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DATA
PROCESSING
WITH
MICROSERVICES
@michaelmine
lla @OffHe
ap
github.com/mminella/data-
microservices
LAY OF THE
LAND
SPRING
FRAMEWORK
SPRING
INTEGRATION
SPRING
BATCH
SPRING CLOUD
STREAM
SPRING CLOUD
TASK
SPRING CLOUD DATA
FLOW
WHAT ARE WE
GOING
TO TALK
ABOUT?
DATA
INTEGRATION
EVOLUTI
ON
MONOLIT
HS
MULTIPLE
INTEGRATION
FLOWS & BATCH
JOBS
LARGE
COMPLEX
ARTIFAC
TS
DIFFIC
ULT
TO
TEST
HARD TO
GET
TO
PRODUCTIO
N
BIG DATA
PLATFOR
MS
GOOD WITH
LARGE
VOLUMES OF
DATA
BAD WITH
SMALL
VOLUMES OF
DATA
LARGE
LEARNING
CURVE
LITTLE/NO
REUSE
BETWEEN
SOLUTIONS
HEAVY
FOOTPRINT
IN YOUR
CODE
HARD TO
TEST
HARD TO
GET
TO
PRODUCTIO
N
CATEGORY CAN BE
USEFUL
JUST NOT FOR
EVERYTHING
DATA
MICROSERVI
CES
CLOUD
NATI
VE
DEVELOPED AND
TESTED
IN
ISOLATIO
N
INDEPENDANT
LY
SCALAB
LE
FAMILIAR
DEVELOPMENT
MODEL
SMALL AND
SIMPLE
TO TEST
OPERATIONALLY
EASY TO
GOVER
N
TWO MAIN
PROCESSING
MODELS
STREA
MS
TAS
KS
DATA INTEGRATION
AS A SERVICE
COMPOSTIO
N OF
MICROSERVI
CES
STREAMS AND
FLOWS
BECOME YOUR
“APP”
OPERATIONAL AND
ORCHESTRATION
COVERAGE
SPRI
NG
Spring
Spring
Integration
Spring
Batch
Spring Cloud
Stream
Spring Cloud
Task
SPRING
CLOUD
STREA
M
MESSAG
E
DRIV
EN
transformertime log
transformertime log
@EnableBinding(Source.class)
@EnableBinding(Processor.class)
@EnableBinding(Sink.class)
USE
CASES
DATA
INGESTION
1
DATA
TRANSFORMATION
2
REAL-TIME
DATA
PROCESSING
3
IO
T
4
Demo
DEM
O
SPRING
CLOUD
TAS
K
MICROSERVIC
ES
THAT
END
TASK
REPOSITORY
1
BATCH
INTEGRATION
2
STREAM
INTEGRATION
3
@EnableTask
USE
CASES
BATCH
JOBS
1
ONE OFF
PROCESSES
2
ETL
PROCESSES
3
DATA
SCIENCE
4
FINITE
PROCESSING
5
Demo
DEM
O
SPRING
CLOUD
DATA
FLOW
WHAT IS
SPRING CLOUD DATA
FLOW?
DATA FLOW
ORCHESTR
ATES
TAKES
ADVANTAGE OF
MODERN
PLATFORMS
CLOUDFOUN
DRY
1
KUBERNE
TES
2
LOC
AL
3
http | filter | hdfs
// DSL
http | filter | hdfs
// DSL
NO
INSTALLED
CONTAIN
EVERYTHIN
G IS
SPRING
A BOOT APP
FOR
THE
A BOOT APP
FOR
THE
ALL BOOT
APPS
FOR OTB
Data Flow Server shell
app app app
browser
Data Flow Server shell
twitter log field-value-counter
browser
twitter log
field-value-counter
Stream Demo
DEM
O
BUT WAIT,
THERE’S
MORE!
TASK/STREAM/B
ATCH
INTEGRAT
ION
1
PARTITIONED
STREAMS
2
SCALING
STREAMS &
TASKS
3
Learn More. Stay Connected.
Spring Cloud Data Flow
Project: cloud.spring.io/spring-cloud-dataflow/
Github: github.com/spring-cloud/spring-cloud-dataflow
Spring Cloud Stream
Project: cloud.spring.io/spring-cloud-stream/
Github: github.com/spring-cloud/spring-cloud-stream
Spring Cloud Task
Project: cloud.spring.io/spring-cloud-task/
Github: github.com/spring-cloud/spring-cloud-task
Pivotal: pivotal.io
Twitter: twitter.com/springcentral
YouTube: spring.io/video
LinkedIn: spring.io/linkedin
Google Plus: spring.io/gplus
QUESTIO
NS?
Th End

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