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.
AWS re:Invent 2016: Building SaaS Offerings for Desktop Apps with Amazon AppS...Amazon Web Services
Amazon AppStream 2.0 is an application streaming service that provides users with instant access to their applications from anywhere, on any connected device. Delivering desktop apps from the cloud allows enterprises to manage user access easily and keep apps current; ISVs can reach more users across more devices. In this session, we cover best practices for streaming desktop applications from the AWS Cloud with Amazon AppStream 2.0, and show you how you can address advanced topics such as user authentication, security, and managing an application catalog.
AWS re:Invent 2016: Securing Container-Based Applications (CON402)Amazon Web Services
Containers have had an incredibly large adoption rate since Docker was launched, especially from the developer community, as it provides an easy way to package, ship, and run applications. Securing your container-based application is now becoming a critical issue as applications move from development into production. In this session, you learn ways to implement storing secrets, distributing AWS privileges using IAM roles, protecting your container-based applications with vulnerability scans of container images, and incorporating automated checks into your continuous delivery workflow.
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: 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: Netflix: Container Scheduling, Execution, and Integration...Amazon Web Services
Customers from over all over the world streamed forty-two billion hours of Netflix content last year. Various Netflix batch jobs and an increasing number of service applications use containers for their processing. In this session, Netflix presents a deep dive on the motivations and the technology powering container deployment on top of Amazon Web Services. The session covers our approach to resource management and scheduling with the open source Fenzo library, along with details of how we integrate Docker and Netflix container scheduling running on AWS. We cover the approach we have taken to deliver AWS platform features to containers such as IAM roles, VPCs, security groups, metadata proxies, and user data. We want to take advantage of native AWS container resource management using Amazon ECS to reduce operational responsibilities. We are delivering these integrations in collaboration with the Amazon ECS engineering team. The session also shares some of the results so far, and lessons learned throughout our implementation and operations.
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 best practices for architecting fully available and scalable Microsoft solutions and environments on AWS. Find out how Microsoft solutions can leverage various AWS services to achieve more resiliency, replace unnecessary complexity, simplify architecture, provide scalability, introduce DevOps concepts, automation, and repeatability. Plan authentication and authorization, various hybrid scenarios with other cloud environment and on premise solutions/infrastructure. Learn about common architecture patterns for Active Directory and business productivity solutions like SharePoint, Exchange and Skype for Business, also common scenarios for SQL deployments and System Center.
AWS re:Invent 2016: Building SaaS Offerings for Desktop Apps with Amazon AppS...Amazon Web Services
Amazon AppStream 2.0 is an application streaming service that provides users with instant access to their applications from anywhere, on any connected device. Delivering desktop apps from the cloud allows enterprises to manage user access easily and keep apps current; ISVs can reach more users across more devices. In this session, we cover best practices for streaming desktop applications from the AWS Cloud with Amazon AppStream 2.0, and show you how you can address advanced topics such as user authentication, security, and managing an application catalog.
AWS re:Invent 2016: Securing Container-Based Applications (CON402)Amazon Web Services
Containers have had an incredibly large adoption rate since Docker was launched, especially from the developer community, as it provides an easy way to package, ship, and run applications. Securing your container-based application is now becoming a critical issue as applications move from development into production. In this session, you learn ways to implement storing secrets, distributing AWS privileges using IAM roles, protecting your container-based applications with vulnerability scans of container images, and incorporating automated checks into your continuous delivery workflow.
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: 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: Netflix: Container Scheduling, Execution, and Integration...Amazon Web Services
Customers from over all over the world streamed forty-two billion hours of Netflix content last year. Various Netflix batch jobs and an increasing number of service applications use containers for their processing. In this session, Netflix presents a deep dive on the motivations and the technology powering container deployment on top of Amazon Web Services. The session covers our approach to resource management and scheduling with the open source Fenzo library, along with details of how we integrate Docker and Netflix container scheduling running on AWS. We cover the approach we have taken to deliver AWS platform features to containers such as IAM roles, VPCs, security groups, metadata proxies, and user data. We want to take advantage of native AWS container resource management using Amazon ECS to reduce operational responsibilities. We are delivering these integrations in collaboration with the Amazon ECS engineering team. The session also shares some of the results so far, and lessons learned throughout our implementation and operations.
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 best practices for architecting fully available and scalable Microsoft solutions and environments on AWS. Find out how Microsoft solutions can leverage various AWS services to achieve more resiliency, replace unnecessary complexity, simplify architecture, provide scalability, introduce DevOps concepts, automation, and repeatability. Plan authentication and authorization, various hybrid scenarios with other cloud environment and on premise solutions/infrastructure. Learn about common architecture patterns for Active Directory and business productivity solutions like SharePoint, Exchange and Skype for Business, also common scenarios for SQL deployments and System Center.
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.
Amazon Lumberyard is a free, cross-platform, 3D game engine for you to create the highest-quality games, connect your games to the vast compute and storage of the AWS Cloud, and engage fans on Twitch. Amazon GameLift, a managed service for deploying, operating, and scaling session-based multiplayer games, reduces the time required to build a multiplayer backend from thousands of hours to just minutes. Available for developers using Amazon Lumberyard, Amazon GameLift is built on AWS’s highly available cloud infrastructure and allows you to quickly scale high-performance game servers up and down to meet player demand – without any additional engineering effort or upfront costs.
Learn more about the role and tasks of a container management solution and analyze how four common container management solutions - Amazon EC2 Container Service, Docker for AWS, Kubernetes, and Apache Mesos - stack against each other.
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 re:Invent 2016: [JK REPEAT] Serverless Architectural Patterns and Best Pr...Amazon Web Services
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. This session introduces and describes four re-usable serverless patterns for web apps, stream processing, batch processing, and automation. For each, we provide a TCO analysis and comparison with its server-based counterpart. We also discuss the considerations and nuances associated with each pattern and have customers share similar experiences. The target audience is architects, system operators, and anyone looking for a better understanding of how serverless architectures can help them save money and improve their agility.
AWS re:Invent 2016: From Monolithic to Microservices: Evolving Architecture P...Amazon Web Services
Gilt, a global e-commerce company, implemented a sophisticated microservices architecture on AWS to handle millions of customers visiting their site at noon every day. The microservices architecture pattern enables independent service scaling, faster deployments, better fault isolation, and graceful degradation. In this session, Emerson Loureiro, Sr. Software Engineer at Gilt, will share Gilt's experiences and lessons learned during their evolution from a single monolithic Rails application in a traditional data center to more than 300 Scala/Java microservices deployed in the cloud. Derek Chiles, AWS Solutions Architect, will review best practices and recommended architectures for deploying microservices on AWS.
Learn best practices for architecting fully available and scalable Microsoft solutions and environments on AWS. Find out how Microsoft solutions can leverage various AWS services to achieve more resiliency, replace unnecessary complexity, simplify architecture, provide scalability, introduce DevOps concepts, automation, and repeatability. Plan authentication and authorization, various hybrid scenarios with other cloud environment and on premise solutions/infrastructure. Learn about common architecture patterns for Active Directory and business productivity solutions like SharePoint, Exchange and Skype for Business, also common scenarios for SQL deployments and System Center.
SEC306 Using Microsoft Active Directory Across On-Premises and AWS Cloud Wind...Amazon Web Services
Do you have questions on how to best use Microsoft Active Directory with your AWS Windows workloads? Do you need a deep-dive on securely setting up trusts between your on-premises Active Directory and your AWS Directory Services for Microsoft Active Directory? This session will help you understand the differences between AWS Directory Service for Microsoft AD, building your own Microsoft Active Directory on Amazon EC2, or joining your cloud resources to your on-premises Active Directory over a direct network connection. After this session you will be an expert on how to setup single sign-on for your cloud applications and resources, using Group Policy for your EC2 systems, and how to securely configure trusts across your on-premises and AWS Cloud Active Directories.
AWS re:Invent 2016: Best Practices for Integrating Active Directory with AWS ...Amazon Web Services
Active Directory (AD) is essential for Windows workloads in the cloud. AWS offers customers multiple ways to integrate AD with cloud workloads like EC2, RDS, and AWS Enterprise Applications: AWS Directory Service for Microsoft Active Directory (Enterprise Edition) as a managed service and Active Directory running on AWS EC2 Windows instances. Which option is right for you? This session will discuss the key deployment considerations for each option to help you identify which best meets your project goals, and the effort involved. The session will cover options for integrating with your on-premises directory, port and security considerations, application considerations, and best practices.
AWS re:Invent 2016: How Gree Launched New Games Faster and More Securely with...Amazon Web Services
Gree is a gaming company with the distinction of launching the world’s first mobile social game in 2007 and later went on to develop a rich portfolio of original games. With an active acquisition and development strategy, Gree is transforming the way games are built. Learn how Gree leveraged Amazon VPCs and Aviatrix Enterprise cloud-defined networking in AWS Marketplace to rapidly integrate acquisitions and develop new games to maintain competitive differentiation in this fast moving segment. Hear about the use case, requirements and lessons learned. Learn how you can transitioned to Amazon VPCs in the middle of the development process.
Monitoring in Motion: Monitoring Containers and Amazon ECSAmazon Web Services
Containers and other forms of dynamic infrastructure can prove challenging to monitor. How do you define normal, when your infrastructure is intentionally in motion and change from minute to minute? Join us as we discuss proven strategies for monitoring your containerized infrastructure on AWS and ECS.
AWS provides security capabilities and services to provide control over your AWS resources, how they are accessed, who can access them, and what privileges they are allowed. Access Management, Identity management, change control, and auditing can all be achieved both at a macro and granular level. In this session we’ll explore services such as AWS Identity Access Management (IAM), AWS CloudTrail, Amazon Directory Service and Amazon Inspector, so that you understand how use them effectively to manage user privilege and access. We’ll also look at Amazon Virtual Private Cloud (VPC) and how to use it’s features to build security at the network access layer. After this session you should understand and be able to: Configure Users, Groups, and Roles to manage actions, Configure monitoring and logging to audit changes in your system, and Design your AWS network using VPC for security.
AWS re:Invent 2016: Deploying and Managing .NET Pipelines and Microsoft Workl...Amazon Web Services
In this session, we’ll look at the AWS services that customers are using to build and deploy Microsoft-based solutions that use technologies like Windows, .NET, SQL Server, and PowerShell. We’ll start by showing you how to build a Windows-based CI/CD pipeline on AWS using AWS CodeDeploy, AWS CodePipeline, AWS CloudFormation, and PowerShell using an AWS Quick Start. We’ll also cover best practices for how you can create templates that let you automatically deploy ready-to-use Windows products by leveraging services and tools like AWS CloudFormation, PowerShell, and Git. Woot, an online retailer for electronics, will share how it moved from using a complex mix of custom PowerShell code for its DevOps processes to using services like Amazon EC2 Simple Systems Manager (SSM), AWS CodeDeploy, and AWS Directory Service. This migration eliminated the need for complex PowerShell scripts and reduced the operational complexity of performing operational tasks like renaming servers, joining domains, and securely handling keys.
Getting Started with AWS Lambda and the Serverless Cloud - AWS Summit Cape T...Amazon 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 Speaker : Danilo Poccia, Technical Evangelist - Amazon Web Services
AWS re:Invent 2016: Taking DevOps to the AWS Edge (CTD302)Amazon Web Services
In this session, we dive deep into how you can integrate Amazon CloudFront and related services into your application, be agile in developing and adapting the application, and follow best practices when configuring the services to improve security and performance, all while reducing costs. Attend this session and learn how to avoid needless forwarding of headers and cookies, test your application when making changes to the origin, version your configuration changes, monitor usage and automate security, create templates for new distributions, configure SSL/TLS certificates, and more.
Microservices is a software architectural method where you decompose complex applications into smaller, independent services. Containers are great for running small decoupled services, but how do you coordinate running microservices in production at scale and what AWS services do you use?
In this session, we will explore the reasoning and concepts behind microservices and how containers simplify building microservices based applications. We will also demonstrate how you can easily launch microservices on Amazon EC2 Container Service and how you can use ELB and Route 53 to easily do service discovery between microservices.
This session discusses aspects of AWS' own organisational and operational practices for embedding security into highly-scaled service provision, and covers tools for monitoring actions at an AWS asset level and automating responses to them, as well as robustly preventing various undesirable activities from occurring and enforcing multi-eyes rules for security-sensitive operations. We also touch briefly on the importance of building automated security checking into your CI/CD pipelines, where to do so, and how AWS CI/CD tools can be used to integrate security testing and rollback to safe states.
AWS Speaker: Dave Walker, Specialist Solutions Architect, Security and Compliance - Amazon Web Services
Customer Speaker: Timothy Stranex, CTO - Luno
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.
AWS re:Invent 2016: Serverless Architectural Patterns and Best Practices (ARC...Amazon Web Services
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. This session introduces and describes four re-usable serverless patterns for web apps, stream processing, batch processing, and automation. For each, we provide a TCO analysis and comparison with its server-based counterpart. We also discuss the considerations and nuances associated with each pattern and have customers share similar experiences. The target audience is architects, system operators, and anyone looking for a better understanding of how serverless architectures can help them save money and improve their agility.
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.
Amazon Lumberyard is a free, cross-platform, 3D game engine for you to create the highest-quality games, connect your games to the vast compute and storage of the AWS Cloud, and engage fans on Twitch. Amazon GameLift, a managed service for deploying, operating, and scaling session-based multiplayer games, reduces the time required to build a multiplayer backend from thousands of hours to just minutes. Available for developers using Amazon Lumberyard, Amazon GameLift is built on AWS’s highly available cloud infrastructure and allows you to quickly scale high-performance game servers up and down to meet player demand – without any additional engineering effort or upfront costs.
Learn more about the role and tasks of a container management solution and analyze how four common container management solutions - Amazon EC2 Container Service, Docker for AWS, Kubernetes, and Apache Mesos - stack against each other.
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 re:Invent 2016: [JK REPEAT] Serverless Architectural Patterns and Best Pr...Amazon Web Services
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. This session introduces and describes four re-usable serverless patterns for web apps, stream processing, batch processing, and automation. For each, we provide a TCO analysis and comparison with its server-based counterpart. We also discuss the considerations and nuances associated with each pattern and have customers share similar experiences. The target audience is architects, system operators, and anyone looking for a better understanding of how serverless architectures can help them save money and improve their agility.
AWS re:Invent 2016: From Monolithic to Microservices: Evolving Architecture P...Amazon Web Services
Gilt, a global e-commerce company, implemented a sophisticated microservices architecture on AWS to handle millions of customers visiting their site at noon every day. The microservices architecture pattern enables independent service scaling, faster deployments, better fault isolation, and graceful degradation. In this session, Emerson Loureiro, Sr. Software Engineer at Gilt, will share Gilt's experiences and lessons learned during their evolution from a single monolithic Rails application in a traditional data center to more than 300 Scala/Java microservices deployed in the cloud. Derek Chiles, AWS Solutions Architect, will review best practices and recommended architectures for deploying microservices on AWS.
Learn best practices for architecting fully available and scalable Microsoft solutions and environments on AWS. Find out how Microsoft solutions can leverage various AWS services to achieve more resiliency, replace unnecessary complexity, simplify architecture, provide scalability, introduce DevOps concepts, automation, and repeatability. Plan authentication and authorization, various hybrid scenarios with other cloud environment and on premise solutions/infrastructure. Learn about common architecture patterns for Active Directory and business productivity solutions like SharePoint, Exchange and Skype for Business, also common scenarios for SQL deployments and System Center.
SEC306 Using Microsoft Active Directory Across On-Premises and AWS Cloud Wind...Amazon Web Services
Do you have questions on how to best use Microsoft Active Directory with your AWS Windows workloads? Do you need a deep-dive on securely setting up trusts between your on-premises Active Directory and your AWS Directory Services for Microsoft Active Directory? This session will help you understand the differences between AWS Directory Service for Microsoft AD, building your own Microsoft Active Directory on Amazon EC2, or joining your cloud resources to your on-premises Active Directory over a direct network connection. After this session you will be an expert on how to setup single sign-on for your cloud applications and resources, using Group Policy for your EC2 systems, and how to securely configure trusts across your on-premises and AWS Cloud Active Directories.
AWS re:Invent 2016: Best Practices for Integrating Active Directory with AWS ...Amazon Web Services
Active Directory (AD) is essential for Windows workloads in the cloud. AWS offers customers multiple ways to integrate AD with cloud workloads like EC2, RDS, and AWS Enterprise Applications: AWS Directory Service for Microsoft Active Directory (Enterprise Edition) as a managed service and Active Directory running on AWS EC2 Windows instances. Which option is right for you? This session will discuss the key deployment considerations for each option to help you identify which best meets your project goals, and the effort involved. The session will cover options for integrating with your on-premises directory, port and security considerations, application considerations, and best practices.
AWS re:Invent 2016: How Gree Launched New Games Faster and More Securely with...Amazon Web Services
Gree is a gaming company with the distinction of launching the world’s first mobile social game in 2007 and later went on to develop a rich portfolio of original games. With an active acquisition and development strategy, Gree is transforming the way games are built. Learn how Gree leveraged Amazon VPCs and Aviatrix Enterprise cloud-defined networking in AWS Marketplace to rapidly integrate acquisitions and develop new games to maintain competitive differentiation in this fast moving segment. Hear about the use case, requirements and lessons learned. Learn how you can transitioned to Amazon VPCs in the middle of the development process.
Monitoring in Motion: Monitoring Containers and Amazon ECSAmazon Web Services
Containers and other forms of dynamic infrastructure can prove challenging to monitor. How do you define normal, when your infrastructure is intentionally in motion and change from minute to minute? Join us as we discuss proven strategies for monitoring your containerized infrastructure on AWS and ECS.
AWS provides security capabilities and services to provide control over your AWS resources, how they are accessed, who can access them, and what privileges they are allowed. Access Management, Identity management, change control, and auditing can all be achieved both at a macro and granular level. In this session we’ll explore services such as AWS Identity Access Management (IAM), AWS CloudTrail, Amazon Directory Service and Amazon Inspector, so that you understand how use them effectively to manage user privilege and access. We’ll also look at Amazon Virtual Private Cloud (VPC) and how to use it’s features to build security at the network access layer. After this session you should understand and be able to: Configure Users, Groups, and Roles to manage actions, Configure monitoring and logging to audit changes in your system, and Design your AWS network using VPC for security.
AWS re:Invent 2016: Deploying and Managing .NET Pipelines and Microsoft Workl...Amazon Web Services
In this session, we’ll look at the AWS services that customers are using to build and deploy Microsoft-based solutions that use technologies like Windows, .NET, SQL Server, and PowerShell. We’ll start by showing you how to build a Windows-based CI/CD pipeline on AWS using AWS CodeDeploy, AWS CodePipeline, AWS CloudFormation, and PowerShell using an AWS Quick Start. We’ll also cover best practices for how you can create templates that let you automatically deploy ready-to-use Windows products by leveraging services and tools like AWS CloudFormation, PowerShell, and Git. Woot, an online retailer for electronics, will share how it moved from using a complex mix of custom PowerShell code for its DevOps processes to using services like Amazon EC2 Simple Systems Manager (SSM), AWS CodeDeploy, and AWS Directory Service. This migration eliminated the need for complex PowerShell scripts and reduced the operational complexity of performing operational tasks like renaming servers, joining domains, and securely handling keys.
Getting Started with AWS Lambda and the Serverless Cloud - AWS Summit Cape T...Amazon 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 Speaker : Danilo Poccia, Technical Evangelist - Amazon Web Services
AWS re:Invent 2016: Taking DevOps to the AWS Edge (CTD302)Amazon Web Services
In this session, we dive deep into how you can integrate Amazon CloudFront and related services into your application, be agile in developing and adapting the application, and follow best practices when configuring the services to improve security and performance, all while reducing costs. Attend this session and learn how to avoid needless forwarding of headers and cookies, test your application when making changes to the origin, version your configuration changes, monitor usage and automate security, create templates for new distributions, configure SSL/TLS certificates, and more.
Microservices is a software architectural method where you decompose complex applications into smaller, independent services. Containers are great for running small decoupled services, but how do you coordinate running microservices in production at scale and what AWS services do you use?
In this session, we will explore the reasoning and concepts behind microservices and how containers simplify building microservices based applications. We will also demonstrate how you can easily launch microservices on Amazon EC2 Container Service and how you can use ELB and Route 53 to easily do service discovery between microservices.
This session discusses aspects of AWS' own organisational and operational practices for embedding security into highly-scaled service provision, and covers tools for monitoring actions at an AWS asset level and automating responses to them, as well as robustly preventing various undesirable activities from occurring and enforcing multi-eyes rules for security-sensitive operations. We also touch briefly on the importance of building automated security checking into your CI/CD pipelines, where to do so, and how AWS CI/CD tools can be used to integrate security testing and rollback to safe states.
AWS Speaker: Dave Walker, Specialist Solutions Architect, Security and Compliance - Amazon Web Services
Customer Speaker: Timothy Stranex, CTO - Luno
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.
AWS re:Invent 2016: Serverless Architectural Patterns and Best Practices (ARC...Amazon Web Services
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. This session introduces and describes four re-usable serverless patterns for web apps, stream processing, batch processing, and automation. For each, we provide a TCO analysis and comparison with its server-based counterpart. We also discuss the considerations and nuances associated with each pattern and have customers share similar experiences. The target audience is architects, system operators, and anyone looking for a better understanding of how serverless architectures can help them save money and improve their agility.
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.
AWS re:Invent 2016: Building Complex Serverless Applications (GPST404)Amazon Web Services
Provisioning, scaling, and managing physical or virtual servers—and the applications that run on them—has long been a core activity for developers and system administrators. The expanding array of managed AWS cloud services, including AWS Lambda, Amazon DynamoDB, Amazon API Gateway and more, increasingly allows organizations to focus on delivering business value without worrying about managing the underlying infrastructure or paying for idle servers and other fixed costs of cloud services. In this session, we discuss the design, development, and operation of these next-generation solutions on AWS. Whether you're developing end-user web applications or back-end data processing systems, join us in this session to learn more about building your applications without servers.
Chatbots are the new apps. Businesses of all sizes, from startups to enterprises, are looking for new ways to connect with their users through natural, conversational interfaces. Developers have started using chatbots to improve the productivity and efficiency of their operations. In this session, we show how to use AWS Lambda and other serverless offerings from AWS to build chatbots quickly and efficiently. We share examples from our recently concluded AWS Slack Hackathon with a full walkthrough of building a conversational chatbot in an easy, fast, and fun way, along with helpful tools, tips, and techniques.
AWS re:Invent 2016: Using AWS Lambda to Build Control Systems for Your AWS In...Amazon Web Services
Defining infrastructure resource policies in an organized manner can help your company better manage its infrastructure resources.
This session familiarizes 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 demonstrate how you can build a rules engine for creating, monitoring, and managing policies. This is all done using Alexa and Alexa Skills Kit.
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.
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 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 connect and step through a series of AWS Lambda functions so that you can build and run multi-step applications in a matter of minutes. This session shows how to use AWS Step Functions to create, run, and debug cloud state machines to execute parallel, sequential, and branching steps of your application, with automatic catch and retry conditions. We share how customers are using AWS Step Functions to reliably scale multi-step applications such as order processing, report generation, and data transformation–all without managing any infrastructure.
AWS re:Invent 2016: FINRA in the Cloud: the Big Data Enterprise (ENT313)Amazon Web Services
Large-scale enterprise migration can be a complex undertaking, especially for organizations that re-architect solutions to leverage the benefits of the Cloud. FINRA, which regulates US equities and options markets, recently completed a 2.5-year migration and re-architecture of its Big Data platform. Their platform consumes billions of market events every day. FINRA has developed scalable platforms and services on AWS that enable migrating enterprise applications and business functions to the Cloud quickly. Their data management platform takes advantage of AWS storage and compute products. In this session, IT influencers and decision makers will learn lessons from FINRA’s migration, including how to create an enterprise-class Cloud architecture and which technology skills are required for transitioning to the Cloud. We also share examples of the business value FINRA has realized.
AWS re:Invent 2016: Learn How FINRA Aligns Billions of Time Ordered Events wi...Amazon Web Services
FINRA is a leader in the Financial Services industry who sought to move toward real-time data insights of billions of time-ordered market events by migrating from SQL batch processes on-prem, to Apache Spark in the cloud. By using Apache Spark on Amazon EMR, FINRA can now test on realistic data from market downturns, enhancing their ability to provide investor protection and promote market integrity (FINRA enacts rules and provides guidance that securities exchanges & brokers must follow). By using AWS Spot instances, FINRA has saved up to 50% from its on premises solution, increased elasticity/scalability, and accelerated reprocessing requests (from months to days). Learn best practices on how FINRA moves toward real-time data analytics with Spark and AWS, while managing production workloads in parallel, increasing performance and IT efficiency, reducing cost, and modernizing and scaling their infrastructure to prepare for real-time processing in the future.
AWS re:Invent 2016: Deep-Dive: Native, Hybrid and Web patterns with Serverles...Amazon Web Services
In this deep-dive session, we outline how to leverage the appropriate AWS services for sending different types and sizes of data, such as images or streaming video. We'll cover common real-world scenarios related to authentication/authorization, access patterns, data transfer and caching for more performant Mobile Apps. You learn when you should access services such as Amazon Cognito, Amazon DynamoDB, Amazon S3, or Amazon Kinesis directly from your mobile app, and when you should route through Amazon API Gateway and AWS Lambda instead. Additionally, we cover coding techniques across the native, hybrid, and mobile web using popular open-source frameworks to perform these actions efficiently, and with a smooth user experience.
Ever wished you had a list of cheat codes to unleash the full power of AWS Lambda for your production workload? Come learn how to build a robust, scalable, and highly available serverless application using AWS Lambda. In this session, we discuss hacks and tricks for maximizing your AWS Lambda performance, such as leveraging customer reuse, using the 500 MB scratch space and local cache, creating custom metrics for managing operations, aligning upstream and downstream services to scale along with Lambda, and many other workarounds and optimizations across your entire function lifecycle.
You also learn how Hearst converted its real-time clickstream analytics data pipeline from a server-based model to a serverless one. The infrastructure of the data pipeline relied on Amazon EC2 instances and cron jobs to shepherd data through the process. In 2016, Hearst converted its data pipeline architecture to a serverless process that relies on event triggers and the power of AWS Lambda. By moving from a time-based process to a trigger-based process, Hearst improved its pipeline latency times by 50%.
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.
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.
AWS re:Invent 2016: Workshop: Building Serverless Bots on AWS - Botathon (DCS...Amazon Web Services
In this session we will learn about building Serverless Bots using AWS Services. We will explore contemporary examples of Bots and Serverless architectural building blocks needed to build a Bot. Taking few sample Bots, we will dive deeper into the AWS Services used to build them. The focus will be on Serverless architectural components such as Lambda, API Gateway, Alexa Skills Kit, etc. We will explore different interfaces, voice (eg. Alexa) and text (eg. Slack). We will also discuss about building intelligent Bots.
In the hands on session, the participants will build a Serverless Bot. Participants are free to choose any theme for their Bot, although guidance will be provided on few starter ideas. The participants will be grouped into teams and will have access to starter code, libraries so that they can focus on building their unique bot rather than the underlying undifferentiated heavy lifting. At the end of the hour, the Bots get voted on and the winning Bot is demoed. Through this workshop, the participants will get a deeper understanding of Serverless AWS Services and how to use them to build a Serverless Bot.
Prerequisites:
Participants should have an AWS account established and available for use during the workshop.
Please bring your own laptop.
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 will learn about the benefits of serverless architectures and the basics of the serverless stack AWS provides. We will also walk through how you can use serverless architectures for everything from data processing to mobile and web backends.
AWS DevDay San Francisco, June 21, 2016.
Presenter: Jeremy Edberg, Co-Founder, CloudNative, & AWS Community Hero
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.
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/
Stephen Liedig: Building Serverless Backends with AWS Lambda and API GatewaySteve Androulakis
Stephen Liedig (Amazon Web Services) is a Public Sector Solutions Architect at AWS working closely with local and state governments, educational institutions, and non-profit organisations across Australia and New Zealand to design, and deliver, highly secure, scalable, reliable and fault-tolerant architectures in the AWS Cloud while sharing best practices and current trends, with a specific focus on DevOps, messaging, and serverless technologies.
Building serverless app_using_aws_lambda_b4usolutionHoa Le
Scaling applications is a big problem whether your applications are deployed on-premises or on the cloud, that means you have to provision and manage servers such as how much CPU, storage and database power that applications need.
2016-06 - Design your api management strategy - AWS - Microservices on AWSSmartWave
Morning session started with a presentation on working with a micro-services API gateway in hybrid architectures, by Jean-Pierre LeGoaller, Architect at AWS. We learned how to greatly reduce coding efforts, make applications far more efficient, and decrease errors all at the same time, using small and flexible Micro-services with an API Gateway. Jean-Pierre then illustrated the benefits of AWS lambda function to run seamlessly codes as a service in AWS high-availability compute infrastructure.
Running solutions in Amazon Web Services can help you get your applications up and running faster. By harnessing the power of the Amazon Web Services platform services you no longer have to focus on the underlying infrastructure, but instead you can focus on your application and business logic. This session will enable you to learn about the rich array of Amazon Web Services platform services available, find out how other customers are leveraging platform services and identify which services are relevant to your business. This session also includes a demonstration of Amazon Web Services for compute, database and deployment which you can use to accelerate your cloud adoption journey.
Mark Statham, Senior Cloud Architect - Professional Services, Amazon Web Services, ASEAN
Introducing to serverless computing and AWS lambda - Israel Clouds MeetupBoaz Ziniman
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.
by Rahul Sareen, Sr. IoT Consultant, AWS Professional 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.
This presentation from the AWS Lab at Cloud Expo Europe 2014 contains details of newly announced services from Amazon Web Services, including Amazon Kinesis, Amazon WorkSpaces, AWS CloudTrail (beta), Amazon AppStream and Amazon RDS for PostgreSQL (beta)
AWS FSI Symposium 2017 NYC - Moving at the Speed of Serverless ft BroadridgeAmazon Web Services
AWS’ suite of serverless technology has enabled enterprises in Financial Services to move quickly from conception to reality. By leveraging AWS, you can run code without provisioning or managing servers—and you only pay for what you use. In this session, we will walk through how we worked with Broadridge to take their Experience Manager application from design to deployment and provide details around how numerous AWS services were leveraged, including Cognito, Lambda, S3, DynamoDB, and SES. We will also dive into how the use of serverless technology can enable developers to move quickly, while improving security postures, minimizing management, and simplifying operations.
Deep Dive on AWS Lambda - January 2017 AWS Online Tech TalksAmazon Web Services
AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume - there is no charge when your code is not running. With Lambda, you can run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app. In this session, we dive deep into AWS Lambda to learn about capabilities, features and benefits.
Learning Objectives:
• Dive deep into AWS Lambda
• Learn about the capabilities, features and benefits of AWS Lambda
• Learn about the different use cases
• Learn how to get started using AWS Lambda
Similar to AWS re:Invent 2016: The State of Serverless Computing (SVR311) (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
Durante i laboratori pratici, gli esperti AWS ti mostrano quali strumenti aiutano a sviluppare le applicazioni Serverless in locale e nel cloud AWS e ti aiuteranno a programmare i prossimi passi per iniziare ad utilizzare questa tecnologia nella tua azienda.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
4. Let’s take a look at the evolution of computing
Physical servers
in datacenters
Virtual servers
in datacenters
Virtual servers
in the cloud
5. Each progressive step was better
Physical Servers
Datacenters
Virtual Servers
Datacenters
• Higher utilization
• Faster provisioning speed
• Improved uptime
• Disaster recovery
• Hardware independence
• Trade CAPEX for OPEX
• More scale
• Elastic resources
• Faster speed and agility
• Reduced maintenance
• Better availability and fault
tolerance
Virtual servers
in the cloud
6. But there are still limitations
Physical Servers
Datacenters
Virtual Servers
Datacenters
• Trade CAPEX for OPEX
• More scale
• Elastic resources
• Faster speed and agility
• Reduced maintenance
• Better availability and fault
tolerance
• Still need to administer
virtual servers
• Still need to manage
capacity and utilization
• Still need to size
workloads
• Still need to manage
availability, fault tolerance
• Still expensive to run
intermittent jobs
Virtual servers
in the cloud
8. No server is easier to manage than no server
All of these responsibilities
go away
Provisioning and utilization
Availability and fault tolerance
Scaling
Operations and management
10. Building blocks for serverless applications
AWS Lambda Amazon DynamoDB
Amazon SNS
Amazon API Gateway
Amazon SQS
Amazon Kinesis
Amazon S3
Orchestration and State Management
API Proxy Messaging and Queues Analytics
Monitoring and Debugging
Compute Storage Database
AWS X-RayAWS Step Functions
11. Serverless changes how you deliver
Speeds up
time to market
Dedicated time
to innovation
Increases developer
productivity
Eliminates operational
complexity
13. Chatbots
• Powering
chatbot logic
Amazon
Alexa
• Powering
voice-enabled
apps
• Alexa Skills Kit
Common use cases
Web
applications
• Static
websites
• Dynamic
web apps
• Packages for
Flask and
Express
Data
processing
• Real time
• MapReduce
• Batch
Back ends
• Apps &
services
• Mobile
• IoT
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15. Enterprises are achieving massive scale with Lambda
• Thomson Reuters processes 4,000 requests per second
• FINRA processes half a trillion validations of stock trades daily
• Hearst reduced the time to ingest and process data for its
analytics pipeline by 97%
• Vevo can handle spikes of 80x normal traffic
• Expedia triggers 1.2 billion Lambda requests each month
16. Content services
• Re-architected the platform from
the ground up
• Uses microservices architecture
• Can handle spikes of up to 80x
normal traffic
Serverless powers Vevo’s critical applications
17. Data services
• Built its data platform starting
from zero
• Serverless architecture:
AWS Lambda, Amazon Kinesis,
Amazon Redshift, Amazon
DynamoDB, Amazon S3, etc.
• New platform went into
production in <12 months
Serverless powers Vevo’s critical applications
22. It’s more than just ½ Trillion validations…
Volume Varies
Daily & Hourly
• Driven by world events in financial, government, etc.
• Hourly volume varies; max of 75B elements per hour
• Daily volume can vary 2-3x due to market events
Validation
rules expand
over time
• Data must meet a defined specification
• SEC/FINRA adding/reviewing rules regularly
• >200 rules today; >100+ derivations
SLA
Expectations
Don’t Change
• Timely feedback so data can be corrected to meet SLA
• Invalid or late data = $$ fines
5
23. Traditional on premise solution
• Static Hadoop Cluster, processing files in batches
• Required to be available 24/5
• Map-only job scheduled every 10 minutes
On premise data center
NAS
DB
FTP
Incoming
Files
6
24. Challenges with our on premise solution
• Not easily scalable = sized for peak demand
• Idle 50% of time
• Higher costs
• Required ongoing costly server/software maintenance
• Originally designed for batch processing
7
25. Goals for our new solution
• Support volume spikes on-demand
• Get out of infrastructure management
• Don’t pay for peak all the time, pay for what we use
• Can we improve the time of availability of data
8
28. Lambda centered AWS Solution
• Validator implemented using
Lambda
• Queues provide input/output
notification from system
• Controller manages data
feeds into Lambda and
notifications out of Lambda
• Data on S3 in Herd
On premise data center
NAS
FTP
Incoming
Files
Validation
Lambda Account
Controller
Consumer
…
11
29. Our Results – Faster, Cheaper, More Scalable
• Reduced cost, only pay for what we use
• Reduce by over 50%
• Processing times have been reduced
• Goal is regardless of volume, any file avail in <1m
• Errors handled on a finer grained basis
• Horizontal scaling improved
• We have seen volume spikes >3x with no impact
• Less infrastructure to manage
12
30. FINRA’s Future Plans
• Eliminate the EC2 based controller
• Considering for other ETL processing within FINRA
• Rethink how we can use Lambda for other applications
• Continue push to provide near real-time throughput
17
36. NEW
Cloud logic layer
C#
C# language support
• Powered by .NET Core 1.0 release
• Supports functions packaged as DLLs
• Built in support for NuGet packages
• Author and deploy C# functions using Visual
Studio to AWS Lambda
37. NEW
Cloud logic layer
Amazon API Gateway
binary encoding
• Serve images, audio, video or other binary
data through APIs
• Encode to Base64 or decode to binary
• Automatic encoding to Base64 for AWS
Lambda functions
38. NEW
Cloud logic layer
Amazon API Gateway
documentation generation
• Document your APIs for better developer
experience
• Support for documentation per Swagger
specifications
• Support for separate workflows – tech writer vs API
developer
39. NEW
Cloud logic layer
Amazon Lex
• Chatbots for Facebook and AWS Mobile Hub
• Powered by the same technology as Alexa
• Efficient and intuitive tools to build
conversations
• Scales automatically
• Connects to enterprise systems
• Slack and Twilio integration coming soon
45. NEW
Reliability and performance
Dead Letter Queues
• Automatically capture events after
exhausting retries
• Build even more reliable event processing
applications
• Target Amazon SQS queues or Amazon
SNS topics
49. AWS Serverless Application Model (SAM)
Standard model for
representing serverless
applications on AWS
Functions, APIs, event
sources, and data stores
Simplifies deployment and
management for serverless
applications
50. AWS Serverless Application Model (SAM)
• Natively supported by AWS
CloudFormation
• Export any function as a SAM
template
• Package and deploy SAM
templates using AWS CLI
• Open spec under Apache 2.0
for community extensions
51. Developer ecosystem — AWS
</>
AWS CodePipeline + SAM
GitHub
Amazon S3
AWS CodeCommit
AWS CodeBuild AWS CodeBuild
third-party tools
AWS CloudFormation
Commit Build Test
Deploy
to Prod
52. Developer ecosystem — AWS
How do you debug distributed applications
made of multiple functions or services?
How do you gain insights into how your
functions are performing or behaving?
53. Introducing AWS X-Ray (in preview)
• Analyze and debug distributed
apps in production
• Visualize service call graph of
your app
• Identify performance
bottlenecks and errors
• Pinpoint service-specific issues
• Identify impact of issues on
users of the app
• Lambda support coming soon
59. 1. A concept used by
CompSci profs for
torturing undergrads,
full of arcane math
2. A practical way to build
and manage modern
serverless apps
“State machine” (noun)
60. “I want to sequence functions”
“I want to call functions based on data”
“I want more control over retries”
“I want try/catch/finally”
“I have a workflow that runs for hours”
“I want to run functions in parallel”
Orchestration and state management
61. Introducing AWS Step Functions
Run cloud state machines
Coordinate components of multi-
step apps
Visualize application as a series of
steps
Handles thousands of workflows
and millions of simultaneous steps
63. Introducing Lambda@Edge (in preview)
Lambda is now available in
all Amazon CloudFront
edge locations
• Low-latency
request/response
customization
• Supporters viewer and
origin events
64. Introducing AWS Greengrass (in preview)
• Extends AWS processing on devices
• Low latency, near-real time
66. Conclusion
Lambda is a fundamental
component of modern
application architectures
It has a place in everything
from data processing to
simple web apps