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Revitalizing
Walmart'sAging
Architecture for
Web Scale
Typesafe
Reactive
Platform
» Play - RESTful API
framework
» Akka - Distributed
computing framework
» Spark - General purpose in-
memory compute engine
» ConductR, Monitoring, and
commercial features
Whymicroservices?
2005architecture
2015architecture
2020architecture
Size ofthe internettoday
Theworld by2020
» 4 billion connected people
» 25+ million apps
» 25+ billion embedded systems
» 40 zettabytes (40 trillion gigabytes)
» 5,200 GB of data for every person on Earth
WalmartCanada
Business Impact
The goal
» ~100% availability ("nine nines")
The goal
» ~100% availability ("nine nines")
» Consistent responsiveness under varying load
conditions
The goal
» ~100% availability ("nine nines")
» Consistent responsiveness under varying load
conditions
» Predictable spikes of traffic, e.g, Black Friday
» Less predictable spikes of traffic, e.g,
marketing campaign driving traffic
The goal
» ~100% availability ("nine nines")
» Consistent responsiveness under varying load
conditions
» Predictable spikes of traffic, e.g, Black Friday
» Less predictable spikes of traffic, e.g,
marketing campaign driving traffic
» Enable LOBs to rapidly adapt to market conditions
ARevitalizedArchitecture
Walmart's Business Uplift
» Conversions up 20%
» Mobile orders up 98%
» No downtime Black Friday or Boxing Day
Walmart's OperationalSavings
» Moved off expensive hardware
» On cheap virtual x86 servers
» 20% - 50% cost savings
» ~ 40% compute cycles
Whereto begin?
asynchronous, non-blocking, real-time, highly-
available, loosely coupled, scalable, fault-tolerant,
concurrent, reactive, event-driven, push instead of
pull, distributed, low latency, high throughput...
asynchronous, non-blocking, real-time, highly-
available, loosely coupled, scalable, fault-tolerant,
concurrent, reactive, event-driven, push instead of
pull, distributed, low latency, high throughput...
Too complicated. We need a simple vocabulary.
Reactive
The ultimate maturity model
for microservices.
» Responsive
» Resilient
» Elastic
» Message-driven
Why,What, How
Reactive (principles)
» responsive, resilient,
elastic, message-driven
Why,What, How
Reactive (principles)
» responsive, resilient,
elastic, message-driven
Microservices (strategy)
» bounded contexts (DDD),
event sourcing, CQRS,
eventual consistency
Why,What, How
Reactive (principles)
» responsive, resilient,
elastic, message-driven
Microservices (strategy)
» bounded contexts (DDD),
event sourcing, CQRS,
eventual consistency
Tools (implementation)
» Typesafe Reactive Platform
(Play, Akka, Spark)
Heritage system
Future system
Clustered microservices
Ecosystem
plus:
» service registry
» service discovery
» architecture visualization
» security
Implementation?
Typesafe Reactive Platform
Message-driven
» distribution
» location transparency
» isolation
Resilient
» supervision
Resilient
» dedicated separate error
channel
Elastic
» scale up
» async
» non-blocking
» scale out
» immutable data
» share nothing
Responsive
» responsive to events, load,
failure, users
» embrace new concepts and
patterns
» cluster computing
» distribution of data
» new patterns like
circuit breakers
Whatwe offer
Commercialfeatures
» Akka Split Brain Resolver
» Akka 2.3 Cluster Support for Docker
» Play User Quotas
» Play SOAP
ProjectSuccess Subscription
» Certified build
» Compatibility verifications
» Security alerts
» Binary updates
» Long-term support
» Legal protection
Typesafe ConductR
ManageTypesafe Reactive Platformapplicationsacrossacluster
Typesafe Monitoring
Knowexactlywhatyour Reactive system is doing
Thankyou!
Visit https://www.typesafe.com/products/typesafe-
reactive-platform to get started
Contactinfo
» Twitter: @kvnwbbr
» Email: kevin.webber@typesafe.com

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Revitalizing Walmart's Aging Architecture for Web Scale