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Serverless Computing

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Rushi Namani
Rushi Namani

For Graduates Technical Seminars. and its a combination of all open source tools which is used to Serverless Computing, in this, I concluded

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© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Introduction To Serverless Computing & Aws Lambda, Apache OpenWhisk Rushanth.Namani (14N61A0568) Source: Amazon
What is serverless? ”Serverless Computing is a cloud execution ,model in Which the cloud provider dynamically manages the allocation of machine resources. Pricing is based on the actual amount of resources consumed by an application.”
Advantages Of Serverless Computing Physical Servers Datacenters Virtual Servers Datacenters Virtual Servers in the cloud ∙ Higher utilization ∙ Faster provisioning speed ∙ Improved uptime ∙ Disaster recovery ∙ Hardware independence ∙ Trade CAPEX for OPEX ∙ More scale ∙ Elastic resources ∙ Faster speed and agility ∙ Reduced maintenance ∙ Better availability and fault tolerance
limitations Physical Servers Datacenters Virtual Servers Datacenters ∙ Trade CAPEX for OPEX ∙ More scale ∙ Elastic resources ∙ Faster speed and agility ∙ Reduced maintenance ∙ Better availability and fault tolerance ∙ Still need to administer virtual servers ∙ Still need to manage capacity and utilization ∙ Still need to size workloads ∙ Still need to manage availability, fault tolerance ∙ Still expensive to run intermittent jobs Virtual Servers in the cloud © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Evolving to serverless SERVERLESS Virtual servers in the cloud Physical servers in datacenters Virtual servers in datacenters © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Serverless with AWS Lambda © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Deliver on demand, never pay for idle EVENT DRIVEN CONTINUOUS SCALING PAY BY USAGE © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
What does Serverless mean? No servers to provision or manage Scale with your usage Built in availability and fault-tolerance Never pay for idle/unused capacity
Serverless runs on functions • Functions are the unit of deployment and scale • This scales per request! © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
How it works?
Using AWS Lambda Bring your own code • Node.js, Java, Python, C# • Bring your own libraries (even native ones) Flexible use • Synchronous or asynchronous • Integrated with other AWS services Simple resource model • Select accesability rating from 128 MB to 1-.5 GB • CPU and network allocated proportionately Flexible authorization • Securely grant access to resources and VPCs • Fine-grained control for invoking your functions
Using AWS Lambda Authoring functions • WYSIWYG editor or upload packaged .zip • Third-party plugins (Eclipse, Visual Studio) Programming model • Use processes, threads, /tmp, sockets normally • AWS SDK built in (Python and Node.js) Monitoring and logging • Metrics for requests, errors, and throttles • Built-in logs to Amazon CloudWatch Logs Stateless • Persist data using external storage • No affinity or access to underlying infrastructure
Example event sources Data stores Endpoints Configuration repositories Event/message sources Amazon S3 Amazon DynamoDB Amazon Kinesis Amazon Cognito Amazon IoT AWS Step Functions Amazon Alexa Amazon API Gateway AWS AWS AWS Amazon Amazon SES Amazon SNS Cron events Cloudformatio n CloudTrail CodeCommit CloudWatch …and more!
#1: 3-Tier Web Application © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
3-Tier web application Amazon API Dynamic content Data stored in Gateway in AWS Lambda Amazon DynamoDB Browser Amazon CloudFront Amazon S3 Browser Amazon CloudFront Amazon S3 Amazon API Gateway © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Dynamic content in AWS Lambda Data store in Amazon DynamoDB
Serverless web app lifecycle management • AWS SAM (Serverless Application Model) - blog AWS Lambda Amazon API Gateway AWS CloudFormation Amazon S3 Amazon DynamoDB Package & Deploy Code/Packages/Swagger Serverless Template Serverless Template w/ CodeUri package deploy CI/CD Tools © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
“Apache OpenWhisk is a serverless, open source cloud platform that executes functions in response to events without developer concern for managing the lifecycle or operations of the containers that execute the code.” (via Apache) Supported runtimes: Node.js, Python, PHP, Swift and Docker Deployment: On-premises or in the cloud Apache OpenWhisk
Serverless Supported runtimes: Node.js, Python, PHP, Swift and Docker Development Local development via standard tooling and IDEs Web tooling provided by cloud providers Orchestration via Composer
Summary Use Serverless for ... Variable and irregular loads (can lead to lower costs) Developer productivity for first time experience Inherent auto-scalability Use AWS for ... Mature deployment options, e.g. testing, monitoring Minimal response latency High performance computing without resource restrictions
Lambda ? Lambda is stateless → architect accordingly! • Assume no affinity with underlying compute infrastructure • Local filesystem and child processes may not extend beyond the lifetime of the Lambda request © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Thank You..
Any Queries contact : rushi.namani2@gmail.co m

More Related Content

Serverless Computing

  • 1. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Introduction To Serverless Computing & Aws Lambda, Apache OpenWhisk Rushanth.Namani (14N61A0568) Source: Amazon
  • 2. What is serverless? ”Serverless Computing is a cloud execution ,model in Which the cloud provider dynamically manages the allocation of machine resources. Pricing is based on the actual amount of resources consumed by an application.”
  • 3. Advantages Of Serverless Computing Physical Servers Datacenters Virtual Servers Datacenters Virtual Servers in the cloud ∙ Higher utilization ∙ Faster provisioning speed ∙ Improved uptime ∙ Disaster recovery ∙ Hardware independence ∙ Trade CAPEX for OPEX ∙ More scale ∙ Elastic resources ∙ Faster speed and agility ∙ Reduced maintenance ∙ Better availability and fault tolerance
  • 4. limitations Physical Servers Datacenters Virtual Servers Datacenters ∙ Trade CAPEX for OPEX ∙ More scale ∙ Elastic resources ∙ Faster speed and agility ∙ Reduced maintenance ∙ Better availability and fault tolerance ∙ Still need to administer virtual servers ∙ Still need to manage capacity and utilization ∙ Still need to size workloads ∙ Still need to manage availability, fault tolerance ∙ Still expensive to run intermittent jobs Virtual Servers in the cloud © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
  • 5. Evolving to serverless SERVERLESS Virtual servers in the cloud Physical servers in datacenters Virtual servers in datacenters © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
  • 6. Serverless with AWS Lambda © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
  • 7. Deliver on demand, never pay for idle EVENT DRIVEN CONTINUOUS SCALING PAY BY USAGE © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
  • 8. What does Serverless mean? No servers to provision or manage Scale with your usage Built in availability and fault-tolerance Never pay for idle/unused capacity
  • 9. Serverless runs on functions • Functions are the unit of deployment and scale • This scales per request! © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
  • 11. Using AWS Lambda Bring your own code • Node.js, Java, Python, C# • Bring your own libraries (even native ones) Flexible use • Synchronous or asynchronous • Integrated with other AWS services Simple resource model • Select accesability rating from 128 MB to 1-.5 GB • CPU and network allocated proportionately Flexible authorization • Securely grant access to resources and VPCs • Fine-grained control for invoking your functions
  • 12. Using AWS Lambda Authoring functions • WYSIWYG editor or upload packaged .zip • Third-party plugins (Eclipse, Visual Studio) Programming model • Use processes, threads, /tmp, sockets normally • AWS SDK built in (Python and Node.js) Monitoring and logging • Metrics for requests, errors, and throttles • Built-in logs to Amazon CloudWatch Logs Stateless • Persist data using external storage • No affinity or access to underlying infrastructure
  • 13. Example event sources Data stores Endpoints Configuration repositories Event/message sources Amazon S3 Amazon DynamoDB Amazon Kinesis Amazon Cognito Amazon IoT AWS Step Functions Amazon Alexa Amazon API Gateway AWS AWS AWS Amazon Amazon SES Amazon SNS Cron events Cloudformatio n CloudTrail CodeCommit CloudWatch …and more!
  • 14. #1: 3-Tier Web Application © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
  • 15. 3-Tier web application Amazon API Dynamic content Data stored in Gateway in AWS Lambda Amazon DynamoDB Browser Amazon CloudFront Amazon S3 Browser Amazon CloudFront Amazon S3 Amazon API Gateway © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Dynamic content in AWS Lambda Data store in Amazon DynamoDB
  • 16. Serverless web app lifecycle management • AWS SAM (Serverless Application Model) - blog AWS Lambda Amazon API Gateway AWS CloudFormation Amazon S3 Amazon DynamoDB Package & Deploy Code/Packages/Swagger Serverless Template Serverless Template w/ CodeUri package deploy CI/CD Tools © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
  • 17. “Apache OpenWhisk is a serverless, open source cloud platform that executes functions in response to events without developer concern for managing the lifecycle or operations of the containers that execute the code.” (via Apache) Supported runtimes: Node.js, Python, PHP, Swift and Docker Deployment: On-premises or in the cloud Apache OpenWhisk
  • 18. Serverless Supported runtimes: Node.js, Python, PHP, Swift and Docker Development Local development via standard tooling and IDEs Web tooling provided by cloud providers Orchestration via Composer
  • 19. Summary Use Serverless for ... Variable and irregular loads (can lead to lower costs) Developer productivity for first time experience Inherent auto-scalability Use AWS for ... Mature deployment options, e.g. testing, monitoring Minimal response latency High performance computing without resource restrictions
  • 20. Lambda ? Lambda is stateless → architect accordingly! • Assume no affinity with underlying compute infrastructure • Local filesystem and child processes may not extend beyond the lifetime of the Lambda request © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
  • 22. Any Queries contact : rushi.namani2@gmail.co m