This document discusses reflections on serverless computing from Diego Pacheco. It describes the evolution from SOA to microservices to serverless. Serverless wave 1 focused on functions and pay-per-use billing but had tooling and scaling limits. Serverless wave 2 enables multi-cloud deployment without vendor lock-in but still has challenges around data management and potential for new integration needs. Kubernetes is the new Linux but other abstractions are adding complexity, and fully serverless applications may require solutions for data integration challenges not yet addressed.

1. Reflections
On
Serverless
Diego Pacheco

2. @diego_pacheco
❏ Cat's Father
❏ Principal Software Architect
❏ Agile Coach
❏ SOA/Microservices Expert
❏ DevOps Practitioner
❏ Speaker
❏ Author
diegopacheco
http://diego-pacheco.blogspot.com.br/
About me...
https://diegopacheco.github.io/

3. Time goes by...
❏ SOA
❏ APIS
❏ Microservices
❏ Serverless

4. SOA

5. SOA
+ Services
+ Abstraction
+ Interoperability
+ Shared Services
+ Evolutionary Ref.
+ Flexibility
- ESB (integration)
- Soap / XML
- Enterprise
- Internal

6. SOA by Amazon

7. APIs

8. API
+ REST + JSON
+ Life Cycles
+ External
+ Biz Models
+ B2B
- Don't FIT well
- for internal Enterprise
- Often Text(gRPC)
- Issues Beyond RPC
- Batching
- Streaming
- Aggregation(GraphQL)

9. Microservices

10. Microservices
+ Isolation
+ Anti-Fragility
+ UX-Degradation
+ Scalability
- Infra Cost
- Complexity
- Expensive
- Expensive for
Small companies

11. Anti-Docker Moviment
- Do We really need docker?
- Containers == Linux
Features
- Recipes Fallacies
- Image Nightmare
- Kernel Panics
- Lack of Cluster(K8s)
- Packing (Mesos , Nomad,
FAT jar)

12. Cloud Providers OSS Vampires?
- Vampires Suck!
- OSS Makes money by
- SaaS and Services
- Cloud Providers are doing
both and also better :-)
- Its OSS Dead?
- License change? Redis.

13. Could we Abstract “value”?
- Value from service(utilization)
- Cloud-Native VS Abstractions
- Product VS Project Shift
- IT trying to get control back
- Big Vs Small Companies
- Complexities of Real
multi-cloud

14. Serverless - Wave 1 - Functions

15. Serverless - wave 1
+ Abstraction
+ Pay on Demand
+ Event Driven
- Tooling
- Limited AutoScaling
- Not For All kinds of
problems

16. Serverless - Wave 2 - Multi-Cloud

17. So many OSS Frameworks on top of k8s
Serverless Framework
http://serverless.com
Open FaaS
https://www.openfaas.com/
Iron Functions
https://github.com/iron-io/functions
Open Whisck
https://openwhisk.apache.org/
Spring Cloud Functions
https://cloud.spring.io/spring-cloud-functio
n/
fn project
https://github.com/fnproject/fn

18. Google Weight in

19. Google Vision on Serverless

20. Google Vision on Serverless

21. Serverless - wave 2
+ Better Tolling
+ Fast for Small
+ Multi-Cloud
+ No Lock-In
+ PaaS Killer
- Data and Blast
Radius
- Data is not there yet.
- Are we doing a ESB
on wave 3?

22. Conclusions
❏ Kubernetes is the new Linux but...
❏ Another Layer of Indirection
❏ We are starting from “backend” there is data and more…
❏ We might see an new Cloud ESB soon
❏ Docker value is fading == “packing”
❏ Product vs Project Shift | Small vs Big Companies
❏ OSS licenses might change: facebook / redis
❏ No-*: NoOps, NoBackend, NoServers (reduce layers)

23. Reflections
On
Serverless
Diego Pacheco