- QuizNext is a gamified learning app for CBSE and ICSE students from grades 6-10 with over 100k users and 10 million server calls per month.
- It uses a serverless architecture on AWS with AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon S3, AWS AppSync, Amazon Cognito, and other services.
- This allows the app to scale easily and cost-effectively to support thousands of users with zero downtime and incremental deployments without capacity planning or log cleaning.
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 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.
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.
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' 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
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 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.
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.
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' 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
NEW LAUNCH! Delivering Powerful Graphics-Intensive Applications from the AWS ...Amazon Web Services
AWS provides unprecedented computational power for graphics-intensive applications in areas such as design, engineering simulations, and 3D content rendering. Together, Amazon EC2 Elastic GPUs and Amazon AppStream provide the capabilities necessary for end users to access and run these applications. In this session, you learn more about Elastic GPUs and Amazon AppStream, and how you can run graphics-intensive applications on AWS. You also hear from ANSYS, a leader in engineering simulation software, and why they are moving the ANSYS Enterprise Cloud to Elastic GPUs and Amazon AppStream to deliver a better experience for customers.
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.
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!
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!
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.
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.
Thinking Asynchronously Full Vesion - Utah UGEric Johnson
Speed matters, and developers are challenged to reduce latency in their applications at every turn. In traditional synchronous programming patterns, users are asked to monitor the spinning wheel as the application moves from one task to the next until a response can be returned. However, developers can reclaim these precious milliseconds by learning to think asynchronously. Asynchronous patterns challenge developers to evaluate what tasks require the client to wait versus what can be done after the fact. When developing serverless applications on AWS this process is made easier by the asynchronous and polling patterns that are native to AWS Lambda.
In this session I will demonstrate taking an existing translation application that is synchronous and modifying it to use asynchronous patterns. This will be accomplished using Amazon DynamoDB Streams and the recently released Amazon EventBridge.
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.
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
Deep Dive: Continuous Delivery for AI Applications with ECS - May 2017 AWS On...Amazon Web Services
Learning Objectives:
- Learn how you can use the practices of continuous integration and delivery for operationalizing data science and machine learning applications
- Learn how you can use AWS CodePipeline, AWS CloudFormation and Amazon EC2 Container Service along with MXNet to build and deploy deep learning applications
Deep learning (DL) is a computer science field derived from the Artificial Intelligence discipline. DL systems are usually developed by data scientists, who are good at mathematics and computer science. But to deploy and operationalize these models for broader use, you need the DevOps mindset and tools. In this tech talk, we’ll show you how to connect the workflow between the data scientists and DevOps.
We’ll explore basic continuous integration and delivery concepts and how they can be applied to deep learning models. Using a number of AWS services, we will showcase how you can take the output of a deep learning model and deploy it to perform predictions in real time with low latency and high availability. In particular, we will showcase the ease of deploying DL predict functions using Apache MXNet (a deep learning library), Amazon ECS, Amazon S3, and Amazon ECR, Amazon developer tools, and AWS CloudFormation.
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.
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.
Helping SEPTA with the Pope’s Visit to Philadelphia | AWS Public Sector Summi...Amazon Web Services
AWS customer Southeastern Pennsylvania Transportation Authority (SEPTA) worked with a partner to build a new website on AWS to sell 350,000 train tickets for the Pope’s visit to Philadelphia in September 2015. The site launched Monday morning on July 20 at 9:00 a.m. and was quickly overwhelmed by visitors. By 11:00 a.m. that day, ticket sales were postponed indefinitely with only 28 tickets having been sold. After the failure, AWS was engaged to help develop a solution. This session reviews what caused the problems and also explores the creative solutions that were used to make the second attempt at ticket sales a success.
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
AWS Lambda Containers - bridging the gap between serverless and containers on...Yun Zhi Lin
Video: https://youtu.be/Zg8jrAOfqEY
Feb 2021 Sydney Serverless Meetup talk on AWS Lambda Containers - bridging the gap between serverless and containers once and for all
The serverless paradigm focuses on business problems and containers are the infrastructure abstraction of choice for most developers. With AWS Lambda container support, it is now possible to combine the two worlds to focus on business problems with the certainty of immutable infrastructure and unprecedented levels of code flexibility/portability. What does this brave new world of serverless containers on AWS looks like? How easy is it to implement/migrate? Which use cases are suitable? Let’s dive deep and find out!
The State of Serverless Computing | AWS Public Sector Summit 2017Amazon Web Services
oin us to learn about the state of serverless computing from Dougal Ballantyne, Principal Product Manager, Serverless. Dougal Ballantyne discusses the latest developments from AWS Lambda and the serverless computing ecosystem. He talks about how serverless computing is becoming a core component in how companies build and run their applications and services, and he also discusses how serverless computing will continue to evolve. Learn More: https://aws.amazon.com/government-education/
NEW LAUNCH! Delivering Powerful Graphics-Intensive Applications from the AWS ...Amazon Web Services
AWS provides unprecedented computational power for graphics-intensive applications in areas such as design, engineering simulations, and 3D content rendering. Together, Amazon EC2 Elastic GPUs and Amazon AppStream provide the capabilities necessary for end users to access and run these applications. In this session, you learn more about Elastic GPUs and Amazon AppStream, and how you can run graphics-intensive applications on AWS. You also hear from ANSYS, a leader in engineering simulation software, and why they are moving the ANSYS Enterprise Cloud to Elastic GPUs and Amazon AppStream to deliver a better experience for customers.
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.
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!
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!
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.
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.
Thinking Asynchronously Full Vesion - Utah UGEric Johnson
Speed matters, and developers are challenged to reduce latency in their applications at every turn. In traditional synchronous programming patterns, users are asked to monitor the spinning wheel as the application moves from one task to the next until a response can be returned. However, developers can reclaim these precious milliseconds by learning to think asynchronously. Asynchronous patterns challenge developers to evaluate what tasks require the client to wait versus what can be done after the fact. When developing serverless applications on AWS this process is made easier by the asynchronous and polling patterns that are native to AWS Lambda.
In this session I will demonstrate taking an existing translation application that is synchronous and modifying it to use asynchronous patterns. This will be accomplished using Amazon DynamoDB Streams and the recently released Amazon EventBridge.
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.
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
Deep Dive: Continuous Delivery for AI Applications with ECS - May 2017 AWS On...Amazon Web Services
Learning Objectives:
- Learn how you can use the practices of continuous integration and delivery for operationalizing data science and machine learning applications
- Learn how you can use AWS CodePipeline, AWS CloudFormation and Amazon EC2 Container Service along with MXNet to build and deploy deep learning applications
Deep learning (DL) is a computer science field derived from the Artificial Intelligence discipline. DL systems are usually developed by data scientists, who are good at mathematics and computer science. But to deploy and operationalize these models for broader use, you need the DevOps mindset and tools. In this tech talk, we’ll show you how to connect the workflow between the data scientists and DevOps.
We’ll explore basic continuous integration and delivery concepts and how they can be applied to deep learning models. Using a number of AWS services, we will showcase how you can take the output of a deep learning model and deploy it to perform predictions in real time with low latency and high availability. In particular, we will showcase the ease of deploying DL predict functions using Apache MXNet (a deep learning library), Amazon ECS, Amazon S3, and Amazon ECR, Amazon developer tools, and AWS CloudFormation.
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.
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.
Helping SEPTA with the Pope’s Visit to Philadelphia | AWS Public Sector Summi...Amazon Web Services
AWS customer Southeastern Pennsylvania Transportation Authority (SEPTA) worked with a partner to build a new website on AWS to sell 350,000 train tickets for the Pope’s visit to Philadelphia in September 2015. The site launched Monday morning on July 20 at 9:00 a.m. and was quickly overwhelmed by visitors. By 11:00 a.m. that day, ticket sales were postponed indefinitely with only 28 tickets having been sold. After the failure, AWS was engaged to help develop a solution. This session reviews what caused the problems and also explores the creative solutions that were used to make the second attempt at ticket sales a success.
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
AWS Lambda Containers - bridging the gap between serverless and containers on...Yun Zhi Lin
Video: https://youtu.be/Zg8jrAOfqEY
Feb 2021 Sydney Serverless Meetup talk on AWS Lambda Containers - bridging the gap between serverless and containers once and for all
The serverless paradigm focuses on business problems and containers are the infrastructure abstraction of choice for most developers. With AWS Lambda container support, it is now possible to combine the two worlds to focus on business problems with the certainty of immutable infrastructure and unprecedented levels of code flexibility/portability. What does this brave new world of serverless containers on AWS looks like? How easy is it to implement/migrate? Which use cases are suitable? Let’s dive deep and find out!
The State of Serverless Computing | AWS Public Sector Summit 2017Amazon Web Services
oin us to learn about the state of serverless computing from Dougal Ballantyne, Principal Product Manager, Serverless. Dougal Ballantyne discusses the latest developments from AWS Lambda and the serverless computing ecosystem. He talks about how serverless computing is becoming a core component in how companies build and run their applications and services, and he also discusses how serverless computing will continue to evolve. Learn More: https://aws.amazon.com/government-education/
AWS re:Invent 2016 was AWS’ largest event yet with over 32,000 attendees, 400 breakout sessions, and two keynotes of new product announcements. In this talk, we’ll explore the core themes of AWS re:Invent 2016 such as serverless and artificial intelligence. We will also drill down into several of the services and features unveiled including AWS Batch, AWS Shield, Aurora for Postgres, X-Ray, Polly, Lex, Rekognition, AWS Step Functions. Light appetizers and refreshments will be provided.
Serverless Microservices - Real life story of a Web App that uses AngularJS, ...Mitoc Group
Scalable applications are by nature resource intensive, expensive to build and difficult to manage. What if we can change this perception and help developers design full-stack applications that are low cost and low maintenance? This session describes the underlying architecture behind www.deep.mg, the microservices marketplace built by Mitoc Group using AngularJS, NodeJS and powered by abstracted services like AWS Lambda, Amazon CloudFront, Amazon DynamoDB, and so on.
Eugene Istrati, Technology Partner at Mitoc Group, will dive deep into their approach to microservices architecture using serverless platform from AWS and demonstrate how anyone can use serverless computing to achieve high scalability, high availability, and high performance without huge efforts or expensive resources allocation.
AWS re:Invent 2016: Born in the Cloud; Built Like a Startup (ARC205)Amazon Web Services
This presentation provides a comparison of three modern architecture patterns that startups are building their business around. It includes a realistic analysis of cost, team management, and security implications of each approach. It covers Elastic Beanstalk, Amazon ECS, Docker, Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon CloudFront, as well as Docker.
Serverless Microservices - Real life story of a Web App that uses AWS LambdaMitoc Group
Scalable applications are by nature resource intensive, expensive to build and difficult to manage. What if we can change this perception and help developers design full-stack applications that are low cost and low maintenance? This session describes the underlying architecture behind www.deep.mg, the microservices marketplace built by Mitoc Group using AngularJS, NodeJS and powered by abstracted services like AWS Lambda, Amazon CloudFront, Amazon DynamoDB, and so on.
Eugene Istrati, Technology Partner at Mitoc Group, will dive deep into their approach to microservices architecture using serverless platform from AWS and demonstrate how anyone can use serverless computing to achieve high scalability, high availability, and high performance without huge efforts or expensive resources allocation.
Join us to learn about the state of serverless computing from Dr. Tim Wagner, General Manager of AWS Lambda. Dr. Wagner discusses the latest developments from AWS Lambda and the serverless computing ecosystem. He talks about how serverless computing is becoming a core component in how companies build and run their applications and services, and he also discusses how serverless computing will continue to evolve.
Microservices Architecture for Content Management Systems using AWS Lambda an...Mitoc Group
Content Management Systems are by nature resource intensive, expensive to customize, and difficult to manage at scale. What if we can change this perception and help PHP / WordPress developers architect a content platform that is high performance and low cost, high security and low maintenance? This talk will focus on 3 key topics: 1) serverless environment, 2) microservices architecture and 3) hands-on demos. We will describe a serverless solution and propose a scalable architecture that will help WordPress community to adopt cloud-native approach without huge efforts or expensive resources allocation.
Eugene Istrati, Technology Partner at Mitoc Group, will dive deep into their approach to microservices architecture using serverless platform from AWS and demonstrate how anyone can use serverless computing to achieve high scalability, high availability, and high performance without huge efforts or expensive resources allocation.
Building Scalable Web Applications using Microservices Architecture and Serve...Mitoc Group
Scalable applications are by nature resource intensive, expensive to build and difficult to manage. What if we can change this perception and help developers design full-stack applications that are low cost and low maintenance? This session describes the underlying architecture behind www.deep.mg, the microservices marketplace built by Mitoc Group using AngularJS, NodeJS and powered by abstracted services like AWS Lambda, Amazon CloudFront, Amazon DynamoDB, and so on.
Eugene Istrati, Technology Partner at Mitoc Group, will dive deep into their approach to microservices architecture using serverless platform from AWS and demonstrate how anyone can use serverless computing to achieve high scalability, high availability, and high performance without huge efforts or expensive resources allocation.
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
Building a Real Time Dashboard with Amazon Kinesis, Amazon Lambda and Amazon ...Amazon Web Services
Organisations today need a way to manage the ever-increasing volume of data from numerous sources such as log systems, click streams or connected devices and be able to analyse this data in real-time. In this session we will walk through an architecture demonstration of how to leverage AWS services to meet these needs.
Speaker: Ganesh Raja, Solutions Architect, Amazon Web Services
AWS re:Invent 2016: Event Handling at Scale: Designing an Auditable Ingestion...Amazon Web Services
How does McGraw-Hill Education use the AWS platform to scale and reliably receive 10,000 learning events per second? How do we provide near-real-time reporting and event-driven analytics for hundreds of thousands of concurrent learners in a reliable, secure, and auditable manner that is cost effective? MHE designed and implemented a robust solution that integrates AWS API Gateway, AWS Lambda, Amazon Kinesis, Amazon S3, Amazon Elasticsearch Service, Amazon DynamoDB, HDFS, Amazon EMR, Amazopn EC2, and other technologies to deliver this cloud-native platform across the US and soon the world. This session describes the challenges we faced, architecture considerations, how we gained confidence for a successful production roll-out, and the behind-the-scenes lessons we learned.
As serverless architectures become more popular, AWS customers need a framework of patterns to help them deploy their workloads without managing servers or operating systems.
As serverless architectures become more popular, AWS customers need a framework of patterns to help them deploy their workloads without managing servers or operating systems.
Building Efficient, Scalable and Resilient Front-end logging service with AWSAWS User Group Bengaluru
The number of internet users is increasing rapidly and so is the number of mobile/web applications. Processing and analyzing user activity is one of the techniques to observe/monitor mobile/web apps. Much of this user activity is captured by the mobile app as a structured log.
The problem we are trying to solve here is building and operating a processing backend that ingests activity data from millions of devices with availability and SLA guarantees.
This talk was presented at AWS Community Day Bengaluru 2019 by Kokilavani Kathiresan, Ravikumar Kota and Shailja Agarwala - Intuit
We'll be walking through our AWS journey wherein we'll start with our humble beginnings and how we had to scale ourselves in order to cater to our current business needs.
This talk was presented at AWS Community Day Bengaluru 2019 by Pranesh Vittal, Database Architect, Medlife.com and Prasanna Desai, Senior Build And Release Engineer, Medlife.com
CFP - AWS Community Day 2019
CFP - AWS Community Day 2019
100%
10
One of the best practices in Cloud solutions is reliability and consistency is using credentials and this session explains on how to Implement this practice using AWS Secrets Manager
Screen reader support enabled.
One of the best practices in Cloud solutions is reliability and consistency is using credentials and this session explains on how to Implement this practice using AWS Secrets Manager
This talk was presented at AWS Community Day Bengaluru 2019 by Vijayanirmala, Devops Solution lead, Sonata software limited
Exploring opportunities with communities for a successful career
This talk was presented at AWS Community Day Bengaluru 2019 by Shwetha Lakshman Rao, Sr. MTS , VMware software India & City Director - Women Who Code Bangalore and Moderated by Bhuvaneswari Subramani, AWS re:Invent Diversity Scholarship Recipient
In the talk I speak about our year long journey of implementing a distributed system that needed to run on scale, and what mistakes we made and how we learnt from them. Talk also touches on a very interesting problem of ordering writes in a distributed environment without any locking. The takeaway for the audience would be around how to approach a problem when they are solving for scale.
This talk was presented at AWS Community Day Bengaluru 2019 by Manik Jindal, Computer Scientist, Adobe
Cloud Security is critical to Data Security and Application Resilience against CyberAttacks. This talk looks at Security Best Practices that need to be practised.
This talk was presented at AWS Community Day Bengaluru 2019 by Amar Prusty, Cloud-Data Center Consultant Architect, DXC Technology
Overview and best practices in using AWS EC2 Spot Instances
Presented by Chakra Nagarajan Specialist Solutions Architect – EC2 Spot at the November 2018 AWSUGBLR Meetup
Deep dive session on Cloud Financial Management Fundamentals and Cost Optimization in AWS.
Presented by Spencer Marley, APAC BD at the November 2018 AWSUGBLR Meetup
Keynote delivered by Madhusudan Sekhar on the topic "Chaos Engineering: Why breaking things should be practiced" presented at AWS Community Day, Bangalore 2018
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
8. QuizNext- 3x Practice App for CBSE&ICSE
• Gamified learning app
• Supports real time 1:1 challenges, Delivers Quizzes, Live
completions for CBSE/ICSE 6-10
• Backed completely by serverless
• ~100K users
• 10M+ Server calls
12. QuizNext
Architecture
(AWS)
AWS Cloud
AWS Lambda
Amazon CloudWatch
Cloud Watch
Events
Amazon Cognito
AWS S3
GraphQL
AWS AppSync
Amazon DynamoDB
Amazon Pinpoint
Amazon Simple
Notification Service
Amazon Simple
Queue Service
Amazon Athena
• User data, Challenges data,
recommendations and some content
meta data
• Most of direct CRUD operations are
driven by Appsync – dynamo db
templates
• Some data access is routed through
lambda functions
Amazon DynamoDB
13. QuizNext
Architecture
(AWS)
AWS Cloud
AWS Lambda
Amazon CloudWatch
Cloud Watch
Events
Amazon Cognito
AWS S3
GraphQL
AWS AppSync
Amazon DynamoDB
Amazon Pinpoint
Amazon Simple
Notification Service
Amazon Simple
Queue Service
Amazon Athena
• Question Content storage
• Question Templates, Live
quiz questions
• Dynamo DB archived
elements
• App Images
AWS S3
14. QuizNext
Architecture
(AWS)
AWS Cloud
AWS Lambda
Amazon CloudWatch
Cloud Watch
Events
Amazon Cognito
AWS S3
GraphQL
AWS AppSync
Amazon DynamoDB
Amazon Pinpoint
Amazon Simple
Notification Service
Amazon Simple
Queue Service
Amazon Athena
• Triggered from appsync
• Event driven cleanup jobs
• ranking jobs
• test creation jobs etc
• Recommendation generations
• SQS based auto respond jobs
• In memory cache
AWS Lambda
21. Webhooks for CRM
• HA Service for sales reversal
• Not too simple, not too complex
• Unpredictable load
• Internal CRM Users
• Stateless
Amazon API Gateway
AWS Lambda
22. Payment Receiver Webhook
• HA Service
• Used only during end of the month
• High traceability and logging
• Independent DB
• CRM Integration
Amazon API Gateway
AWS Lambda
Amazon DynamoDB
23. Today at QuizNext
< 100$/Month to
support 20K active
users
AppSync 10M server
calls a month for
20$
0 downtime
Incremental
deployments
No peak time panics No log cleaning, disc
overrun etc
3 environments
automated by cloud
formation
All configurations are backed
on Git
28. Think about scale on day 1
• Is your implementation scalable?
• Can code run multi instance?
• Will your code timeout?
• DynamoDB Scan vs Query
• Indexes, Composite keys
• Host affinity?
29. Think about atomicity
• Triggers are not evil
• Resources as packages
• Explore SQS, S3, Cloudwatch etc
Update Score
Calculate Rank
Update Score
Trigger Ranker
Calculate Rank
30. Think of micro jobs
• Explore triggers
• Can we delay this?
• Can we clean it up later?
• Aggregation, rollups etc
• Look for timeouts
Update Score
Calculate Rank
31. MVP at architecture level
• Know your extension options
• Throwing hardware/resource is easy and cheaper
• Cost of redesign is smaller
Resolver
Templates
32. Think about cost
• Understand how you are billed
• Its complicated - so tag resources
• Use cost explorer and breakdown costing data
• Set min capacity for dev/test environment
33. Think about UX
• Are you writing critical data?
• When do you need confirmations
• What can be delay executed
Update Score
Calculate Rank
Update Score
Trigger Ranker
Calculate Rank
34. Be script ready
Everything is programmable
• Migrations are easy
• You can modify resources
• You can modify configs
Do not overengineer
• You can do it later
Explore tooling