(BAC404) Deploying High Availability and Disaster Recovery Architectures with AWS | AWS re:Invent 2014

This document discusses managing digital assets in a serverless architecture and provides examples of using Amazon Web Services for digital asset management. It begins by outlining challenges around reconciling legacy and cloud-based systems and managing large volumes of content. It then presents the Vidispine platform for cloud-native content management and examples of customers using Vidispine and AWS services for digital asset management, including a global content delivery company, an AI assistant developer, and a large media company.

In this session, we walk through the fundamentals of Amazon VPC. First, we cover build-out and design fundamentals for VPCs, including picking your IP space, subnetting, routing, security, NAT, and much more. We then transition to different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision makers interested in understanding the building blocks that AWS makes available with Amazon VPC. Learn how you can connect VPCs with your offices and current data center footprint.

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.

The document discusses AWS serverless concepts and solutions. It covers serverless computing advantages like dynamic resource allocation and scaling with usage. It then discusses serverless architectures using AWS services like Lambda, S3, SNS, SQS, and Kinesis. It also covers AWS Lambda configuration and deployment using the Serverless Application Model and CloudFormation. Finally, it discusses CI/CD pipelines and infrastructure as code for serverless applications.

In this session, we cover all options for running containers on AWS. This includes an introduction of container concepts and an overview of the different services: Amazon Elastic Container Service, AWS Fargate, and Amazon Elastic Container Service for Kubernetes. We also cover best practices for how to choose the right orchestration platform for your workload, the different tools for making this process easier, and ways to find more information and support as you work.

AWS Summit Seoul 2015에서 GS네오텍 박정수 팀장님의 CloudFront와 Route53 기반 콘텐츠 배포 전략 발표 자료입니다. --- 웹 서비스를 이용하는 사용자들이 늘어나고 트래픽이 증가하면 이에 대응하기 위해 보다 유연한 서비스 환경을 구축할 필요가 있습니다. 특히 서비스 내 미디어 등 콘텐츠를 빠르게 배포하는 것은 서비스 경험을 높이는 데 매우 중요한 요소입니다. 이 강연에서는 AWS 클라우드의 콘텐츠 배포 서비스(CDN)인 Amazon CloudFront와 도메인 관리 서비스인 Amazon Route53를 활용하고 있는 국내 고객의 사례를 소개하고, 국내는 물론 국외에 소재한 고객들에게도 훌륭한 서비스 경험을 제공하기 위해 한국을 비롯해 전 세계 53개소에 자리잡은 CloudFront 엣지 로케이션을 활용하는 방법의 다양한 기술적/비용적 이점에 대해 설명하겠습니다.

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.

This document outlines an agenda for a presentation by MEGAZONE CSO and Founder. The agenda includes: 1) Introduction of MEGAZONE 2) Customer case studies 3) Introduction of MEGAZONE's Hyper-Series solutions 4) Third party solutions. It then provides details on MEGAZONE's history and achievements as the first AWS Cloud Partner in Korea since 2012, and first Advanced Consulting Partner in 2014.

This document discusses serverless computing and AWS Lambda. It provides an overview of virtual machines, containers, and serverless/functions as a service. It describes how AWS Lambda works, including how to author functions using various programming languages. It also discusses how to integrate Lambda with other AWS services like API Gateway, Step Functions, S3, DynamoDB and more. It introduces the AWS Serverless Application Repository and AWS SAM for defining serverless applications.

As your teams and infrastructure grow, it becomes more difficult to track IT resource changes as well as identify who made changes and when. It also becomes harder to enforce standards for your infrastructure resources, resulting in configuration drift and potential security issues. On AWS, you can easily standardize infrastructure configurations for commonly used IT services while also enabling self-service provisioning for your company. Once these resources are provisioned, you can then track how these resources are connected and monitor configuration changes and drift. In this session, we will discuss how you can achieve a sophisticated level of standardization, configuration compliance, and monitoring using a combination of AWS Service Catalog, AWS Config, and AWS CloudTrail. Learning Objectives: Understand how to use AWS services to enable governance while providing self-service Learn to codify your business policies to promote compliance How to improve security without sacrificing developer productivity

In this session, we will look at how Terraform simplifies the infrastructure creation and configuration over aws. Tags: Terraform, Devops tools, IAAC

This is the deck that was presented at the Bay Area AWS Meetup in October 2019. http://www.meetup.com/awsgurus/

This document provides an overview of Amazon Virtual Private Clouds (VPC) and networking fundamentals on AWS. It discusses key VPC concepts like IP addressing, subnets, routing, security groups, network access control lists and internet connectivity. It also covers options for connecting VPCs like VPC peering and the AWS Transit Gateway which allows connections between multiple VPCs and on-premises networks.

How can you accelerate the delivery of new, high-quality services? How can you be able to experiment and get feedback quickly from your customers? To get the most out of the agility afforded by serverless and containers, it is essential to build CI/CD pipelines that help teams iterate on code and quickly release features. In this talk, we demonstrate how developers can build effective CI/CD release workflows to manage their serverless or containerized deployments on AWS. We cover infrastructure-as-code (IaC) application models, such as AWS Serverless Application Model (AWS SAM) and new imperative IaC tools. We also demonstrate how to set up CI/CD release pipelines with AWS CodePipeline and AWS CodeBuild, and we show you how to automate safer deployments with AWS CodeDeploy.

Learning Objectives: - Learn how the AWS Storage Gateway works with your on-premises applications and infrastructure - Understand which of your workloads the AWS Storage Gateway could support - Learn how you can automate file-based workflows between your sites or teams and AWS resources

The document discusses serverless architectures using AWS Lambda and Amazon API Gateway. It provides background on moving from monolithic to microservices architectures. It then covers AWS Lambda functions, event sources, and networking environments. Amazon API Gateway is presented as a way to build multi-tier serverless applications. Common serverless architecture patterns and best practices for AWS Lambda, API Gateway, and general serverless development are outlined. The document concludes with a demonstration of a simple CRUD backend using Lambda and DynamoDB with API Gateway.

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

Disaster Recovery Site on AWS: Minimal Cost Maximum Efficiency discusses setting up disaster recovery sites on AWS for minimal cost and maximum efficiency. Common disaster recovery architectures on AWS include pilot light, where a scaled-down copy of production resources is kept running, and backup and restore, where backups are taken and restored in an outage. Customer case studies demonstrate cost savings of up to 70% for disaster recovery sites on AWS compared to on-premises solutions.

The document discusses Amazon Web Services (AWS) and provides information about AWS regions and availability zones, Elastic Compute Cloud (EC2) instances, Elastic Block Storage (EBS), security groups, Elastic Load Balancing (ELB), and using CloudFormation to define AWS resources like EC2 instances, security groups, and ELBs. It includes pricing information for different types of EC2 instances and reserved capacity options.

게임을 위한 Cloud Native on AWS IT 기술이 변화하며 클라우드를 보다 적극적으로 사용하는 게임사가 늘어나는 추세입니다. 게임 고객분들이 다양한 시각에서 AWS Cloud Service를 보다 효과적으로 잘 사용할 수 있는 방법을 소개합니다. 또한, 고객분들께서 개발에 집중하고 효율적으로 운영할 수 있도록 AWS가 어떠한 도움을 드리는지에 대해 말씀드리고자 합니다.

As your use of the AWS platform matures and evolves you need to be continuously looking at ways to improve your security posture and take advantage of new security services and features. In this advanced technical session we will share architecture patterns for different workloads, IAM policy tips & tricks, how to implement security automation and for forensics. Be prepared for a technically deep session on AWS security. Speaker: Ben Potter, AWS Cloud Security Consultant, Amazon Web Services

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%.

This document provides an overview of strategies for building scalable applications on AWS. It recommends starting simply with EC2, RDS, and Route 53, then adding services like S3, DynamoDB, ElastiCache, and CloudFront to optimize performance. Auto Scaling is introduced to automatically scale resources based on demand. The document discusses best practices like separating databases by function, implementing sharding, and leveraging serverless options. The goal is to demonstrate how these techniques can help applications scale to millions of users on AWS.

This document discusses how IT architectures are evolving to optimize for edge computing needs like latency, bandwidth, and connectivity. It introduces Amazon Web Services edge services like AWS Lambda, AWS Greengrass, AWS IoT, and Amazon CloudFront that allow distributing compute and custom logic closer to end users and devices. These services enable developing and running applications offline on IoT gateways and responding to local events in real-time while also connecting devices securely to the cloud.

AWS Lambda enables you to run code without provisioning or managing servers in an AWS Region. Lambda@Edge provides the same benefits, but runs closer to your end users, enabling you to assemble and deliver content, on-demand, to create low-latency web experiences. Come and join us for examples of how customers can move significant workloads they previously managed with server fleets to truly serverless website backends. Sentient Technologies, an artificial intelligence technology company, will share how they use Lambda@Edge for solving various use cases such as leveraging AI to improve customer engagement and uplift website conversions, and many more.

AWS is architected to be one of the most flexible and secure cloud computing environments available today. It provides an extremely scalable, highly reliable platform that enables customers to deploy applications and data quickly and securely. When using AWS, not only are infrastructure headaches removed, but so are many of the security issues that come with them.

The document provides an overview of an AWS 101 presentation. It includes an agenda for the presentation covering AWS concepts and live demonstrations of keypairs, security groups, EC2 instances, autoscaling, Amazon Machine Images, S3, CloudFront, Elastic Load Balancer, and RDS. It also provides background information on Amazon Web Services and an overview of the various AWS services covered in the toolbox section.

A real use case of in-house 2 PB Hadoop Cluster Migration to AWS within few months. AWS is easy-to-use, cost-effective, flexible, scalable and very reliable.Technologies involved are Hive, Presto, Python, Autosys using AWS EMR, AWS Lambda, AWS S3, AWS DynamoDB and AWS SNS.

You’re interested in the cloud, and you want to start learning more. In this webcast we will answer the following questions: • What is Cloud Computing? • What are the benefits of Cloud Computing? • What are AWS’s products and what workloads can I run with them? • Who is using the cloud and what are they using it for?

This document provides an overview of Amazon Web Services (AWS) and its cloud computing infrastructure and services. It describes AWS's global footprint including regions and availability zones. It then discusses various AWS computing, storage, database, deployment/administration and application services like EC2, S3, RDS, IAM, Elastic Beanstalk and more. The document concludes with a proposed example application architecture using several AWS services.

This document discusses Dapr, an open source runtime that makes it easy to build distributed applications on Kubernetes. It provides concise summaries of Dapr components like state management, publish/subscribe, secrets management, and more. Code samples show how to use Dapr building blocks like state stores and service invocation from Python, Node.js, and .NET applications on Kubernetes and standalone.

Dr. Werner Vogels discusses the power of infrastructure as a service provided by Amazon Web Services (AWS). AWS provides on-demand access to computing resources, databases, storage, and other services on a pay-as-you-go basis. This allows customers to avoid upfront costs and scale resources up or down as needed. AWS sees billions of requests per day to services like Amazon S3 storage and continues innovating with new services and lower prices to benefit customers. When choosing a cloud provider, customers should consider requirements around security, performance, cost, flexibility, speed of innovation, and the partner's ability to deliver a reliable cloud platform.

For more training on AWS, visit: https://www.qa.com/amazon AWS Loft | London - Deep Dive: Amazon RDS by Toby Knight, Manager Solutions Architecture, 18 April 2016

Join this workshop to understand the core concepts of “Cloud Computing” and how businesses around the world are running the infrastructure that supports their websites to lower costs, improve time-to-market, and enable rapid scalability matching resource to demands of users. Whether you are an enterprise looking for IT innovation, agility and resiliency or small and medium business who wants to accelerate growth without a big upfront investment in cash or time for technology, the AWS Cloud provides a complete set of services at zero upfront costs which are available with a few clicks and within minutes.

Ever wondered how you would get visibility into your application when you go serverless? In this session, we will dive deep into various visibility aspects of your serverless applications on AWS Fargate. We will cover best practices around logging, alerting, metric collection and monitoring health of your containers. We will also learn several ways to troubleshoot container start up issues or application errors. Catalytic will then show how they’re using Fargate to perform parallelized bioinformatics workflows and how they gain better visibility into their applications running on Fargate.

Enterprises trying to deploy infrastructure to the cloud and independent software companies trying to deliver a service have similar problems to solve. They need to know how to create an environment in AWS that enforces least-privilege access between components while also allowing administration and change management. Amazon Elastic Cloud Compute (EC2) and Identity and Access Management (IAM), coupled with services like AWS Security Token Service (STS), offer the necessary building blocks. In this session, we walk through some of the mechanisms available to control access in an Amazon Virtual Private Cloud (VPC). Next, we focus on using IAM and STS to create a least-privilege access model. Finally, we discuss auditing strategies to catch common mistakes and discuss techniques to audit and maintain your infrastructure.