wso2con 2015-us-introduction-to-mss-v2
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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
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