Debugging AWS Lambda Performance Issues

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One of the most common performance issues in serverless architectures is elevated latencies from external services, such as DynamoDB, ElasticSearch or Stripe. In this webinar, we will focus on how to monitor, detect and fix latency issues that arise when our Lambda functions need to talk to other services.

Technologie

Yan Cui
http://theburningmonk.com
@theburningmonk
Developer Advocate @
Independent Consultant
AWS user since 2009
since 2018
yan@lumigo.io

Aviad Mor
@aviadmor
Co-Founder & CTO @
aviad@lumigo.io

observation
majority of performance problems originates from a function’s integration points

macro
how well is this service performing in general?
micro
why did this transaction perform poorly?

macro
how well is this service performing in general?
micro
why did this transaction perform poorly?
identify systemic
issues

macro
how well is this service performing in general?
micro
why did this transaction perform poorly?
why did this user
get a bad exp?

In control theory, observability is a measure of how well
internal states of a system can be inferred from knowledge
of its external outputs.

In control theory, observability is a measure of how well
internal states of a system can be inferred from knowledge
of its external outputs.
what do we need
to collect?

API Gateway Lambda DynamoDBhow long did this
req take?

API Gateway API GatewayLambda Lambda DynamoDB
Service A Service B

API Gateway API GatewayLambda Lambda DynamoDB
Service A Service B
how long did service
B took to respond?

API Gateway API GatewayLambda Lambda DynamoDB
Service A Service B
how long did service
B took to respond?
was DynamoDB slow?
was it a cold start?
could it be API
Gateway?

How do we collect these external output to help us infer the
application’s internal state to debug performance issues?

log them manually
turn these into metrics
using Metric Filter

API Gateway Lambda
GET /
Lambda
POST
/restaurants/search
API Gateway Lambda
GET /
get-index get-restaurants
search-restaurants
DynamoDB
EventBridge Lambda
notify-restaurant
Lambda
place-order
POST /order
SNS

github.com/theburningmonk/debugging-lambda-perf-issues-demo

@theburningmonk
theburningmonk.com
github.com/theburningmonk
yan@lumigo.io

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Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.

IAC 2024 - IA Fast Track to Search Focused AI Solutions

Enterprise Knowledge

Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

Enterprise Knowledge

Slack Application Development 101 Slides

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Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engine’s CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia

A Year of the Servo Reboot: Where Are We Now?

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GenCyber Cyber Security Day Presentation

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CNv6 Instructor Chapter 6 Quality of Service

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MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.

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[2024]Digital Global Overview Report 2024 Meltwater.pdf

IAC 2024 - IA Fast Track to Search Focused AI Solutions

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

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A Year of the Servo Reboot: Where Are We Now?

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Debugging AWS Lambda Performance Issues

1. Debugging AWS Lambda Performance Issues

2. Yan Cui http://theburningmonk.com @theburningmonk Developer Advocate @ Independent Consultant AWS user since 2009 since 2018 yan@lumigo.io

3. Aviad Mor @aviadmor Co-Founder & CTO @ aviad@lumigo.io

7. observation majority of performance problems originates from a function’s integration points

8. macro how well is this service performing in general? micro why did this transaction perform poorly?

9. macro how well is this service performing in general? micro why did this transaction perform poorly? identify systemic issues

10. macro how well is this service performing in general? micro why did this transaction perform poorly? why did this user get a bad exp?

11. In control theory, observability is a measure of how well internal states of a system can be inferred from knowledge of its external outputs.

12. In control theory, observability is a measure of how well internal states of a system can be inferred from knowledge of its external outputs. what do we need to collect?

13. API Gateway Lambda DynamoDB

14. API Gateway Lambda DynamoDBhow long did this req take?

15. what is the state of the world?

16. In control theory, observability is a measure of how well internal states of a system can be inferred from knowledge of its external outputs. what are the most important outputs to collect?

17. macro how well is this service performing in general? micro why did this transaction perform poorly?

18. API Gateway API GatewayLambda Lambda DynamoDB Service A Service B

19. API Gateway API GatewayLambda Lambda DynamoDB Service A Service B how long did service B took to respond?

20. API Gateway API GatewayLambda Lambda DynamoDB Service A Service B how long did service B took to respond? was DynamoDB slow? was it a cold start? could it be API Gateway?

21. How do we collect these external output to help us infer the application’s internal state to debug performance issues?

22. log them manually

23. log them manually turn these into metrics using Metric Filter

24. Embedded Metric Format (EMF)

25. intercept all HTTP requests

26. X-Ray

27. Lumigo

28. DEMO!

29. API Gateway Lambda GET / Lambda POST /restaurants/search API Gateway Lambda GET / get-index get-restaurants search-restaurants DynamoDB EventBridge Lambda notify-restaurant Lambda place-order POST /order SNS

30. github.com/theburningmonk/debugging-lambda-perf-issues-demo

31. get 15% off

32.

33. @theburningmonk theburningmonk.com github.com/theburningmonk yan@lumigo.io

Debugging AWS Lambda Performance Issues

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