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Serverless Spring
Andrew Serff edited this page Dec 22, 2017
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Spring Cloud Function cloud.spring.io/spring-cloud-function github.com/proojectriff/riff
- Dave Syer - @david_syer
- Mark Fisher - @m_f_
4 developer ready abstractions available in the Cloud through PCF (all with BOSH)
- Functions
- Apps
- Data
- Containers
- Narrowly-scoped units of code and the simplicity of built in event integration that contribute to software development efficencies.
- Function which don't consumer resources when idle can provide significant resource efficencies.
- Applying serverless to distributed computing bring operational efficiencies based on automated event-based scheduling and self-scaling.
With PasS we are saying we don't care about the hardware. With FaaS, Functions are an abstraction above an application and we don't care where data comes from, we just want to deal with the data and move it on.
CNCF Serverless Working Group - writing use cases to define the future of cloud/serverless
Hosted
- AWS Lambda
- Azure FUnctions
- Goodle Cloud FUnctions
On-Prem/OSS
- riff
- Oracle fn
- OpenWhisk
- Fission
- Kubeless
- OpenFaaS
Java Util Function, Consumer, and Supplier
You can expose a Function as a bean in Spring.
spring-cloud-function-web
@Bean
public Function<Foo, Foo> uppercase() {
return foo->foo.getValue().toUppercase();
}
Want Serverless, choose 2
- Immediate - Instant on
- Consistent - Immutable containers
- Efficient - Scale to 0
helm init
helm repo add riffrepo https://riff.charts.storage.
help repo update
hellp install riffrepo/riff --name demo
ACES Learn to Code
- Git, GitHub GH-Pages
- Ozone Platform Developer Setup
- HTML, JavaScript, CSS
- Tomcat Web Server Setup
- A Simple Node.js App
- Spark with Docker
- Best Practices for Software Development
Other Tutorials
Conferences
- 2018 - DevOps Days Baltimore
- 2018 DevOps Days Baltimore, Part 2
- DevOpsDays---Baltimore
- Cross-Domain-Technical-Forum
- 2017 Potential Conferences
- LAS December 5th 2016
- DI2E Plugfest 2016
- OSCON 2015
- RWX-2015
- SpringOne-2017
- OSCON-2018
- DinosaurJS 2018
Training
- Developing on AWS
- Agile Team Facilitation
- Amazon AWS Big Data Solutions Day
- Cloudera Developer Training for Spark and Hadoop May 2016