This document provides an overview of a presentation about quick stack building using AWS CDK and infrastructure as code. The presentation introduces AWS CDK and infrastructure as code, discusses CloudFormation and CDK, and provides tips. Slides from the presentation will be made available online later.
Discuss the basics of the AWS CDK with its pros and cons. Including how the Cloud Development Kit (CDK) helped overcome the challenges faced in their previous serverless IaC solution.
Github repo for the PoC Source Code: https://github.com/dtl-open/cdkpoc
Infrastructure is code with the AWS CDK - MAD312 - New York AWS SummitAmazon Web Services
The AWS Cloud Development Kit (AWS CDK) is a multi-language, open-source framework from AWS that enables developers to harness the full power of modern programming languages to define reusable cloud components and provision applications built from those components using AWS CloudFormation. In this session, we quickly cover the basic concepts of the AWS CDK. We then develop an application using the AWS CDK. We show you how to use the AWS CDK to quickly assemble your AWS infrastructure using the new Python CDK that launched earlier this year. We explore the AWS Construct Library and show you how easy it is configure your cloud resources, manage permissions, connect event sources, and even build and publish your own constructs. Join us for a fun session with a heavy emphasis on live coding.
Infrastructure Is Code with the AWS Cloud Development Kit (DEV372) - AWS re:I...Amazon Web Services
The AWS Cloud Development Kit (AWS CDK) is a new open-source framework from AWS that enables developers to harness the full power of modern programming languages to define reusable cloud components and applications and provision them through AWS CloudFormation. The AWS CDK is shipped with a rich class library that encapsulates the details-defining infrastructure on AWS and enables you to focus on your application. In this session, we discuss why we decided to build the AWS CDK; we describe some of the high-level concepts; and we write some code on stage to demonstrate why we think the AWS CDK is going to be your best friend.
This document discusses infrastructure as code using the AWS Cloud Development Kit (CDK). It begins by describing manual infrastructure creation and then imperative and declarative infrastructure as code approaches. It introduces the CDK, which allows defining infrastructure in familiar programming languages like JavaScript. With the CDK, constructs can be used to provision many underlying AWS resources with a single class, making infrastructure definition more abstract and code-like.
Boost your AWS Infrastructure with CDKphilippgarbe
Infrastructure as Code has been adopted by many teams in the last years. It makes provisioning of your infrastructure easy and helps to keep your environments consistent. But by using declarative templates we still miss many practices that we are used for ìnormalî code. Youíve probably already felt the pain that each CloudFormation template is just a copy & paste of your last projects or from StackOverflow. Can you trust these snippets? How can you align improvements or even security fixes through your codebase? How can you share best practices within your company? This talk gives an introduction to the new AWS Cloud Development Kit (CDK) which is an imperative way to write CloudFormation templates in the language of your choice (even in Java). Philipp also explains why CDK is such a game changer and how your teams can spend less time with writing CloudFormation templates while even increasing the quality.
The document discusses infrastructure as code best practices on AWS. It provides an overview of using AWS CloudFormation to define infrastructure in code. AWS CloudFormation allows infrastructure to be provisioned in an automated and repeatable way using templates that are version controlled like code. The document outlines the key components of a CloudFormation template including parameters, mappings, resources, outputs and conditionals. It also discusses using CloudFormation to bootstrap applications on EC2 instances.
This document discusses the AWS Cloud Development Kit (CDK) which allows defining AWS infrastructure as code using regular programming languages. It introduces CDK concepts like stacks, constructs, and the CDK workflow. The rest of the document demonstrates CDK through examples like creating a S3 bucket, developing custom constructs, and unit testing CDK apps. Benefits of CDK are reusable infrastructure defined as code that can be version controlled, tested, and shared as libraries.
The AWS Cloud Development Kit is a new open-source framework from AWS which allows developers to harness the full power of modern programming languages to define reusable cloud components and applications , and provision them through CloudFormation. This workshop will help you get started with the AWS CDK using TypeScript. We will build and deploy a CDK app that uses API Gateway, AWS Lambda, DynamoDB, Containers and Step Functions. We will also define reusable CDK components (called “constructs”) that can be shared with your team/company or with the whole wide world.
Discuss the basics of the AWS CDK with its pros and cons. Including how the Cloud Development Kit (CDK) helped overcome the challenges faced in their previous serverless IaC solution.
Github repo for the PoC Source Code: https://github.com/dtl-open/cdkpoc
Infrastructure is code with the AWS CDK - MAD312 - New York AWS SummitAmazon Web Services
The AWS Cloud Development Kit (AWS CDK) is a multi-language, open-source framework from AWS that enables developers to harness the full power of modern programming languages to define reusable cloud components and provision applications built from those components using AWS CloudFormation. In this session, we quickly cover the basic concepts of the AWS CDK. We then develop an application using the AWS CDK. We show you how to use the AWS CDK to quickly assemble your AWS infrastructure using the new Python CDK that launched earlier this year. We explore the AWS Construct Library and show you how easy it is configure your cloud resources, manage permissions, connect event sources, and even build and publish your own constructs. Join us for a fun session with a heavy emphasis on live coding.
Infrastructure Is Code with the AWS Cloud Development Kit (DEV372) - AWS re:I...Amazon Web Services
The AWS Cloud Development Kit (AWS CDK) is a new open-source framework from AWS that enables developers to harness the full power of modern programming languages to define reusable cloud components and applications and provision them through AWS CloudFormation. The AWS CDK is shipped with a rich class library that encapsulates the details-defining infrastructure on AWS and enables you to focus on your application. In this session, we discuss why we decided to build the AWS CDK; we describe some of the high-level concepts; and we write some code on stage to demonstrate why we think the AWS CDK is going to be your best friend.
This document discusses infrastructure as code using the AWS Cloud Development Kit (CDK). It begins by describing manual infrastructure creation and then imperative and declarative infrastructure as code approaches. It introduces the CDK, which allows defining infrastructure in familiar programming languages like JavaScript. With the CDK, constructs can be used to provision many underlying AWS resources with a single class, making infrastructure definition more abstract and code-like.
Boost your AWS Infrastructure with CDKphilippgarbe
Infrastructure as Code has been adopted by many teams in the last years. It makes provisioning of your infrastructure easy and helps to keep your environments consistent. But by using declarative templates we still miss many practices that we are used for ìnormalî code. Youíve probably already felt the pain that each CloudFormation template is just a copy & paste of your last projects or from StackOverflow. Can you trust these snippets? How can you align improvements or even security fixes through your codebase? How can you share best practices within your company? This talk gives an introduction to the new AWS Cloud Development Kit (CDK) which is an imperative way to write CloudFormation templates in the language of your choice (even in Java). Philipp also explains why CDK is such a game changer and how your teams can spend less time with writing CloudFormation templates while even increasing the quality.
The document discusses infrastructure as code best practices on AWS. It provides an overview of using AWS CloudFormation to define infrastructure in code. AWS CloudFormation allows infrastructure to be provisioned in an automated and repeatable way using templates that are version controlled like code. The document outlines the key components of a CloudFormation template including parameters, mappings, resources, outputs and conditionals. It also discusses using CloudFormation to bootstrap applications on EC2 instances.
This document discusses the AWS Cloud Development Kit (CDK) which allows defining AWS infrastructure as code using regular programming languages. It introduces CDK concepts like stacks, constructs, and the CDK workflow. The rest of the document demonstrates CDK through examples like creating a S3 bucket, developing custom constructs, and unit testing CDK apps. Benefits of CDK are reusable infrastructure defined as code that can be version controlled, tested, and shared as libraries.
The AWS Cloud Development Kit is a new open-source framework from AWS which allows developers to harness the full power of modern programming languages to define reusable cloud components and applications , and provision them through CloudFormation. This workshop will help you get started with the AWS CDK using TypeScript. We will build and deploy a CDK app that uses API Gateway, AWS Lambda, DynamoDB, Containers and Step Functions. We will also define reusable CDK components (called “constructs”) that can be shared with your team/company or with the whole wide world.
AWS CodeCommit, CodeDeploy & CodePipelineJulien SIMON
The document summarizes AWS Code services for automating the development lifecycle including CodeCommit for source control, CodePipeline for continuous delivery, and CodeDeploy for automated deployments. It describes how these services work together to enable microservices architectures and continuous delivery practices for deploying updates with no downtime. Examples are provided of how to set up a delivery pipeline using these AWS Code services to connect development tools and deploy changes from testing to production environments.
AWS KMS 에서 제공하는 봉투암호화 방식의 암호화 및 사이닝 기능에 대한 소개와 실습 - 신은수, AWS 솔루션즈 아키텍트 :: AWS...Amazon Web Services Korea
발표영상 다시보기: https://youtu.be/B7JTWT3vfis
AWS KMS 에서 제공하는 봉투암호화 방식의 암호화 기능의 장점 및 주요 특징들에 대해 소개하고 AWS 환경에서 KMS 를 이용한 데이터 암호화를 보다 효율적이고 안전하게 사용할 수 있는 방법에 대해 소개합니다.
Amazon EKS를 위한 AWS CDK와 CDK8s 활용법 - 염지원, 김광영 AWS 솔루션즈 아키텍트 :: AWS Summit Seou...Amazon Web Services Korea
Amazon Elastic Kubernetes Service (Amazon EKS)를 통하여 오픈소스 컨테이너 오케이스트레이션 도구인 Kubernetes를 신규 도입하고자 하는 고객들이 폭발적으로 늘어나고 있습니다. AWS Cloud Development Kit (AWS CDK) 그리고 CDK8s 를 활용하여 개발자에게 친숙한 프로그래밍 언어로 Amazon EKS를 정의하고 Kubernetes 어플리케이션을 정의하는 데에 활용하는 방법을 소개하여, 새롭게 Amazon EKS를 사용해보고자 하는 고객들이 도입을 가속화할 수 있는 방법을 제시합니다.
The document discusses Amazon EKS (Elastic Kubernetes Service), which allows users to run Kubernetes on AWS. It highlights that EKS manages the control plane for users and provides native integrations with other AWS services like load balancers, IAM, and container registry. The document also summarizes key capabilities like high availability of the Kubernetes masters, networking options, version upgrades, and how to provision Kubernetes nodes on EKS.
AWS AppSync is a fully managed GraphQL service that allows building and running GraphQL APIs on AWS. It supports real-time data, offline programming, and fetching only required data through connections to various data sources like DynamoDB, Lambda, Elasticsearch and HTTP endpoints. It handles authentication, data synchronization, conflict detection and resolution, and provides a clean interface between clients and servers through GraphQL queries.
The document describes Amazon EKS (Elastic Container Service for Kubernetes), including an overview of EKS, its architecture, features, and integration with other AWS services. Key points include: EKS manages Kubernetes control planes and nodes are launched in the customer's VPC, EKS supports networking via the AWS VPC CNI plugin, and EKS provides security and access management using IAM roles and policies.
CI/CD Best Practices for Your DevOps JourneyDevOps.com
The journey to realizing DevOps in any organization is fraught with a number of obstacles for developers and other stakeholders. These challenges are often caused by key CI/CD practices being misunderstood, partially implemented or even completely skipped. Now, as the industry positions itself to build on DevOps practices with a Software Delivery Management strategy, it’s more important than ever that we implement CI/CD best practices, and prepare for the future.
Join host Mitchell Ashely, and CloudBees’ Brian Dawson, DevOps evangelist, and Doug Tidwell, technical marketing director, as they explore and review the CI/CD best practices which serve as your stepping stones to DevOps and a successful Software Delivery Management strategy.
The webinar will cover CI/CD best practices including:
Containers and environment management
Continuous delivery or deployment
Movement from Dev to Ops
By the end of the webinar, you’ll understand the key steps for implementing CI/CD and powering your journey to DevOps and beyond.
AWS Fargate와 Amazon ECS를 사용한 CI/CD 베스트 프랙티스 - 유재석, AWS 솔루션즈 아키텍트 :: AWS Build...Amazon Web Services Korea
발표영상 다시보기: https://youtu.be/il8wpd7gxe8
CI/CD 기술을 통해 팀은 민첩성을 높이고 고품질 제품을 신속하게 출시 할 수 있습니다. 이 강의에서는 컨테이너화 된 응용 프로그램을 관리 할 수 있도록 CI/CD 워크 플로우 작성을위한 모범 사례를 안내합니다. AWS Cloud Development Kit를 사용하여 코드 애플리케이션 모델로 인프라를 다루고 AWS CodePipeline 및 AWS CodeBuild를 사용하여 CI/CD 릴리스 파이프 라인을 설정하는 방법을 보여줍니다. 마지막으로 AWS CodeDeploy를 사용한 안전한 배포 자동화에 대해 설명합니다.
[AWS Dev Day] 앱 현대화 | AWS Fargate를 사용한 서버리스 컨테이너 활용 하기 - 삼성전자 개발자 포털 사례 - 정영준...Amazon Web Services Korea
삼성전자 개발자 포탈은 SmartThings Cloud, Bixby 와 같은 삼성전자의 어플리케이션 에코시스템에 개발자 도구를 활용하여 어플리케이션을 개발할 수 있게 해주는 플랫폼입니다. 이 플랫폼을 컨테이너로 개발하고, 컨테이너에 패키징하는 어플리케이션 로직에만 집중 할 수 있다면 배포와 관리가 얼마나 손쉬워 질까요? 삼성전자의 실제 사례를 통하여 Fargate 를 활용한 컨테이너 환경의 장점에 대해서 알아봅니다.
** Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification **
This Edureka tutorial on "Kubernetes Architecture" will give you an introduction to popular DevOps tool - Kubernetes, and will deep dive into Kubernetes Architecture and its working. The following topics are covered in this training session:
1. What is Kubernetes
2. Features of Kubernetes
3. Kubernetes Architecture and Its Components
4. Components of Master Node and Worker Node
5. ETCD
6. Network Setup Requirements
DevOps Tutorial Blog Series: https://goo.gl/P0zAfF
Continuous Delivery with AWS Lambda - AWS April 2016 Webinar SeriesAmazon Web Services
Managing the deployment of code to multiple AWS Lambda functions and updating your API Gateway methods can be manual and time consuming.
In this webinar, we will show you how to build a deployment pipeline to AWS Lambda using AWS CodePipeline. We will discuss how to use versioning, allowing you to better manage the different variations of your Lambda function and API Gateway methods in your development workflow, such as development, staging, and production. We will walk through how to automate the entire release process of your application from development to staging and finally to production, performing automated integration tests at each stage.
Learning Objectives:
Understand the basics of AWS CodePipeline
Learn how to version AWS Lambda functions and API Gateway methods
Build a deployment pipeline to AWS Lambda
From development environments to production deployments with Docker, Compose,...Jérôme Petazzoni
In this session, we will learn how to define and run multi-container applications with Docker Compose. Then, we will show how to deploy and scale them seamlessly to a cluster with Docker Swarm; and how Amazon EC2 Container Service (ECS) eliminates the need to install,operate, and scale your own cluster management infrastructure. We will also walk through some best practice patterns used by customers for running their microservices platforms or batch jobs. Sample code and Compose templates will be provided on GitHub afterwards.
This document provides an overview of an Amazon EKS hands-on workshop. It introduces the workshop agenda which includes deploying example microservices, logging with Elasticsearch Fluentd and Kibana, monitoring with Prometheus and Grafana, and continuous integration/continuous delivery using GitOps with Weave Flux. Key concepts covered are Kubernetes pods, services, deployments, container networking with CNI plugins, observability tools, and CI/CD approaches.
[DevSecOps Live] DevSecOps: Challenges and OpportunitiesMohammed A. Imran
In this Practical DevSecOps's DevSecOps Live online meetup, you’ll learn DevSecOps Challenges and Opportunities.
Join Mohan Yelnadu, head of application security at Prudential Insurance on his DevSecOps Journey.
He will cover DevSecOps challenges he has faced and how he converted them into opportunities.
He will cover the following as part of the session.
DevSecOps Challenges.
DevSecOps Opportunities.
Converting Challenges into Opportunities.
Quick wins and lessons learned.
… and more useful takeaways!
컨테이너 및 서버리스를 위한 효율적인 CI/CD 아키텍처 구성하기 - 현창훈 데브옵스 엔지니어, Flex / 송주영 데브옵스 엔지니어, W...Amazon Web Services Korea
최근에 컨테이너 및 서버리스 환경의 지속적 통합 및 배포 (CI/CD)에 대한 관심이 늘어나고 있습니다. 본 세션에서는 Amazon EKS를 기반한 효율적인 CI/CD를 구축하기 위해, Statefulset으로 Jenkins/Argocd로 배포 시간 단축 및 기능별 브랜치로 테스트 인프라 구성사례를 소개합니다. DevOpsArt의 오픈소스 프로젝트 중 하나인 klocusts는 로드테스팅 도구인 Locust 를 쉽게 관리하기 위한 도구입니다. 이를 통해 EKS 기반 Fargate 활용사례도 같이 알아봅니다.
This document summarizes a presentation about implementing multi-tenancy on Amazon EKS (Elastic Kubernetes Service) clusters. It discusses using Kubernetes namespaces and features like network policies, resource limits, and ingress controllers to isolate applications for different clients on the same EKS cluster. Integrating with AWS services like ALB, ExternalDNS, CloudWatch, RDS and ElastiCache is also covered. The benefits of lower costs, easier management and growth potential are highlighted, along with challenges of load balancing, resource tuning and cluster sizing. While requiring a large initial investment, the approach is seen as preparing the platform for future improvements and scale.
1. The document discusses microservices architecture and how Netflix transitioned from a monolithic architecture to microservices. Key aspects discussed include breaking the monolith into many small, independent services that are loosely coupled.
2. Netflix's microservices architecture is composed of hundreds of microservices running on thousands of servers. Each service focuses on doing a small, well-defined piece of work. Services communicate through well-defined APIs and share no code or databases.
3. The document provides examples of how other companies like Samsung and Vingle have also adopted microservices architectures on AWS, breaking monolithic applications into independent, scalable services. This allows for independent deployments, rapid innovation, and improved resilience.
Today’s cutting edge companies have release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous delivery, which automates building, testing, and deploying all code changes. This type of automation will help you catch bugs sooner and accelerate developer productivity. In this session we will share our AWS engineers embed security practices in DevOps, and discuss how you can use AWS services to securely enable DevOps agility in your organization.
Software as a Service workshop / Unlocked: the Hybrid Cloud 12th May 2014Rackspace Academy
This document summarizes a workshop about SaaS tools and labs. It introduces the trainer and agenda. It then discusses a case study of IRIS Software and how they met scalability, cost and other challenges by moving to Rackspace and implementing automation, monitoring and other techniques. The document outlines labs demonstrating creating, monitoring and auto-scaling servers using APIs, CLI tools and Python code. It discusses using queues and workers to process jobs and scale infrastructure based on queue length.
Advanced technic for OS upgrading in 3 minutesHiroshi SHIBATA
This document discusses strategies for rapidly automating operating system upgrades and application deployments at scale. It proposes a two-phase image creation strategy using official OS images and Packer to build minimal and role-specific images. Automated tools like Puppet, Capistrano, Consul and Fluentd are configured to allow deployments to complete within 30 minutes through infrastructure-as-code practices. Continuous integration testing with Drone and Serverspec is used to refactor configuration files and validate server configurations.
AWS CodeCommit, CodeDeploy & CodePipelineJulien SIMON
The document summarizes AWS Code services for automating the development lifecycle including CodeCommit for source control, CodePipeline for continuous delivery, and CodeDeploy for automated deployments. It describes how these services work together to enable microservices architectures and continuous delivery practices for deploying updates with no downtime. Examples are provided of how to set up a delivery pipeline using these AWS Code services to connect development tools and deploy changes from testing to production environments.
AWS KMS 에서 제공하는 봉투암호화 방식의 암호화 및 사이닝 기능에 대한 소개와 실습 - 신은수, AWS 솔루션즈 아키텍트 :: AWS...Amazon Web Services Korea
발표영상 다시보기: https://youtu.be/B7JTWT3vfis
AWS KMS 에서 제공하는 봉투암호화 방식의 암호화 기능의 장점 및 주요 특징들에 대해 소개하고 AWS 환경에서 KMS 를 이용한 데이터 암호화를 보다 효율적이고 안전하게 사용할 수 있는 방법에 대해 소개합니다.
Amazon EKS를 위한 AWS CDK와 CDK8s 활용법 - 염지원, 김광영 AWS 솔루션즈 아키텍트 :: AWS Summit Seou...Amazon Web Services Korea
Amazon Elastic Kubernetes Service (Amazon EKS)를 통하여 오픈소스 컨테이너 오케이스트레이션 도구인 Kubernetes를 신규 도입하고자 하는 고객들이 폭발적으로 늘어나고 있습니다. AWS Cloud Development Kit (AWS CDK) 그리고 CDK8s 를 활용하여 개발자에게 친숙한 프로그래밍 언어로 Amazon EKS를 정의하고 Kubernetes 어플리케이션을 정의하는 데에 활용하는 방법을 소개하여, 새롭게 Amazon EKS를 사용해보고자 하는 고객들이 도입을 가속화할 수 있는 방법을 제시합니다.
The document discusses Amazon EKS (Elastic Kubernetes Service), which allows users to run Kubernetes on AWS. It highlights that EKS manages the control plane for users and provides native integrations with other AWS services like load balancers, IAM, and container registry. The document also summarizes key capabilities like high availability of the Kubernetes masters, networking options, version upgrades, and how to provision Kubernetes nodes on EKS.
AWS AppSync is a fully managed GraphQL service that allows building and running GraphQL APIs on AWS. It supports real-time data, offline programming, and fetching only required data through connections to various data sources like DynamoDB, Lambda, Elasticsearch and HTTP endpoints. It handles authentication, data synchronization, conflict detection and resolution, and provides a clean interface between clients and servers through GraphQL queries.
The document describes Amazon EKS (Elastic Container Service for Kubernetes), including an overview of EKS, its architecture, features, and integration with other AWS services. Key points include: EKS manages Kubernetes control planes and nodes are launched in the customer's VPC, EKS supports networking via the AWS VPC CNI plugin, and EKS provides security and access management using IAM roles and policies.
CI/CD Best Practices for Your DevOps JourneyDevOps.com
The journey to realizing DevOps in any organization is fraught with a number of obstacles for developers and other stakeholders. These challenges are often caused by key CI/CD practices being misunderstood, partially implemented or even completely skipped. Now, as the industry positions itself to build on DevOps practices with a Software Delivery Management strategy, it’s more important than ever that we implement CI/CD best practices, and prepare for the future.
Join host Mitchell Ashely, and CloudBees’ Brian Dawson, DevOps evangelist, and Doug Tidwell, technical marketing director, as they explore and review the CI/CD best practices which serve as your stepping stones to DevOps and a successful Software Delivery Management strategy.
The webinar will cover CI/CD best practices including:
Containers and environment management
Continuous delivery or deployment
Movement from Dev to Ops
By the end of the webinar, you’ll understand the key steps for implementing CI/CD and powering your journey to DevOps and beyond.
AWS Fargate와 Amazon ECS를 사용한 CI/CD 베스트 프랙티스 - 유재석, AWS 솔루션즈 아키텍트 :: AWS Build...Amazon Web Services Korea
발표영상 다시보기: https://youtu.be/il8wpd7gxe8
CI/CD 기술을 통해 팀은 민첩성을 높이고 고품질 제품을 신속하게 출시 할 수 있습니다. 이 강의에서는 컨테이너화 된 응용 프로그램을 관리 할 수 있도록 CI/CD 워크 플로우 작성을위한 모범 사례를 안내합니다. AWS Cloud Development Kit를 사용하여 코드 애플리케이션 모델로 인프라를 다루고 AWS CodePipeline 및 AWS CodeBuild를 사용하여 CI/CD 릴리스 파이프 라인을 설정하는 방법을 보여줍니다. 마지막으로 AWS CodeDeploy를 사용한 안전한 배포 자동화에 대해 설명합니다.
[AWS Dev Day] 앱 현대화 | AWS Fargate를 사용한 서버리스 컨테이너 활용 하기 - 삼성전자 개발자 포털 사례 - 정영준...Amazon Web Services Korea
삼성전자 개발자 포탈은 SmartThings Cloud, Bixby 와 같은 삼성전자의 어플리케이션 에코시스템에 개발자 도구를 활용하여 어플리케이션을 개발할 수 있게 해주는 플랫폼입니다. 이 플랫폼을 컨테이너로 개발하고, 컨테이너에 패키징하는 어플리케이션 로직에만 집중 할 수 있다면 배포와 관리가 얼마나 손쉬워 질까요? 삼성전자의 실제 사례를 통하여 Fargate 를 활용한 컨테이너 환경의 장점에 대해서 알아봅니다.
** Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification **
This Edureka tutorial on "Kubernetes Architecture" will give you an introduction to popular DevOps tool - Kubernetes, and will deep dive into Kubernetes Architecture and its working. The following topics are covered in this training session:
1. What is Kubernetes
2. Features of Kubernetes
3. Kubernetes Architecture and Its Components
4. Components of Master Node and Worker Node
5. ETCD
6. Network Setup Requirements
DevOps Tutorial Blog Series: https://goo.gl/P0zAfF
Continuous Delivery with AWS Lambda - AWS April 2016 Webinar SeriesAmazon Web Services
Managing the deployment of code to multiple AWS Lambda functions and updating your API Gateway methods can be manual and time consuming.
In this webinar, we will show you how to build a deployment pipeline to AWS Lambda using AWS CodePipeline. We will discuss how to use versioning, allowing you to better manage the different variations of your Lambda function and API Gateway methods in your development workflow, such as development, staging, and production. We will walk through how to automate the entire release process of your application from development to staging and finally to production, performing automated integration tests at each stage.
Learning Objectives:
Understand the basics of AWS CodePipeline
Learn how to version AWS Lambda functions and API Gateway methods
Build a deployment pipeline to AWS Lambda
From development environments to production deployments with Docker, Compose,...Jérôme Petazzoni
In this session, we will learn how to define and run multi-container applications with Docker Compose. Then, we will show how to deploy and scale them seamlessly to a cluster with Docker Swarm; and how Amazon EC2 Container Service (ECS) eliminates the need to install,operate, and scale your own cluster management infrastructure. We will also walk through some best practice patterns used by customers for running their microservices platforms or batch jobs. Sample code and Compose templates will be provided on GitHub afterwards.
This document provides an overview of an Amazon EKS hands-on workshop. It introduces the workshop agenda which includes deploying example microservices, logging with Elasticsearch Fluentd and Kibana, monitoring with Prometheus and Grafana, and continuous integration/continuous delivery using GitOps with Weave Flux. Key concepts covered are Kubernetes pods, services, deployments, container networking with CNI plugins, observability tools, and CI/CD approaches.
[DevSecOps Live] DevSecOps: Challenges and OpportunitiesMohammed A. Imran
In this Practical DevSecOps's DevSecOps Live online meetup, you’ll learn DevSecOps Challenges and Opportunities.
Join Mohan Yelnadu, head of application security at Prudential Insurance on his DevSecOps Journey.
He will cover DevSecOps challenges he has faced and how he converted them into opportunities.
He will cover the following as part of the session.
DevSecOps Challenges.
DevSecOps Opportunities.
Converting Challenges into Opportunities.
Quick wins and lessons learned.
… and more useful takeaways!
컨테이너 및 서버리스를 위한 효율적인 CI/CD 아키텍처 구성하기 - 현창훈 데브옵스 엔지니어, Flex / 송주영 데브옵스 엔지니어, W...Amazon Web Services Korea
최근에 컨테이너 및 서버리스 환경의 지속적 통합 및 배포 (CI/CD)에 대한 관심이 늘어나고 있습니다. 본 세션에서는 Amazon EKS를 기반한 효율적인 CI/CD를 구축하기 위해, Statefulset으로 Jenkins/Argocd로 배포 시간 단축 및 기능별 브랜치로 테스트 인프라 구성사례를 소개합니다. DevOpsArt의 오픈소스 프로젝트 중 하나인 klocusts는 로드테스팅 도구인 Locust 를 쉽게 관리하기 위한 도구입니다. 이를 통해 EKS 기반 Fargate 활용사례도 같이 알아봅니다.
This document summarizes a presentation about implementing multi-tenancy on Amazon EKS (Elastic Kubernetes Service) clusters. It discusses using Kubernetes namespaces and features like network policies, resource limits, and ingress controllers to isolate applications for different clients on the same EKS cluster. Integrating with AWS services like ALB, ExternalDNS, CloudWatch, RDS and ElastiCache is also covered. The benefits of lower costs, easier management and growth potential are highlighted, along with challenges of load balancing, resource tuning and cluster sizing. While requiring a large initial investment, the approach is seen as preparing the platform for future improvements and scale.
1. The document discusses microservices architecture and how Netflix transitioned from a monolithic architecture to microservices. Key aspects discussed include breaking the monolith into many small, independent services that are loosely coupled.
2. Netflix's microservices architecture is composed of hundreds of microservices running on thousands of servers. Each service focuses on doing a small, well-defined piece of work. Services communicate through well-defined APIs and share no code or databases.
3. The document provides examples of how other companies like Samsung and Vingle have also adopted microservices architectures on AWS, breaking monolithic applications into independent, scalable services. This allows for independent deployments, rapid innovation, and improved resilience.
Today’s cutting edge companies have release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous delivery, which automates building, testing, and deploying all code changes. This type of automation will help you catch bugs sooner and accelerate developer productivity. In this session we will share our AWS engineers embed security practices in DevOps, and discuss how you can use AWS services to securely enable DevOps agility in your organization.
Software as a Service workshop / Unlocked: the Hybrid Cloud 12th May 2014Rackspace Academy
This document summarizes a workshop about SaaS tools and labs. It introduces the trainer and agenda. It then discusses a case study of IRIS Software and how they met scalability, cost and other challenges by moving to Rackspace and implementing automation, monitoring and other techniques. The document outlines labs demonstrating creating, monitoring and auto-scaling servers using APIs, CLI tools and Python code. It discusses using queues and workers to process jobs and scale infrastructure based on queue length.
Advanced technic for OS upgrading in 3 minutesHiroshi SHIBATA
This document discusses strategies for rapidly automating operating system upgrades and application deployments at scale. It proposes a two-phase image creation strategy using official OS images and Packer to build minimal and role-specific images. Automated tools like Puppet, Capistrano, Consul and Fluentd are configured to allow deployments to complete within 30 minutes through infrastructure-as-code practices. Continuous integration testing with Drone and Serverspec is used to refactor configuration files and validate server configurations.
Introduction to Infrastructure as Code & Automation / Introduction to ChefNathen Harvey
The document provides an introduction to infrastructure as code using Chef. It begins with an introduction by Nathen Harvey and outlines the sys admin journey from manually managing servers to using automation and policy-driven configuration management. It then discusses how infrastructure as code with Chef allows treating infrastructure like code by programmatically provisioning and configuring components. The document demonstrates configuring resources like packages, services, files and more using Chef.
The Future is Now: Leveraging the Cloud with RubyRobert Dempsey
My presentation from the Ruby Hoedown on cloud computing and how Ruby developers can take advantage of cloud services to build scalable web applications.
This document introduces infrastructure as code and automation using Chef. It discusses how Chef can be used to manage infrastructure complexity through policy-driven configuration management. Chef defines the desired state of systems using recipes, cookbooks and roles. Nodes running the Chef client converge themselves to the desired state defined in policies. Search is used to query nodes and topology data, which can then be passed to templates to dynamically generate configurations. This allows infrastructure to be automated, standardized and maintained as code.
DevOps, Continuous Integration & Deployment on AWS discusses practices for software development on AWS including DevOps, continuous integration, continuous delivery, and continuous deployment. It provides an overview of AWS services that can be used at different stages of the software development lifecycle such as CodeCommit for source control, CodePipeline for release automation, and CodeDeploy for deployment. National Novel Writing Month (NaNoWriMo) maintains its websites and services on AWS to support its annual writing challenge. It migrated to AWS to improve uptime and scalability. Its future goals include porting older sites to Rails, using Amazon SES for email, load balancing with ELB, implementing auto scaling, and using services like CodeDeploy, SNS
DevOps, Continuous Integration and Deployment on AWS: Putting Money Back into...Amazon Web Services
Organizations around the globe are leveraging the cloud to accomplish world-changing missions. This session will address how AWS can help organizations put more money toward their mission and scale outreach and operations to achieve more with less. Hear some of AWS’s most advanced customers on how their organizations handle DevOps, continuous integration and deployment. Learn how these practices allow them to rapidly develop, iterate, test and deploy highly-scalable web applications and core operational systems on AWS. The discussion will focus on best practices, lessons learned, and the specific technologies and services they use.
How I Learned to Stop Worrying and Love the Cloud - Wesley Beary, Engine YardSV Ruby on Rails Meetup
Wesley Beary: Cloud computing scared the crap out of me - the quirks and nightmares
of provisioning computing and storage on AWS, Terremark, Rackspace,
etc - until I took the bull by the horns. Let me now show you how I
tamed that bull.
Learn how to easily get started cloud computing with fog. It gives you
the reins within any Ruby application or script. If you can control
your infrastructure choices, you can make better choices in
development and get what you need in production.
You'll get an overview of fog and concrete examples to give you a head
start on your own provisioning workflow.
Integrating Infrastructure as Code into a Continuous Delivery Pipeline | AWS ...Amazon Web Services
This document discusses integrating infrastructure as code into a continuous delivery pipeline. It covers DevOps principles like collaboration, automation, and monitoring everything. It discusses benefits like increased velocity and reduced risk. Infrastructure as code is realized using tools like Ansible, Chef, and Terraform to define infrastructure in code. This allows infrastructure to be treated like code and integrated into software development pipelines for continuous integration and delivery of both application and infrastructure changes.
Introduction to Infrastructure as Code & Automation / Introduction to ChefAll Things Open
The document discusses infrastructure as code and Chef. It introduces Chef as an open source automation framework that allows system administrators to define infrastructure in code. It describes how Chef uses a policy-based approach to ensure nodes comply with defined policies and discusses how this allows for scalable, automated management of infrastructure.
The document discusses serverless computing and introduces Microsoft Azure Functions as a serverless platform, highlighting how Functions allows developers to write code that runs in response to events using triggers and bindings to integrate with other Azure services, and provides examples of common serverless patterns that can be implemented using Functions.
This document discusses ways to create lightweight Ruby solutions by simplifying frameworks and components. It suggests replacing ActiveRecord with the simpler and faster Sequel ORM. It also recommends using Zepto.js instead of jQuery for mobile apps, and Rack and Sinatra to build lightweight web apps instead of full Rails applications. Benchmarks show these lightweight approaches can significantly improve performance compared to default Rails. Tools mentioned that aid lightweight development include Pow for local web serving and rbenv for Ruby version management. The document concludes by reminding developers not to see Ruby as the only solution and to consider other languages like Erlang, Scala and C++ for certain problems.
Serverless with Spring Cloud Function, Knative and riff #SpringOneTour #s1tToshiaki Maki
This document summarizes a presentation about serverless computing using Spring Cloud Function, Knative, and riff. It discusses what serverless computing is, an overview of Spring Cloud Function for developing serverless applications, and how Knative and riff can be used as platforms to deploy serverless workloads on Kubernetes. Code examples are provided to demonstrate invoking functions via HTTP and messaging with Spring Cloud Function and deploying functions to Knative and riff.
This is a presentation for International Lisp Conference 2012 which was held in Kyoto, Japan.
Clack is a web application environment for Common Lisp to make your web applications be portable and reusable by abstracting HTTP into a simple API.
In this paper, I describe what are problems in web development and how Clack solves them.
Configuration Management in the Cloud - Cloud Phoenix Meetup Feb 2014Miguel Zuniga
This document discusses configuration management tools Puppet and Chef in the cloud. It provides an overview of what configuration management is and why it is more painful in cloud environments where resources are dynamic. It then covers using infrastructure as code and discusses Puppet and Chef architectures, code examples, and how to use them in a masterless configuration in the cloud. Key aspects covered include using repositories to manage code, rebuilding on failure, and dynamically updating config files using knife to search inventory in Chef.
In this session we'll discuss and demonstrate key concepts and design patterns for continuous deployment and integration using technologies like AWS OpsWorks and Chef to enable better control of applications and infrastructures.
Implementing SharePoint on Azure, Lessons Learnt from a Real World ProjectK.Mohamed Faizal
This document discusses lessons learned from implementing SharePoint on Azure. It covers Azure architecture concepts like virtual networks, cloud services, availability sets, and load balancing. It provides an example reference architecture for a hybrid on-premises and Azure environment. It also discusses topics like database planning, disk performance, server topology with multiple tiers, and reserving IP addresses. The presentation aims to share best practices for deploying SharePoint on Azure based on a real-world project.
Overview of Chef - Fundamentals Webinar Series Part 1Chef
This is an Overview of Chef. After viewing this webinar you will be able to:
- Describe how Chef thinks about Infrastructure Automation
- Define the following terms:
- Resource
- Recipe
- Node
- Run List
- Search
- Login to Hosted Chef
- Run `knife` commands from your workstation
Video of this webinar can be found at the following URL
https://www.youtube.com/watch?v=S5lHUpzoCYo&list=PL11cZfNdwNyPnZA9D1MbVqldGuOWqbumZ
Applying DevOps to Databricks can be a daunting task. In this talk this will be broken down into bite size chunks. Common DevOps subject areas will be covered, including CI/CD (Continuous Integration/Continuous Deployment), IAC (Infrastructure as Code) and Build Agents.
We will explore how to apply DevOps to Databricks (in Azure), primarily using Azure DevOps tooling. As a lot of Spark/Databricks users are Python users, will will focus on the Databricks Rest API (using Python) to perform our tasks.
Plack basics for Perl websites - YAPC::EU 2011leo lapworth
Run a website with Perl? - you should learn how to use Plack. Most Perl web frameworks support it and it makes your life a lot easier and a lot more fun
Gitalist is a web-based Git viewer that provides an alternative to Gitweb and GitHub. It offers features like project listings, tree views, history views, commit comparisons, syntax highlighting, and color-coded blame. The developers aim to make the UI customizable and support multiple repositories and branches. Future plans include a plugin architecture and more options for rendering blobs.
If your not using an ORM (object relational mapper) and are still writing SQL by hand, here's what you need to know.
An introduction into DBIx::Class and some of the concepts and goodies you should be aware off.
This document provides an introduction and overview of DBIx::Class, an ORM (object relational mapper) for Perl. It discusses setting up tables for an authors and books example database, and performing CRUD (create, read, update, delete) operations both manually using SQL and using DBIx::Class. It also covers creating models with Schema::Loader, debugging, overloading result and result set classes, and inflating/deflating columns.
Looking at historic, current and evolving approaches, I will take you through from how we used to 'live' edit on one server with HTML in the code; to implementing Template Toolkit and 'front end / back end' servers; to the addition of version control; all the way through to distributed caching, file systems and processing (aka Six Apart worship) with 15+ servers.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
29. Provisioning
> Client “Hello”
> Hosting “Hello, how can we help?”
> Client “Can I have a new server please?”
> Hosting “Sure.. what are the specs and
which Christmas do you need it by?”
104. Why DemoStack3?
BucketName: dem_for_scl_2019
Failed to create/update the stack. Run the following command
to fetch the list of events leading up to the failure
aws cloudformation describe-stack-events --stack-name DemoStack3
105. Why DemoStack3?
BucketName: dem_for_scl_2019
Failed to create/update the stack. Run the following command
to fetch the list of events leading up to the failure
aws cloudformation describe-stack-events --stack-name DemoStack3
{
"StackEvents": [
{
"StackId": "arn:aws:cloudformation:eu-west-1:374733882471:stack/DemoStack2/0363ce60-d8ba-11e9-b8ea-069f6d7e1780",
"EventId": "1959c120-d8ba-11e9-bb16-0abc432e4032",
"StackName": "DemoStack2",
"LogicalResourceId": "DemoStack2",
"PhysicalResourceId": "arn:aws:cloudformation:eu-west-1:374733882471:stack/DemoStack2/0363ce60-d8ba-11e9-b8ea-069f6d7e1780",
"ResourceType": "AWS::CloudFormation::Stack",
"Timestamp": "2019-09-16T19:42:21.223Z",
"ResourceStatus": "ROLLBACK_COMPLETE"
},
{
"StackId": "arn:aws:cloudformation:eu-west-1:374733882471:stack/DemoStack2/0363ce60-d8ba-11e9-b8ea-069f6d7e1780",
"EventId": "MyFirstBucket-DELETE_COMPLETE-2019-09-16T19:42:20.814Z",
"StackName": "DemoStack2",
"LogicalResourceId": "MyFirstBucket",
"PhysicalResourceId": "",
"ResourceType": "AWS::S3::Bucket",
"Timestamp": "2019-09-16T19:42:20.814Z",
"ResourceStatus": "DELETE_COMPLETE",
115. CDK synth
> cdk synth
@aws-cdk/aws-s3/lib/bucket.js:539
throw new Error(`Invalid S3 bucket name (value: ${bucketName})${os_1.EOL}$
{errors.join(os_1.EOL)}`);
Error: Invalid S3 bucket name (value: demo_for_scl_2019)
Bucket name must only contain lowercase characters and the symbols, period (.) and
dash (-) (offset: 3)
at ….
116. CDK synth
> cdk synth
@aws-cdk/aws-s3/lib/bucket.js:539
throw new Error(`Invalid S3 bucket name (value: ${bucketName})${os_1.EOL}$
{errors.join(os_1.EOL)}`);
Error: Invalid S3 bucket name (value: demo_for_scl_2019)
Bucket name must only contain lowercase characters and the symbols, period (.) and
dash (-) (offset: 3)
at ….
117. CDK synth
> cdk synth
@aws-cdk/aws-s3/lib/bucket.js:539
throw new Error(`Invalid S3 bucket name (value: ${bucketName})${os_1.EOL}$
{errors.join(os_1.EOL)}`);
Error: Invalid S3 bucket name (value: demo_for_scl_2019)
Bucket name must only contain lowercase characters and the symbols, period (.) and
dash (-) (offset: 3)
at ….
288. YAML Is Better than Your Favorite
Language: Fightin' words about
Infrastructure as code | Ben Kehoe
https://acloud.guru/series/
serverlessconf-nyc-2019/view/
yaml-better
292. Review
• IaC: repeatable, versionable, speed of deploy
• CloudFormation: Infrastructure Graph Engine
- learn to read it
293. Review
• IaC: repeatable, versionable, speed of deploy
• CloudFormation: Infrastructure Graph Engine
- learn to read it
• CDK: apps, stacks, constructs
294. Review
• IaC: repeatable, versionable, speed of deploy
• CloudFormation: Infrastructure Graph Engine
- learn to read it
• CDK: apps, stacks, constructs
• Local dev and Lambda Layers
295. Review
• IaC: repeatable, versionable, speed of deploy
• CloudFormation: Infrastructure Graph Engine
- learn to read it
• CDK: apps, stacks, constructs
• Local dev and Lambda Layers
• A bunch of other bits that I hope are useful
296. The end
• Slides online later
• Contact / follow: @leolapworth
• Thank you
297. Here to answer questions
Richard Boyd - AWS Developer Advocate
for developer tools