WSO2Con 2015-us-introduction-to-mss-v2

Introduction to WSO2 Microservices Server

Afkham AzeezDirector, ArchitectureWSO2 Inc.

Microservices Architecture

A method of developing software applications as a

suite of independently deployable, small, modular

services in which each service runs a unique process

and communicates through a well-defined,

lightweight mechanism to serve a business goal.

• a service-oriented architecture composed of loosely coupled elements that have bounded contexts

• Loosely coupled – Can update independently– No coupling at database level

• Bounded context– Can update a microservices code without understanding

internals of peers

Microservices Architecture

Microservices

Source: http://martinfowler.com/articles/microservices.html

The Scale Cube

Source: http://microservices.io/articles/scalecube.html

Inner & Outer Architecture

Polyglot Persistence

Source: http://martinfowler.com/articles/microservices.html

Vision for Microservices Server (MSS) • Lightweight & fast runtime

• Use Java annotations as a way of defining microservices APIs as well as

metrics

• Support well known & widely used methods such as JAXRS annotations

• Provide simple ways to develop & deploy microservices

• Built-in Metrics & Analytics APIs with out of the box integration with WSO2

Data Analytics Server (DAS)

• To be used in the WSO2 platform as a way of replacing all admin services as

well as defining other microservices for inter-component interactions

Microservices Server Implementation• Based on the new Carbon 5.0 kernel

• Transport is based on Netty 4.0

• Supports streaming

• Close to 10x faster than CXF based JAXRS implementation used in

WSO2 AppServer

• 5MB pack size

• Starts within 300ms

• ~25MB memory consumption for the MSS framework

Download

• MSS 1.0.0-alpha release is available at https://github.com/wso2/product-mss/releases

• Refer to the getting started guide in GitHub• A good place to start is the samples

– https://github.com/wso2/product-mss/tree/v1.0.0-alpha/samples

Core Features in MSS• Quick & simple development model using simple annotations• Lightweight & high performance• Custom interceptors • JWT based security• Metrics gathering & publishing• Tracing of requests using a unique message ID• Streaming input & streaming output support• WSO2 DevStudio based tooling for generating microservices projects

starting from a Swagger API definition• Comprehensive samples demonstrating how to develop microservices

application

MSS – Flow & Thread Model

Runner

Request Streaming

• java -jar /opt/stockquote-1.0.0.jar

• Drop microservice jar file into MSS_HOME/repository/deployment/server/mss

• Very convenient to use Docker containers managed by Kubernetes

Microservices Runtime

Pets vs. Cattle• Traditional Approach– Treat servers like pets– Get emotionally attached to

them– Mourn their deaths

• New Approach– Treat servers like cattle– Get work done & dispose– Don’t mourn their deaths.

Buy new ones.

*

What is Kubernetes?๏ The Greek word “kubernetes,” means “helmsman of a

ship๏ Kubernetes is a platform for hosting Docker containers

in a clustered environment with multiple Docker hosts

๏ Provides container grouping, load balancing, auto-healing, manual scaling features ...etc

๏ Project was started by Google

๏ Contributors == Google, CodeOS, Redhat, Mesosphere, Microsoft, HP, IBM, VMWare, Pivotal, SaltStack, etc

*

Key Kubernetes Concepts

๏ Pod - A group of Containers๏ Labels - Labels for identifying pods๏ Proxy/Service - A load balancer for Pods๏ etcd - A metadata service๏ cAdvisor - Container Advisor provides resource

usage/performance statistics๏ Replication Controller - Manages replication of

pods๏ Scheduler - Schedules pods in worker nodes๏ API Server - Kubernetes API server

Kubernetes Architecture

Kubernetes – Replication Controller

Kubernetes - Service

Kubernetes UI

Security

• Security is done via a central server issuing JWT tokens

• The JWTSecurityInterceptor verifies the signature, expiry & claims in the tokens

Analytics & Monitoring

• Supports annotations– Timed – measures execution time

–Metered – measures rate of events

–Counted – Counts the total invocations

–HTTPMonitoring – monitors HTTP requests

Analytics & Monitoring

Analytics & Monitoring

JMX Metrics

Metrics Output to Console

Tooling (Swagger -> Code)Swagger API Definition

MSS Code

1

2

3

MSS - Performance ComparisonThroughput

MSS - Memory Consumption ComparisonMemory Consumption (MB)

Pet Store Sample

Pet

Transaction

Redis

Security

File server

Admin FE

Store FE DAS

Service calls

Data Publishing

Pet Store Sample – deployment view

Store FEStore

FE

Store FE

Admin FE

Kubernetes Minion 1 Kubernetes Minion 2

Security Security

File server File server

Redis Sentinel

Redis Sentinel

Redis Master

Redis Slave

PetPet

TransactionTransaction

Transaction

podspods

pods

pods

pods

pods

pods

pods

pods

pods

pods pods

pods

pods

pods

S A S T R P F

Kubernetes Services

Pet Store Sample

Pet Store Sample

Demo: MSS Pet store sample

Things to Note

• Expensive remote calls (instead of in-process calls)• Coarser-grained remote APIs• Increased complexity when redistributing responsibilities

between components• Centralized governance isn’t optimal• Decentralized data management – de-normalized data• Need to design for interruptions

Pricing

• For MSS product (full server) & MSS lite (executable jar), pricing is same as WSO2 AS based on the number of JVMs.

• For container based deployments, it will be the same as for any container based deployment of WSO2 products (to be announced)

Code• Netty based transporthttps://github.com/wso2/carbon-

transports

• MSS https://github.com/wso2/product-mss

Thank You