Serverless Architecture Patterns - Manoj Ganapathi - Serverless Summit

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-- Presented in Serverless Summit 2017 - www.inserverless.com -- The earlier sessions at this conference covered development scenarios & operations, frameworks/platforms, and technology applications. In this session, I'll tie them together to provide a perspective on architectures and patterns for serverless. I'll cover how serverless compute can be used as glue or backend, legacy API proxy, or do real-time processing. Further, I'll discuss how serverless can be employed for web applications, batch processing, stream processing and event-driven automation, at a high level.

CodeOps Technologies
Serverless Architecture
Patterns
Manoj Ganapathi
Chief Architect, CodeOps
manoj@codeops.tech
@manojgr

Serverless: Core Principles
❖ Functions are the unit of deployment and scale
❖ Use Serverless to solve specific problems, not every application can
be written as Serverless.
❖ Keep your functions Stateless – use cloud storage for WIP state
❖ Functions should:
❖ “Do One Thing”– Single Responsibility Principle
❖ Be Idempotent
❖ Finish as fast as possible
“Rethink your application as an orchestra of
autonomous functions”

Architectures
•Compute as a
Backend
•Real-time
Processing
•Compute as a glue
•Hybrid
•Proxy
Use Cases
•App Backend
•Data Pipelines
•Bots and Skills
•Legacy API Proxy
•Scheduled/Event
Driven services
•Stream Processing
Patterns
•Messaging
•Command
•Pipes and Filter
•Fan Out
•Priority Queue
Reference: Serverless Architectures on AWS

Messaging and Command
• Decouple services by introducing a queue
• Typically in asynchronous messaging in web apps and services to take the
load off the application
• Also shows the Command pattern (encapsulated implementation for a
standard interface)
Reference: Serverless Architectures on AWS

Fan Out
• Topic-Subscription scenario.
• For e.g: Once a video is uploaded, you may want to encode them in
multiple formats in parallel and also transcribe
Reference: Serverless Architectures on AWS

Pipes and Filter
• To manage a sequential series of tasks – like a data pipeline
• Functions can work as a pipe (connector) or a filter (transformation)
Reference: Serverless Architectures on AWS

Appendix AWS Lambda and Azure
Functions examples

AWS: Web Applications
https://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-serverless-
architectural-patterns-and-best-practices-arc402

AWS: Batch Processing
https://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-serverless-
architectural-patterns-and-best-practices-arc402

AWS: Stream Processing
https://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-serverless-
architectural-patterns-and-best-practices-arc402

Azure Functions: Stream Processing
https://www.slideshare.net/satonaoki/serverless-patterns-with-azure-functions

Azure Functions: Managing Dialog
responses in Chatbots
https://www.slideshare.net/satonaoki/serverless-patterns-with-azure-functions

Azure Functions: Integration and Web
API
https://www.slideshare.net/ServerlessConf/chris-anderson-and-yochay-
kiriaty-serverless-patterns-with-azure-functions

AWS: Event Driven Automation
https://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-serverless-
architectural-patterns-and-best-practices-arc402

Azure Functions: Service Event
Processing
https://www.slideshare.net/satonaoki/serverless-patterns-with-azure-functions

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In the ever-evolving landscape of technology, enterprise software development is undergoing a significant transformation. Traditional coding methods are being challenged by innovative no-code solutions, which promise to streamline and democratize the software development process. This shift is particularly impactful for enterprises, which require robust, scalable, and efficient software to manage their operations. In this article, we will explore the various facets of enterprise software development with no-code solutions, examining their benefits, challenges, and the future potential they hold.

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1. CodeOps Technologies Serverless Architecture Patterns Manoj Ganapathi Chief Architect, CodeOps manoj@codeops.tech @manojgr

2. Serverless: Core Principles ❖ Functions are the unit of deployment and scale ❖ Use Serverless to solve specific problems, not every application can be written as Serverless. ❖ Keep your functions Stateless – use cloud storage for WIP state ❖ Functions should: ❖ “Do One Thing”– Single Responsibility Principle ❖ Be Idempotent ❖ Finish as fast as possible “Rethink your application as an orchestra of autonomous functions”

3. Architectures •Compute as a Backend •Real-time Processing •Compute as a glue •Hybrid •Proxy Use Cases •App Backend •Data Pipelines •Bots and Skills •Legacy API Proxy •Scheduled/Event Driven services •Stream Processing Patterns •Messaging •Command •Pipes and Filter •Fan Out •Priority Queue Reference: Serverless Architectures on AWS

4. Key Patterns

5. Messaging and Command • Decouple services by introducing a queue • Typically in asynchronous messaging in web apps and services to take the load off the application • Also shows the Command pattern (encapsulated implementation for a standard interface) Reference: Serverless Architectures on AWS

6. Fan Out • Topic-Subscription scenario. • For e.g: Once a video is uploaded, you may want to encode them in multiple formats in parallel and also transcribe Reference: Serverless Architectures on AWS

7. Pipes and Filter • To manage a sequential series of tasks – like a data pipeline • Functions can work as a pipe (connector) or a filter (transformation) Reference: Serverless Architectures on AWS

8. Appendix AWS Lambda and Azure Functions examples

9. AWS: Web Applications https://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-serverless- architectural-patterns-and-best-practices-arc402

10. AWS: Batch Processing https://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-serverless- architectural-patterns-and-best-practices-arc402

11. AWS: Stream Processing https://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-serverless- architectural-patterns-and-best-practices-arc402

12. Azure Functions: Stream Processing https://www.slideshare.net/satonaoki/serverless-patterns-with-azure-functions

13. Azure Functions: Managing Dialog responses in Chatbots https://www.slideshare.net/satonaoki/serverless-patterns-with-azure-functions

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16. Azure Functions: Service Event Processing https://www.slideshare.net/satonaoki/serverless-patterns-with-azure-functions

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