(DVO315) Log, Monitor and Analyze your IT with Amazon CloudWatchAmazon Web Services
You may already know that you can use Amazon CloudWatch to view graphs of your AWS resources like Amazon Elastic Compute Cloud instances or Amazon Simple Storage Service. But, did you know that you can monitor your on-premises servers with Amazon CloudWatch Logs? Or, that you can integrate CloudWatch Logs with Elasticsearch for powerful visualization and analysis? This session will offer a tour of the latest monitoring and automation capabilities that we’ve added, how you can get even more done with Amazon CloudWatch.
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
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.
AWS January 2016 Webinar Series - Introduction to Docker on AWSAmazon Web Services
Using Docker on your local development machine is simple, but running Docker applications at scale in production can be difficult.
In this webinar, we will discuss the difficulties of running Docker in production and how Amazon EC2 Container Service (ECS) can be used to reduce the operational burdens, and we will give an overview of the architecture powering Amazon ECS. We will also demo how to define multi-container applications with Docker Compose and deploy and scale them seamlessly to a cluster with Amazon ECS.
Learning Objectives:
Understand the benefits and architecture of Amazon ECS
Learn how to deploy and scale Docker containers on Amazon ECS
Who Should Attend:
Developers
Amazon SageMaker 모델 빌딩 파이프라인 소개::이유동, AI/ML 스페셜리스트 솔루션즈 아키텍트, AWS::AWS AIML 스...Amazon Web Services Korea
Amazon SageMaker 에서 제공하는 기계 학습을 위한 CI/CD 서비스, Aamzon SageMaker Pipelines 를 사용하기 위해 기계 학습의 라이프 사이클과 MLOps 의 개념과 AWS 에서의 MLOps 에 대한 오버뷰를 소개합니다. 또한, Amazon SageMaker Pipelines 의 세부적인 사용법을 스크린샷과 함께 소개합니다.
다시보기 영상 링크: https://youtu.be/QGgQOcA3W6w
클라우드로의 마이그레이션이 증가하면서, 퍼블릭 클라우드를 목표로 한 공격도 폭증하고 있습니다. 특히, 클라우드 관리자의 자격증명을 탈취하려는 시도나 탈취된 자격증명을 이용하여 중요정보를 유출하고 대규모로 비트코인 채굴을 시도하는 행위들이 늘어가고 있습니다. AWS로의 이관을 고려하고 있거나 사용중인 고객들이라면, 이와 같이 클라우드의 특성을 활용하여 발생하고 있는 정교한 보안 위협들에 대응하기 위한 방법을 고민하셔야 합니다. 본 세션에서는 이러한 클라우드 네이티브 위협들에 효과적으로 대응하는 기능을 제공하는 GuardDuty, Inspector, Config, SecurityHub와 같은 AWS 보안 서비스들에 대한 설명을 진행합니다.
진정한 하이브리드 환경을 위한 올바른 선택, AWS Outposts! - 강동환 AWS 솔루션즈 아키텍트 :: AWS Summit Seou...Amazon Web Services Korea
AWS 클라우드를 통해 수많은 고객들이 비즈니스를 혁신하고 경쟁력있는 서비스를 통해 시장을 주도하고 있습니다. 운영하는 어플리케이션의 다양한 요구조건 중 낮은 레이턴시 요구사항과 엄격한 데이터 상주규정으로 인해 AWS 클라우드의 이점을 온전히 누리지 못하는 고객들은 하이브리드 환경을 고려하고 있습니다. 온프레미스나 IDC에 AWS의 리전과 동일한 인프라를 구축하여 낮은 지연과 엄격한 데이터 상주규정을 충족하고, AWS 리전과 동일한 관리 및 운영체계로 여러분의 비즈니스를 모든 영역에 결쳐 혁신할 수 있습니다. AWS Outposts를 통해 어떻게 진정한 하이브리드 환경을 구현할 수 있는지와 그 깊이 있는 기술에 대해 알아보세요.
(DVO315) Log, Monitor and Analyze your IT with Amazon CloudWatchAmazon Web Services
You may already know that you can use Amazon CloudWatch to view graphs of your AWS resources like Amazon Elastic Compute Cloud instances or Amazon Simple Storage Service. But, did you know that you can monitor your on-premises servers with Amazon CloudWatch Logs? Or, that you can integrate CloudWatch Logs with Elasticsearch for powerful visualization and analysis? This session will offer a tour of the latest monitoring and automation capabilities that we’ve added, how you can get even more done with Amazon CloudWatch.
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
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.
AWS January 2016 Webinar Series - Introduction to Docker on AWSAmazon Web Services
Using Docker on your local development machine is simple, but running Docker applications at scale in production can be difficult.
In this webinar, we will discuss the difficulties of running Docker in production and how Amazon EC2 Container Service (ECS) can be used to reduce the operational burdens, and we will give an overview of the architecture powering Amazon ECS. We will also demo how to define multi-container applications with Docker Compose and deploy and scale them seamlessly to a cluster with Amazon ECS.
Learning Objectives:
Understand the benefits and architecture of Amazon ECS
Learn how to deploy and scale Docker containers on Amazon ECS
Who Should Attend:
Developers
Amazon SageMaker 모델 빌딩 파이프라인 소개::이유동, AI/ML 스페셜리스트 솔루션즈 아키텍트, AWS::AWS AIML 스...Amazon Web Services Korea
Amazon SageMaker 에서 제공하는 기계 학습을 위한 CI/CD 서비스, Aamzon SageMaker Pipelines 를 사용하기 위해 기계 학습의 라이프 사이클과 MLOps 의 개념과 AWS 에서의 MLOps 에 대한 오버뷰를 소개합니다. 또한, Amazon SageMaker Pipelines 의 세부적인 사용법을 스크린샷과 함께 소개합니다.
다시보기 영상 링크: https://youtu.be/QGgQOcA3W6w
클라우드로의 마이그레이션이 증가하면서, 퍼블릭 클라우드를 목표로 한 공격도 폭증하고 있습니다. 특히, 클라우드 관리자의 자격증명을 탈취하려는 시도나 탈취된 자격증명을 이용하여 중요정보를 유출하고 대규모로 비트코인 채굴을 시도하는 행위들이 늘어가고 있습니다. AWS로의 이관을 고려하고 있거나 사용중인 고객들이라면, 이와 같이 클라우드의 특성을 활용하여 발생하고 있는 정교한 보안 위협들에 대응하기 위한 방법을 고민하셔야 합니다. 본 세션에서는 이러한 클라우드 네이티브 위협들에 효과적으로 대응하는 기능을 제공하는 GuardDuty, Inspector, Config, SecurityHub와 같은 AWS 보안 서비스들에 대한 설명을 진행합니다.
진정한 하이브리드 환경을 위한 올바른 선택, AWS Outposts! - 강동환 AWS 솔루션즈 아키텍트 :: AWS Summit Seou...Amazon Web Services Korea
AWS 클라우드를 통해 수많은 고객들이 비즈니스를 혁신하고 경쟁력있는 서비스를 통해 시장을 주도하고 있습니다. 운영하는 어플리케이션의 다양한 요구조건 중 낮은 레이턴시 요구사항과 엄격한 데이터 상주규정으로 인해 AWS 클라우드의 이점을 온전히 누리지 못하는 고객들은 하이브리드 환경을 고려하고 있습니다. 온프레미스나 IDC에 AWS의 리전과 동일한 인프라를 구축하여 낮은 지연과 엄격한 데이터 상주규정을 충족하고, AWS 리전과 동일한 관리 및 운영체계로 여러분의 비즈니스를 모든 영역에 결쳐 혁신할 수 있습니다. AWS Outposts를 통해 어떻게 진정한 하이브리드 환경을 구현할 수 있는지와 그 깊이 있는 기술에 대해 알아보세요.
source : http://www.opennaru.com/cloud/msa/
마이크로서비스는 애플리케이션 구축을 위한 아키텍처 기반의 접근 방식입니다. 마이크로서비스를 전통적인 모놀리식(monolithic) 접근 방식과 구별 짓는 기준은 애플리케이션을 핵심 기능으로 세분화하는 방식입니다. 각 기능을 서비스라고 부르며, 독립적으로 구축하고 배포할 수 있습니다. 이는 개별 서비스가 다른 서비스에 부정적 영향을 주지 않으면서 작동(또는 장애가 발생)할 수 있음을 의미합니다.
Amazon EKS Architecture in detail including CNI/Networking, IAM, Provisioning, Shared Responsibility Model, Project Calico, Load Balancing, Logging/Metrics, CI/CD using AWS CodePipeline, CodeCommit, CodeBuild, Lambda, Amazon ECR and Parameter Store and finally the use of Spot Instances which could yield a savings of 70-90% versus conventional on-demand EC2 instances.
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.
Deep Dive on Amazon Elastic Container Service (ECS) and FargateAmazon Web Services
This document summarizes a presentation about deploying and managing containerized microservices applications on Amazon ECS. It discusses key components like ECS, ECR, and container instances. It then covers topics like deployment with CloudFormation, cost optimization with reserved instances and spot instances, scaling, security practices like patching and IAM roles, and monitoring with CloudWatch.
Adapting the capacity of your compute infrastructure to the demands of your applications is the domain of Auto Scaling. Adding and removing Amazon EC2 instances is only part of the story, though – there is more to it than first meets the eye. This session introduces the basics of how to use Auto Scaling before moving on to more advanced topics such as mixing Spot and On-Demand instances to optimize cost or strategies for blue/green deployments. If you have used Auto Scaling before, you can learn about useful new features like lifecycle hooks and step scaling policies that make Auto Scaling even more widely applicable.
AWS Direct Connect allows organizations to establish a dedicated network connection from their premises to AWS. It provides higher bandwidth, more consistent network performance than internet-based connections, and avoids public internet charges for data transfer. Customers can establish Direct Connect connections from their data centers to AWS using partner network providers.
온디맨드 다시보기: https://www.youtube.com/watch?v=LMBSWl9Uo-4
2021년 1분기에 서울 리전에 출시 예정인 AWS Control Tower는 모범 사례를 기반으로 고객의 다중 AWS 계정 환경을 자동으로 구성해 줍니다. 본 세션에서는 AWS Control Tower를 활용하여 고객의 조직에서 필요로 하는 다중 AWS 계정 구조을 설계 및 구현하고, 각 계정에 포함해야 하는 기본 가드레일을 정의 및 생성하고, 거버넌스 체계를 구현하는 방법에 대해서 다룹니다.
AWS Fargate is a technology for Amazon ECS and EKS* that allows you to run containers without having to manage servers or clusters. Join us to learn more about how Fargate works, why we built it, and how you can get started using it to run containers today.
This document discusses the transition from monolithic architecture to microservices architecture. It begins by outlining challenges with monolithic systems like long development cycles and difficulties scaling. It then defines microservices as loosely coupled services that have bounded contexts. The document provides examples of how to evolve a monolith to microservices by starting with existing services and gradually decomposing the monolith. It acknowledges challenges in distributed systems and eventual consistency that come with microservices. Overall, the document presents microservices as enabling faster innovation, increased agility and delighted customers compared to monolithic systems.
클라우드 여정의 시작 - 클라우드 전문가 조직의 프랙티컬 가이드-김학민, AWS SA Manager::AWS 마이그레이션 A to Z 웨비나Amazon Web Services Korea
마이그레이션 도중 고객 IT팀은 On-premise 운영 모델에서 클라우드 운영 모델로 전환되어야 합니다. 전환 도중에 ITIL을 클라우드, 애자일, DevOps 기반 역량과 프로세스에 매핑해야 합니다. 해당 세션에서는 클라우드 운영 모델로 원활한 전환을 도와주는 CEE (Cloud Enablement Engine)의 작동 원리 및 적용 방식을 살펴보고자 합니다.
Amazon Virtual Private Cloud (VPC): Networking Fundamentals and Connectivity ...Amazon Web Services
In this session, we will walk through the fundamentals of Amazon Virtual Private Cloud (VPC). We will discuss core VPC concepts including picking your IP space, subnetting, routing, security, NAT and VPC Endpoints.
- Azure Service Bus is a multi-tenant cloud messaging service that provides a fully managed enterprise integration message broker.
- It includes queues for point-to-point messaging and topics with subscriptions for publish-subscribe messaging patterns.
- Messages in Service Bus can contain user-defined properties and a body, and subscriptions can apply filters on properties and actions like routing.
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.
This document summarizes an upcoming presentation on architecting microservices on AWS. The presentation will:
- Review microservices architecture and how it differs from monolithic and service-oriented architectures.
- Cover key microservices design principles like independent deployment of services that communicate via APIs and using the right tools for each job.
- Provide example design patterns for implementing microservices on AWS using services like EC2, ECS, Lambda, API Gateway and more.
- Include a demo of microservices on AWS.
- Conclude with a question and answer session.
AWS Infrastructure as Code - September 2016 Webinar SeriesAmazon Web Services
AWS CloudFormation lets you model, provision, and update a collection of AWS resources with JSON templates. You can manage your Infrastructure as Code and deploy stacks from a single Amazon EC2 instance to multi-tier applications. In this session, we will explore CloudFormation best practices in planning and provisioning your AWS infrastructure. We will cover recent product updates that will help users to make the most of this service and demonstrate new features. This session will benefit both new and experienced users of CloudFormation.
Learning Objectives:
• Learn best practices for managing your infrastructure as code using CloudFormation
• Discover new techniques for making the most of CloudFormation
• Hear about the latest product updates and new features released
Who Should Attend:
• Developers, DevOps, IT Operations, Systems Administrators, Solutions Architects
Integration Patterns and Anti-Patterns for Microservices ArchitecturesApcera
Integration Patterns and Anti-Patterns for Microservices Architectures
David Williams
Co-Founder and Partner, Williams Garcia
You can learn more about NATS at http://www.nats.io
AWS Transit Gateway를 통한 Multi-VPC 아키텍처 패턴 - 강동환 솔루션즈 아키텍트, AWS :: AWS Summit ...Amazon Web Services Korea
AWS Transit Gateway를 통한 Multi-VPC 아키텍처 패턴
강동환 솔루션즈 아키텍트, AWS
고객의 조직, 서비스 구조에 따라 함께 늘어나는 VPC를 효과적으로 통합, 관리, 운영하기 위한 서비스와 아키텍처 패턴을 소개합니다. Peering의 한계를 넘어 VPC간 자유로운 연동을 제공하는 Transit Gateway(TGW), 조직내 다양한 Account간의 VPC 공유를 위한 Multi-Account VPC(MAVPC), 그리고 AWS 자원의 안전한 공유를 제공하기 위한 Resource Access Manager(RAM)를 활용하는 다양한 아키텍처 패턴을 살펴봅니다.
This document provides an overview of microservices and Amazon ECS. It discusses what microservices are, the challenges of implementing microservices, and how Amazon ECS addresses these challenges. Specifically, it covers how ECS provides scalable and automated scheduling of containers across a cluster, integration with other AWS services for areas like load balancing, deployment automation through services, and built-in monitoring with CloudWatch. Examples are given of how a company called Wrapp transitioned their microservices architecture to use ECS and the benefits they realized around management of their containerized applications.
source : http://www.opennaru.com/cloud/msa/
마이크로서비스는 애플리케이션 구축을 위한 아키텍처 기반의 접근 방식입니다. 마이크로서비스를 전통적인 모놀리식(monolithic) 접근 방식과 구별 짓는 기준은 애플리케이션을 핵심 기능으로 세분화하는 방식입니다. 각 기능을 서비스라고 부르며, 독립적으로 구축하고 배포할 수 있습니다. 이는 개별 서비스가 다른 서비스에 부정적 영향을 주지 않으면서 작동(또는 장애가 발생)할 수 있음을 의미합니다.
Amazon EKS Architecture in detail including CNI/Networking, IAM, Provisioning, Shared Responsibility Model, Project Calico, Load Balancing, Logging/Metrics, CI/CD using AWS CodePipeline, CodeCommit, CodeBuild, Lambda, Amazon ECR and Parameter Store and finally the use of Spot Instances which could yield a savings of 70-90% versus conventional on-demand EC2 instances.
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.
Deep Dive on Amazon Elastic Container Service (ECS) and FargateAmazon Web Services
This document summarizes a presentation about deploying and managing containerized microservices applications on Amazon ECS. It discusses key components like ECS, ECR, and container instances. It then covers topics like deployment with CloudFormation, cost optimization with reserved instances and spot instances, scaling, security practices like patching and IAM roles, and monitoring with CloudWatch.
Adapting the capacity of your compute infrastructure to the demands of your applications is the domain of Auto Scaling. Adding and removing Amazon EC2 instances is only part of the story, though – there is more to it than first meets the eye. This session introduces the basics of how to use Auto Scaling before moving on to more advanced topics such as mixing Spot and On-Demand instances to optimize cost or strategies for blue/green deployments. If you have used Auto Scaling before, you can learn about useful new features like lifecycle hooks and step scaling policies that make Auto Scaling even more widely applicable.
AWS Direct Connect allows organizations to establish a dedicated network connection from their premises to AWS. It provides higher bandwidth, more consistent network performance than internet-based connections, and avoids public internet charges for data transfer. Customers can establish Direct Connect connections from their data centers to AWS using partner network providers.
온디맨드 다시보기: https://www.youtube.com/watch?v=LMBSWl9Uo-4
2021년 1분기에 서울 리전에 출시 예정인 AWS Control Tower는 모범 사례를 기반으로 고객의 다중 AWS 계정 환경을 자동으로 구성해 줍니다. 본 세션에서는 AWS Control Tower를 활용하여 고객의 조직에서 필요로 하는 다중 AWS 계정 구조을 설계 및 구현하고, 각 계정에 포함해야 하는 기본 가드레일을 정의 및 생성하고, 거버넌스 체계를 구현하는 방법에 대해서 다룹니다.
AWS Fargate is a technology for Amazon ECS and EKS* that allows you to run containers without having to manage servers or clusters. Join us to learn more about how Fargate works, why we built it, and how you can get started using it to run containers today.
This document discusses the transition from monolithic architecture to microservices architecture. It begins by outlining challenges with monolithic systems like long development cycles and difficulties scaling. It then defines microservices as loosely coupled services that have bounded contexts. The document provides examples of how to evolve a monolith to microservices by starting with existing services and gradually decomposing the monolith. It acknowledges challenges in distributed systems and eventual consistency that come with microservices. Overall, the document presents microservices as enabling faster innovation, increased agility and delighted customers compared to monolithic systems.
클라우드 여정의 시작 - 클라우드 전문가 조직의 프랙티컬 가이드-김학민, AWS SA Manager::AWS 마이그레이션 A to Z 웨비나Amazon Web Services Korea
마이그레이션 도중 고객 IT팀은 On-premise 운영 모델에서 클라우드 운영 모델로 전환되어야 합니다. 전환 도중에 ITIL을 클라우드, 애자일, DevOps 기반 역량과 프로세스에 매핑해야 합니다. 해당 세션에서는 클라우드 운영 모델로 원활한 전환을 도와주는 CEE (Cloud Enablement Engine)의 작동 원리 및 적용 방식을 살펴보고자 합니다.
Amazon Virtual Private Cloud (VPC): Networking Fundamentals and Connectivity ...Amazon Web Services
In this session, we will walk through the fundamentals of Amazon Virtual Private Cloud (VPC). We will discuss core VPC concepts including picking your IP space, subnetting, routing, security, NAT and VPC Endpoints.
- Azure Service Bus is a multi-tenant cloud messaging service that provides a fully managed enterprise integration message broker.
- It includes queues for point-to-point messaging and topics with subscriptions for publish-subscribe messaging patterns.
- Messages in Service Bus can contain user-defined properties and a body, and subscriptions can apply filters on properties and actions like routing.
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.
This document summarizes an upcoming presentation on architecting microservices on AWS. The presentation will:
- Review microservices architecture and how it differs from monolithic and service-oriented architectures.
- Cover key microservices design principles like independent deployment of services that communicate via APIs and using the right tools for each job.
- Provide example design patterns for implementing microservices on AWS using services like EC2, ECS, Lambda, API Gateway and more.
- Include a demo of microservices on AWS.
- Conclude with a question and answer session.
AWS Infrastructure as Code - September 2016 Webinar SeriesAmazon Web Services
AWS CloudFormation lets you model, provision, and update a collection of AWS resources with JSON templates. You can manage your Infrastructure as Code and deploy stacks from a single Amazon EC2 instance to multi-tier applications. In this session, we will explore CloudFormation best practices in planning and provisioning your AWS infrastructure. We will cover recent product updates that will help users to make the most of this service and demonstrate new features. This session will benefit both new and experienced users of CloudFormation.
Learning Objectives:
• Learn best practices for managing your infrastructure as code using CloudFormation
• Discover new techniques for making the most of CloudFormation
• Hear about the latest product updates and new features released
Who Should Attend:
• Developers, DevOps, IT Operations, Systems Administrators, Solutions Architects
Integration Patterns and Anti-Patterns for Microservices ArchitecturesApcera
Integration Patterns and Anti-Patterns for Microservices Architectures
David Williams
Co-Founder and Partner, Williams Garcia
You can learn more about NATS at http://www.nats.io
AWS Transit Gateway를 통한 Multi-VPC 아키텍처 패턴 - 강동환 솔루션즈 아키텍트, AWS :: AWS Summit ...Amazon Web Services Korea
AWS Transit Gateway를 통한 Multi-VPC 아키텍처 패턴
강동환 솔루션즈 아키텍트, AWS
고객의 조직, 서비스 구조에 따라 함께 늘어나는 VPC를 효과적으로 통합, 관리, 운영하기 위한 서비스와 아키텍처 패턴을 소개합니다. Peering의 한계를 넘어 VPC간 자유로운 연동을 제공하는 Transit Gateway(TGW), 조직내 다양한 Account간의 VPC 공유를 위한 Multi-Account VPC(MAVPC), 그리고 AWS 자원의 안전한 공유를 제공하기 위한 Resource Access Manager(RAM)를 활용하는 다양한 아키텍처 패턴을 살펴봅니다.
This document provides an overview of microservices and Amazon ECS. It discusses what microservices are, the challenges of implementing microservices, and how Amazon ECS addresses these challenges. Specifically, it covers how ECS provides scalable and automated scheduling of containers across a cluster, integration with other AWS services for areas like load balancing, deployment automation through services, and built-in monitoring with CloudWatch. Examples are given of how a company called Wrapp transitioned their microservices architecture to use ECS and the benefits they realized around management of their containerized applications.
AWS Business Essentials helps IT business leaders and professionals understand the benefits of cloud computing and how a cloud strategy can help you meet your business objectives. In this course we discuss the advantages of cloud computing for your business and the fundamentals of AWS, including financial benefits. This course also introduces you to successful cloud adoption frameworks so to help you consider the AWS platform within your cloud computing strategy. We have broken this training into 3 parts during the event, in order to complete the training please plan to attend all 3 sessions.
In this session, we walk through the Amazon VPC network presentation and describe the problems we were trying to solve when we created it. Next, we walk through how these problems are traditionally solved, and why those solutions are not scalable, inexpensive, or secure enough for AWS. Finally, we provide an overview of the solution that we've implemented and discuss some of the unique mechanisms that we use to ensure customer isolation, get packets into and out of the network, and support new features like VPC endpoints.
This document discusses scaling applications on AWS to support millions of users. It begins by introducing AWS global infrastructure services like compute, storage, databases, and networking services. It then discusses starting simply with EC2 instances and expanding horizontally and vertically. The document covers database options on AWS like RDS, DynamoDB, and Redshift. It discusses adding features like auto scaling, load balancing, caching, and content delivery. It proposes a service-oriented architecture with loose coupling. It provides an example reference architecture scaled to support over 1 million users.
Keeping consistent environments across your development, test, and production systems can be a complex task. Docker containers offer a way to develop and test your application in the same environment in which it runs in production. You can use tools such as Docker Compose for local testing of applications; Jenkins and AWS CodePipeline for code builds and workflow automation; and Amazon EC2 Container Service (ECS) to manage and scale containers.
AWS DevDay San Francisco, June 21, 2016.
Presenter: Nate Slater, Sr. Manager, Solutions Architecture
Distributed Reactive Architecture: Extending SOA with EventsSteve Pember
This document discusses moving from a traditional monolithic architecture to a distributed reactive architecture using Rabbit MQ. Some benefits mentioned include improved scalability, resilience, and responsiveness by embracing event-driven architecture and message brokers. Rabbit MQ is recommended as it is language agnostic, supports message persistence and recovery, and allows for additional decoupling, though it has some performance overhead from its features. Case studies like Twitter are presented where moving to a reactive architecture improved their ability to handle load.
Deploy, scale, and manage your Microsoft workloads on AWS. We start our session by discussing why customers want to deploy Microsoft Windows applications on AWS as a cloud platform. We talk about reference architectures and best practices for implementing Microsoft products and technologies including Active Directory, Remote Desktop Gateway, Exchange, SharePoint, and Lync in the AWS cloud. We conclude with best practices for managing and monitoring Microsoft technologies in the AWS cloud.
Speaker: Andy Reay, Solutions Architect, Amazon Web Services
Amazon Relational Database Service (Amazon RDS) provides a fully managed relational database service. The presentation discusses key features of RDS including security, customer stories, migration, monitoring, scaling, backups and high availability. It compares Amazon Aurora to MySQL databases and discusses trade-offs of using a managed database service versus self-managed databases.
In dynamic cloud environments, many organizations have a need to implement a unified threat management solution that enhances visibility across their workloads. Learn how REAN Cloud adopted Sophos Unified Threat Management (UTM) for increased simplicity, visibility, and security of their AWS workloads. Sophos is an Advanced Technology Partner in the AWS Partner Network that provides a reliable, unified security solution capable of scaling to meet the agility and speed of the AWS Cloud. Join the upcoming webinar to hear Sri Vasireddy from REAN Cloud, Bryan Nairn from Sophos, and Nick Matthews from AWS discuss security innovations on the AWS Cloud. Join us to learn: • Why Sophos end user REAN Cloud trusts Sophos UTM for simplicity, visibility and security. • How easy it can be to protect your AWS workloads, with a proven and scalable solution designed for the AWS Cloud. • AWS security innovations, including support across multiple Availability Zones and UTM Auto Scaling.
Who should attend: Security Managers, Security Engineers, Security Architects, IT System Administrators, System Administrators, IT Administrators, IT Managers, DevOps, Architects, IT Architects, IT Security Engineers, Business Decision Makers
AWSome Day was an event hosted by AWS Nordics to promote AWS services and solutions. The document advertised prizes that could be won by entering an online draw. It also promoted booth activities at the event and special offers related to AWSome Day. Key topics covered in presentations included the primary reasons businesses use AWS like agility, the breadth of AWS platforms and services, innovation at AWS's scale, and AWS's cost savings and pricing flexibility. Examples were given of how different companies in the Nordics were using AWS for tasks like development and testing, new workloads, supplementing existing workloads, migrating applications, and moving IT entirely to the cloud.
AWS re:Invent 2016: Chalk Talk: Applying Security-by-Design to Drive Complian...Amazon Web Services
The cloud is accelerating the pace at which companies innovate and has shifted the focus on how to approach technology governance and compliance. AWS elects to have a variety of security assessments performed and provides several built-in security features to help meet your security and compliance objectives. In this open roundtable session, we look at how AWS attestations and governance automation can reduce scope to drive security, compliance, and audit assertions across customers organizations. Come and join a discussion with AWS security and compliance Solutions Architects.
The Getting Started on AWS deck serves to introduce Amazon users and prospective customers to the Amazon VPC, EC2 and the concepts and components that are necessary building Fault Tolerant & High Available environments on AWS. It also serves to introduce services like Direct Connect, Router53 (Amazon DNS Service) and one of our new additions, the Amazon
Application Load Balancer (ALB). After perusing this deck, users should have a better understanding of what these services are and their propose benefits.
Analyzing big data quickly and efficiently requires a data warehouse optimized to handle and scale for large datasets. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it simple and cost-effective to analyze big data for a fraction of the cost of traditional data warehouses. By following a few best practices, you can take advantage of Amazon Redshift’s columnar technology and parallel processing capabilities to minimize I/O and deliver high throughput and query performance. This webinar will cover techniques to load data efficiently, design optimal schemas, and use work load management.
Learning Objectives:
• Get an inside look at Amazon Redshift's columnar technology and parallel processing capabilities
• Learn how to migrate from existing data warehouses, optimize schemas, and load data efficiently
• Learn best practices for managing workload, tuning your queries, and using Amazon Redshift's interleaved sorting features
Who Should Attend:
• Data Warehouse Developers, Big Data Architects, BI Managers, and Data Engineers
Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.
Keith Wymbs, CMO at AWS Elemental's presentation to the Video Processing & Delivery track at the Media & Entertainment Cloud Symposium on November 4, 2016
Deep Dive Amazon Redshift for Big Data Analytics - September Webinar SeriesAmazon Web Services
Analyzing big data quickly and efficiently requires a data warehouse optimized to handle and scale for large datasets. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it simple and cost-effective to analyze big data for a fraction of the cost of traditional data warehouses. By following a few best practices, you can take advantage of Amazon Redshift’s columnar technology and parallel processing capabilities to minimize I/O and deliver high throughput and query performance. This webinar will cover techniques to load data efficiently, design optimal schemas, and tune query and database performance.
Learning Objectives:
• Get an inside look at Amazon Redshift's columnar technology and parallel processing capabilities
• Learn how to migrate from existing data warehouses, optimize schemas, and load data efficiently
• Learn best practices for managing workload, tuning your queries, and using Amazon Redshift's interleaved sorting features
AWS Enterprise Summit Netherlands - Starting Your Journey in the CloudAmazon Web Services
This document discusses best practices for getting started with AWS. It recommends laying out foundations such as creating an account structure, setting up billing and access controls using IAM, and choosing initial use cases that are well-scoped such as development and testing. It also emphasizes building on AWS security features and designing systems to take advantage of AWS strengths like auto-scaling and cost-effective storage.
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.
Running Microservices on Amazon ECS - AWS April 2016 Webinar SeriesAmazon Web Services
This document provides an overview of running microservices on Amazon ECS. It begins by defining microservices and describing the challenges of managing them at scale. It then introduces Amazon ECS as a way to easily manage containers across a fleet of servers. Key features of ECS discussed include scalable and flexible container placement, integration with other AWS services for tasks like load balancing, and clustering containers together for management. The document also covers how to address microservices challenges with ECS, such as using services for discovery and deployment, CloudWatch for monitoring, and third party tools for additional functions. Continuous delivery options with Jenkins and Shippable are presented as well.
Deep Dive on Microservices and Amazon ECS by Raul Frias, Solutions Architect,...Amazon Web Services
This document discusses running microservices on Amazon ECS. It begins with an overview of microservices and their characteristics. It then covers some of the key challenges in running microservices at scale, including resource and state management, data management, monitoring, service discovery, and deployment. The remainder of the document discusses how Amazon ECS addresses these challenges through features like container orchestration, load balancing, auto-scaling, service discovery integration, and support for continuous integration/delivery workflows. It includes examples of monitoring microservices with CloudWatch and third-party tools, as well as service discovery options.
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.
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.
Deep Dive on Microservices and Docker - AWS Summit Cape Town 2017Amazon Web Services
Come to this talk to dive deep on running containers at any scale. Learn first hand best practices for deploying microservice architectures to Amazon EC2 Container Service (ECS), as well as everything you need to build a continuous delivery pipeline for your containers.
AWS Speaker: Paul Maddox, Specialist Solutions Architect, DevOps & Developer Technologies - Amazon Web Services
Customer Speaker: Cobus Bernard - DevOps Team Lead, HealthQ
AWS re:Invent 2016: Running Microservices on Amazon ECS (CON309)Amazon Web Services
Running and managing large scale applications with microservices architectures is hard and often requires operating complex container management infrastructure. Amazon EC2 Container Service (ECS) is a highly scalable, high performance container management service that supports Docker containers and allows you to easily run applications on a managed cluster of Amazon EC2 instances. In this session, we will walk through a number of patterns used by our customers to run their microservices platforms. We will dive deep into some of the challenges of running microservices, such as load balancing, service discovery, and secrets management, and we’ll see how Amazon ECS can help address them. We'll also hear from Instacart how they use a blue/green deployment process to deploy services to ECS and how they manage configuration with a RDS-based metadata service.
You have heard how containers are great for running microservices, but what is needed to get microservices to run in production at scale? In this session, we explore the reasoning and concepts behind microservices and how containers simplify building microservices based applications. We will show 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.
Presented by: Danny Fezer, Solutions Architect, Amazon Web Services
Customer Guest: Liz Duke, Technical Delivery Manager, Irdeto
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 deploy and monitor microservices on Amazon EC2 Container Service.
This document discusses running containerized applications at scale on AWS. It begins by explaining why containers are used and the challenges of scaling container workloads, such as resource and state management, monitoring, service discovery, and deployment. It then provides an overview of Amazon ECS concepts like clusters, tasks, and services. The rest of the document discusses how to address the scaling challenges with services like Application Auto Scaling, service discovery options, monitoring with CloudWatch, logging with CloudWatch Logs, task scheduling and placement strategies, IAM roles, and demoing an application on ECS.
Microservices are a software architecture style where applications are composed of small, independent services that communicate using language-agnostic APIs. Microservices are designed to be small, highly decoupled, and focus on doing a single task. This contrasts with monolithic architectures that use a single codebase. Microservices architectures enable independent development, deployment, and scaling of services. However, running microservices at scale introduces challenges around resource management, monitoring, service discovery, and deployment complexity.
This document provides an overview of microservices architecture and Amazon ECS. It begins with definitions of microservices and comparisons to monolithic architectures. Key characteristics of microservices are described. Amazon ECS is introduced as a fully managed container orchestration service that integrates with other AWS services. The document discusses deploying containers on ECS and task placement options. Examples are provided of architectures using ECS and other AWS services like Lambda, Aurora and DynamoDB. Case studies of Samsung and Instacart's use of microservices on ECS are summarized. Details of the internal workings of ECS around scheduling and placement are covered. The Twelve-Factor App methodology is discussed in relation to ECS. Finally, the document introduces Blo
Amazon EKS 그리고 Service Mesh
Kubernetes는 컨테이너 서비스를 도입하는 기업들에게 가장 있기있는 Orchestration 플랫폼입니다. 이 세션에서는 아마존에서 6월 정식 출시한 managed Kubenetes서비스인 EKS를 소개해드리며, 오픈소스 버전과의 차이점 및 장점 등에 대해 설명하고, 진보한 마이크로 서비스인 Service Mesh를 구현하는 Linkerd 소개 및 데모를 진행하고자 합니다.
This document provides an overview of microservices architecture and how to implement it using Amazon ECS and Docker containers. It discusses what microservices are, characteristics of the architecture, and how ECS provides a fully managed platform for deploying and scheduling containers. It also covers task placement strategies, running services on ECS, and reference architectures like continuous deployment, secrets management, and service discovery that align with the twelve-factor app methodology. Finally, it introduces Blox, an open source project that aims to simplify deploying and managing microservices on ECS.
Donnie Prakoso, Technology Evangelist, ASEAN, AWS.
Container technology provides unparalleled improvements in efficiency and agility of packaging and deploying applications. Containers offer VM-like isolation and process-like efficiency and hence are becoming the de-facto method for deploying micro-services. However, using containers for running services at scale has required that operations team handle complex, dynamically changing infrastructure requirements, or run the risk or under- or over-provisioning infrastructure. Sounds like going back to the days before Cloud? In this session, learn how AWS services for containers take the pain out of managing infrastructure, and best practices for developing new services rapidly while running them at scale.
(DVO312) Sony: Building At-Scale Services with AWS Elastic BeanstalkAmazon Web Services
Learn about Sony's efforts to build a cloud-native authentication and profile management platform on AWS. Sony engineers demonstrate how they used AWS Elastic Beanstalk (Elastic Beanstalk) to deploy, manage, and scale their applications. They also describe how they use AWS CloudFormation for resource provisioning, Amazon DynamoDB for the main database, and AWS Lambda and Amazon Redshift for log handling and analysis. This discussion focuses on best practices, security considerations, tradeoffs, and final architecture and implementation. By the end of the session, you will clearly understand how to use Elastic Beanstalk as a platform to quickly and easily build at-scale web application on AWS, and how to use Elastic Beanstalk with other AWS services to build cloud-native applications.
AWS Summit Singapore Webinar Edition | More Containers, Less Operations & Mig...Amazon Web Services
Microservices are an architectural approach where software is composed of small, independent services that communicate over well-defined APIs. Containers provide an ideal way to package and run microservices. Amazon ECS and Fargate provide fully managed container orchestration services to deploy and manage containerized microservices on AWS. ECS integrates with services like Route 53 for service discovery and load balancers for networking microservices. This allows building scalable and resilient applications composed of independent microservices.
This document summarizes Sudhir Tonse's presentation on scalable microservices at Netflix. It discusses the evolution from monolithic applications to microservices at Netflix, including challenges of monolithic apps and benefits of microservices. It covers microservice characteristics and challenges, best practices like service isolation and load balancing, and tools Netflix uses like Eureka, Ribbon, Hystrix and others from NetflixOSS.
Continuous Integration and Deployment Best Practices on AWSAmazon Web Services
With AWS, organizations now have the ability to develop and run their applications with speed and flexibility like never before. Working with an infrastructure that can be 100% API-driven enables organizations to use lean methodologies and realize these benefits. In this session, we will explore some key concepts and design patterns for continuous deployment and continuous integration, two elements of lean application and infrastructure development. We will look at several use cases where IT organizations leveraged AWS to rapidly develop and iterate on applications for scale, high availability and cost optimization.
Speaker: Adrian White, Solutions Architect, Amazon Web Services
Microservizi e container Docker in produzione: strumenti e consigliAmazon Web Services
This document provides an overview and summary of microservices and containers. It discusses:
- Why organizations are adopting containers and microservices architectures
- What containers are and their advantages for microservices
- Characteristics of microservices architectures
- How Amazon ECS can be used to deploy and manage containers at scale
- New placement strategies and attributes in the Amazon ECS task placement engine
- How to consume real-time events from Amazon ECS using the event stream
- An open source project called Blox for building container-based microservices
During this session, you will get an update on what’s happening at AWS, APN program announcements, new services and how to position AWS to the customers. You will also get introduced to some of our ISV solutions that could help you strengthen your value proposition to your customers.nology Update
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Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
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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
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• Monetizing data / APIs
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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.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
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.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
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.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
9. Order UI User UI
Shipping
UI
Order
Service
User
Service
Shipping
Service
Microservices Architecture
10. Order UI User UI UI
Order
Service
Service
Shipping
Service
Order UI
Order UI
User UI UIShipping
UI
Order
ServiceOrder
Service
Service
Service
Service
Service
User
Service
Shipping
Service
Microservices Architecture – Scaling
11. Characteristics of Microservices Architectures
Do one
thing well
Independent
Decentralized
Black Box
Polyglot
You build it, you run it
12. What are Microservices challenges?
Resource and State Management
Monitoring
Service Discovery
Deployment
13. What are Microservices challenges?
Resource and State Management
Monitoring
Service Discovery
Deployment
15. Containers are natural for services
Simple to model
Any app, any language
Image is the version
Test & deploy same artifact
Stateless servers decrease change risk
17. Managing a fleet is hard
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
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Guest OS
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Guest OS
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Guest OS
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Guest OS
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Guest OS
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Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
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Guest OS
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Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
Server
Guest OS
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Guest OS
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Guest OS
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Server
Guest OS
Server
Guest OS
AZ 1 AZ 2
AZ 3
18. Easily Manage Clusters for Any Scale
Nothing to run
Complete state
Control and monitoring
Scale
21. Designed for use with other AWS services
Elastic Load Balancing
Amazon Elastic Block Store
Amazon Virtual Private Cloud
AWS Identity and Access Management
AWS CloudTrail
24. Services
Good for long-running applications
Load Balance traffic across containers
Automatically recover unhealthy containers
Discover services
25. What are Microservices challenges?
Resource and State Management
Monitoring
Service Discovery
Deployment
26. Monitoring with Amazon CloudWatch
Metric data sent to CloudWatch in 1-minute periods and
recorded for a period of two weeks
Available metrics: CPUReservation, MemoryReservation,
CPUUtilization, MemoryUtilization
Available dimensions: ClusterName, ServiceName
28. Monitoring with Amazon CloudWatch
Use the Amazon CloudWatch Monitoring Scripts to monitor
additional metrics, e.g. disk space:
# Edit crontab
> crontab -e
# Add command to report disk space utilization to CloudWatch every five minutes
*/5 * * * * <path_to>/mon-put-instance-data.pl --disk-space-util --disk-space-used --disk-
space-avail --disk-path=/ --from-cron
31. What are Microservices challenges?
Resource and State Management
Monitoring
Service Discovery
Deployment
32. Service Discovery with ECS Services & Route 53
Route 53 private hosted zone
Set search path on hosts with DHCP option sets
Define ECS services with ELB
Create CNAMEs for each ELB
33. Service Discovery with ECS Services & Route 53
Task
Task TaskTask
ECS
Service
Application
router, e.g.
nginx
Internal ELB with
CNAME, e.g.
api.example.com
Route 53 private
zone, e.g.
example.com
34. Service Discovery with Weaveworks
DNS interface for cross-host container communication
Gossip protocol to share grouped updates
Overlay network between hosts
36. Service Discovery and Configuration
Management with Consul
Three main components:
• Consul agent - Runs on each node, responsible for
checking the health of the services and of the node
itself.
• One or more Consul servers - Store and replicate
data, leader elected using the Raft consensus
algorithm
• Registrator agent - Automatically
register/deregisters services based on published
ports and metadata from the container environment
variables defined in the ECS task definition
37. Service Discovery and Configuration
Management with Consul
ECSCluster
consul-server
ECS Instance
consul-agent
registrator
ECS Instance
Back end 1
Back end 2
consul-agent
registrator
ECS Instance
Front end
ECSCluster
38. What are Microservices challenges?
Resource and State Management
Monitoring
Service Discovery
Deployment
39. Scheduling Containers on ECS
Batch Jobs
ECS Task scheduler
Run tasks once
Batch jobs
RunTask (random)
StartTask (placed)
Long-Running Apps
ECS Service scheduler
Health management
Scale-up and scale-down
AZ aware
Grouped Containers
40. Scheduling Containers: Long-running App
Optionally run your service behind a load balancer.
ELB currently supports a fixed relationship between the
load balancer port and the container instance port.
If a task fails the ELB health check, the task is killed and
restarted (until service reaches desired capacity).
41. Scheduling Containers: Long-running App
Update service’s task definition (rolling update)
Specify a deployment configuration for your service:
• minimumHealthyPercent: lower limit (as a percentage of
the service's desiredCount) of the number of running
tasks that must remain running in a service during a
deployment.
• maximumPercent: upper limit (as a percentage of the
service's desiredCount) of the number of running tasks
that can be running in a service during a deployment.
43. Scheduling Containers: Long-running App
Deploy quickly without reducing service capacity:
minimumHealthyPercent = 100%, maximumPercent =
200%
44. Scheduling Containers: Long-running App
Blue-Green Deployments
• Define two ECS services
• Each service is associated w/ ELB
• Both ELBs in Route 53 record set
with weighted routing policy, 100%
Primary, 0% Secondary
• Deploy to Blue or Green service and
switch weights
TaskTask
Route 53
record set
with
weighted
routing
policy
0%
100%
46. Continuous Delivery to ECS with Jenkins
4. Push image to
Docker registry
2. Build image
from sources
3. Run test on image
1. Code push
triggers build
5. Update Service
6. Pull image
47. Continuous Delivery to ECS with Jenkins
Easy Deployment
Developers – Merge into master, done!
Jenkins Build Steps
Trigger via Webhooks, Monitoring, Lambda
Build Docker image via Build and Publish plugin
Push Docker image into Registry
Register Updated Job with ECS API