalancer.choose("subject");
            URI subjectUri = URI.create(String.format("http://$s:%s", instance.getHost(), instance.getPort());
            // ... do something with the URI
      }
}

API Reference
1. Previous example used Ribbon API directly
2. Not desirable - couples code to Ribbon
3. Upcoming examples will show declarative approach
  - Feign, Hystrix.

Customizing
1. Previously we escribed the deaults. What if you wnat to change them?
2. Declare a separate config with replacement bean.

@Configuration
@RibbonClient(name="subject", configuration=SubjecConfig.class)
public class MainConfig{
}


@Configuration
public class SubjectConfig{
   @Bean
   public IPing ribbonPing(IClientConfig config){
       return new PingUri();
  }
}

What Customizing Choices are available
1. Quite a Few!
- Recommend looking at the JavaDoc or GitHub Code


Summary
1. Client-Siode Load Balancing augments regular load
balancing by allowing the client to select a server based on some criteria.

2. Spring Cloud Riboon is an easy-to-use implementation of client side load balancing.

Spring Cloud Feign

Declarative REST Client

Objectives
1. At the end of this module, you will be able to
  - Call REST services using the Feign libraries
  - Understand how Feign, Ribbon, and Eureka collaborate

Module Outline
1. What is Feign
2. How to use Feign

Feign
1. What is it?
  - Declarative REST client, from NetFlix
  - Allows you to write calls to REST services with no implementation code
  - Alternative to Rest Template (even easier!)
  - Spring Cloud provides easy wrapper for using Feign

Spring REST Template
1. Spring's Rest Template provides very easy way to call REST services

RestTemplate template = new RestTemplate();
String url = "http://inventoryService/{0}";
Sku sku = template.getForObject(uri, Sku.class, 4724352);

2. Still, this code must be
  1) Written
  2) Unit-tested with mocks / stubs.

Feign Alternative - Declarative Web Service Clients
1. How does it work?
  - Define interfaces for your REST client code
  - Annotate interface with Feign annotation
  - Annotate methods with Spring MVC annotations
    * Other implementations like JAX/RS pluggable

2. Spring Cloud will impleent it at run-time
  - Scans for interfaces
  - Automatically implements code to call REST service and process response


Feign Interface
1. Create an Interface, not a Class:



Note: No extra dependencies are needed for Feign when using Spring Cloud.

Runtime Implementations

1. Spring scans for @FeignClients
   - Provides implementations at runtime



2. That's it!
   - Implementations provided by Spring / Feign!

What does @EnableFeignClients do?

You can @Autowire an InventoryClient wherever one is needed


Ribbon and Eureka  _ Where do they fit in?

1. The previous example - hard-codeedURL
    @FeignClient(url="localhost:8080/warehouse")

2. ...use a Eureka "Client ID" instead:
     @FeignCliuent("warehouse")

3. Ribbon is automatically enabled
    - Eureka gives our application all "Clients" that match the given Client ID
    - Ribbon automatically applies load balancing
    - Feign hanldes the code.

Runtime Dependency

1. Feign starter required at runtime:
    ...but not compile time
     
         
             org.springframework.cloud
             spring-cloud-starter-feign
       
   

Summary
1. Feign provides a very easy way to call RESTful services
2. Feign integrates with Ribbon and Eureka automatically.


Spring Cloud Hystrix

Understanding and Applying Client Side Circuit Breakers

Objectives
1. At the end of this module, you will be able to
   - Understand how software circuit breakers protect against cascade failure
   - Use Spring Cloud Netflix Hystrix annotations within your software to implement circuit breakers
   - Establish simple monitoring of Circuit Breakers using Hystrix Dashboard and Turbine

Module Outline
1. Cascading Failures and the Circuit Breaker Solution
2. Using Spring Cloud Netflix Hystrix
3. Monitoring with the Hystrix Dashboard and Turbine


The Problem: Cascading Failure
1. Having a large number of services as dependencies can lead to a 'cascading failures'
2.Without mitigating this, microservices are a recipe for certain disaster!



Distributed Systems - More Failure Opportunities

1. Distributed systems -> more opportunity for failure.
   - Remember tghe Fallacies of Distributed Computing.

2. The Math: Assume 99.95% Uptime (Amazon EC2 SLA)
  - Single app - 22 minutes down per montjhe
  - 30 interrelated services - 11 hours downtime per month ( bad )
  - 100 interrelated services - 36 hours downtime per month ( ouich! )

The Circuit Breaker Pattern

1. Consider a household circuit breaker
  - It "watches" a circuit
  - When failure occurs ( too much current flow ), it "opens" the circuit (disconnects the circuit )
  - Once problem is resolved, you can manually "close: the breaker by flipping the switch.
  - Prevents cascade failure
   * i.e. - your house burning down.

Hystrix - The Software Circuit Breaker

1. Hystrix - Part of Netflix OSS
2. Light, easy-to-use wrapper provided by Spring Cloud.
3. Detects failure conditions and "opens" to disallows further calls
   - Hystrix Default - 20 failures in 5 seconds
4. Identify "fallback" - what to do in case of a service dependency failure
  - Think: catch block, but more sophisticated
  - Fallbacks can be chained
5. Automatically "closes" itself after interval
  - Hystrix Default - 5 seconds.


Comparison with Physical Circuit Breaker




Hystrix  ( Spring Cloud ) Setup

1. Add the Dependency:
 
    org.springframework.cloud
     spring-cloud-starter-hystrix
 

2. Enable Hystrix within a configuration class:
@SpringBootApplication
@EnableHystrix
public class Application {
}