AWS Lambda Powertools is a developer toolkit to implement Serverless best practices and increase developer velocity. It started as an open-source project in 2020 focused in making Tracing, Logging, and Metrics easier. Fast-forward, Powertools added 13 more features, grew a vibrant community who regularly contributes up to 60% of our releases, now covering a plethora of use cases: REST and GraphQL APIs, Batch processing, Idempotency, Feature Flags, Data Validation, and more. You’ll learn why this developer toolkit was created, key use cases, and find out how you can adopt common industry and AWS best practices in seconds. We’ll also cover two of the most anticipated new features coming in 2023, and live demo(s).

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Serverless Lens in AWS WA Tool

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Serverless Lens in AWS WA Tool
Most common risks

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Findings come in late
Plan/design Build Ship Operate

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Findings come in late
Plan/design Build Ship Operate
Readiness assessment

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Findings come in late
Plan/design Build Ship Operate
Readiness assessment

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Findings come in late
Plan/design Build Ship Operate
Today, let’s fix here

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AWS Lambda Powertools
Logger
Metrics
Tracer
+ Many more
A toolkit to implement
Serverless best practices and
increase developer velocity

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AWS Lambda Powertools
OPS1 solution
OPS 1: How do you evaluate your Serverless application’s health?

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AWS Lambda Powertools
walkthrough
Heitor Lessa (he/him)
Principal Solutions Architect, Developer Acceleration (DevAx)
AWS
@heitor_lessa || lessa@amazon.com

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Agenda
Today Up next

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Today

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Today: Serverless Lens mapping (51%)
Question Practice
SEC 1 Scope access based on identity’s metadata
SEC 2 Design smaller, single-purpose functions
SEC 2 Use temporary credentials between resources and components
SEC 3 Store secrets that are used in your code securely
REL 1 Use mechanisms to protect nonscalable resources
REL 2 Manage transaction, partial, and intermittent failures
REL 2 Manage duplicate and unwanted events
REL 2 Orchestrate long-running transactions
OPS 1 Use distributed tracing, and code is instrumented with additional context
OPS 1 Use structured and centralized logging
OPS 1 Use application, business, and operations metrics
OPS 2 Use infrastructure as code (IaC) and stages isolated in separate environments
OPS 2 Use configuration management
PERF 1 Measure and optimize function startup time
PERF 1 Take advantage of concurrency via async and stream-based function invocations
PERF 1 Optimize access patterns and apply caching where applicable
COST 1 Minimize external calls and function code initialization
COST 1 Optimize logging output and its retention
COST 1 Use cost-aware usage patterns in code
Total 19
Powertools assistance

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Today: Scale in numbers
5 billion 161%
weekly invocations growth YoY

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Today: How did we get here?
Our customers grew
Observability

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Today: How did we get here?
Batch partial failure
REST/GraphQL API
Input/Output validation
Config management
Handling secrets
Idempotency
Observability
BYO middleware
Self-documented schemas Feature flags
Data extraction
Caching
Our customers grew
The community
grew too
~40% came from the community
Streaming

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Today: How did we get here?
Our customers grew
The community
grew too
Data engineers
Developers
Platform eng.
Security eng.
APIs, event-driven architecture
ETL, data validation
Automation, abstractions
AppSec, guardrails

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Today: Languages
Feature parity
Java
Python TypeScript .NET

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Today: Feature Parity Python Java TypeScript .NET
Tracer x x x x
Logger x x x x
Metrics x x x x
Event handler (REST) x
Event handler (GraphQL) x
Idempotency x x
Parameters x x
Batch processing x
Validation x x
Event source data classes x x x
Parser x
Feature flags x
Streaming x
JMESPath (data extraction) x x
Amazon SQS large
message handling
x
Feature parity

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Up next: What the near
future holds

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Amazon CloudWatch
X-Ray
Amazon CloudWatch and AWS X-Ray
Up next
Observability providers

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Up next
Sensitive data masking

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Up next: Long-term
Lambda Powertools Powertools for AWS

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Demo
REST API
Data pipeline
Making critical operations idempotent

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Thank you!
Heitor Lessa (he/him)
@heitor_lessa

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Appendix

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Structured logging

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Structured logging: Recap
Raw Semi-structured Canonical Structured

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Structured logging: Without Powertools
Raw
[INFO] 2022-12-02T22:.. 1c8df7d3… Hello world

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Structured logging: Without Powertools
[INFO] 2022-12-02T22:.. … {“message”: “Hello world”}
Semi
structured

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Structured logging: Without Powertools
Canonical
at=INFO msg=Aha! request_latency=0.1

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Structured logging: Without Powertools
Structured

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Structured logging: Without Powertools
Structured

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Structured logging: Powertools
Structured

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Structured logging: Powertools
Structured

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Structured logging: Powertools
Structured

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Structured logging: Powertools
Structured

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Distributed tracing

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API Gateway Lambda Fargate
DynamoDB
API Gateway
S3 bucket
Distributed tracing: Recap

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Trace
API Gateway Lambda Fargate
DynamoDB
API Gateway
S3 bucket
Distributed tracing: Recap
Legend

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Trace
API Gateway Lambda Fargate
DynamoDB
API Gateway
S3 bucket
Distributed tracing: Recap
Legend
Segment

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Trace
API Gateway Lambda Fargate
DynamoDB
API Gateway
S3 bucket
Distributed tracing: Recap
Legend
Segment
Sub-segment

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Trace
API Gateway Lambda Fargate
DynamoDB
API Gateway
S3 bucket
Distributed tracing: Recap
Legend
Segment
Sub-segment
Type Key Value Namespace
Annotation UserId a1c8k...
Metadata Cart {….} Checkout
Trace metadata

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Distributed tracing: Without Powertools
Tracing

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Distributed tracing: Without Powertools
Tracing

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Distributed tracing: Without Powertools
Tracing

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Distributed tracing: Without Powertools
Tracing

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Distributed tracing: Without Powertools
Tracing

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Distributed tracing: Without Powertools
Tracing

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Distributed tracing: Powertools
Tracing

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© 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Metrics

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Metrics: Recap
Namespace
Metric
Unit
Dimensions
Metrics

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Metrics: Without Powertools
Metrics

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Metrics: Powertools
Metrics

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Metrics: Powertools
Metrics

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Metrics: Powertools
Metrics

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Lambda Powertools: Humble beginnings
Recap