Nordstrom's Event-Sourced Architecture and Kafka-as-a-Service | Adam Weyant and Beau Bender, Nordstrom
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As a 120 year-old company, Nordstrom was facing numerous challenges as a result of an aging, service-oriented, architecture. Developers needing to implement reporting for analytics separately from core functionality resulted in questionable data quality for analytical purposes. Scaling dependent services in harmony to not overwhelm each other was a struggle faced by many, if not most, teams. Several years into a company-wide transition to an event-sourced architecture, Nordstrom has solved these and various other problems. By leveraging the capabilities of Apache Kafka and Confluent, combined with a deep organizational focus on well-defined business event schemas, a singular event can be used for analytical, functional, operational, and model building purposes. This session will describe this architecture and the lessons learned while building it, with a focus on the internally built, multi-tenant, multi-cluster, Kafka-as-a-Service platform that enables it.
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Nordstrom's Event-Sourced Architecture and Kafka-as-a-Service | Adam Weyant and Beau Bender, Nordstrom
- 1. NORDSTROM'S EVENT-SOURCED ARCHITECTURE AND KAFKA-AS-A-SERVICE BEAU BENDER – DIRECTOR OF ENGINEERING, DATA & MACHINE LEARNING ADAM WEYANT – SOFTWARE ENGINEERING MANAGER, DATA PROCESSING SEPTEMBER 15, 2021
- 2. PRESENTERS BEAU BENDER Beau strives to democratize ML & AI within Nordstrom by empowering employees to seamlessly deliver production quality solutions at scale. ADAM WEYANT Adam supports Nordstrom’s multi-tenant Kafka platform and related tools. Beau and Adam are honored to work at Nordstrom, a retailer that strives to be the center of fashion authority. As part of the Data and Analytical Services organization, they work on solutions that enable world-class customer service and personalization.
- 3. AGENDA ABOUT NORDSTROM NORDSTROM ANALYTICAL PLATFORM KAFKA-AS-A-SERVICE
- 4. ABOUT NORDSTROM Wallin & Nordstrom store opened 1998 Nordstrom.com Launches 1901 2019 Design of Nordstrom Analytical Platform Begins 2020 Real-time store analytics launches 2023 2017 First Generation Custom Analytical Platform Launches Majority of business decisions automated
- 5. NORDSTROM ANALYTICAL PLATFORM - OVERVIEW
- 6. NORDSTROM ANALYTICAL PLATFORM - CONSIDERATIONS Hackathonability Security and tokenization CCPA/GDPR compliance Data quality/discovery Acceptable staleness
- 7. NORDSTROM ANALYTICAL PLATFORM - ALIGNMENT Event-first design Processes Application design review Centralized schema advocate group SDKs Engineering standards Ownership of data quality ORDER SUBMITTED Number of Use-Cases Clickstream NAP Data Quality
- 8. NORDSTROM ANALYTICAL PLATFORM – BEFORE/AFTER Before NAP With NAP Burdens Considerations Workflow Data is an afterthought of design and siloed Analytics is a first-class consideration Data is collected with opaque process and transformations, and can only be accessed by data scientists once processed the next day Well defined business events are streamed live to any system that is interested Data quality is owned by producers, but all have a responsibility to drive improvements Ownership of quality is not well defined “If It’s not in NAP, it didn’t happen.”
- 9. NORDSTROM ANALYTICAL PLATFORM – WHAT’S NEXT? Majority of business decisions automated All business operations flow through NAP Staleness reporting Data quality Data discoverability Data lineage
- 10. A DISTRIBUTED STREAMING PLATFORM FOR NORDSTROM, BASED ON APACHE KAFKA. 190 TEAMS 5-6X READ:WRITE RATIO 150TB STORED 1.25Gbps PEAK READ 0.3Gbps PEAK WRITE 500K CONCURRENT CONNECTIONS
- 11. KAFKA-AS-A-SERVICE Reliable and resilient Self-service and automated Flexible and evolvable Clear expectations
- 12. Monitoring and visibility Troubleshooting client issues Support SLAs Quotas and access controls Clear expectations KAFKA-AS-A-SERVICE
- 13. Self-service and automated Eliminate ticketing Enable ClickOps Empower DevOps KAFKA-AS-A-SERVICE
- 14. Reliable and resilient Mature SLAs Monitoring and alerting Topic mirroring Data archiving KAFKA-AS-A-SERVICE
- 15. Flexible and evolvable Multi-tenant Special-case clusters Multi-region Multi-provider KAFKA-AS-A-SERVICE
- 16. PROTON API Powers UI and Terraform provider. PROTON UI Proton resource management and documentation. STREAMING AND SCHEDULED JOBS SerivceNow integration, API Key lifecycle, change-data capture operations, and operational observability. SELF-SERVICE LAYER Proton resource management and core of multi-tenancy architecture. Kafka Brokers Schema Registry Kafka Connect Monitoring Automation Proton API Proton UI Streaming and Scheduled Jobs Primary Secondary KAFKA-AS-A-SERVICE
- 17. KAFKA BROKERS Data streaming and retention. SCHEMA REGISTRY AVRO schema storage and management. KAFKA CONNECT Managed S3, SQS, and Lambda sink. KAFKA INFRASTRUCTURE Kafka streaming infrastructure and related services. Kafka Brokers Schema Registry Kafka Connect Monitoring Automation Proton API Proton UI Streaming and Scheduled Jobs Primary Secondary KAFKA-AS-A-SERVICE
- 18. AUTOMATION Kafka topic, user, and connector resource provisioning and quota management. MONITORING AND RECONCILIATION Extract insights from infrastructure to self-heal and improve visibility in Proton UI for Kafka connector status, Schema details, etc. INFRASTRUCTURE AUTOMATION Event-driven control-plane and monitor for Kafka clusters, Kafka Connect, and Schema Registry. Kafka Brokers Schema Registry Kafka Connect Monitoring Automation Proton API Proton UI Streaming and Scheduled Jobs Primary Secondary KAFKA-AS-A-SERVICE
- 21. MANAGING KAFKA WITH KAFKA TOPIC CREATION 1. Create topic request Kafka Brokers Schema Registry Kafka Connect Monitoring Automation Proton API Proton UI Streaming and Scheduled Jobs Primary Secondary 1 KAFKA-AS-A-SERVICE
- 22. MANAGING KAFKA WITH KAFKA TOPIC CREATION 2. Resource request event published Kafka Brokers Schema Registry Kafka Connect Monitoring Automation Proton API Proton UI Streaming and Scheduled Jobs Primary Secondary 1 2 KAFKA-AS-A-SERVICE
- 23. MANAGING KAFKA WITH KAFKA TOPIC CREATION 3. Consumed by automation 4. Actioned by automation Kafka Brokers Schema Registry Kafka Connect Monitoring Automation Proton API Proton UI Streaming and Scheduled Jobs Primary Secondary 1 2 3 4 KAFKA-AS-A-SERVICE
- 24. MANAGING KAFKA WITH KAFKA TOPIC CREATION 5. Resource event published Kafka Brokers Schema Registry Kafka Connect Monitoring Automation Proton API Proton UI Streaming and Scheduled Jobs Primary Secondary 1 2 3 4 KAFKA-AS-A-SERVICE 5
- 25. MANAGING KAFKA WITH KAFKA TOPIC CREATION 6. API Metadata updated Kafka Brokers Schema Registry Kafka Connect Monitoring Automation Proton API Proton UI Streaming and Scheduled Jobs Primary Secondary 1 2 3 4 5 KAFKA-AS-A-SERVICE 6
- 26. AREAS FOR GROWTH Additional infrastructure providers Additional source and sink Connectors Platform intelligence Advanced backup and restore tooling Majority transition to OAuth External Kafka integrations Edge and in-store clusters KAFKA-AS-A-SERVICE
- 27. THANK YOU