Filip Kanpik - Product Manager @ Google Cloud Platform raised a topic related to the challenges and opportunities of the servaste architecture based on Google Cloud. The presentation will also cover open source solutions and launch of Serverless services on Kubernetes clusters using Knative; also outside of Google Cloud. We will talk about issues related to the efficiency of Serverless solutions in the public cloud and the direction of development of the entire area.

1. The future
is serverless
Filip Knapik
Product Manager, Serverless

2. Principles of serverless
Invisible, auto-scaling infrastructure
No paying for unused infrastructure$

3. Serverless features
Operational model
Fully managed security Pay only for usage
No ops,
Autoscaling
Event-drivenFocus on code Stateless
Programming model
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4. Serverless isn’t just compute
Compute AI
Data
Processing
MessagingDatabase
Data
warehouse
Storage

5. Serverless on GCP
Cloud Dataflow Cloud Machine
Learning
Cloud Storage
Cloud PubSub
Cloud Functions App Engine
BigQuery
Cloud Datastore

6. What’s so hard about traditional app development?
User
Select
IaaS
OS
Setup
Containerization
Storage
Container
Orchestration
Networking
Monitoring
Logging
Testing
Dev

7. Highly customizable Highly managed
HTTP or Async
Functions
High scalability
for apps
Zero server
management
Multi Container-
based system
Run on VMs
Used for Lift & Shift
Compute Engine Kubernetes
Engine
App Engine Cloud
Functions
Serverless
Re-platform once;
run anywhere
Connect and extend
cloud services
Compute continuum
Serverless
Containers
GKE
Serverless
Add-on
Serverless
abstraction
for GKE
Can run with
GKE on-prem
Fully managed
Build, deploy
and serve
containers

8. Functions

9. FaaS characteristics
Simple Auto-scales
with usage
Run code in
response
to events
Pay only while
your code runs

10. FaaS Use Cases
APIs Events
Data and light ETL
Webhooks
Device/iOT analytics
e
e
e
e
Web/mobile
client API calls
(FE queries,
client UX)
Data change events
Log event actions
1P/3P data ingestion and
lightweight ETL
Client behaviour event
triggers, analytics

11. Cloud event triggers
Cloud Functions Cloud Vision API
Cloud Functions
Cloud Storage
Cloud Storage

12. Pros and cons of FaaS
Focus on code, not infrastructure
Flexible cost
Very scalable
Enforces microservice architecture
Event-based
Not all workloads can use FaaS abstraction
Not always portable

13. Containers

14. Highly customizable Highly managed
HTTP or Async
Functions
High scalability
for apps
Zero server
management
Multi Container-
based system
Run on VMs
Used for Lift & Shift
Compute Engine Kubernetes
Engine
App Engine Cloud
Functions
Serverless
Re-platform once;
run anywhere
Connect and extend
cloud services
Serverless & containers
Serverless
Containers
GKE
Serverless
Add-on
Serverless
abstraction
for GKE
Can run with
GKE on-prem
Fully managed
Build, deploy
and serve
containers

15. Serverless containers
Event/Response
Fully managed
Stateless
Pay for use
Sign up: g.co/serverlesscontainers
Serverless Containers (Alpha)

16. Serverless add-on
1-Step deploy Run serverless
workloads in your GKE
Cluster
Auto-Scale
Sign up: g.co/serverlessaddon

17. Serverless future
FaaS + Containers + Apps
Event-based architecture
No-ops as a preferred model
Everyone needs scalability
Portability is a must

18. Q&A
Filip Knapik
knapik@google.com