The document outlines the agenda for the ServerlessToronto meetup on March 26, 2019. The agenda includes an introduction and activity update, community open mic, two guest speakers - Bhavana Srinivas from Netlify speaking on static sites, and Mark McQuade from Onica speaking on building a transcription and sentiment analysis pipeline for call center recordings using AWS services. The meetup will conclude with a networking session. Manning Publications is also sponsoring the event and providing various books and videos as giveaways.

1. Tuesday, Mar 26, 2019
1. Intro & Activity Update
2. Community Open Mic
3. Bhavana Srinivas, Netlify: "Doing more
with Static Sites"
4. Mark McQuade, Onica: "Transcription
and Sentiment Analysis Pipeline for Call
Centre Recordings“
5. Networking
1
ServerlessToronto.org Meetup Agenda

2. Manning Publications 2019 giveaways:
1. www.manning.com/books/serverless-applications-with-nodejs
2. www.manning.com/livevideo/production-ready-serverless
3. www.manning.com/livevideo/production-ready-serverless
4. www.manning.com/livevideo/serverless-applications-with-AWS
5. www.manning.com/livevideo/serverless-applications-with-AWS
6. www.manning.com/books/serverless-architectures-on-aws
7. www.manning.com/books/http2-in-action
8. www.manning.com/books/event-streams-in-action
9. www.manning.com/books/the-design-of-everyday-apis
10. www.manning.com/livevideo/graphql-in-motion
11. www.manning.com/books/voice-applications-for-alexa-and-google-assistant
12. www.manning.com/livevideo/machine-learning-for-mere-mortals
13. www.manning.com/books/classic-computer-science-problems-in-python
2

3. ● A single pane of glass for testing & debugging & monitoring your serverless stack.
● Discover issues in serverless architectures visually.
● Test and make sure to deploy to production on Friday 6PM.
● Analyze performance issues and pinpoint bottlenecks.
● Discover root cause of errors and latencies
● Gather performance metrics for your serverless transactions with distributed tracing
● Add as a Layer and instrument with no code change.
● Support for Node.js, Python, Java, Golang, .NET
● Your serverless monitoring data on your favorite platform: Integrate with Splunk, Honeycomb, and ELK
Detect, Debug, Monitor serverless
architectures with Thundra

4. Screenshots

5. ● How Thundra discover the root cause
○ https://youtu.be/jEctnLfbTTs
● Play with the demo:
○ https://demo.thundra.io/functions/default
● Thundra has a free tier:
○ https://console.thundra.io/signup
● Read our blog:
○ https://medium.com/thundra
Learn more
www.thundra.io
@thundraio
@thundra
info@thundra.com

6. Community Open Mic
1
10 seconds of freedom
to pitch yourself, or
your company

7. Doing more with Static Sites

8. Courtesy: https://scotch.io/bar-talk/5-reasons-static-
sites-rock

10. JAMstack

12. Courtesy: https://builtvisible.com/go-static-try-
jamstack/
Pre-build your site

13. But why?

14. Performance
Security
Scale

16. But…. is static enough?

18. Functions

19. Functions Workflow
Any Git Vendor

20. Demo

21. Ease of use

22. Tools and starting points..
● Netlify Lambda CLI
● Function Logs
● https://functions.netlify.com/
● React app + Lambda
● Go Lambda functions
● Event driven functions
● Security for functions
● Customize..

23. ONICA.COM PREMIER CONSULTNG PARTNER
Transcription and Sentiment
Analysis Pipeline for Call
Centre Recordings

24. ©2018 ONICAONICA.COM
About Mark McQuade
• Solutions Architect at Onica
• Telephony background for 15 years

25. ©2018 ONICAONICA.COM
About Onica

26. ©2018 ONICAONICA.COM
Contact Center Pain Points
• Cost of manual transcription
• Its not real-time
• Manual process limits the amount of calls that can we QA’d
• Simple transcription isn’t enough
• Need to recognize black-listed words
• Split agent and caller audio
• Pulling key words from calls

27. ©2018 ONICAONICA.COM
Customer Use Case
• Wanted contact centre audio files transcribed - speech to text
• Currently sending to Philippines for manual transcription only - no
sentiment analysis being performed currently
• Didn’t want to manage infrastructure
• Cost was a major factor
• Wanted end-to-end solution
• Wanted ability to extract key words

28. ©2018 ONICAONICA.COM
The Solution
• Amazon Transcribe
• Amazon S3
• Amazon Comprehend
• AWS Lambda
• AWS Step Functions
• Amazon Connect

29. ©2018 ONICAONICA.COM
Analysis
• Amazon Athena
• AWS Glue
• Amazon Quicksight

30. ©2018 ONICAONICA.COM
Application Architecture

31. ©2018 ONICAONICA.COM
Application Architecture - Cont.

32. ©2018 ONICAONICA.COM
Alternate Analysis
• Amazon Elasticsearch
• Kibana for Visualization

33. ©2018 ONICAONICA.COM
Amazon Transcribe

34. ©2018 ONICAONICA.COM
Amazon Transcribe

35. ©2018 ONICAONICA.COM
Amazon Transcribe

36. ©2018 ONICAONICA.COM
Amazon Comprehend

37. ©2018 ONICAONICA.COM
Amazon Comprehend

38. ©2018 ONICAONICA.COM
Amazon Comprehend

39. ©2018 ONICAONICA.COM
Amazon Quicksight

40. ©2018 ONICAONICA.COM
Kibana

41. ©2018 ONICAONICA.COM
Kibana

42. ©2018 ONICAONICA.COM
Worth Mentioning
• Amazon Lex
• Front end contact center calls
• Removes need for manual upfront
diagnosis of calls
• Add’s a very powerful tool to your
contact center work flows.

43. ©2018 ONICAONICA.COM
Get Help - Don’t go it alone
https://aws.amazon.com/canada/AWS-Canada-Partners/
mmcquade@onica.com
www.linkedin.com/in/mark-mcquade

44. Join www.ServerlessToronto.org
Home of “Less IT Mess”