Upkar Lidder
Upkar Lidder is a Full Stack Developer and Data Wrangler with a decade of development experience in a variety of roles. He can be seen speaking at various conferences and participating in local tech groups and meetups.
Hasursa GraphQL engine & IBM Serverless
Upkar Lidder
Developer Advocate, IBM
> ulidder@us.ibm.com
> @lidderupk
What is Serverless
Serverless computing refers to the concept of building and running applications that do not require server management.
It describes a finer-grained deployment model where applications, bundled as one or more functions, are uploaded to a platform and then executed, scaled, and billed in response to the exact demand needed at the moment.
It refers to the idea that consumers of serverless computing no longer need to spend time and resources on server provisioning, maintenance, updates, scaling, and capacity planning. Instead, all of these tasks and capabilities are handled by a serverless platform and are completely abstracted away from the developers.
Cloud Native Computing Foundation
https://github.com/cncf/wg-serverless/tree/master/whitepapers/serverless-overview
Use Cases
-
Secure and scalable APIs
- API Gateway ➸ Function
- Backend services / micro services
- Event Driven Programming
- Changes in database
- Social events
- Small focused tasks with infrequent and/or unpredictable traffic
Serverless Landscape
Hosted
Installable
Cloud Native Computing Foundation
Apache OpenWhisk
Apache OpenWhisk is an open source, distributed Serverless platform that supports a programming model in which developers write functional logic (called Actions), in any supported programming language, that can be dynamically scheduled and run (with Rules) in response to associated events (via Triggers) from external sources ( Feeds) or from HTTP requests.
Apache OpenWhisk
Packages
WSK CLI
WSK SYSTEM PACKAGES
WSK SYSTEM PACKAGES
Apache OpenWhisk (py)
Entry point
Dictionary
Dictionary
Apache OpenWhisk (py)
Apache OpenWhisk (py)
Composition / Orchestration
Composition / Orchestration
So much more ...
-
More Compositions - Use higher-level programming constructs to declaratively chain together multiple actions.
- while, repeat, let, retry, try, if, etc
- HTTP Actions (web == true)
- Packages community (couchdb, kafka, etc)
- API Gateway (rate limiting, authentication/authorization)
- Install external packages, debugging, etc
KUI Shell
KUI Shell
Community and Help
- Slack
- http://openwhisk-team.slack.com/
- Github source and OpenWhisk docs
- Youtube/Medium/Twitter
- OpenWhisk Tech Interchange
Thank you
Upkar Lidder
Developer Advocate, IBM
> ulidder@us.ibm.com
> @lidderupk
> upkarlidder.com
Call for Code 2019
Solid Foundations
Leverages existing opensource solutions
Some things to 🤔
- Functions are stateless. Need some sort of persistence between runs.
- Are you able to test and develop locally ? Does provider have CLI ?
- Can you easily version your functions ? Source control ?
- Can you easily monitor your functions ?
- Security and API gateway
- Avoid long-running loops / mini-monoliths ?
- Latency (cold, warm and hot loads)
- How do you track dependencies ?
OpenWhisk
IBM Cloud Functions
Compositions
Apache OpenWhisk (js)
Entry point
Object In
Object Out
Apache OpenWhisk (js)
1
2
3
4
5
Composition / Orchestration
CONDITION Action Name
Code
THEN Action Name
Code
ELSE Action Name
Code
Composition / Orchestration
Apache OpenWhisk (java)
Entry point
JsonObject In
JsonObject Out
Apache OpenWhisk (java)
JsonObject In
Fat JAR
Apache OpenWhisk (java)
1
2
3
4
Apache OpenWhisk (java)
Apache OpenWhisk (tail log)
Apache OpenWhisk (create)
wsk action create helloJava target/hello-world-java.jar
--main com.example.FunctionApp
Apache OpenWhisk (invoke)
wsk action invoke --result helloJava --param name "Upkar Lidder"
Apache OpenWhisk (example)
Serverless - a short introduction
By Upkar Lidder
