Building Scalable Messaging Systems with Qpid. Lessons Learned from PayPal

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Transcription:

Building Scalable Messaging Systems with Qpid Lessons Learned from PayPal

Background @ PayPal Handles 60% of all web transacbons One of the largest Oracle instances Mix of proprietary systems Mix of 1000 s of stateless processes TradiBonal JEE applicabons Payments are generally asynchronous Payments are generally messages

Basic Requirements Scaling Highly Scalable ParBBonable Cloud Friendly Failure ConBnuously Available No Avoid Single Point of Failure Nothing Shared Latency Near Real Time Hub

Why Desired an open messaging protocol Cross plasorm interoperability (C++, Java, Python) Required very low latency Eventual interoperability with AcBveMQ Ability to influence the community

Where We Started Simple Network of Brokers Load Balanced via L5 Switch Round Robin, Least/Min Rule Replicated Point to Point Consumer AQP Client Consumer AMQP Client F5 LB AMQP Provider AMQP Provider

What We Found Scale 20 billion 2K Messages Per Day VariaBon Message Size > Latency ConnecBons Short lived processes strain the broker @5000-6500 broker begins to flail RouBng Concerns DistribuBng connecbons Prohibited InVM messaging

Next EvoluBon Consumer Create DisBnct Layers of Brokers AMQP Provider Front Tier AMQP Provider Mid Tier AMQP Provider Core Tier Service ParBBon Each Layer By FuncBon or Actor User Type (Consumers, Merchants, API) Business FuncBon (Risk, Payments, Account Servicing) System FuncBon (Events, Services, Logging) Cloud Friendly Isolate ParBBons within the Broker Consumer AMQP Provider AMQP Provider AMQP Provider Service

Interfaces FederaBon SemanBcs Part of the Address Externalize Addressing Use pure AMQP or JMS wherever possible SASL JAAS Camel ApacheCXF Kerberos PayPal Other Spring PayPal JEE JMS JCA AMQP Provider AMQP

Network Local Local Local Gateway Gateway Remote Remote Infra Infra

FederaBon DisBnct Request & Response Exchanges Local & Remote Request DesBnaBons qpid-config -a localhost:5673 add exchange direct service_gateway.direct! qpid-config -a localhost:5674 add exchange direct service_impl.direct! qpid-config -a localhost:5673 add queue user.lifecycle.request! qpid-config -a localhost:5674 add queue user.lifecycle.request.impl! Requests use queue routes qpid-route queue add localhost:5674 localhost:5673 service_impl.direct user.lifecycle.request! Responses use dynamic routes qpid-route -v dynamic add localhost:5674 localhost:5673 service_res.direct durable! Responses use unique binding addresses for roubng

Gateway (5673) Example FEDERATION Remote (5674) Remote (5674)

Client/Publisher Message size is important Avoid default reply to implementabons Pull configurabon versus pre- packaging

Managing the Config Config Package Puppet Qpid Config ZooKeeper Qpid Qpid

Monitoring Qpid Management Framework Each Object In the Broker Publishes Event Events are Messages (Topic) that are Routable Describe Interest In Events Listeners that subscribe & dispatch SNMP Nagios Internal Logging

What Can Be Agent Binding Bridge Broker ConnecBon Exchange Link Queue SubscripBon System VHost Events New Objects Updates Failures (Links) ConfiguraBon ProperBes States StaBsBcs TXN Messages Latency

Example QUEUE MONITORING

Performance Raw QPID average roundtrip message Bmes in milliseconds over 100K messages. Configura7on 1 100 1024 2048 4096 8192 16384 32768 65356 130712 Single Node TCP over 1gbE 0.6 0.6 0.66 0.64 0.65 0.66 0.73 0.9 1.07 1.55 MulB Node TCP over 1gbE 0.9 0.9 0.98 1.08 1.13 1.25 1.49 2.14 3.35 5.72 MulB Node RDMA over IB 0.42 0.43 0.43 0.44 0.44 0.45 0.51 0.55 0.63 0.74 Use case comparison between MBSI architectures by Infrastructure. Times are average per message over 1K messages Use Case Binary (1024) XML (1024) Binary (16384) XML (16384) Binary (65536) XML (65536) Binary (131072) XML (131072) QPID/SSL (Sync) 2.66 3.33 6.11 7.17 11.73 16.07 19.71 27.86 QPID/SSL (Fire- and- forget/non- Ack'd) 0.51 0.56 0.54 0.74 0.8 1.44 2.05 2.59 QPID/SSL (Fire- and- forget/ack'd) 1.04 1.08 3.52 2.04 3.69 4.08 5.84 Throughput: Single Node 141K Messages Per Second @ 1K Message Size & Single Producer I/O Bound on the Producer 17

How We Can Use It PayPal Cloud Openstack integrabon via AMQP Dynamic Scaling via QMF events Possible ApplicaBons Mobile via JavaScript Proton Payment Devices

OpportuniBes AMQP Links between Qpid & AcBveMQ Heterogeneous messaging fabric Embedded Messaging Engines In car devices Point of Sale Phones Replace proprietary service frameworks with Proton Replace Qpid Libraries with Proton