Business Track: Building a Personalized Mobile App Experience Using MongoDB at ADP
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Business Track: Building a Personalized Mobile App Experience Using MongoDB at ADP
- 1. Building a Personalized Mobile App Experience Using MongoDB at ADP Jigesh Saheba Chief Architect ADP Innovation Labs
- 2. Building a Personalized Mobile App Experience Using MongoDB at ADP Page 2 MongoNYC 2013 About Me • Chief Architect ADP Innovation Labs • Member of Enterprise Architecture team • Member of ADP CTO Council • 10 years with ADP • Over 20 years of industry experience
- 3. Building a Personalized Mobile App Experience Using MongoDB at ADP Page 3 MongoNYC 2013 About ADP • One of world's largest providers of business outsourcing solutions to employers and vehicle dealerships • FORTUNE 500 company • 60 years of industry experience • $10 billion in revenues • Approximately 600,000 clients • Worldwide presence • Pays 1-in-6 U.S. employees
- 4. Building a Personalized Mobile App Experience Using MongoDB at ADP Page 4 MongoNYC 2013 Agenda • Modern Consumer Demands • Modern Architecture • Modern Data Store • Evaluation • Why MongoDB? • The Product – ADP Mobile Solutions • MongoDB in Action • Benefits • Future
- 5. Building a Personalized Mobile App Experience Using MongoDB at ADP Page 5 MongoNYC 2013 Modern Consumer Demands • Fast • Responsive • Reactive • Contextual • Available • Happy
- 6. Building a Personalized Mobile App Experience Using MongoDB at ADP Page 6 MongoNYC 2013 Modern Architecture • High performance • Scalable (web-scale) • Reliable • Integration ready • Extendable • Maintainable • Cost effective
- 7. Building a Personalized Mobile App Experience Using MongoDB at ADP Page 7 MongoNYC 2013 Modern Data Store • Highly scalable and fast • High-availability with automatic failover and recovery • Able to handle a large volume of variable data with high velocity • Runs on commodity hardware and scales horizontally • Offers rich data manipulation functionality • Preferably open source with strong community support • Requires little ongoing administration • Easy to learn and use
- 8. Building a Personalized Mobile App Experience Using MongoDB at ADP Page 8 MongoNYC 2013 Evaluation • Apache Cassandra • Apache HBase • CouchDB • MemcacheDB • MongoDB MongoDB hit the sweet spot between highly scalable, fast in- memory key-value store with persistence and rich data manipulation functionality of relational database
- 9. Building a Personalized Mobile App Experience Using MongoDB at ADP Page 9 MongoNYC 2013 Why MongoDB? • Fast (works on memory mapped files) • Scalable (horizontally scalable on commodity hardware) • Durable (replica sets and asynchronous replication) • Easy to use (schemaless, no joins and no complex transactions) • Easy to operate (automatic data partitioning and management) • Easy to learn (JavaScript for shell and map/reduce) • Open Source
- 10. Building a Personalized Mobile App Experience Using MongoDB at ADP Page 10 MongoNYC 2013 ADP Mobile Solutions • Engage, connect and empower employees, managers and practitioners anytime, anywhere • “A Single App for All of That” Important HR, benefits, and payroll information at employee fingertips 24x7x365 • Clean, simple and intuitive interface • “Always On” High availability, reliability and performance 1 App 17 Countries 23 Languages 41K+ Clients 1M+ Active Users
- 11. Building a Personalized Mobile App Experience Using MongoDB at ADP Page 11 MongoNYC 2013 MongoDB in Action • Application data store and cache • Distributed data store across servers and data centers • Big data store for service and user behavior analytics
- 12. Building a Personalized Mobile App Experience Using MongoDB at ADP Page 12 MongoNYC 2013 Application Data Store and Cache • High performance • Horizontally scalable data store • Read scalability via replica sets • Write scalability via shards Application Server Farm Application Serve 1 Application Serve 2 Application Serve n MongoDB Server Farm MongoDB Serve 1 MongoDB Serve 2 MongoDB Serve n
- 13. Building a Personalized Mobile App Experience Using MongoDB at ADP Page 13 MongoNYC 2013 Distributed Data Store • MongoDB nodes across data centers • Asynchronous replication • Foundation for active-active data center strategy • High fault tolerance • Data durability • Ease of maintenance Application Server Farm Data Center 1 1 2 n MongoDB Server Farm Data Center 1 1 2 n Global Load Balancer Application Server Farm Data Center 2 1 2 n MongoDB Server Farm Data Center 2 1 2 nreplication
- 14. Building a Personalized Mobile App Experience Using MongoDB at ADP Page 14 MongoNYC 2013 User Behavior Analytics • Improve service delivery and user experience • Patterns and predictions • Predictive caching 1 2 3 4 5 6 Usage in concert with pay cycle week # of requests Views Pay & 401K Views Pay & 401K Start Dashboard Pay List Current Pay Previous Pay Other Usage pattern resulting in product enhancement Usage pattern for predictive caching
- 15. Building a Personalized Mobile App Experience Using MongoDB at ADP Page 15 MongoNYC 2013 Technical Benefits Fast data operations High throughput Simple infrastructure High durability High availability Easy maintenance Easy development Easy operations
- 16. Building a Personalized Mobile App Experience Using MongoDB at ADP Page 16 MongoNYC 2013 Business Benefits High service reliability Optimal user experience Smaller development teams Lower cost of ownership Faster development 10gen support
- 17. Building a Personalized Mobile App Experience Using MongoDB at ADP Page 17 MongoNYC 2013 Future • Big data platform • MongoDB as a service (PaaS) • Centralized administration • Leveraged by more applications • Use cases – cache, map/reduce, analytics, and search
Notes de l'éditeur
- Introduce yourselfTalk about ADP innovation lab
- Talk about ADP
- Present the agenda, set the expectation
- Modern consumer demand applications that are fast – get in, get what I came for and get outResponsive – work consistently across the devices I useReactive – react immediately to user input, continuous feedback, user in controlContextual – use device sensor data to tailor/personalize experience, location, time and etc.Available – reliable, available 100% of the time at my fingertip, when I want, where I wantHappy – user interface should be intuitive, engaging and inspire confidence
- We set to build technology architecture for the modern applicationHigh performance – sub-second response times, very low latency, efficient data storeScalable – to millions of users, supporting millions of page views per day resulting in thousands of operations per secondReliable – 100% uptime, redundancy everywhere, at software components, hardware servers, and even data centers Integration – architecture should enable ease of integration Extendable – evolve to changing business requirementsMaintainable – do not need a army of people to manage and maintainCost effective – from infrastructure and licensing costs, dramatic reduction in per user cost
- We set out to pick components that can meet our requirements – we needed a modern data store
- Fast – comes close to in-memory data store performanceScalable – offers both read and write scalabilityDurable – replica sets and automatic asynchronous replicationEasy to use – schemaless allows fast agile development
- Released Summer 2011
- I will talk about three key use casesStore for all mobile data (user data, preferences, user impressions…)Mobile/API gateway cache (organization, user, session…)Multi-datacenter deploymentFoundation for true active-active data center strategyService and user behavior analyticsTalk about always on – rolling hot updates, one datacenter at a time
- High performance – can sustain thousands of operations per secondHorizontally scalable – add node and gain capacity, automatic balancingRead scalability – application reads from nearby best available serverWrite scalability – writes are spread across servers via shards
- Speed it up and learn from user behavior to improve productBusiness metrics – number of users, usage by feature and functionsPatterns and predictions – biweekly pay, comparing current pay to previous pay (feedback to service improvement)Predictive caching – cache what you use most, anticipate usage and pre-fetch data
- Fast data operations – very low latency reads and writesHigh throughput – can sustain thousands of operations per second (capture every impression!)Simple infrastructure – runs on a “vanilla” VMHigh durability – multiple replica sets deployed across data centersHigh availability – can tolerate entire DC failure without service interruptionEasy maintenance – rolling updates and online maintenanceEasy development – no schemas and JavaScriptEasy operations – automatic partitioning and failure handling
- Service reliability (100% availability)User experience (faster response times)Lower cost of ownership (use of commodity hardware)Smaller development teams (no dedicated DBA and DevOps ready)Faster development (schemaless, supports speedy agile development)10gen support