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© Copyright 2019 Pivotal Software, Inc. All rights Reserved.
James Watters
April 2, 2019
Spring Boot+Kafka: the New
Enterp...
Our Journey: Bring continuous delivery
with platform efficiency to enterprises.
New
Projects
Waterfall
ITIL
VMs
JavaEE
Batch
Products
Lean
CI/CD
Cloud Native Platforms
Spring Boot
Kafka Streaming Platfo...
“For tech to be a real driver of innovation
and growth, IT needs to reorganize itself
around flexible platforms.” —McKinsey
Progress so far...
“We are happy to announce
that starting in 2018, Netflix is
also making the transition to
Spring Boot as our core Java
fra...
Platform at
T-Mobile
SPEED
➔Time to Prod: 6 Months to weeks
➔# of deployments: 10x increase
SCALABILITY
➔Avg: 300M Transac...
IBM
IBM
Monolith
App
Cache
Win?
App
Full transformation required a
fundamental rethink….
“A business is a
series of events
and the reactions
to those events.”
—Jay Kreps, CEO, Confluent
“The only reason we don’t
think of events….is that so
far the technology has
trained us to think of data
as a static store...
We restarted with
events first
What we’ve
learned
➔ Events are the language
bridge to the business
➔ This method of
identifying bounded
contexts is a sec...
Completing the Journey
IBM
App
Cache
App
Win? Microservices
Event-driven
Microservices
AppAppApp AppAppApp
AppAppApp
A platform built for a new way of thinking
➔Event + Microservice first
➔Team autonomy with
platform efficiency
➔Arbitrary ...
Streaming Data Platform
Immediate impacts
➔ Global banking brand building greenfield
core banking and payments with Spring
Streams + Kafka
➔ Focus on microservices ...
➔ Turning moving packages into streaming
data with RFID, Kafka and Spring Streams
event based microservices
➔ Kafka, Kuber...
PKS Managed Clusters
Messaging Middleware
Kafka
Binder Spring Data Repository
Event Driven Microservices
LTL Quote
Service...
➔ 100,00+ container build out of Spring
Streams, Kafka, key-value store
➔ Durability and consistency are critical
for pote...
Receiver
App
process queue
Fault tolerant
receiver pairs
staging
and
replication
Apps
Stream
Workers
Data
Enrichment
Strea...
➔ Mainframe and monolithic RDBMS data
teams often the last to move to
continuous delivery
➔ CDC, Event Shunting, patterns
...
PKS Foundation 1
PAS Foundation 1
Event Driven
Microservice
(Producers)
Event Driven
Microservice
(Consumers)
Domain
Drive...
Spring Kafka ++
We are all in…
doubling down on a platform
Spring Cloud Stream
deals with the Kafka
scaffolding, so you
don’t have to
The power of Kafka streams
for developers
➔ Rap...
We are all in…
doubling down on a platform
Spring Kafka ++ PCC Kafka Integration Pivotal Function Service
(Knative ++ )
PA...
Call to action
➔ Tim Berglund and Josh Long talk on
Spring and Kafka
➔ Contribute to GitHub features and issues
for Spring...
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Spring Boot+Kafka: the New Enterprise Platform

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Our Journey: Bring continuous delivery with platform efficiency to enterprises

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Spring Boot+Kafka: the New Enterprise Platform

  1. 1. © Copyright 2019 Pivotal Software, Inc. All rights Reserved. James Watters April 2, 2019 Spring Boot+Kafka: the New Enterprise Platform
  2. 2. Our Journey: Bring continuous delivery with platform efficiency to enterprises.
  3. 3. New Projects Waterfall ITIL VMs JavaEE Batch Products Lean CI/CD Cloud Native Platforms Spring Boot Kafka Streaming Platform Old
  4. 4. “For tech to be a real driver of innovation and growth, IT needs to reorganize itself around flexible platforms.” —McKinsey
  5. 5. Progress so far...
  6. 6. “We are happy to announce that starting in 2018, Netflix is also making the transition to Spring Boot as our core Java framework, leveraging the community’s contributions via Spring Cloud Netflix.”
  7. 7. Platform at T-Mobile SPEED ➔Time to Prod: 6 Months to weeks ➔# of deployments: 10x increase SCALABILITY ➔Avg: 300M Transactions a Day ➔Peak: 1Billion Transactions a Day STABILITY ➔43% reduction in app response time ➔83% fewer incidents, fixed 67% faster
  8. 8. IBM IBM Monolith App Cache Win? App
  9. 9. Full transformation required a fundamental rethink….
  10. 10. “A business is a series of events and the reactions to those events.” —Jay Kreps, CEO, Confluent
  11. 11. “The only reason we don’t think of events….is that so far the technology has trained us to think of data as a static store.” —Neha Narkhede
  12. 12. We restarted with events first
  13. 13. What we’ve learned ➔ Events are the language bridge to the business ➔ This method of identifying bounded contexts is a secret to decoupled architecture ➔ “Tell don’t ask”
  14. 14. Completing the Journey IBM App Cache App Win? Microservices Event-driven Microservices AppAppApp AppAppApp AppAppApp
  15. 15. A platform built for a new way of thinking ➔Event + Microservice first ➔Team autonomy with platform efficiency ➔Arbitrary scaling/scope across enterprise ➔Turnkey multi-cloud
  16. 16. Streaming Data Platform
  17. 17. Immediate impacts
  18. 18. ➔ Global banking brand building greenfield core banking and payments with Spring Streams + Kafka ➔ Focus on microservices velocity required platform first thinking ➔ Kleppman like view of Kafka: “We count on Kafka for consistency, strict ordering, replay, durability and auditability.” ➔ Cross cloud replication A new continuously delivered banking platform
  19. 19. ➔ Turning moving packages into streaming data with RFID, Kafka and Spring Streams event based microservices ➔ Kafka, Kubernetes and Spring Boot in every shipping center ➔ Multiple business microservices teams can layer onto streaming platform to bin pack last mile services. ➔ Prepared for unanticipated uses cases Revolutionize our shipping efficiency with streaming microservices
  20. 20. PKS Managed Clusters Messaging Middleware Kafka Binder Spring Data Repository Event Driven Microservices LTL Quote Service Scan RFIC Services RFID Triggered Automation Services
  21. 21. ➔ 100,00+ container build out of Spring Streams, Kafka, key-value store ➔ Durability and consistency are critical for potential legal actions ➔ Multi-phase stream processing with Spring Streams leading to real-time microservices alerting analysts ➔ Cross-cloud replication based on Kafka ➔ Continuously delivery required for real time apps to improve accuracy and functionality as project expands Help secure a European country?
  22. 22. Receiver App process queue Fault tolerant receiver pairs staging and replication Apps Stream Workers Data Enrichment Stream Workers Data Enrichment Stream Workers Data Enrichment process queue Stream Workers Data Classification Stream Workers Data Classification Stream Workers Data Classification buffer queue S3 RAW Store Receiver App X.000 Channel Streams RDBMS Store 3 DC KAFKA Replication NoSQL Store Index Store
  23. 23. ➔ Mainframe and monolithic RDBMS data teams often the last to move to continuous delivery ➔ CDC, Event Shunting, patterns emerging allow streaming data platform teams to offer mainframe and legacy RDBMS events to microservices teams ➔ “AirBnB Pattern” growing across enterprises ➔ Each team can build appropriate persistence and achieve multi-DC replication with streaming platform Let’s empower pharmacy microservices developers while evolving our legacy?
  24. 24. PKS Foundation 1 PAS Foundation 1 Event Driven Microservice (Producers) Event Driven Microservice (Consumers) Domain Driven Microservice Legacy ODS ODS Kafka Cluster 1 Broker MirrorMaker cluster 1: topics cluster 1: topics PKS Foundation 2 PAS Foundation 2 Event Driven Microservice (Producers) Event Driven Microservice (Consumers) Domain Driven Microservice ODS Kafka Cluster 2 Broker MirrorMaker cluster 1: topics cluster 1: topics
  25. 25. Spring Kafka ++ We are all in… doubling down on a platform
  26. 26. Spring Cloud Stream deals with the Kafka scaffolding, so you don’t have to The power of Kafka streams for developers ➔ Rapid on-ramp for Kafka Streams consumption ➔ Simplifies construction of Event- Driven Stateful Microservices ➔ Focus on your processing logic not on configuration ➔ Full support of all Kafka streams functionality
  27. 27. We are all in… doubling down on a platform Spring Kafka ++ PCC Kafka Integration Pivotal Function Service (Knative ++ ) PAS Service Brokers (Custom today) PKS Confluent Operator Testing and Integration AppTX + Kafka CDC ++
  28. 28. Call to action ➔ Tim Berglund and Josh Long talk on Spring and Kafka ➔ Contribute to GitHub features and issues for Spring Stream ➔ Come visit us at the booth to talk streaming microservices

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