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Using Serverless Architectures to
build and provision modern
infrastructures
Ramit Surana
@ramitsurana
/in/ramitsurana
Agenda
• Introduction to AWS Lambda
• Serverless Architecture
• Demo
• Architecture
• Chalice
• Monitoring
• API Perfomance and Measurements
• Learningz
• Useful Services
• Other Options
What comes to mind ?
Introduction to AWS Lambda
• Service based on docker
containers
• Also called Function as a Service
• Available in Node.js (JavaScript),
Python, Java (Java 8 compliant)
and C # (.NET Core), and Go.
• Cost Involved:
- First 1 million requests free
- $0.20 per 1 million requests
Serverless Architectures
• Distribution of API Calls into
Functions
• Usage of external services from
cloud to allocate data
• Pay as you go model
@Copyright by Martin Fowler
Demo Time !
Architecture
Website
API Gateway
S3 DynamoDB/RDS/ElasticacheLex
Website Data
Chalice
• Integrates well with other AWS
Services
• Can deploy using chalice deploy
• Built using Python
• Other Frameworks are
Serverless (JAWS), Zappa etc
Monitoring
• Individual Lambda can be
monitored only for last 24 hrs
• Use AWS Services like
CloudWatch & CloudTrail
• IOPipe
• Datadog
API Performance Measurements
• Jmeter
• Use of Curl
Other Options
• Azure Functions
• GCP Functions
• Oracle Cloud Functions
• OpenWhisk
• Iron.io
• Webtask.io
• Nuclio
Learnings
Pros
• Serverless is really powerful !
• Great Performance
• Highly Scalable
• Low Cost
• Stateless
Cons
• Monitoring and Debugging is
hard
• Lack of Fine Grained Control
• Cold start issues
• Timeout Issues
• Vendor Lock-In
References
• Chalice - https://github.com/aws/chalice
• SAM - https://github.com/awslabs/serverless-application-model
• Python-lambda - https://github.com/nficano/python-lambda
• AWS Lambda - https://aws.amazon.com/de/lambda/features/
• Jmeter - https://jmeter.apache.org/
• Cloudwatch - https://aws.amazon.com/de/cloudwatch/
• FaaS - https://martinfowler.com/articles/serverless.html
• https://github.com/ramitsurana/the-serverless-stuff
Thank You for joining :)

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Using Serverless Architectures to build and provision modern infrastructures​

  • 1. Using Serverless Architectures to build and provision modern infrastructures Ramit Surana @ramitsurana /in/ramitsurana
  • 2. Agenda • Introduction to AWS Lambda • Serverless Architecture • Demo • Architecture • Chalice • Monitoring • API Perfomance and Measurements • Learningz • Useful Services • Other Options
  • 3. What comes to mind ?
  • 4. Introduction to AWS Lambda • Service based on docker containers • Also called Function as a Service • Available in Node.js (JavaScript), Python, Java (Java 8 compliant) and C # (.NET Core), and Go. • Cost Involved: - First 1 million requests free - $0.20 per 1 million requests
  • 5. Serverless Architectures • Distribution of API Calls into Functions • Usage of external services from cloud to allocate data • Pay as you go model @Copyright by Martin Fowler
  • 8. Chalice • Integrates well with other AWS Services • Can deploy using chalice deploy • Built using Python • Other Frameworks are Serverless (JAWS), Zappa etc
  • 9. Monitoring • Individual Lambda can be monitored only for last 24 hrs • Use AWS Services like CloudWatch & CloudTrail • IOPipe • Datadog
  • 10. API Performance Measurements • Jmeter • Use of Curl
  • 11. Other Options • Azure Functions • GCP Functions • Oracle Cloud Functions • OpenWhisk • Iron.io • Webtask.io • Nuclio
  • 12. Learnings Pros • Serverless is really powerful ! • Great Performance • Highly Scalable • Low Cost • Stateless Cons • Monitoring and Debugging is hard • Lack of Fine Grained Control • Cold start issues • Timeout Issues • Vendor Lock-In
  • 13. References • Chalice - https://github.com/aws/chalice • SAM - https://github.com/awslabs/serverless-application-model • Python-lambda - https://github.com/nficano/python-lambda • AWS Lambda - https://aws.amazon.com/de/lambda/features/ • Jmeter - https://jmeter.apache.org/ • Cloudwatch - https://aws.amazon.com/de/cloudwatch/ • FaaS - https://martinfowler.com/articles/serverless.html • https://github.com/ramitsurana/the-serverless-stuff
  • 14. Thank You for joining :)