Microservices Patterns and Anti-Patterns

Mikrodienste: Patrone and Anti-Patrone
Argitektuele Patrone and Anti-patrone om in ag te
neem met die onwerp van Mikrodienste en die
gebruik van Spring Boot en Spring Cloud.
Corneil du Plessis

Microservices: Patterns and Anti-Patterns
Architectural Patterns and Anti-patterns to
consider with Microservices,
and using Spring Boot and Spring Cloud to build
Microservices
Corneil du Plessis

Introduction
● Programmer since 1985
● Smallest to very large systems.
● Cobol, Pascal, Algol, C/C++, Java, Scala, Groovy and
other JVM languages.
● Scientific instrumentation, Sports event management,
Mining, Banking, Treasury and Insurance.
● Software Architect (coding included)

Definitions
● Patterns
● Anti-Patterns
● Cloud computing
● Cloud Native
● Microservice

Patterns & Anti-Patterns
● No pets allowed.
● Nano-services.
● Look mom no hands.

Microservices
● Is it SOA?
● Size?
● Why change?
● Microservice is to SOA what Agile is to Waterfall.

Why software systems?
● In support of a 'business' outcome.
● Reduce cost of feedback
● Provide information to improve decision making

Why traditional containers?
● Application Server
● Portal Server
● Enterprise Service Bus

Why not containers?
● Upgrades
● Deployments
● Scalability
● Lifecycle

Cloud Landscape
Microservice
Configuration
Routing
Security
Service
Registry
Messaging
Binary
Repository
Source
Repository
Load
Balancing
Build
Process
Audit and
Logging
Management

Pattern: Immutable service
● Created by build process.
● Managed in Binary repository
● Deployed / Launched as a unit
● Simple externalised configuration

Pattern: Service registration and discovery
● I am here!
● Where are you?
● Who's the boss?

Pattern: Service configuration
● Point the service at configuration
● Broadcast to find config server
● Usually key/value store

Networking
● Software defined networking
● Routing
● Load balancing

Management
● Logging
● Health check
● Scripting

Pattern: Cluster state
● Cluster
● Members
● Master election
● Global Locks

Service calls
● Synchronous
– JSON or XML over Rest / HTTP
– SOAP over HTTP
● Asynchronous
– SOAP over Message Queue
– XML or JSON over Message Queue

Distributed messaging
● Asynchronous or Synchronous
● Persistent
● Latency
● Queue or Topics

Authentication
● Token based
● Proxies
● OAuth and OAuth2

Size of Microservices
● Questions
– How big is a Microservice?
– What about data?
● Best practice
– Start with a single application
– Only split when it will benefit runtime or development.
– Don't split prematurely

Microservices with Spring
● What is Spring?
– The Spring Framework is aimed at improving developer
productivity by providing best-practice patterns for
implementing Dependency Injection, Transaction
Management, Data-Access Messaging, Aspect-
Oriented-Programming and more...
● Projects that support Microservices
– Spring Boot
– Spring Cloud

Spring Boot
● Opinionated auto configuration
● Simple configuration
● Single package
● A long list of starters

Spring Cloud
● Abstraction of many cloud native tools / services
● Distributed/versioned configuration
● Service registration and discovery
● Routing
● Service-to-service calls
● Load balancing
● Circuit Breakers
● Global locks
● Leadership election and cluster state
● Distributed messaging

Spring Cloud Projects
● Spring Cloud Config
– Centralised config server backed by git
● Spring Cloud Netflix
– Netflix OSS projects
– Eureka, Hystrix, Zuul, Archais
● Spring Cloud Bus
– State and Configuration changes over AMQP

● Spring Cloud for Cloud Foundry
– Cloud Foundry
– Service Discover
– Security
– Service Broker Foundation
● Spring Cloud Cluster
– Leadership election and common stateful patterns with
an abstraction and implementation for Zookeeper,
Redis, Hazelcast, Consul

● Spring Cloud Consul
– Service Discovery
– Configuration Management
● Spring Cloud Security
– OAuth2
– Common Patterns for SSO
– Token Relay and Token Exchange

● Spring Cloud Contract
– Consumer driven contracts
– Contract Verification
– Contract Definition Language (DSL)
– Stubs and Tests
● Spring Cloud Sleuth
– Distributed Tracing
– Zipkin, HTrace
– Log based like ELK

● Spring Cloud Data Flow
– Redesign of Spring XD
– Orchestrate across Cloud Foundry, Yarn, Mesos,
Kubernetes
– Stream and Batch
– Develop using DSL, Shell, REST APIs, Dashboard or
Flo
– Manage and scale without interruption

● Spring Cloud Stream
– Messaging with Kafka, Redis or Rabbit
– Binder Abstraction
– Persistent Publish and Subscribe
– Consumer Groups
– Durability

● Spring Cloud Stream Modules
– Spring Boot based Spring Integration applications
– Compose with Spring Data Flow
– Source – file, ftp, http, jdbc, jms, rabbit and more
– Sink – file, ftp, cassandra, redis, websocket, hdfs
– Processor – groovy-transform, groovy-filter, httpclient,
splitter, scriptable-transform
– Task – timestamp

● Spring Cloud Task
– Spring Boot Application as a Task in Spring Data Flow
– Spring Cloud Task Starters provide a base and samples
show how to start a Spark Application locally or in a
cluster.

● Spring Cloud Zookeeper
– Service Discovery and Configuration Management
– Service Discovery: instances can be registered with
Zookeeper and clients can discover the instances using
Spring-managed beans
– Supports Ribbon, the client side load-balancer via Spring
Cloud Netflix
– Supports Zuul, a dynamic router and filter via Spring Cloud
Netflix
– Distributed Configuration: using Zookeeper as a data store

● Spring Cloud for Amazon Web Services
– Spring Messaging API implementation for SQS.
– Spring Cache API implementation for ElastiCache.
– Annotation-based mapping of SNS endpoints (HTTP).
– Access the resources by their logical name defined in a
CloudFormation stack.
– Automatic JDBC DataSource creation based on the logical
name of an RDS instance.
– Ant-style path matching ResourceLoader for S3 buckets.

● Spring Cloud Connectors
– Spring XML and Java Configuration to bind to services and resources
– Extensible Connectors for various Cloud Platforms
– Cloud Foundry and Heroku in the box
– Community projects:
● Pivotal Cloud Fountry
● IBM Bluemix
● SAP HANA Cloud Platform
● Amazon S3
● Pivotal Gemfire
● Spring Cloud CLI
– Spring Boot CLI plugin for Spring Cloud projects
– Build quick projects with Groovy for Spring Cloud

Questions
● More information
– https://cloud.spring.io
● Contact
– @corneil
– corneil@jumpco.io

Microservices Patterns and Anti-Patterns

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