The document discusses the readiness for serverless architecture within the context of cloud computing, highlighting that significant portions of compute may be stateless and suitable for serverless adoption. It raises concerns regarding long-running applications, potential lock-in, complexity, and the challenges posed by observability in a serverless ecosystem. The author suggests embracing the paradigm and preparing for the future landscape of cloud services and managed solutions.

1. Are We Ready for Serverless
Subbu Allamaraju
Container World | Feb 27, 2018 | Santa Clara, CA
@sallamar
https://www.subbu.org

2. More than 50% of
compute may be
stateless
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Observation

3. Hypothesis
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Most of stateless is a
candidate for some
kind of serverless

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Hypothesis
Most of state is
moving to managed
cloud services

5. Capacity demand
Desired capacity
Actual allocated capacity + additional DR capacity?
A dream from 2011
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6. Reality in 2018
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A few billion lambda invocations per month

7. What about state?
S3, Glacier, Aurora,
Elasticache, RDS,
Redshift, DynamoDB,
Neptune, Athena,
ElasticSearch Service,
Quicksight, EMR,
Kinesis, Data Pipeline,
CloudSearch, Redshift,
SQS, SNS, MQ, …
BigQuery, Cloud
Dataflow, Cloud
Dataproc, Cloud
Datalab, Cloud
Dataprep, Cloud
Pub/Sub, Data Studio,
Cloud SQL, Cloud
Bigtable, Cloud
Spanner, Cloud
Datastore, …
Queue Storage, Blob
Storage, Notification
Hubs, Search, SQL
Database, SQL Data
Warehouse, SQL Server
Stretch Database,
Cosmos DB, Redis
Cache, Table Storage,
HDInsight, SQL Data
Warehouse, Event Hubs,
…
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8. Container ecosystem may
or may not play a role
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Hypothesis

9. Are we really ready?
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10. Not suitable for long-running
appsExpensive
Lock-in
Slow on cold start
No local storage
More complex call patterns
Unknown security risks
No standards
Observability is hard
?
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11. Habits and inertia
Stateless isn’t always
stateless
Ephemeral isn’t
always ephemeral
Often pet like
?
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12. Fear of the ecosystem
Lock-in worries
Undifferentiated heavy
lifting vs Value
generation?
?
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13. Maturity
Feature gaps
Pricing
Tomorrow != Today
Tooling?
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14. Embrace the paradigm
Learn
Get ready
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