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Why FaaS is the Least Important
Thing About Serverless
Eoin Shanaghy, CTO @fourTheorem @eoins
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fourTheorem
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Modern Application Development / Modernisation
Serverless and Microservices
DevOps
Machine Learning
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Eoin Shanaghy
@eoins
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http://bit.ly/aiservice
40% discount
twmicroxchg19
+
3 FREE BOOKS!
!
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Software Development has
been in its Infancy
Half-baked
Solutions
Poor
Planning
Dubious
Quality
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This time it’s different
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Why is Now Different?
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Era of the Product Mindset
LEAN
LOW COST
EXPERIMENTATION
FEEDBACK LOOPS
CONTINUOUS
DEPLOYMENT
PRODUCT
DISCOVERY
BUILD THE
RIGHT PRODUCT
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PRODUCT MANAGEMENT
CUSTOMER EXPERIENCE
ENTERPRISE
BUILDING PRODUCTS THAT MATTER
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SERVERLESS
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EARLY
ENTERPRISE JAVA
CORBA OOP
UML
ARCHITECTURE
SPECIFICATIONS
RDBMS
STORED PROCS
FUNCTIONAL
SPECIFICATIONS
2000
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Deployment every 3-6 months
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Microservice Era
Microservices
Containers
Distributed Systems
Organisational Change Faster Adaptable
Build your own PaaS Infrastructure Investment
Scalable Reliable
Focus Disposable
CD Immutable
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λ
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Serverless !== FaaS
The same rules
don’t necessarily
apply
Don’t just divide
existing code into
Lambdas
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Take a Greenfield perspective
Forget legacy constraints
Disregard current implementation
Establish a technology vision
Serverless Adoption – First Steps
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What does all our code
actually do?
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What do we
spend our time
on?
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Differentiating Code
Integration
Transformation
Delegation
Data Access
Orchestration
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Non Functional Considerations
Monitoring
Security
Scalability
Reliability
Governance / Compliance
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Data Transformation
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Integration
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Data Access
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Orchestration and Routing
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Lambdify Everything?
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Lambdify Everything?
Developer Flow
Feedback Loop
Local Development Debugging
Size Limits
Latency
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Data Locality
Access to Files (S3)
Performance
Synchronous Fetch Cost
No EBS or EFS
Storage Cost < Compute Cost
Move the Code to the Data
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There are other ways
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Serverless is true Utility Computing
• FaaS is one of these utilities. There are many.
• Favourites (AWS)
• S3
• Cognito
• DynamoDB
• AppSync
• Aurora Serverless
• Step Functions
• IAM
• Lambda
The Holistic Serverless Definition
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The Effect of Managed Services
State is
Federated
Distributed
State
Management
Data in the Right
Form >
Fetch on
Demand
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Distributed State – Understand Access Patterns
SQL DynamoDB Event Streams
Structured
Normalised
Arbitrary access
patterns
Unstructured
Single table
Predictable access
patterns
Event sourcing
Event-driven
Real-time requirement
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• Optimise for access – polyglot persistence
• Downsample
• Aggregate
• Keep raw data
• Iterate on your approach
• Keep code close to the data – remember the power of SQL
Store with Intent
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S3 SELECT
Read from S3, Parquet or JSON
SELECT temp, timestamp,
device_id FROM s3Object s
WHERE s.date BETWEEN ‘2019-
04-01' AND ‘2019-04-30'
400% faster
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ATHENA
Arbitrary analytics
Aggregations
Complex queries on big data volumes
Nice for archival log querying
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GLUE
Serverless ETL
Build ETL pipelines with Scala or Python
Shape data for analytics / machine learning
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SAGEMAKER
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KINESIS STREAMS & ANALYTICS
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Authentication and Authorisation
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ORCHESTRATION STRATEGIES
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EXPLICIT
Lambda AWS Step Functions
Synchronously Invoke other
services
Pay while you wait
Declarative state machine
Pay per transition
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AWS Step Functions
Declarative state machine
Pay per transition
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IMPLICIT
Event-driven
Isolated Steps
Reactive
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EMBRACE THE POWER OF THE CLIENT
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DELEGATION
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API Gateway Service Integration
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API Gateway Service Integration
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FAAS IS NOT THE MOST IMPORTANT THING
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Important Things!
Product
Iteration Speed
Automation – CI/CD
Expendable components
Managed services
Everything that happens after deployment
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One more thing…
Full Stack
Full Test Pyramid
Open Source
CD Pipeline
SLIC Starter
Use it – Contribute – Talk to me! @eoins
Project Structure
Access Control
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THANK YOU!
http://bit.ly/aiservice
@eoins