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The 6 Rules for Modernizing Your Legacy
Java Monolith with Microservices
by Kevin Webber (@kvnwbbr)
ALegacyMonolith Story
heritage
architecture
» Single points of failure
» Impossible to scale out
(shared mutable state, etc)
» Different non-functional
requirements (reads,
writes, compute)
» Optimized for none!
» Long, risky release cycles
Howdo Microservices
help?
Microservices
» Ubiquitous language
» Well defined models &
boundaries
» Single responsibility
» Independently deployable,
scalable, resilient
» Communicate via async
messaging
» Own their data
» Don't expose a public API
Approach?
Principles
» responsive, resilient,
elastic, message-driven
Approach?
Principles
» responsive, resilient,
elastic, message-driven
Concepts
» bounded contexts (DDD),
event sourcing, CQRS, CAP
(eventual consistency)
Approach?
Principles
» responsive, resilient,
elastic, message-driven
Concepts
» bounded contexts (DDD),
event sourcing, CQRS, CAP
(eventual consistency)
Tools
» Typesafe Reactive Platform
(Play, Akka, Spark)
Conceptsand patterns
We will cover:
» Domain Driven Design (DDD)
» Async messaging
» API management
» Dependency management
» CQRS & event sourcing
» Transactions & ordering
Domain Driven Design
Getting started
» Model sub-domain at package
level
» Tip: Visualize existing
architecture with a tool
like Structure101
» Define public RESTful API
at package level (use async
messaging inside package at
service level)
» Refactor for physical
separation, remove package
Goingasync
Async Benefits
» Not wasting resources
» Memory, CPU, threads
» Embracing failure
» Not expecting a return
from a remote service
» Designing for all
scenarios
API management
API mgmt.
» Messaging patterns
» Pub/sub, point-to-point,
streaming
» API gateway
» Routing, aggregation,
protocol translation
» Discovery
» Service discovery,
registry, versioning
Dependencymanagement
CQRS & eventsourcing
Transactionsand
ordering
Considerations
» ACID doesn't work across location/trust boundaries
» No 2-Phase commits (2PC)
» No holding locks for the duration of work
» In distributed systems we need to compensate for
for failure rather than prevent failure
Whatnext?
Microservices
with Lightbend
» Play for API gateway
» Akka for core microservices
(DDD, CQRS, event sourcing)
» ConductR for cluster
management (service
registry, discovery,
architecture visualization,
security)
Lagom
Monolithto microservices
» Webinar: March 17, 1PM PST / 4PM EST
» https://www.lightbend.com/discover-lagom
» Ready-to-use connectors: event-sourcing, CQRS
» Launch all microservices with a single command
» Instantly visible code updates
Thankyou!
Visit https://www.lightbend.com/products/lightbend-
reactive-platform to get started
Contactinfo
» Twitter: @kvnwbbr
» Email: kevin.webber@lightbend.com
LIGHTBEND REACTIVE PLATFORM

Full Lifecycle Support for Play, Akka, Scala and Spark
Give your project a boost with Reactive Platform:
• System orchestration for resilient releases
• Real-time monitoring of asynchronous systems
• Self-healing for network partitions, node and apps
• Availability protected with configurable user quotas
• Certified, load-tested Reactive Runtime
Enjoy learning? See about the availability of
on-site training for Scala, Akka, Play and Spark!
GET STARTED
The 6 Rules for Modernizing Your Legacy Java Monolith with Microservices

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