Thinking Asynchronously Full Vesion - Utah UGEric Johnson
The document discusses asynchronous programming with AWS Lambda functions. It provides an example of a translation application built using synchronous and asynchronous approaches. With the synchronous approach, a single Lambda function makes requests to Amazon Translate, Amazon Polly, and writes to DynamoDB and S3 sequentially. The asynchronous approach uses multiple Lambda functions and services like EventBridge and DynamoDB streams to decouple the processing steps. This allows for scaling and fault tolerance. The presentation explores further improving the asynchronous system with additional steps like sentiment analysis.
Choosing the right messaging service for your serverless app [with lumigo]Dhaval Nagar
This document summarizes a presentation about choosing the right messaging service for serverless applications. It discusses serverless and event-driven architectures, and how functions are executed in response to events through messaging services. It then covers the main AWS messaging services: Amazon SQS for message queues, Amazon SNS for publish/subscribe, and Amazon EventBridge for managing events. It provides examples of how these services can be used with Lambda and discusses factors for selecting the appropriate service. Monitoring serverless applications is also discussed.
Serverless needs no introduction these days. It is viewed as a magic recipe for organisations moving to cloud and for those moving beyond the container hell.
LEGO.com was migrated from a legacy monolith eCommerce platform onto serverless on AWS. This employed serverless and managed services at its core within an agile development process. Is early success with serverless a springboard to future possibilities? Does serverless really deliver what it promises?
We will look at how serverless helped in the migration and what can it do to the organisation beyond its initial adoption!
Using AWS Lambda for Infrastructure Automation and BeyondSoftServe
This document provides an overview of AWS Lambda, including its history, supported languages, use cases, performance, pricing, and alternatives. AWS Lambda allows writing code that runs in response to events and automatically manages the computing resources required to run the code. It is useful for tasks like log processing, event stream processing, deployment automation, infrastructure automation, and serverless APIs. The document also includes a demo of using AWS Lambda for infrastructure automation with Route53.
EventBridge is a serverless event bus for AWS that allows building event-driven architectures. It is built on top of CloudWatch Events and extends its capabilities. EventBridge allows consuming events from AWS services, third-party SaaS providers, custom applications, and other AWS accounts. Events pass through event buses where rules match event patterns and route events to targets like Lambda functions or other accounts. This enables loosely coupled architectures and simplifies event processing without a compute layer.
The document provides an overview of a session on serverless development with C# and AWS Lambda. It includes brief introductions to AWS Lambda and .NET Core, demos of new .NET Core Lambda tooling, responding to AWS events, cross-platform development from the command line, and building a serverless application. It also demos using ASP.NET Core to build a serverless web API deployed with AWS Lambda and API Gateway.
Let's Talk About Serverless - Focusing on AWS LambdaOkis Chuang
This document provides an overview of serverless computing using AWS Lambda. It discusses key concepts such as Lambda functions being stateless and event-triggered. Examples are given of using Lambda for various use cases including user registration with DynamoDB and API Gateway. Limitations around resources and retries are also covered. The document concludes with pros and cons of the serverless model and an example of how it could be applied to a security product.
Enterprise Serverless Adoption. An Experience ReportSheenBrisals
This document discusses serverless adoption at The LEGO Group and best practices for sustainable serverless development. It describes how LEGO.com transitioned to serverless, growing from 2 teams in 2018 to over 20 teams in 2022. It also outlines strategies for growing serverless teams, such as appointing pilot engineers and team enablers. The document provides recommendations for performing solution design, security, DevOps, reliability, and cost optimization. Finally, it discusses how to develop sustainable serverless products, processes, and cloud environments through principles like modularity, automation, and right-sizing resources.
Thinking Asynchronously Full Vesion - Utah UGEric Johnson
The document discusses asynchronous programming with AWS Lambda functions. It provides an example of a translation application built using synchronous and asynchronous approaches. With the synchronous approach, a single Lambda function makes requests to Amazon Translate, Amazon Polly, and writes to DynamoDB and S3 sequentially. The asynchronous approach uses multiple Lambda functions and services like EventBridge and DynamoDB streams to decouple the processing steps. This allows for scaling and fault tolerance. The presentation explores further improving the asynchronous system with additional steps like sentiment analysis.
Choosing the right messaging service for your serverless app [with lumigo]Dhaval Nagar
This document summarizes a presentation about choosing the right messaging service for serverless applications. It discusses serverless and event-driven architectures, and how functions are executed in response to events through messaging services. It then covers the main AWS messaging services: Amazon SQS for message queues, Amazon SNS for publish/subscribe, and Amazon EventBridge for managing events. It provides examples of how these services can be used with Lambda and discusses factors for selecting the appropriate service. Monitoring serverless applications is also discussed.
Serverless needs no introduction these days. It is viewed as a magic recipe for organisations moving to cloud and for those moving beyond the container hell.
LEGO.com was migrated from a legacy monolith eCommerce platform onto serverless on AWS. This employed serverless and managed services at its core within an agile development process. Is early success with serverless a springboard to future possibilities? Does serverless really deliver what it promises?
We will look at how serverless helped in the migration and what can it do to the organisation beyond its initial adoption!
Using AWS Lambda for Infrastructure Automation and BeyondSoftServe
This document provides an overview of AWS Lambda, including its history, supported languages, use cases, performance, pricing, and alternatives. AWS Lambda allows writing code that runs in response to events and automatically manages the computing resources required to run the code. It is useful for tasks like log processing, event stream processing, deployment automation, infrastructure automation, and serverless APIs. The document also includes a demo of using AWS Lambda for infrastructure automation with Route53.
EventBridge is a serverless event bus for AWS that allows building event-driven architectures. It is built on top of CloudWatch Events and extends its capabilities. EventBridge allows consuming events from AWS services, third-party SaaS providers, custom applications, and other AWS accounts. Events pass through event buses where rules match event patterns and route events to targets like Lambda functions or other accounts. This enables loosely coupled architectures and simplifies event processing without a compute layer.
The document provides an overview of a session on serverless development with C# and AWS Lambda. It includes brief introductions to AWS Lambda and .NET Core, demos of new .NET Core Lambda tooling, responding to AWS events, cross-platform development from the command line, and building a serverless application. It also demos using ASP.NET Core to build a serverless web API deployed with AWS Lambda and API Gateway.
Let's Talk About Serverless - Focusing on AWS LambdaOkis Chuang
This document provides an overview of serverless computing using AWS Lambda. It discusses key concepts such as Lambda functions being stateless and event-triggered. Examples are given of using Lambda for various use cases including user registration with DynamoDB and API Gateway. Limitations around resources and retries are also covered. The document concludes with pros and cons of the serverless model and an example of how it could be applied to a security product.
Enterprise Serverless Adoption. An Experience ReportSheenBrisals
This document discusses serverless adoption at The LEGO Group and best practices for sustainable serverless development. It describes how LEGO.com transitioned to serverless, growing from 2 teams in 2018 to over 20 teams in 2022. It also outlines strategies for growing serverless teams, such as appointing pilot engineers and team enablers. The document provides recommendations for performing solution design, security, DevOps, reliability, and cost optimization. Finally, it discusses how to develop sustainable serverless products, processes, and cloud environments through principles like modularity, automation, and right-sizing resources.
How LEGO.com Accelerates With ServerlessSheenBrisals
LEGO.com has accelerated innovation using serverless technologies on AWS. They describe how they used AWS Step Functions for parallel processing and failure handling. Amazon EventBridge was used for event-driven architectures and batching feedback events. This allowed for more scalable and reliable systems while reducing costs and maintenance. Moving to a serverless model with feature teams also improved development speed and business agility.
Artificial Intelligence & Machine learning foundation topic in AWS Varun Manik
Varun Kumar is a senior consultant at Deloitte SEA and an AWS APN ambassador. He has over 10 years of experience in DevOps. He holds several AWS certifications and a master's degree in computer science. Some of his responsibilities include leading cloud migrations, building DevOps capabilities, and automating AWS tasks. He regularly conducts training sessions and shares his cloud knowledge.
Workshop : Wild Rydes Takes Off - The Dawn of a New UnicornAmazon Web Services
This document provides an overview of serverless computing and introduces several AWS services that can be used to build serverless applications, including AWS Lambda, Amazon DynamoDB, Amazon API Gateway, Amazon Cognito, and Amazon S3. It then outlines a workshop scenario where participants will build a serverless website for a transportation startup called Wild Rydes using these AWS services. The workshop consists of four labs that incrementally develop the serverless website to host static content, allow email signups, manage an administrative interface, and publish a blog.
The document discusses building voice user interface (VUI) skills that support Amazon Alexa using serverless technologies. It covers skill building fundamentals like registering skills on the Amazon developer portal and using the Alexa Skills Kit. It also discusses key concepts like intents, utterances, slots, requests and responses. The document provides examples of building fact and trivia skills using these concepts and Lambda functions.
Amazon Web Services proporciona una amplia gama de servicios que le ayudarán a crear e implementar aplicaciones de análisis de big data de forma rápida y sencilla. AWS ofrece un acceso rápido a recursos de TI económicos y flexibles, algo que permitirá escalar prácticamente cualquier aplicación de big data con rapidez, incluidos almacenamiento de datos, análisis de clics, detección de elementos fraudulentos, motores de recomendación, proceso ETL impulsado por eventos, informática sin servidor y procesamiento del Internet de las cosas.
Presentation from the developer track at I Love APIs London 2016 featuring Matt McClean, Amazon Web Services.
Developers have been jumping on the microservices bandwagon because of the obvious benefits of faster release cycles and innovation. However, microservices' downside is the increased server costs, operational costs, and performance costs. To reduce this complexity, Amazon Web Services created AWS Lambda - a compute platform that lets you build microservices with no provisioning and servers.
Matt McClean, Solution Architect from AWS, presents how to use AWS Lambda to build your microservices. He covers various architectural patterns and anti-patterns for using AWS Lambda.
SRV209 Introducing Amazon Connect: Create an Amazon Scale Cloud Contact Cent...Amazon Web Services
Utilizing the same technology used worldwide by Amazon Customer Service associates, Amazon Connect is a self-service cloud-based contact center offering from Amazon Web Services. Attend this session and see for yourself how easy it is create your own cloud-based contact center. We’ll show you how to set up contact center flows, manage your agent utilization, and track overall performance of your contact center. Learn how Amazon Connect works with other AWS services, like AWS Lambda, to leverage your existing systems for a personalized customer experience. Join us and walk away knowing how to build a virtual contact center in minutes with Amazon Connect.
Deep Dive on Serverless Web Applications - AWS May 2016 Webinar SeriesAmazon Web Services
This document provides an overview of serverless architectures and how to build a serverless web application. It discusses how serverless applications remove the need for servers by leveraging event-driven compute services like AWS Lambda. The document then breaks down the anatomy of a typical web application and shows how each component maps to a serverless equivalent like API Gateway, Lambda, DynamoDB, S3. It also covers securing the application using AWS IAM, Cognito for authentication and authorization. The presentation includes a demo of a serverless blogging application and discusses other security and authorization options.
Everything fails all the time! A quote repeated by many everyday. How does it feel when things fail in production? How do you recover from such situations? How can you make sure they don’t repeat? All these discussed with real production incidents and the measures taken to mitigate such failures. We will also look at few of the most common failure possibilities in a serverless ecosystem.
Remember, when everything fails all the time, you must learn something everyday to be operational all the time!
This document discusses serverless computing and AWS Lambda. It provides an overview of virtual machines, containers, and serverless/functions as a service. It describes how AWS Lambda works, including how to author functions using various programming languages. It also discusses how to integrate Lambda with other AWS services like API Gateway, Step Functions, S3, DynamoDB and more. It introduces the AWS Serverless Application Repository and AWS SAM for defining serverless applications.
ENT310 Microservices? Dynamic Infrastructure? - Adventures in Keeping Your Ap...Amazon Web Services
Keeping an application running at scale can be a daunting task. When do you need to add more capacity? Larger databases? Additional servers? These questions get harder as the complexity of your application grows. Microservice based architectures and cloud-based dynamic infrastructures are technologies that help you keep your application running with high availability, even during times of extreme scaling. We will discuss some of the best practices we’ve learned working with New Relic customers on how you can manage your applications running at scale, and how technologies such as microservices and dynamic infrastructure can help you with this challenge. This session is brought to you by AWS Summit San Francisco Platinum Sponsor New Relic.
This document provides information on serverless computing platforms from Azure, AWS, and Google. It outlines the supported programming languages and runtimes for each platform's functions as well as common event sources that can trigger function execution, such as S3 buckets, queues, and HTTP requests. It also lists serverless database options and notes that serverless computing allows for automatic scaling of resources and reduced management overhead compared to traditional reserved servers.
AWS re:Invent 2021 was a major cloud computing conference held in December 2021, with over 28,000 attendees across 4 venues and 50 tracks of sessions. The keynotes highlighted 15 years of AWS Cloud and emphasized modernizing applications like mainframes to take advantage of serverless services. New services were announced like Outposts for on-premises AWS capabilities addressing latency and data residency needs. Partner events included a Global Partner Summit and VIP briefings for APN Ambassadors.
You have heard how containers are great for running microservices, but running and managing large scale applications with microservices architectures is hard and often requires operating complex container management infrastructure. So what exactly is needed to get microservices to run in production at scale?
In this session, we will explore the reasoning and concepts behind microservices and how containers simplify building microservices based applications, and we will walk through a number of patterns used by our customers to run their microservices platforms. We will also dive deep into some of the challenges of running microservices, such as load balancing, service discovery, and secrets management, and we’ll see how Amazon EC2 Container Service (ECS) can help address them. We will also demo how you can easily deploy complex microservices applications using Amazon ECS.
The document provides an overview of serverless application development including bundling and deploying functions, continuous integration and delivery, versioning and stages, and monitoring. It discusses using AWS services like Lambda, API Gateway, CodeBuild, CodePipeline, CloudFormation, and CloudWatch for building, deploying, and monitoring serverless applications.
The document discusses serverless architectures and focuses on Node.js, AWS Lambda, and the Serverless Framework. It provides an overview of serverless architectures and their advantages like pay-per-use and easy scaling. It also describes Node.js, AWS Lambda functions, and how the Serverless Framework can help manage serverless projects. Some disadvantages discussed are limitations on AWS Lambda functions and challenges with debugging serverless applications. The document concludes that serverless can be cost effective for event-driven workloads but may not be a good fit for all projects.
Learn about what a serverless architecture is, why they are growing in popularity, and who the key players are in a serverless API build on the AWS platform. Then get started building your own servless API!
AWS re:Invent 2016: Serverless Computing Patterns at Expedia (SVR306) )Amazon Web Services
In the middle of 2015, Expedia started using AWS Lambda for serverless computing. We built boilerplate templates in Node.js, Java, and Python so development teams could build and deploy serverless applications into AWS. Currently, we have 300 AWS Lambda functions processing 40 million invocations per day.
In this session, we will discuss how development teams use boilerplate templates to create serverless applications with Amazon API Gateway and AWS Lambda and how they deploy them to AWS. We will cover patterns, architectural design choices, and the benefits --- like cost, scale, availability, and operations --- of running serverless applications.
At Amazon Web Services, we think about Infrastructure as Code being able to impact not just your low level infrastructure or operating systems but everything from the virtual cement floor of your Amazon Virtual Private Cloud up through the applications your customers interface with.
Come take a tour of the space as we see it. Learn what layers there are to managing your infrastructure as code and what services and tools AWS and its Partners exist across these.
With autoscaling, high tolerance, high availability, and a pay-as-you-go billing model out of the box, Serverless is proving to be a complete game changer. With developers only having to focus on the business logic and not worry about scale, infrastructure planning, maintenance, security patching, and many more, it has become the gateway to getting started with Cloud the new norm.
How LEGO.com Accelerates With ServerlessSheenBrisals
LEGO.com has accelerated innovation using serverless technologies on AWS. They describe how they used AWS Step Functions for parallel processing and failure handling. Amazon EventBridge was used for event-driven architectures and batching feedback events. This allowed for more scalable and reliable systems while reducing costs and maintenance. Moving to a serverless model with feature teams also improved development speed and business agility.
Artificial Intelligence & Machine learning foundation topic in AWS Varun Manik
Varun Kumar is a senior consultant at Deloitte SEA and an AWS APN ambassador. He has over 10 years of experience in DevOps. He holds several AWS certifications and a master's degree in computer science. Some of his responsibilities include leading cloud migrations, building DevOps capabilities, and automating AWS tasks. He regularly conducts training sessions and shares his cloud knowledge.
Workshop : Wild Rydes Takes Off - The Dawn of a New UnicornAmazon Web Services
This document provides an overview of serverless computing and introduces several AWS services that can be used to build serverless applications, including AWS Lambda, Amazon DynamoDB, Amazon API Gateway, Amazon Cognito, and Amazon S3. It then outlines a workshop scenario where participants will build a serverless website for a transportation startup called Wild Rydes using these AWS services. The workshop consists of four labs that incrementally develop the serverless website to host static content, allow email signups, manage an administrative interface, and publish a blog.
The document discusses building voice user interface (VUI) skills that support Amazon Alexa using serverless technologies. It covers skill building fundamentals like registering skills on the Amazon developer portal and using the Alexa Skills Kit. It also discusses key concepts like intents, utterances, slots, requests and responses. The document provides examples of building fact and trivia skills using these concepts and Lambda functions.
Amazon Web Services proporciona una amplia gama de servicios que le ayudarán a crear e implementar aplicaciones de análisis de big data de forma rápida y sencilla. AWS ofrece un acceso rápido a recursos de TI económicos y flexibles, algo que permitirá escalar prácticamente cualquier aplicación de big data con rapidez, incluidos almacenamiento de datos, análisis de clics, detección de elementos fraudulentos, motores de recomendación, proceso ETL impulsado por eventos, informática sin servidor y procesamiento del Internet de las cosas.
Presentation from the developer track at I Love APIs London 2016 featuring Matt McClean, Amazon Web Services.
Developers have been jumping on the microservices bandwagon because of the obvious benefits of faster release cycles and innovation. However, microservices' downside is the increased server costs, operational costs, and performance costs. To reduce this complexity, Amazon Web Services created AWS Lambda - a compute platform that lets you build microservices with no provisioning and servers.
Matt McClean, Solution Architect from AWS, presents how to use AWS Lambda to build your microservices. He covers various architectural patterns and anti-patterns for using AWS Lambda.
SRV209 Introducing Amazon Connect: Create an Amazon Scale Cloud Contact Cent...Amazon Web Services
Utilizing the same technology used worldwide by Amazon Customer Service associates, Amazon Connect is a self-service cloud-based contact center offering from Amazon Web Services. Attend this session and see for yourself how easy it is create your own cloud-based contact center. We’ll show you how to set up contact center flows, manage your agent utilization, and track overall performance of your contact center. Learn how Amazon Connect works with other AWS services, like AWS Lambda, to leverage your existing systems for a personalized customer experience. Join us and walk away knowing how to build a virtual contact center in minutes with Amazon Connect.
Deep Dive on Serverless Web Applications - AWS May 2016 Webinar SeriesAmazon Web Services
This document provides an overview of serverless architectures and how to build a serverless web application. It discusses how serverless applications remove the need for servers by leveraging event-driven compute services like AWS Lambda. The document then breaks down the anatomy of a typical web application and shows how each component maps to a serverless equivalent like API Gateway, Lambda, DynamoDB, S3. It also covers securing the application using AWS IAM, Cognito for authentication and authorization. The presentation includes a demo of a serverless blogging application and discusses other security and authorization options.
Everything fails all the time! A quote repeated by many everyday. How does it feel when things fail in production? How do you recover from such situations? How can you make sure they don’t repeat? All these discussed with real production incidents and the measures taken to mitigate such failures. We will also look at few of the most common failure possibilities in a serverless ecosystem.
Remember, when everything fails all the time, you must learn something everyday to be operational all the time!
This document discusses serverless computing and AWS Lambda. It provides an overview of virtual machines, containers, and serverless/functions as a service. It describes how AWS Lambda works, including how to author functions using various programming languages. It also discusses how to integrate Lambda with other AWS services like API Gateway, Step Functions, S3, DynamoDB and more. It introduces the AWS Serverless Application Repository and AWS SAM for defining serverless applications.
ENT310 Microservices? Dynamic Infrastructure? - Adventures in Keeping Your Ap...Amazon Web Services
Keeping an application running at scale can be a daunting task. When do you need to add more capacity? Larger databases? Additional servers? These questions get harder as the complexity of your application grows. Microservice based architectures and cloud-based dynamic infrastructures are technologies that help you keep your application running with high availability, even during times of extreme scaling. We will discuss some of the best practices we’ve learned working with New Relic customers on how you can manage your applications running at scale, and how technologies such as microservices and dynamic infrastructure can help you with this challenge. This session is brought to you by AWS Summit San Francisco Platinum Sponsor New Relic.
This document provides information on serverless computing platforms from Azure, AWS, and Google. It outlines the supported programming languages and runtimes for each platform's functions as well as common event sources that can trigger function execution, such as S3 buckets, queues, and HTTP requests. It also lists serverless database options and notes that serverless computing allows for automatic scaling of resources and reduced management overhead compared to traditional reserved servers.
AWS re:Invent 2021 was a major cloud computing conference held in December 2021, with over 28,000 attendees across 4 venues and 50 tracks of sessions. The keynotes highlighted 15 years of AWS Cloud and emphasized modernizing applications like mainframes to take advantage of serverless services. New services were announced like Outposts for on-premises AWS capabilities addressing latency and data residency needs. Partner events included a Global Partner Summit and VIP briefings for APN Ambassadors.
You have heard how containers are great for running microservices, but running and managing large scale applications with microservices architectures is hard and often requires operating complex container management infrastructure. So what exactly is needed to get microservices to run in production at scale?
In this session, we will explore the reasoning and concepts behind microservices and how containers simplify building microservices based applications, and we will walk through a number of patterns used by our customers to run their microservices platforms. We will also dive deep into some of the challenges of running microservices, such as load balancing, service discovery, and secrets management, and we’ll see how Amazon EC2 Container Service (ECS) can help address them. We will also demo how you can easily deploy complex microservices applications using Amazon ECS.
The document provides an overview of serverless application development including bundling and deploying functions, continuous integration and delivery, versioning and stages, and monitoring. It discusses using AWS services like Lambda, API Gateway, CodeBuild, CodePipeline, CloudFormation, and CloudWatch for building, deploying, and monitoring serverless applications.
The document discusses serverless architectures and focuses on Node.js, AWS Lambda, and the Serverless Framework. It provides an overview of serverless architectures and their advantages like pay-per-use and easy scaling. It also describes Node.js, AWS Lambda functions, and how the Serverless Framework can help manage serverless projects. Some disadvantages discussed are limitations on AWS Lambda functions and challenges with debugging serverless applications. The document concludes that serverless can be cost effective for event-driven workloads but may not be a good fit for all projects.
Learn about what a serverless architecture is, why they are growing in popularity, and who the key players are in a serverless API build on the AWS platform. Then get started building your own servless API!
AWS re:Invent 2016: Serverless Computing Patterns at Expedia (SVR306) )Amazon Web Services
In the middle of 2015, Expedia started using AWS Lambda for serverless computing. We built boilerplate templates in Node.js, Java, and Python so development teams could build and deploy serverless applications into AWS. Currently, we have 300 AWS Lambda functions processing 40 million invocations per day.
In this session, we will discuss how development teams use boilerplate templates to create serverless applications with Amazon API Gateway and AWS Lambda and how they deploy them to AWS. We will cover patterns, architectural design choices, and the benefits --- like cost, scale, availability, and operations --- of running serverless applications.
At Amazon Web Services, we think about Infrastructure as Code being able to impact not just your low level infrastructure or operating systems but everything from the virtual cement floor of your Amazon Virtual Private Cloud up through the applications your customers interface with.
Come take a tour of the space as we see it. Learn what layers there are to managing your infrastructure as code and what services and tools AWS and its Partners exist across these.
With autoscaling, high tolerance, high availability, and a pay-as-you-go billing model out of the box, Serverless is proving to be a complete game changer. With developers only having to focus on the business logic and not worry about scale, infrastructure planning, maintenance, security patching, and many more, it has become the gateway to getting started with Cloud the new norm.
This document summarizes a session from AWS re:Invent 2017 on migrating Microsoft applications to AWS. The session will provide an overview of why customers migrate to AWS, discuss general migration methodology, include deep dives into Active Directory, SQL Server, SharePoint, and Exchange migrations, and feature workshops and team presentations. It outlines the session timeline and topics to be covered.
In the ever fast paced software development, Serverless came in as a boon, enabling developers concentrate primarily on the business logic and nothing more! This only calls for a stringent process flow, making Continuous Development, Countinous Integration and Continuous Delivery highly advisable. This talk will focus on local testing of the serverless functions and their associated services locally.
Demystifying Serverless: Making the Right Decision for Your Workload Ashok Kumar
8TH WORLD DEVOPS SUMMIT session provides attendees with a concise overview of serverless computing, including its fundamentals (Serverless 101) and a discussion on its various use cases. The session also explores the differences between serverless and container-based approaches, as well as the integration of container orchestration engines with serverless architectures. Attendees will learn about the state of serverless technology within the CNCF ecosystem and witness a live demo of AWS Lambda. Additionally, the session offers insights into when to choose serverless or Kubernetes for different architectural scenarios. The Serverless Framework is showcased to demonstrate its capabilities in developing and deploying serverless applications. Lastly, important considerations for incorporating serverless functions into larger applications are presented.
This document discusses serverless computing and its benefits. Serverless allows developers to build and run applications without managing infrastructure. It scales instantly to handle changes in load, and developers do not need to worry about server maintenance, upgrades, or other operational tasks. Serverless computing uses functions as a service and is supported by major cloud providers like AWS Lambda, Azure Functions, and Google Cloud Functions. It is well suited for use cases like microservices, background tasks, image processing, and APIs. While serverless improves deployment speed and scalability, it also has limitations around visibility and timeouts.
Building a Development Workflow for Serverless Applications - March 2017 AWS ...Amazon Web Services
Building, testing, and deploying AWS Lambda-based, serverless applications introduces new challenges to developers whose development workflows are optimized for traditional VM-based applications. In this webinar, we will introduce one method for automating the deployment of serverless applications running on AWS Lambda. We will first cover how you can model and express serverless applications using the open source AWS Serverless Application Model (AWS SAM). Then, we will discuss how you can use CI/CD tooling from AWS CodePipeline and AWS CodeBuild to build an automated development workflow for your serverless app.
Learning Objectives:
1. Understand the fundamentals of the microservices architectural approach
2. Learn best practices for designing microservices on AWS
3. Learn the basics of Amazon EC2 Container Service, Amazon API Gateway, AWS Lambda, and AWS X-Ray"
It summit 2014_migrating_applications_to_the_cloud-5margaret_ronald
- Several Harvard IT groups have been migrating applications to AWS to reduce costs, improve scalability and availability, and enable faster development cycles.
- Key lessons learned include starting with incremental migrations, adopting a "cattle not pets" mindset, managing infrastructure as code, and ensuring proper operational services are in place to support applications in the cloud.
- HUIT is working to support cloud adoption across Harvard through enterprise agreements with AWS, on-premise private cloud options, training, and developing a cloud strategy to guide standardized approaches.
This session provides an overview of how organizations can migrate workloads to the AWS cloud at scale. We will go through available migration frameworks and best practices with common use case examples during this session.
Just over a year ago (before becoming the full time chair and advocate of QCon London, San Francisco, and New York), my main role was with HPE as the principal architect for a client in the US public sector.
The systems we supported were responsible for personnel information, scholarships decisions, and record management. Like so many others, we were also faced with legacy applications, COTS product integrations, polyglot code bases, and often brittle deployments. In an effort to decouple code bases and address some of these issues, we started advocating for a Microservice architecture and trying to distinguish it from the SOA practices of the past.
Now, it’s a year later. I have had the incredible opportunity to have access to architects, engineers, and leaders from some of the world’s more respected software companies. These are companies like Uber, Microsoft, Netflix, Apple, Google, Slack, Pinterest, and Etsy. I’ve had the chance to have one-on-one discussions with Chief Architects, developers, and engineers building the apps I most admire and use every day (some leveraging Microservices, some embracing Monoliths, and others falling somewhere in between).
Patterns & Practices of Microservices is some of the things I wish I knew before beginning a push towards Microservices just over a year ago. It’s the practices of companies leveraging Microservices, it’s the technology tradeoffs when deciding between Monoliths and Microservices, and it’s the advice I’ve heard in interviewing, podcasting, and iterating on presentations from software giants like Adrian Cockcroft, Matt Ranney, Josh Evans, Martin Thompson, and literally hundreds of other engineers who drop knowledge at QCons around the world.
Microservices: Breaking Apart the Monolith Iron.io
Microservices have transformed the way developers are building and deploying applications in the era of modern cloud infrastructure. Microservices architectures are designed to separate components into discrete functional elements or individual services. Developers benefit from this new model with reduced complexity and increased scalability.
Smaller, more granular compute services which can be developed and deployed independently are easier to maintain, repair, and update. Microservices delivers more agile capabilities so software developers can quickly respond to today's changing environments.
AWS re:Invent 2016: Develop Your Migration Toolkit (ENT312)Amazon Web Services
Learn about some of the most useful and popular tools that you can leverage at various stages of a migration project. These tools will allow your teams to focus on coordinating the migration and automating as many migration activities as possible.
The document discusses microservices and provides information on:
- The benefits of microservices including faster time to market, lower deployment costs, and more revenue opportunities.
- What defines a microservice such as being independently deployable and scalable.
- Differences between monolithic and microservice architectures.
- Moving applications to the cloud and refactoring monolithic applications into microservices.
- Tools for building microservices including Azure Service Fabric and serverless/Functions.
- Best practices for developing, deploying, and managing microservices.
Where to Begin? Application Portfolio Migration - Miha Kralj, Principal Consultant, AWS
Application portfolio assessment is a technique used at the beginning of enterprise application migration process. It helps migration team to gather, analyse and understand their app portfolio before deciding on priorities and sequences of application migration. This session will present the app assessment process, the most common migration strategies and tools, and the placement of application portfolio migration in a complete IT Transformation process.
How we got to where we are?
What's Serverless
Serverless Principles
Pros and cons
Serverless architectures
Lambda Anatomy
Demos
AWS SAM
Demo
By : Ahmed Samir
An Agile Approach to Accelerate Mass Migration | AWS Public Sector Summit 2016Amazon Web Services
The complexities of a cloud transformation program that involves the migration of hundreds or thousands of servers can present a significant challenge to program management and the coordination of IT teams tasked with the success and support of migration. This session outlines a highly collaborative agile approach to accelerate migration activities through automation of the iterative capture, sharing, and documentation of decisions and information, incorporated into a common DevOps solution.
Building Cloud-Native App Series - Part 5 of 11
Microservices Architecture Series
Microservices Architecture,
Monolith Migration Patterns
- Strangler Fig
- Change Data Capture
- Split Table
Infrastructure Design Patterns
- API Gateway
- Service Discovery
- Load Balancer
DevOps on the AWS Cloud introduces DevOps practices that can help companies innovate faster for customers. Traditional development models are becoming obsolete as business becomes more software-driven and users expect continuous improvement and stability. DevOps practices like infrastructure as code, microservices, logging and monitoring, and continuous integration/delivery enabled by AWS services can help increase business agility while decreasing development cycle times. Chef provides tools that integrate with AWS to enable common DevOps practices like provisioning infrastructure with code and automating continuous delivery workflows. Gannett uses Chef and AWS together in their development pipeline to test infrastructure changes and application deployments.
A presentation on the Netflix Cloud Architecture and NetflixOSS open source. For the All Things Open 2015 conference in Raleigh 2015/10/19. #ATO2015 #NetflixOSS
The Hitchhiker’s Guide to Hybrid ConnectivityDaniel Toomey
This document discusses options for integrating on-premises systems with Azure-based applications. It describes network-based options like virtual networks and non-network options like Azure Relay and the On-Premises Data Gateway. Azure Relay offers WCF Relay and Hybrid Connections. Hybrid Connections use port forwarding while WCF Relay relies on WCF. The document also provides examples of how to connect web/mobile apps, VMs, and SaaS services to on-prem resources and compares different approaches.
Similar to Getting Started with Amazon EventBridge (20)
Join me in this session where I'll share our journey of building a fully serverless application that flawlessly managed check-ins for an event with a staggering 80 thousand registrations.
We'll dive into three key strategies that made this possible. Firstly, by harnessing DynamoDB global tables, we ensured global service availability and data replication across regions, boosting performance and disaster recovery. Next, we'll explore how we seamlessly integrated real-time updates into the app using Appsync subscriptions, making the experience dynamic and engaging for users. Finally, I'll discuss how provisioned concurrency not only improved performance but also kept costs in check, highlighting the cost-effectiveness of serverless architectures.
Through these strategies and the inherent scalability of serverless technology, our application effortlessly handled massive user loads without manual intervention. This session is a real world example to the power and efficiency of modern cloud-based solutions in enabling seamless scalability and robust performance with Serverless
Lessons Learned from Building a Serverless Notifications System.pdfSrushith Repakula
Building a notification campaign might seem easy and it is easy to get started with a simple set up. But once the scale kicks in, it becomes every important to have a resilient architecture that can handle hundreds of thousands of recipients.
This talk will focus on the Serverless services consumed in building the architecture and the various architectural decisions.
The talk covers the various challenges in building an architecture of this sorts and how we overcame them using Serverless services.
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This document provides an overview of Srushith Repakula's experiences architecting and implementing serverless platforms. It discusses various serverless services like AWS Lambda, API Gateway, DynamoDB, SNS, SQS, Step Functions and EventBridge. It also summarizes design patterns for building event-driven applications on serverless including hub and spoke, static event flow and filtered event flow models. Finally, it outlines best practices for serverless development and potential challenges.
Amazon EventBridge is a serverless event bus that makes it easier to build event-driven applications by handling events from applications and AWS services. AWS Step Functions allows combining Lambda functions and services into workflows with steps. It provides orchestration, parallel processing, and retry capabilities. AWS AppSync is a managed GraphQL service that can handle high volumes of requests and integrates with databases. It supports subscriptions using websockets.
This is a hands on workshop where we build a real time serverles polling application that can easily scale to millions of request with no extra configuration. This is built using AWS Amplify, AWS AppSync and DynamoDB
Building a completely serverless restaurant rating app - 'Tomato Restaurant Rating' app using AWS services - Lambda, API Gateway, DynamoDB, Cognito and servereless framework.
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This document discusses how to wield the Infinity Stones of serverless computing on AWS Lambda to optimize performance and costs. It provides tips for reducing code size and duplication using Lambda layers to wield the Space Stone. It recommends building "nano-services" instead of "monoliths" and using code orchestration like Step Functions to wield the Mind Stone. Metrics are given on how memory size and amount of code affects cold start times and costs to wield the Time and Power Stones. Design principles are outlined for concurrency, failures, and cloud-native design to wield the Soul and Reality Stones.
The document discusses serverless architectures and function as a service (FaaS) platforms, providing examples of using Apache OpenWhisk to run Python code that retweets tweets containing a hashtag in response to events and discussing how serverless architectures can be used to build chatbots that integrate with services like Amazon Lex. It also outlines some of the benefits of serverless platforms like AWS Lambda in allowing developers to run code without managing servers and only paying for the compute time used.
Lambda land: Running a serverless ticketing platform for less than $2 a monthSrushith Repakula
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Transforming Product Development using OnePlan To Boost Efficiency and Innova...OnePlan Solutions
Ready to overcome challenges and drive innovation in your organization? Join us in our upcoming webinar where we discuss how to combat resource limitations, scope creep, and the difficulties of aligning your projects with strategic goals. Discover how OnePlan can revolutionize your product development processes, helping your team to innovate faster, manage resources more effectively, and deliver exceptional results.
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https://www.penify.dev/
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14 th Edition of International conference on computer visionShulagnaSarkar2
About the event
14th Edition of International conference on computer vision
Computer conferences organized by ScienceFather group. ScienceFather takes the privilege to invite speakers participants students delegates and exhibitors from across the globe to its International Conference on computer conferences to be held in the Various Beautiful cites of the world. computer conferences are a discussion of common Inventions-related issues and additionally trade information share proof thoughts and insight into advanced developments in the science inventions service system. New technology may create many materials and devices with a vast range of applications such as in Science medicine electronics biomaterials energy production and consumer products.
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You will also see how data and API consumers can discover and subscribe to products in a developer portal, as well as how they can integrate with Confluent topics through protocols like REST, Websockets, Server-sent Events and Webhooks.
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Unlock the Secrets to Effortless Video Creation with Invideo: Your Ultimate G...The Third Creative Media
"Navigating Invideo: A Comprehensive Guide" is an essential resource for anyone looking to master Invideo, an AI-powered video creation tool. This guide provides step-by-step instructions, helpful tips, and comparisons with other AI video creators. Whether you're a beginner or an experienced video editor, you'll find valuable insights to enhance your video projects and bring your creative ideas to life.
2. AWS Serverless Hero
Head of Engineering at KonfHub
Serverless Consultant
Co-organiser of one of the largest Serverless
meetup group - Serverless Architecture
Meetup Group, Bangalore
Organiser of AWS User Group, Tirupati
Srushith Repakula
@SrushithR
4. Orchestration
• Messages are sent to an event
bus or queue and are picked up
by downstream services
• Not waiting for the downstream
services to complete before
continuing
• Coordinates the behaviour of
multiple components or services
• Maintain state between multiple
steps in a transaction
Coordination
Source: https://www.slideshare.net/JeremyDaly1/building-eventdriven-applications-with-serverless-and-aws-aws-summit-new-york
7. • Events - An event indicates a change in an
environment
• Rules - A rule matches incoming events and
routes them to targets for processing
• Targets - A target processes events
• Event Buses - An event bus receives events
• Partner Event Sources - A partner event source is
used by an AWS partner to send events to an
AWS customer account
Terms & Concepts
8. • Archives & Replays - events can be archived and
replayed them at a later point
• Schema Registry - Schema registries are containers for
Schemas. Registries collect and organize schemas so
that your schemas are in logical groups
• Code bindings - You can generate code bindings for
event schemas to speed development for Java, Python,
and TypeScript
Terms & Concepts
13. ● <div>Icons made by <a href="https://www.flaticon.com/authors/icongeek26" title="Icongeek26">Icongeek26</a> from
<a href="https://www.flaticon.com/" title="Flaticon">www.flaticon.com</a></div>