Deep Dive on Serverless Web Applications - AWS May 2016 Webinar SeriesAmazon Web Services
Serverless architectures involve building applications and services with infrastructure resources that require zero administration. When building and operating web applications, you have to provision and manage servers to run your application code, install and operate distributed databases, and scale servers to handle API requests. AWS provides you a stack of scalable, fully-managed services that eliminates these operational complexities.
In this session, we will briefly review how you can build web applications using a serverless architecture. We will run through a demo of setting up a simple serverless blogging web application that allows user authentication and the ability to create posts and comments. We will dive into the details of how AWS Lambda, Amazon API Gateway, Amazon S3, Amazon DynamoDB, and Amazon Cognito are used in each component of the web application.
Learning Objectives:
• Review components and benefit of serverless architectures
• Learn how to build a serverless blogging web application
AWS re:Invent 2016: All Your Chats are Belong to Bots: Building a Serverless ...Amazon Web Services
Bots are eating the world! Wild Rydes (www.wildrydes.com), a new startup that is building the world’s leading mobile/VR/AR unicorn transportation system, has decided to use serverless chatbots to staff its customer service department. As it scales to millions of users, Wild Rydes needed a scalable way to meet the customer service needs of its customers instead of relying on human customer service agents. Wild Rydes needs your help to implement its vision.
In this workshop, you will help Wild Rydes launch the future of customer service. You will build a customer service bot for Facebook that runs on AWS Lambda and Amazon API Gateway. You’ll enable the bot to respond intelligently to customers by building in Natural Language Processing (NLP). The bot will use an event-driven architecture in which Lambda functions trigger workflows that pull customer responses from a Knowledge Base of Q&A. You’ll also write a function to trigger a manual approval request to a Slack channel, so that Wild Rydes’ technical staff can approve or reject messages from the bot to the customer. Finally, you’ll also learn to use Amazon S3, Amazon DynamoDB, and Amazon Elasticsearch Service to log all incoming requests and create live analytical dashboards, such as for sentiment analysis, to track customer satisfaction.
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.
SRV203 Getting Started with AWS Lambda and the Serverless CloudAmazon Web Services
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you'll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We'll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We'll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
AWS re:Invent 2016: Getting Started with Serverless Architectures (CMP211)Amazon Web Services
Serverless architectures let you build and deploy applications and services with infrastructure resources that require zero administration. In the past, you had to provision and scale servers to run your application code, install and operate distributed databases, and build and run custom software to handle API requests. Now, AWS provides a stack of scalable, fully-managed services that eliminates these operational complexities.
In this session, you learn about the concepts and benefits of serverless architectures and the basics of the serverless stack AWS provides (e.g., AWS Lambda and Amazon API Gateway). We discuss use cases such as data processing, website backends, serverless applications and "operational glue". After that, you get practical tips and tricks, best practices, and architecture patterns that you can take back and implement immediately.
Deep Dive on Serverless Web Applications - AWS May 2016 Webinar SeriesAmazon Web Services
Serverless architectures involve building applications and services with infrastructure resources that require zero administration. When building and operating web applications, you have to provision and manage servers to run your application code, install and operate distributed databases, and scale servers to handle API requests. AWS provides you a stack of scalable, fully-managed services that eliminates these operational complexities.
In this session, we will briefly review how you can build web applications using a serverless architecture. We will run through a demo of setting up a simple serverless blogging web application that allows user authentication and the ability to create posts and comments. We will dive into the details of how AWS Lambda, Amazon API Gateway, Amazon S3, Amazon DynamoDB, and Amazon Cognito are used in each component of the web application.
Learning Objectives:
• Review components and benefit of serverless architectures
• Learn how to build a serverless blogging web application
AWS re:Invent 2016: All Your Chats are Belong to Bots: Building a Serverless ...Amazon Web Services
Bots are eating the world! Wild Rydes (www.wildrydes.com), a new startup that is building the world’s leading mobile/VR/AR unicorn transportation system, has decided to use serverless chatbots to staff its customer service department. As it scales to millions of users, Wild Rydes needed a scalable way to meet the customer service needs of its customers instead of relying on human customer service agents. Wild Rydes needs your help to implement its vision.
In this workshop, you will help Wild Rydes launch the future of customer service. You will build a customer service bot for Facebook that runs on AWS Lambda and Amazon API Gateway. You’ll enable the bot to respond intelligently to customers by building in Natural Language Processing (NLP). The bot will use an event-driven architecture in which Lambda functions trigger workflows that pull customer responses from a Knowledge Base of Q&A. You’ll also write a function to trigger a manual approval request to a Slack channel, so that Wild Rydes’ technical staff can approve or reject messages from the bot to the customer. Finally, you’ll also learn to use Amazon S3, Amazon DynamoDB, and Amazon Elasticsearch Service to log all incoming requests and create live analytical dashboards, such as for sentiment analysis, to track customer satisfaction.
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.
SRV203 Getting Started with AWS Lambda and the Serverless CloudAmazon Web Services
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you'll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We'll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We'll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
AWS re:Invent 2016: Getting Started with Serverless Architectures (CMP211)Amazon Web Services
Serverless architectures let you build and deploy applications and services with infrastructure resources that require zero administration. In the past, you had to provision and scale servers to run your application code, install and operate distributed databases, and build and run custom software to handle API requests. Now, AWS provides a stack of scalable, fully-managed services that eliminates these operational complexities.
In this session, you learn about the concepts and benefits of serverless architectures and the basics of the serverless stack AWS provides (e.g., AWS Lambda and Amazon API Gateway). We discuss use cases such as data processing, website backends, serverless applications and "operational glue". After that, you get practical tips and tricks, best practices, and architecture patterns that you can take back and implement immediately.
Using AWS Lambda to Build Control Systems for Your AWS InfrastructureAmazon Web Services
Defining infrastructure resource policies in an organized manner can help your company better manage its infrastructure resources.
This session will familiarize you with using AWS Lambda to process data and provide control logic for your infrastructure. You can use Amazon CloudWatch Events to monitor infrastructure resources in real-time, and you can use AWS Lambda to react to events based on a set of rules. We will demonstrate how you can build a rules engine for creating, monitoring, and managing policies.
AWS DevDay San Francisco, June 21, 2016.
Presenter: Bryan Liston, Community Manager, AWS Lambda
AWS re:Invent 2016: 6 Million New Registrations in 30 Days: How the Chick-fil...Amazon Web Services
Chris leads the team providing back-end services for the massively popular Chick-fil-A One mobile app that launched in June 2016. Chick-fil-A follows AWS best practices for web services and leverages numerous AWS services, including Elastic Beanstalk, DynamoDB, Lambda, and Amazon S3. This was the largest technology-dependent promotion in Chick-fil-A history. To ensure their architecture would perform at unknown and massive scale, Chris worked with AWS Support through an AWS Infrastructure Event Management (IEM) engagement and leaned on automated operations to enable load testing before launch.
You can now develop your AWS Lambda functions in C# using the .NET Core 1.0 runtime.
The easiest way to get started is with the AWS Toolkit for Visual Studio, which includes project templates for individual C# Lambda functions, full C# serverless applications, and also tools to publish both projects types to AWS.
To manually create a C# Lambda function, you simply specify the Lambda runtime parameter as “netcore1.0” and upload the ZIP of all NuGet dependencies as well as your own published DLL assemblies through the AWS CLI or AWS Lambda console. Alternatively, you can use AWS CloudFormation through the AWS Serverless Application Specification for deploying your C# Lambda function.
Peeling the Onion - Monoliths to Serverless Microservices on Amazon Web ServicesAmazon Web Services
Re-imagining your legacy monolithic applications as microservices is a great opportunity to challenge design decisions such as choice of language, synchronicity, access patterns and coupling and promotes isolated deployments, modularity and separation of concerns, while providing per-end point analytics for free. See how Amazon API Gateway and Amazon Web Services Lambda, together with microframeworks like Chalice make "Peeling the Onion" and redefining legacy applications in terms of microservices manageable.
Speaker: Craig Dickson, Solutions Architect, Amazon Web Services
Real-time processing of streaming data is a common architectural pattern used in many applications. Amazon Kinesis Analytics is the easiest way to process streaming data in real time with standard SQL without having to learn new programming languages or processing frameworks. We will present how to use Amazon Kinesis Analytics on streaming data and gain actionable insights from your data.
Services: Amazon Kinesis Analytics, Amazon Redshift, Amazon Elastic Search Service and Amazon S3.
Presenters: Kobi Biton & Ran Tessler
AWS' philosophy and recommended best practices for building microservices applications, how AWS services like Lambda and API gateway benefit developers building microservices apps, and how customers are using these two and other AWS services to deliver their microservices apps
Building Automated Control Systems for Your AWS InfrastructureAmazon Web Services
Defining infrastructure resource policies in an organized manner can help your company better manage its infrastructure resources.
This session will familiarize you with using AWS Lambda to process data and provide control logic for your infrastructure. You can use Amazon CloudWatch Events to monitor infrastructure resources in real-time, and you can use AWS Lambda to react to events based on a set of rules. We will demonstrate how you can build a rules engine for creating, monitoring, and managing policies.
NEW LAUNCH! Building Distributed Applications with AWS Step FunctionsAmazon Web Services
AWS Step Functions is a new, fully managed service that makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Step Functions is a reliable way to coordinate components and step through the functions of your application. A graphical console helps you arrange and visualize the components of your application as a series of steps. Step Functions automatically triggers and tracks each step and retries when there are errors so that your application executes in order―and as expected―every time. This session shows how to use Step Functions to create, run, and debug multi-service applications in a matter of minutes. We also share how customers are using Step Functions to reliably build and scale multi-step applications such as order processing, report generation, and data transformation―and to innovate faster.
AWS re:Invent 2016: Application Lifecycle Management in a Serverless World (S...Amazon Web Services
Amazon API Gateway and AWS Lambda provide a new way of building applications by removing servers from the picture. But what does the removal of servers mean to tasks like deployment, monitoring, and debugging? How should you set up blue-green deployments or set alarms? Come learn all this and more, including how to use AWS services and tools like AWS CodePipeline, AWS CloudFormation, and Amazon CloudWatch to manage your serverless applications at high quality.
Serverless architectures allow you to build and run applications and services without having to manage infrastructure. With serverless architectures, your application still runs on servers, but all the server management is done by AWS. In this session, you will learn how to build applications and services using a serverless architecture. We will discuss how you can use AWS Lambda to run code for any type of application or backend service; Amazon DynamoDB to store application data with high scalability and redundancy; and Amazon API Gateway to create and manage secure API endpoints. We will run through a demo setting up a web application using this architecture, and we will discuss best practices and patterns used by our customers to run serverless applications.
AWS Lambda is a new compute service that runs your code in response to events and automatically manages compute resources for you. In this session, you learn what you need to get started quickly, including a review of key features, a live demonstration, guidelines on how to use AWS Lambda with Amazon S3 event notifications and Amazon DynamoDB streams, and tips on getting the most out of Lambda functions.
Deep Dive: Amazon EC2 Elastic GPUs - May 2017 AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Get an overview of Elastic GPUs
- Dive deep on the technical capabilities of Elastic GPUs
- Learn best practices when using Elastic GPUs
Amazon EC2 Elastic GPUs allow you to easily attach low-cost graphics acceleration to current generation EC2 instances. With Elastic GPUs, you choose the GPU resources that are sized for your workload, so you can accelerate the graphics performance of your applications for a fraction of the cost of stand-alone graphics instances. In this tech talk, we will provide a deep dive on the capabilities of Elastic GPUs and its use case.
Choosing the right messaging service for your serverless app [with lumigo]Dhaval Nagar
By their nature, serverless applications are highly-distributed and event-driven, relying heavily on relaying events from one service to another. With that in mind, selecting the right messaging service for routing events is critical for your serverless application's functionality and performance.
I reviewed the three major event-routing services on AWS -- SNS, SQS, and EventBridge. Also, examine their differences and which service is optimal for which use case.
Finally, looked at the best way to monitor and debug a serverless application that uses an event-routing messaging service
AWS Lambda is a compute service that runs your code in response to events and automatically manages the compute resources for you, making it easy to build applications that respond quickly to new information. AWS Lambda starts running your code within milliseconds of an event such as an image upload, in-app activity, website click, or output from a connected device.
Many businesses want the benefits of AWS like lower cost, flexibility, and agility, but aren’t sure if performing the migration in-house is the best option. By leveraging the expertise of an AWS Premier Consulting Partner like Datapipe, organizations can take the burden off of IT and experience a smooth, automated transition to the cloud. In our upcoming webinar, AWS, Datapipe, and Motus, a vehicle management and reimbursement platform, explain how Motus migrated and automated their workloads on the AWS Cloud, which resulted in a 20% reduction in operational costs. Datapipe takes a 3-fold approach to migration. Using services such as Amazon Route 53 and Amazon CloudWatch, Datapipe will plan, build, and run your new cloud environment on AWS.
Join us to Learn:
• How Datapipe works with organizations to plan, build, and run their new, efficient cloud environments
• How to migrate and manage your organization’s environments to lower operational costs and optimize efficiency
• How Motus lowered their operational IT costs by 20% by automating many of their processes
Who Should Attend:
Cloud Owners, Cloud Architects, IT Administers, IT Architects, Information Architects, DevOps Managers
AWS Speaker: Sai Reddy Thangirala, Solution Architect
Partner Speaker Name: Eric Sakowski, Lead Automation Engineer, DevOps and Automation
Customer Speaker Name: Rick Blaisdell, Chief Technology Officer, Motus
Building Serverless Web Applications - May 2017 AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn the basics of AWS Lambda and Amazon API Gateway
- Understand how to build a web application using these services
- Learn to architect a serverless application
- Gain an overview of frameworks for building serverless applications
What if you could build a web application that could support true web-scale traffic without having to ever provision or manage a single server? In this session, you will learn how to build a serverless website that scales automatically using services like AWS Lambda, Amazon API Gateway, and Amazon S3. We will review several frameworks that can help you build serverless applications, such as the AWS Serverless Application Model (AWS SAM), Chalice, and ClaudiaJS.
Serverless DevOps to the Rescue - SRV330 - re:Invent 2017Amazon Web Services
Join this workshop for a crash course in serverless DevOps! This workshops presents a scenario in which you help out Wild Rydes (www.wildrydes.com), the world’s leading unicorn transportation startup! After building the first iteration of its serverless web application, Wild Rydes needs serverless DevOps experts like yourself to help it rapidly build and iterate upon its web app. In this workshop, you’ll help Wild Rydes set up a CI/CD pipeline that enables the company to rapidly build, test, and deploy changes to its serverless application. You’ll also learn to monitor and diagnose issues for its application. This workshop will teach you how to model and deploy serverless apps with the AWS Serverless Application Model. You’ll learn to use AWS CodePipeline and AWS CodeBuild to create a CI/CD pipeline for AWS Lambda and other services. Finally, you’ll learn to use AWS X-Ray to diagnose issues in your Lambda functions.
Requirements: Laptop, AWS account, basic Git experience. Recommended: Previous experience with the AWS Management Console and AWS CloudFormation templates, some familiarity with the AWS Developer Tools services, and preferably one of the AWS Associate certifications.
Using AWS Lambda to Build Control Systems for Your AWS InfrastructureAmazon Web Services
Defining infrastructure resource policies in an organized manner can help your company better manage its infrastructure resources.
This session will familiarize you with using AWS Lambda to process data and provide control logic for your infrastructure. You can use Amazon CloudWatch Events to monitor infrastructure resources in real-time, and you can use AWS Lambda to react to events based on a set of rules. We will demonstrate how you can build a rules engine for creating, monitoring, and managing policies.
AWS DevDay San Francisco, June 21, 2016.
Presenter: Bryan Liston, Community Manager, AWS Lambda
AWS re:Invent 2016: 6 Million New Registrations in 30 Days: How the Chick-fil...Amazon Web Services
Chris leads the team providing back-end services for the massively popular Chick-fil-A One mobile app that launched in June 2016. Chick-fil-A follows AWS best practices for web services and leverages numerous AWS services, including Elastic Beanstalk, DynamoDB, Lambda, and Amazon S3. This was the largest technology-dependent promotion in Chick-fil-A history. To ensure their architecture would perform at unknown and massive scale, Chris worked with AWS Support through an AWS Infrastructure Event Management (IEM) engagement and leaned on automated operations to enable load testing before launch.
You can now develop your AWS Lambda functions in C# using the .NET Core 1.0 runtime.
The easiest way to get started is with the AWS Toolkit for Visual Studio, which includes project templates for individual C# Lambda functions, full C# serverless applications, and also tools to publish both projects types to AWS.
To manually create a C# Lambda function, you simply specify the Lambda runtime parameter as “netcore1.0” and upload the ZIP of all NuGet dependencies as well as your own published DLL assemblies through the AWS CLI or AWS Lambda console. Alternatively, you can use AWS CloudFormation through the AWS Serverless Application Specification for deploying your C# Lambda function.
Peeling the Onion - Monoliths to Serverless Microservices on Amazon Web ServicesAmazon Web Services
Re-imagining your legacy monolithic applications as microservices is a great opportunity to challenge design decisions such as choice of language, synchronicity, access patterns and coupling and promotes isolated deployments, modularity and separation of concerns, while providing per-end point analytics for free. See how Amazon API Gateway and Amazon Web Services Lambda, together with microframeworks like Chalice make "Peeling the Onion" and redefining legacy applications in terms of microservices manageable.
Speaker: Craig Dickson, Solutions Architect, Amazon Web Services
Real-time processing of streaming data is a common architectural pattern used in many applications. Amazon Kinesis Analytics is the easiest way to process streaming data in real time with standard SQL without having to learn new programming languages or processing frameworks. We will present how to use Amazon Kinesis Analytics on streaming data and gain actionable insights from your data.
Services: Amazon Kinesis Analytics, Amazon Redshift, Amazon Elastic Search Service and Amazon S3.
Presenters: Kobi Biton & Ran Tessler
AWS' philosophy and recommended best practices for building microservices applications, how AWS services like Lambda and API gateway benefit developers building microservices apps, and how customers are using these two and other AWS services to deliver their microservices apps
Building Automated Control Systems for Your AWS InfrastructureAmazon Web Services
Defining infrastructure resource policies in an organized manner can help your company better manage its infrastructure resources.
This session will familiarize you with using AWS Lambda to process data and provide control logic for your infrastructure. You can use Amazon CloudWatch Events to monitor infrastructure resources in real-time, and you can use AWS Lambda to react to events based on a set of rules. We will demonstrate how you can build a rules engine for creating, monitoring, and managing policies.
NEW LAUNCH! Building Distributed Applications with AWS Step FunctionsAmazon Web Services
AWS Step Functions is a new, fully managed service that makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Step Functions is a reliable way to coordinate components and step through the functions of your application. A graphical console helps you arrange and visualize the components of your application as a series of steps. Step Functions automatically triggers and tracks each step and retries when there are errors so that your application executes in order―and as expected―every time. This session shows how to use Step Functions to create, run, and debug multi-service applications in a matter of minutes. We also share how customers are using Step Functions to reliably build and scale multi-step applications such as order processing, report generation, and data transformation―and to innovate faster.
AWS re:Invent 2016: Application Lifecycle Management in a Serverless World (S...Amazon Web Services
Amazon API Gateway and AWS Lambda provide a new way of building applications by removing servers from the picture. But what does the removal of servers mean to tasks like deployment, monitoring, and debugging? How should you set up blue-green deployments or set alarms? Come learn all this and more, including how to use AWS services and tools like AWS CodePipeline, AWS CloudFormation, and Amazon CloudWatch to manage your serverless applications at high quality.
Serverless architectures allow you to build and run applications and services without having to manage infrastructure. With serverless architectures, your application still runs on servers, but all the server management is done by AWS. In this session, you will learn how to build applications and services using a serverless architecture. We will discuss how you can use AWS Lambda to run code for any type of application or backend service; Amazon DynamoDB to store application data with high scalability and redundancy; and Amazon API Gateway to create and manage secure API endpoints. We will run through a demo setting up a web application using this architecture, and we will discuss best practices and patterns used by our customers to run serverless applications.
AWS Lambda is a new compute service that runs your code in response to events and automatically manages compute resources for you. In this session, you learn what you need to get started quickly, including a review of key features, a live demonstration, guidelines on how to use AWS Lambda with Amazon S3 event notifications and Amazon DynamoDB streams, and tips on getting the most out of Lambda functions.
Deep Dive: Amazon EC2 Elastic GPUs - May 2017 AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Get an overview of Elastic GPUs
- Dive deep on the technical capabilities of Elastic GPUs
- Learn best practices when using Elastic GPUs
Amazon EC2 Elastic GPUs allow you to easily attach low-cost graphics acceleration to current generation EC2 instances. With Elastic GPUs, you choose the GPU resources that are sized for your workload, so you can accelerate the graphics performance of your applications for a fraction of the cost of stand-alone graphics instances. In this tech talk, we will provide a deep dive on the capabilities of Elastic GPUs and its use case.
Choosing the right messaging service for your serverless app [with lumigo]Dhaval Nagar
By their nature, serverless applications are highly-distributed and event-driven, relying heavily on relaying events from one service to another. With that in mind, selecting the right messaging service for routing events is critical for your serverless application's functionality and performance.
I reviewed the three major event-routing services on AWS -- SNS, SQS, and EventBridge. Also, examine their differences and which service is optimal for which use case.
Finally, looked at the best way to monitor and debug a serverless application that uses an event-routing messaging service
AWS Lambda is a compute service that runs your code in response to events and automatically manages the compute resources for you, making it easy to build applications that respond quickly to new information. AWS Lambda starts running your code within milliseconds of an event such as an image upload, in-app activity, website click, or output from a connected device.
Many businesses want the benefits of AWS like lower cost, flexibility, and agility, but aren’t sure if performing the migration in-house is the best option. By leveraging the expertise of an AWS Premier Consulting Partner like Datapipe, organizations can take the burden off of IT and experience a smooth, automated transition to the cloud. In our upcoming webinar, AWS, Datapipe, and Motus, a vehicle management and reimbursement platform, explain how Motus migrated and automated their workloads on the AWS Cloud, which resulted in a 20% reduction in operational costs. Datapipe takes a 3-fold approach to migration. Using services such as Amazon Route 53 and Amazon CloudWatch, Datapipe will plan, build, and run your new cloud environment on AWS.
Join us to Learn:
• How Datapipe works with organizations to plan, build, and run their new, efficient cloud environments
• How to migrate and manage your organization’s environments to lower operational costs and optimize efficiency
• How Motus lowered their operational IT costs by 20% by automating many of their processes
Who Should Attend:
Cloud Owners, Cloud Architects, IT Administers, IT Architects, Information Architects, DevOps Managers
AWS Speaker: Sai Reddy Thangirala, Solution Architect
Partner Speaker Name: Eric Sakowski, Lead Automation Engineer, DevOps and Automation
Customer Speaker Name: Rick Blaisdell, Chief Technology Officer, Motus
Building Serverless Web Applications - May 2017 AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn the basics of AWS Lambda and Amazon API Gateway
- Understand how to build a web application using these services
- Learn to architect a serverless application
- Gain an overview of frameworks for building serverless applications
What if you could build a web application that could support true web-scale traffic without having to ever provision or manage a single server? In this session, you will learn how to build a serverless website that scales automatically using services like AWS Lambda, Amazon API Gateway, and Amazon S3. We will review several frameworks that can help you build serverless applications, such as the AWS Serverless Application Model (AWS SAM), Chalice, and ClaudiaJS.
Serverless DevOps to the Rescue - SRV330 - re:Invent 2017Amazon Web Services
Join this workshop for a crash course in serverless DevOps! This workshops presents a scenario in which you help out Wild Rydes (www.wildrydes.com), the world’s leading unicorn transportation startup! After building the first iteration of its serverless web application, Wild Rydes needs serverless DevOps experts like yourself to help it rapidly build and iterate upon its web app. In this workshop, you’ll help Wild Rydes set up a CI/CD pipeline that enables the company to rapidly build, test, and deploy changes to its serverless application. You’ll also learn to monitor and diagnose issues for its application. This workshop will teach you how to model and deploy serverless apps with the AWS Serverless Application Model. You’ll learn to use AWS CodePipeline and AWS CodeBuild to create a CI/CD pipeline for AWS Lambda and other services. Finally, you’ll learn to use AWS X-Ray to diagnose issues in your Lambda functions.
Requirements: Laptop, AWS account, basic Git experience. Recommended: Previous experience with the AWS Management Console and AWS CloudFormation templates, some familiarity with the AWS Developer Tools services, and preferably one of the AWS Associate certifications.
Webinar: Serverless Architectures with AWS Lambda and MongoDB AtlasMongoDB
It’s easier than ever to power serverless architectures with our managed MongoDB as a service, MongoDB Atlas. In this session, we will explore the rise of serverless architectures and how they’ve rapidly integrated into public and private cloud offerings.
With AWS Lambda, you can easily build scalable microservices for mobile, web, and IoT applications or respond to events from other AWS services without managing infrastructure. In this session, you’ll see demonstrations and hear more about newly launched features. We’ll show you how to use Lambda to build web, mobile, or IoT backends and voice-enabled apps, and we'll show you how to extend both AWS and third party services by triggering Lambda functions. We’ll also provide productivity and performance tips for getting the most out of your Lambda functions and show how cloud native architectures use Lambda to eliminate “cold servers” and excess capacity without sacrificing scalability or responsiveness.
In this session, you'll learn what’s new and hot with AWS Lambda. Come learn about what we’ve been working on and what we are planning for the future. You'll get a hands-on demonstration of some our newest features.
Accenture Cloud Platform helps customers manage public and private enterprise cloud resources effectively and securely. In this session, learn how we designed and built new core platform capabilities using a serverless, microservices-based architecture that is based on AWS services such as AWS Lambda and Amazon API Gateway. During our journey, we discovered a number of key benefits, including a dramatic increase in developer velocity, a reduction (to almost zero) of reliance on other teams, reduced costs, greater resilience, and scalability. We describe the (wild) successes we’ve had and the challenges we’ve overcome to create an AWS serverless architecture at scale. Session sponsored by Accenture.
AWS Competency Partner
Compute Without Servers – Building Applications with AWS Lambda - Technical 301Amazon Web Services
AWS Lambda enables developers to build scalable applications without managing servers. Come learn how Lambda's event driven approach helps build backend ingestion systems, real time stream processing, and scalable API backends. We will deep dive into the different approaches that customers have taken to building applications with Lambda, typical architectures that customers use Lambda for, and best practices for authoring, deploying, and managing Lambda functions.
Speaker: Ajay Nair, Sr Product Manager Lambda, Amazon Web Services
Matt Chung (Independent) - Serverless application with AWS Lambda Outlyer
The talk will focus on how we are utilizing AWS Lambda for certain applications and the advantages/disadvantages, and the challenges we discovered along the way. It would help those who are looking to reduce technical debt with the infrastructure and costs.
Previously a Director of technical operations at fox networks (21st Century Fox/News Corporation) responsible for infrastructure and building deployment pipelines. Currently a Python programmer / DevOps engineer with roots in systems/networks administration. Focus is on infrastructure and application automation. Worked as an engineer for Cisco Systems with emphasis on video conferencing. Built microwave networks at Bel Air Internet. Find me on github and twitter @itsmemattchung
Video: https://www.youtube.com/watch?v=BLcElBUhfrQ
Join DevOps Exchange London here: http://www.meetup.com/DevOps-Exchange-London
Follow DOXLON on twitter http://www.twitter.com/doxlon
In this session, you'll learn what’s new and hot with AWS Lambda. Come on a tour with Dr. Tim Wagner, General Manager of AWS Lambda, to learn what we’ve been working on and what we are planning for the future. You'll get a hands-on demonstration of some our newest features which will provide you with a launching pad for some of the later sessions in the day.
SMC305 Building CI/CD Pipelines for Serverless ApplicationsAmazon Web Services
Continuous Integration and Continuous Delivery help developers rapidly and reliably release updates for their applications in a standardized and safe manner. The faster you can release new features and fix bugs, the quicker you can innovate and respond to customer needs. Serverless computing has changed the game for application development, including how to properly perform CI/CD for your application. AWS provides developer tools that help you automate the end-to-end lifecycle of your serverless application. In this session, we’ll discuss how to build multi-stage pipelines that let you build and test your application in an automated way using AWS CodePipeline and AWS CodeBuild. We’ll also cover the built-in capabilities of AWS Lambda and Amazon API Gateway that allow you to create multiple versions, stages, and environments for your serverless applications.
Just as serverless application development is rapidly becoming the most popular way to bring highly scalable applications to the cloud, .NET has undergone radical changes with .NET Core to become a premier development platform for the cloud. In this session, you will learn how to use the newly launched C# support for .NET Core with AWS Lambda to create highly scalable serverless applications that target platforms from the traditional desktop to mobile devices. We will demonstrate how to write, test, and deploy C# code to AWS Lambda and see how we can leverage our serverless back end from mobile applications.
With AWS Lambda, you can easily build scalable microservices for mobile, web, and IoT applications or respond to events from other AWS services without managing infrastructure. In this session, you’ll see demonstrations and hear more about newly launched features. We’ll show you how to use Lambda to build web, mobile, or IoT backends and voice-enabled apps, and we’ll show you how to extend both AWS and third party services by triggering Lambda functions. We’ll also provide productivity and performance tips for getting the most out of your Lambda functions and show how cloud native architectures use Lambda to eliminate “cold servers” and excess capacity without sacrificing scalability or responsiveness.
Learn about the state of Serverless after AWS re:Invent 2020. Check out the most impactful new features, and use cases for the new capabilities. Event recording (including 1hr long Q&A) is at http://YouTube.ServerlessToronto.org
LINKS FROM THE MEETUP CHAT:
Best practices in Product Management https://www.meetup.com/lean-product/
Some good PMs (Product Managers) will be here https://www.productfaculty.com/cpo-mastery
re:Invent 2020 Sessions https://virtual.awsevents.com/agenda
Amazon Aurora Serverless v2 - Instant scaling for demanding workloads https://virtual.awsevents.com/media/1_3nlad51o
OpenTelemetry & AWS X-Ray https://aws.amazon.com/blogs/opensource/enhancing-aws-x-ray-support-in-opentelemetry-javascript-sdk/
Adrian Cockcroft’s architecture trends and topics for 2021 https://virtual.awsevents.com/esearch/search?keyword=cockcroft
Dirk Froehner's talk "Application integration patterns for microservices" https://virtual.awsevents.com/media/1_6zks63br
"Tim Bray and Friends | Messaging Series" https://aws.amazon.com/messaging/twitch/
"How I started building serverless apps - the Serverless Coffee Break with Emily Shea" https://www.youtube.com/watch?v=oxHnUFMRWu8
Our Knowledge sponsor https://www.manning.com/
4 Serverless events already scheduled for 2021, RSVP at https://www.meetup.com/Serverless-Toronto/events
LINKS FROM THE PRESENTATION:
https://twitter.com/jbesw
1 ms billing https://s12d.com/1ms
Container image support for AWS Lambda https://s12d.com/OCI
https://s12d.com/extensions-intro
https://s12d.com/extensions-building
https://s12d.com/extensions-logs
Decoupling serverless workloads with Amazon EventBridge (James Beswick) https://virtual.awsevents.com/media/1_gyzid3q3
AWS Lambda – Part 1: Optimizing your serverless applications (Chris Munns) https://virtual.awsevents.com/media/1_bhnvfdgz
Best practices for securing your serverless applications (Rob Sutter) https://virtual.awsevents.com/media/1_zchhd4oh
API Gateway – Beyond the proxy (Eric Johnson) https://virtual.awsevents.com/media/1_hgw8wdl7
The serverless LAMP stack (Ben Smith) https://virtual.awsevents.com/media/1_ajbfgmdl
Becoming proficient with serverless application observability (Julian Wood) https://virtual.awsevents.com/media/1_t0qj8lcg
Resources for learning AWS https://ServerlessLand.com/learn
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You have a roadmap of how to bring your next digital innovation to market, designed to transform your business model for the future. But if the first stop on the journey of development isn’t incorporating plans for assessing quality of the end product, evaluating your overall processes, and tracking the on-going health of your development, then you are sure to discover many more costly pitfalls along the way.
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Using AWS Lambda for Infrastructure Automation and Beyond
1. Using AWS Lambda for
Infrastructure Automation
and Beyond
Mykola Turskyi
DevOps Architect, SoftServe
2. - Working in IT since 2005
- DevOps Architect at SoftServe since 2013
- Pioneered Cloud Management with Scalr
- Working with since 2007
About me
ntursky
nicktursky
mturs@softserveinc.com
6. AWS Lambda Overview
- Announced at AWS re:Invent 2014
- Public availability: Apr 2015
- Latest big update: Oct 2015
- Functions in Python
- Support for VPC
- Scheduling
- Versioning
History
15. AWS Lambda Overview
- Very small overhead on process instantiation
- Instant API availability in different regions with CloudFront
Performance
Pricing
$0.20 per 1 million requests (Free Tier: 1M/mo)
$0.016 per 1 TB/second (Free Tier: 400 TB-seconds/mo)
+ data transfers, S3, other services usage
20. Resources
• AWS Serverless Multi-Tier Architectures Using Amazon API Gateway
and AWS Lambda by AWS, Nov 2015
• https://aws.amazon.com/lambda/
• https://github.com/ntursky/aws-lambda-demo