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DevTalks Romania - Getting Started with AWS Lambda & the Serverless Cloud
This document outlines AWS Lambda, a serverless computing platform that allows users to execute code in response to events without managing servers. It discusses the benefits of AWS Lambda, including pay-per-request pricing, flexible resource allocation, and integration with other AWS services, as well as various use cases like real-time processing and mobile backend solutions. Additional features include monitoring, logging, and the ability to customize serverless workflows and data processing using Amazon S3 and Amazon Kinesis.
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DevTalks Romania - Getting Started with AWS Lambda & the Serverless Cloud
- 1. Getting started withAWS Lambda & the Serverless Cloud Ian Massingham Chief Evangelist (EMEA), AWS [email protected] @IanMmmm
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- 4. Pay-per request • Buycompute time in 100 ms increments • Low request charge • No hourly, daily, or monthly minimums • No per-device fees Never pay for idle! Free Tier 1 million requests and 400,000 GBs of compute every month, for every customer
- 5. Using AWS Lambda Bringyour own code • Node.js, Java, Python, C# • Bring your own libraries (even native ones) Simple resource model • Select power rating from 128 MB to 1.5 GB • CPU & network allocated proportionately • Metrics provide actual usage Flexible authorization • Securely grant access to resources, including VPCs • Fine-grained control over who can call your functions Flexible use • Call or send events • Integrated with other AWS services • Build whole serverless ecosystems
- 6. Using AWS Lambda Programmingmodel • AWS SDK built in • Lambda is the front end • Use processes, threads, / tmp, sockets normally Stateless • Persist data using Amazon S3, ElastiCache, RDS or non- relational databases • No affinity to infrastructure (can’t “log in to the box”) Authoring functions • Author directly using the console WYSIWYG editor • Package code as a .zip and upload to Lambda or S3 • Plugins for Eclipse and Visual Studio • Command line tools Monitoring and logging • Built-in metrics for requests, errors, latency, and throttles • Built-in logs in Amazon CloudWatch Logs
- 7. Key usage scenarios DataTriggers Customise behaviour on data updates in S3, SNS & more Control systems Customize responses and response workflows to state changes within AWS Serverless backends Execute server side backend logic in a cross platform fashion Big data Realtime processing of streaming data updates using Kinesis
- 8. DEMO : AWSCodeStar + AWS Lambda for Serverless Web Apps
- 9. Features of AWSCodeStar ✓ Project Templates ✓ Team Access Management with AWS IAM ✓ Managed Build Service with AWS Code Build ✓ Unified Project Dashboard using Amazon CloudWatch monitoring service ✓ Issue tracking and project management tool in dashboard via integrated Atlassian JIRA Software ✓ AWS CodeCommit for Secure Hosted Git Repository ✓ Automated App Deployments with AWS CodeDeploy and AWS CloudFormation ✓ Integration of AWS CodePipeline for Automated Continuous Delivery Pipeline
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- 11. Dynamic data ingestionusing S3+Lambda Amazon S3 AWS Lambda processes the object Amazon S3 New object uploaded Amazon DynamoDB Stores processed object to S3 Updates filemetadata toDynamoDB
- 12. Customers running S3+Lambdapipelines AWS Lambda Indexing tables or notifications Apply custom logic to process content being uploaded into Amazon S3 • Watermarking / thumbnail creation • Transcoding • Indexing and de-duplication • Aggregation and filtering • Pre processing • Content validation • WAF updates Amazon S3 Bucket Events Processed files
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- 14. Real time streamprocessing with Kinesis+Lambda Amazon Kinesis AWS Lambda processes the stream Amazon CloudWatch Logs Amazon SNS Compress data & dump to CW -Logs Filter data andalert SNS onmatch New data available
- 15. Customers using real-timeprocessing pipelines AWS Lambda Aggregate statistics Real-time analytics Kinesis Stream Apply custom logic to process data being uploaded through Kinesis stream • Client activity tracking • Metrics generation • Data cleansing • Log filtering • Indexing and searching • Log routing • Live alarms and notifications
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- 17. An API CallFlow Internet Mobile Apps Websites Services AWS Lambda functions AWS API Gateway Cache Endpoints on Amazon EC2 Any other publicly accessible endpointAmazon CloudWatch Monitoring Amazon CloudFront Amazon API Gateway
- 18. Lambda + Cognito& Mobile Apps
- 19. Building Mobile Backendswith Lambda • Lambda as the backend logic for mobile applications. • Easy Personalization – … for devices – … for end users
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- 22. Scheduled Event (CRON) •Dev/QA Environments: Stop running instances at 19:00 h and Start it again at 8:00 between Monday to Friday. • Log cleanup • Batching up statistics • Alarm clock • Infrastructure automation • Backup scheduler
- 23. Backup and DisasterRecovery • Cross-region replication to multiple regions. • Off-site backups. • Validation of those backups is difficult to scale. • Set rules on Lambda that defines what needs to be backup and checks • Validates and raise alarms in case of failure.
- 24. Thank You. Gotquestions? Ian Massingham Chief Evangelist (EMEA), AWS [email protected] @IanMmmm
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