apidays Paris 2022 - Serverless Sustainability, Omid Eidivandi, Groupe SeLoger

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apidays Paris 2022 - APIs the next 10 years: Software, Society, Sovereignty, Sustainability December 14, 15 & 16, 2022 Serverless Sustainability Omid Eidivandi, Technical Leader at Groupe SeLoger ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/ Deep dive into the API industry with our reports: https://www.apidays.global/industry-reports/ Subscribe to our global newsletter: https://apidays.typeform.com/to/i1MPEW

Data & Analytics

2023 SERIES OF EVENT
New York
May 16&17
Australia
October 11&12
Singapore
April 12&13
Helsinki & North
June 5&6
Paris
SEPTEMBER
London
November
15&16
June 28-30
SILICON VALLEY
March 14&15
Dubai & Middle East
February 22&23

Serverless decomposition
Storage
Broker
Events
Compute
Integrations
Folw

Alignements
How Organize Data?
How Transfer Data?
How Use Brokers?
How Optimize Compute?
How Optimize Events?
Questions

Organize Data
● Choose Right Datastore
● Design Per Software Needs
● Choose Right Index
● Partitioning / Consistency /
Availability
● Lifecycle ( Hot / Warm / Cold )
● Dont store data
Datastore
Relational NoSQL Blob
Document
Standard IA Archive

Brokers
● Notify instead of Fetch
● Inverse dependency direction
● Sharing Responsibilities
● Lightning communication
Notify interested actors
DB Api
Consumer
Consumer
Consumer
Topic
Func
Consumer
Consumer
Consumer

Transfer
● Transfer essential info
● Notify Lightweight formats
● Consumer need
● Keep data close
● Cache if helps
Transferring Data
Func
Topic
Consumer
Consumer
Consumer
DB Func
Api

Events
● Metadata info
● Lightweight event
● Observable System
● Optimized transfer
● Decisional info like event Lifecycle
Optimize Events
Func
Topic
Consumer
Consumer
Consumer
Connect BC via events
Identify Operation
Correlate Transfer
Trace communication
Context specific info

Compute
● Init, Warm, Cold
● Freeze / Thaw
● Small Package Size
● Provisioned Concurrency
Optimize Compute
Init
Init
Invocation
Invocation
Invocation
Invocation
Init
Init
Invocation
Invocation
Invocation
Invocation
Clean
Clean
Clean
Clean
Init

Compute
● Asynchronous
● More Control
● Minimum resource usage
● Local store vs dynamic dep
● Neoverse Processor Arch
● Service Integration vs Func
Optimize Compute
DB
Api
Gateway
Consumer
Func
Dependency
Queue
storage Dependency
Projector

Serverless Communication Patterns
Thanks

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