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Cloud Native Batch Processing
This document discusses how Spring Framework, Spring Batch, Spring Cloud, and Spring Cloud Task can be used together for cloud native batch processing. It provides an overview of the technologies and how they can be used to build scalable, fault tolerant batch applications. Code examples are shown for partitioning batch jobs across multiple servers to scale out processing and using Spring Cloud Data Flow to orchestrate batch workflows in a microservices architecture.
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Cloud Native Batch Processing
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- 2. MICHAEL MINELLA Lead –Spring Batch & Spring Cloud Task JSR-352 - Expert Group Member Author – Pro Spring Batch Speaker - JavaOne Rockstar Podcast - OffHeap Curmudgeon Twitter - @michaelminella or @OffHeap
- 4. SLIDES AND CODE WILLBE ON GITHUB SOON
- 6. LAY OF THELAND
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- 15. BATCH PROCESSIN IS STILLRELEVANT
- 16. MODERN PATTERNS ANDTOOLS MAKE BATCH A POWERHOUSE
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- 22. First major versionsince 2014
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- 35. How do weconfigure the app? HOW DO WE CONFIGURE OUR APP?
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- 40. Import Process Amazon S3 SpringCloud Config Spring Cloud Eureka REST Service
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- 42. HOW DO WE SCALETHE APP?
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- 54. CLOUD NATIVE ORCHESTRATION TOOLFOR MICROSERVICES
- 56. LAUNCH VIA REST, STREAMS,OR ON DEMAND
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- 58. CLOUD NATIVE WITHSPRING
- 59. ALLOW YOU TOTAKE BATCH PROCESSES
- 60. A N DD E P L O Y THEM TO THE CLOUD
Editor's Notes
- #6 Please ask questions when you have them
- #13 Today we’re going to look at the most exciting area of IT
- #14 Batch processing
- #15 While batch processing may be old
- #16 All joking aside, new paradigms still need batch processing: Orchestration of workloads ETL Data Science IOT
- #20 Spring Batch is 9 years old A bedrock technology in modern enterprises in every vertical
- #23 Heartbleed and the iWatch were both new. First major release since Boot.
- #26 Upgrade all dependencies
- #30 New features provide added robustness
- #36 How do we configure our app?