Serverless Practitioners Summit 2019
2019-11-18
San Diego, United States
as the organisers put it
Where the serverless community and present end users unite with comprehensive strategies to understand serverless in a cloud native context.
who it's for
serverless engineers, platform engineers, kubernetes operators, cloud architects, developer experience engineers, site reliability engineers, Java developers
topics
Tekton CI/CD pipelines for functions; CloudFormation and S3-backed deployments; OpenWhisk router with Envoy gateway; Knative autoscaling using concurrency and RPS; KEDA with HPA and event scalers; OpenFaaS plus Okteto hot reload workflow; Prometheus-driven autoscaling and alerts; NATS async messaging for background work; Confluent Cloud Kafka with ksqlDB streaming; Lightweight session layer for stateful serverless; GraalVM native-image for fast Java cold starts; OCI image packaging and CloudEvents contracts
| title | author | length |
|---|---|---|
| Welcome | Doug Davis | 01m |
Brief welcome and housekeeping: sponsors listed are Puppet, Microsoft, New Relic, bathrooms and coffee are indicated, and lunch is served in the back. Agenda… | ||
| Make Deployments Easy with Project Nebula | Kenaz Kwa | 08m |
Project Nebula composes existing tools into repeatable pipelines to deploy serverless functions alongside infrastructure changes, built on Tekton and… | ||
| Serverless Experiences -- On Your Own Servers? | Evan Anderson | 35m |
Argues serverless means a developer model focused on a single unit of work with the platform auto-scaling and hiding capacity concerns; gives concrete examples… | ||
| Unlocking all the Serverless | Tyson Norris | 29m |
Adobe I/O Runtime runs Apache OpenWhisk and adds a new data plane component called the openwhisk router that separates control and data planes, delegates… | ||
| Serverless on Kubernetes: What We Learned From Customers | Eduardo Laureano | 29m |
Azure describes how customers run serverless on Kubernetes using the func tooling to auto-generate container images and KEDA to replace the cloud scale… | ||
| Getting Beyond FaaS: The PLONK Stack for Kubernetes Developers | Alex Ellis | 35m |
PLONK = Prometheus, Linkerd, OpenFaaS, NATS, Kubernetes maps concrete pieces to outcomes: PLONK = Prometheus, Linkerd, OpenFaaS, NATS, Kubernetes. A GitHub… | ||
| The Future of Serverless Java | Chad Arimura | 30m |
Java currently powers ~12 million developers and ~80% of enterprises yet only ~5% of serverless functions use it; the gap narrows by concrete changes: class… | ||
| Painless Serverless Function Development In Kubernetes | Ramiro Berrelleza | 24m |
Shows how to run functions inside Kubernetes using OpenFaaS + Okteto to launch a live dev pod that syncs local code into the function container, hot reloads on… | ||
| Architecture Patterns To Enable Stateful Communication Over Stateless Serverless Apis | Wenbo Zhu | 28m |
Claim: stateless serverless functions can host long-lived, ordered streams by layering a lightweight session layer and session ID mapped to an in-memory store… | ||
| Building Event Streaming Applications with Serverless Kafka | Ricardo Ferreira | 28m |
A Pac‑Man game is deployed end‑to‑end to demonstrate event streaming: a Terraform deployment takes about four to five minutes to create an S3‑hosted frontend… | ||
| Towards Serverless As Commodity: A Case of Knative | Nima Kaviani, Dmitriy Kalinin | 33m |
Compares Knative, AWS Lambda, OpenWhisk, OpenFaaS and Kubeless across seven concrete API/runtime contracts and shows what must be standard for serverless to… | ||
| How Knative Uses Concurrency and Rps (Requests per Second) For Autoscaling | Tara Gu | 22m |
Knative autoscaler uses both concurrency and a new RPS metric to add or remove pods, with concrete knobs: target burst capacity ( -1 = infinite, 0 = none… | ||
| Multi-Cloud Messaging with Functions: Gcp Pub/Sub to & from AWS SNS | Sam Stoelinga | 06m |
Build is a two-way message bridge that duplicates events between GCP Pub/Sub and AWS SNS using Cloud Functions on GCP and AWS Lambda on AWS; uploads to Google… | ||
| Working with Serverless Functions and CI/CD | Avni Patel | 09m |
Practical cookbook for CI/CD with serverless on AWS/GCP/Azure: use Serverless Framework or Terraform, keep Lambdas, S3, DynamoDB separate from slow infra, and… | ||
| nothing matches | ||