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Data in Motion: Combining the Strengths of AWS and Confluent

  1. DATA IN MOTION Combining the Strengths of AWS and Confluent September 22, 2021 11 AM MDT
  2. Our Learning Checklist What we’ll cover during this session 01 02 03 04 05 Confluent Overview AWS Overview Big Compass Overview AWS + Confluent Case Studies AWS + Confluent Better Together
  3. Meet the Speakers Kapil Kumar Co-CEO Big Compass Jobin George Senior Partner Solutions Architect | Big Data AWS Joseph Morais Staff Cloud Partner Solutions Architect Confluent
  4. Confluent Overview Joseph Morais Staff Cloud Partner Solutions Architect | Confluent
  5. Other Systems Other Systems Kafka Connect Kafka Cluster Kafka Connect Apache Kafka is an Event Streaming Platform ...many more
  6. Event Streaming allow us to set Data in Motion: Continuously processing evolving streams of data in real-time Rich front-end customer experiences Real-time Events Real-time Event Streams and Analysis A Sale A shipment A Trade A Customer Experience Real-time backend operations
  7. Confluent Enables Your Event Streaming Success Hall of Innovation CTO Innovation Award Winner 2019 Enterprise Technology Innovation AWARDS Confluent founders are original creators of Apache Kafka® Confluent has 1 million+ hours of experience with Kafka and we currently manage over 6,000 clusters in Confluent Cloud Confluent helps enterprises successfully deploy event streaming at scale and accelerate time to market Confluent Platform extends Apache Kafka® to be a secure, enterprise-ready platform
  8. Confluent: Everywhere Confluent Platform The Enterprise Distribution of Apache Kafka Confluent Cloud Apache Kafka Re-engineered for the Cloud Self-Managed Software Fully-Managed Service VM Deploy on any platform, on-prem or cloud Available on the leading public clouds
  9. Serverless on AWS Jobin George Senior Partner Solutions Architect | AWS
  10. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark 10 What do our customers need to drive success? Get to market faster High performance and scalability Security and isolation by design Lower total cost of ownership
  11. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark 11 Why are customers building with a serverless-first strategy? Agility Performance Cost Security
  12. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark 12 How are customers adopting a serverless strategy? Lift and shift REDUCE the amount of DIY MIGRATE to AWS MODERNIZE on AWS Retire SaaS Refactor Replatform BUILD NEW INNOVATION
  13. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark 13 HUNDREDS OF THOUSANDS of customers TRILLIONS of Lambda executions per month Serverless adoption is growing fast
  14. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark 14 Small pieces, loosely joined
  15. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark 15 Serverless is more than compute AWS Lambda AWS Fargate Amazon API Gateway Amazon SNS Amazon SQS AWS Step Functions COMPUTE DATA STORES INTEGRATION AWS AppSync Amazon Aurora Serverless Amazon S3 Amazon DynamoDB Amazon EventBridge
  16. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark 16 How can you innovate faster with operational consistency? Replatforming – aka “lift-tinker-and-shift.” Replatforming involves making optimizations in order to achieve some tangible benefit in the cloud without changing the core architecture of the application. For example, moving from managing your own message broker to Amazon MQ, or leveraging your current monitoring tool with AWS Lambda. Standardize on familiar tooling while also benefiting from a serverless strategy
  17. © 2021, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. Confluent Cloud on AWS – Reference Architecture
  18. © 2021, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. Simple Serverless Architecture with AWS and Confluent Cloud https://tinyurl.com/cfltaws
  19. Big Compass Overview Kapil Kumar Co-CEO | Big Compass
  20. Empower Your Information with Data Agility IT Consulting Company that specializes in moving and combining data to make it readily available for better insights and operations
  21. ● Leverage best of breed as opposed to one size fits all ● Combine technologies to complement each other’s strengths ● Leverage cloud technologies - Cloud first approach ● Go serverless when it makes sense ● AWS and Confluent pair well together especially when dealing with complex integration challenges Big Compass Approach
  22. AWS + Confluent Better Together
  23. Scenario An API needs to be developed to accept RESTful requests from customers and the requests need to be transformed and sent to Salesforce AWS + Confluent API Connectivity AWS Services Used: + API Gateway + Lambda Confluent Services Used: + Salesforce Sink Connector
  24. Scenario Salesforce emits Platform Events that must be captured and sent to persistent data storage for querying AWS + Confluent Salesforce Events AWS services used: + Lambda + RDS Confluent services used: + Salesforce Source Connector + Lambda Sink Connector
  25. ● Data transformation ● Orchestration ● APIs ● Data storage ● Infrastructure and hosting ● DevOps and CI/CD ● Logging ● Real-time streaming ● Connectors AWS + Confluent Additional Scenarios Big Compass AWS + Confluent Blog Low Latency Real-Time Cache Updates with Amazon ElastiCache for Redis and Confluent Cloud Kafka Real-Time Serverless Ingestion, Streaming, and Analytics using AWS and Confluent Cloud
  26. AWS + Confluent Case Studies
  27. CUSTOMER CASE STUDY Dental Insurance Firm Challenge A large dental insurance firm has its data locked in an on-prem legacy IBM iSeries DB2 database. 1. Scalability limited 2. Unable to leverage cloud technologies to innovate. 3. Unable to analyze application data to gain valuable insights and offer value added services to customers.
  28. CUSTOMER CASE STUDY Dental Insurance Firm - Architecture
  29. © 2021, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. Challenge Manual backend operations process. Distributed view of customers and provide a real-time digital experience for tracking the status of their cars. Need to improve customer engagement. Solution The solution was built with Confluent and ksqlDB on AWS as a central nervous system connecting core ACERTUS systems, including transportation management, title and registration, and car haul systems Results Opened up new business opportunities that generated more than $10 million in revenue in the first year. A new integrated end-to-end solution that would incorporate many services picking up vehicles; washing, fueling, and servicing them as needed; and then delivering them to their destinations. Automotive Logistics and Services Use case - ACERTUS
  30. © 2021, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. Challenge Maximize customer satisfaction and revenue growth by creating a hyper-personalized online retail experience, turning each customer visit into a one-on-one marketing opportunity. Solution Use Confluent to combine historical customer data with real-time digital signals from customers, generating hyper-personalized content – and using AWS Lambda to trigger special offers – which is inserted in real time back into the customer’s session. Results ● Real-time hyper-personalization of the customer experience ● Increased customer conversions ● Accelerated innovation ● Confluent Cloud frees up developers’ time Retail use case – AO.com https://www.confluent.io/customers/ao/
  31. Big Compass Accelerators AWS and Confluent
  32. Download AWS Accelerator Download Confluent Accelerator Data Agility Services Confluent Implementation Featured on:
  33. Kapil Kumar Co-CEO & Co-Founder Big Compass kapil@bigcompass.com Jobin George Senior Partner Solutions Architect | Big Data AWS jobigeor@amazon.com Joseph Morais Staff Cloud Partner Solutions Architect Confluent jmorais@confluent.io Connect with Us Thank you for attending!
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