This document provides an introduction to Amazon Elastic Compute Cloud (EC2). EC2 is a web service that offers scalable and resizable compute capacity in the AWS cloud. It allows users to launch machine images called instances that can be customized with operating systems and applications. Instances provide flexible and temporary block storage and can scale up or down based on demand. EC2 offers multiple instance types and stores applications across global regions and availability zones for high availability and redundancy.
This document provides an introduction and overview of Amazon EC2. It discusses what EC2 is, its core components and features such as Elastic Block Storage, Auto Scaling, and Elastic Load Balancing. It covers EC2 pricing models including On-Demand, Reserved, and Spot Instances. It also provides examples of how to cost-effectively run ASP.NET applications on EC2 and discusses tools for managing EC2 resources.
News International is committed to reducing its on-premises infrastructure and moving to the cloud. It uses Amazon Web Services (AWS) extensively due to the ability to quickly scale up resources as needed and only pay for what is used through AWS's utility pricing model. Moving systems and services to AWS required redesigning applications to be fault-tolerant and scalable. While challenging, AWS provided significant cost savings over maintaining their own data centers and hardware. News International hopes AWS will continue expanding its platform-as-a-service and software-as-a-service offerings.
This document discusses using Amazon Web Services for scientific computing. It covers the different cloud layers including Infrastructure as a Service, Elastic Compute Cloud virtual machines, storage options like Simple Storage Service and Elastic Block Storage, and messaging services like Simple Queue Service. The key points are that setting up EC2 instances takes about half a day for basic functionality, and AWS can provide flexible computing resources for scientific applications.
Cloud computing provides on-demand access to computing resources through the internet. It offers advantages like no capital investment, operational costs through pay-as-you-go pricing, flexibility to scale resources up or down, and the ability for users to focus on core business needs rather than infrastructure maintenance. Virtualization allows for the creation of virtual computing resources and multiplexing of physical hardware, reducing costs. Cloud services can be deployed in public, private, or hybrid models depending on requirements.
Cloud computing is the delivery of computing and storage capacity as a service to end-users. It provides infrastructure (IaaS), platforms (PaaS), and software (SaaS) as services through a cloud delivery model. Common examples of cloud services include Amazon EC2 for IaaS, Windows Azure for PaaS, and Google Apps for SaaS.
Build a Cloud Render-Ready InfrastructureAvere Systems
Webinar presented September 8, 2015
Rendering applications place high-demands on both compute and storage in visual effects infrastructures. With peaks and valleys in the workflow being the norm, leading VFX creators look to the cloud to build infrastructures that provide flexibility to meet ongoing IT management challenges. In this webinar, you’ll hear from industry innovators about the advantages of cloud rendering and how VFX IT leaders are designing this on-demand solution with Avere Systems and Google Cloud Platform. Designed for CTOs, information systems directors, systems engineers and administrators, the content will discuss the initial steps and technical insights of a render-ready hybrid cloud IT architecture.
This document provides an introduction to Amazon Elastic Compute Cloud (EC2). EC2 is a web service that offers scalable and resizable compute capacity in the AWS cloud. It allows users to launch machine images called instances that can be customized with operating systems and applications. Instances provide flexible and temporary block storage and can scale up or down based on demand. EC2 offers multiple instance types and stores applications across global regions and availability zones for high availability and redundancy.
This document provides an introduction and overview of Amazon EC2. It discusses what EC2 is, its core components and features such as Elastic Block Storage, Auto Scaling, and Elastic Load Balancing. It covers EC2 pricing models including On-Demand, Reserved, and Spot Instances. It also provides examples of how to cost-effectively run ASP.NET applications on EC2 and discusses tools for managing EC2 resources.
News International is committed to reducing its on-premises infrastructure and moving to the cloud. It uses Amazon Web Services (AWS) extensively due to the ability to quickly scale up resources as needed and only pay for what is used through AWS's utility pricing model. Moving systems and services to AWS required redesigning applications to be fault-tolerant and scalable. While challenging, AWS provided significant cost savings over maintaining their own data centers and hardware. News International hopes AWS will continue expanding its platform-as-a-service and software-as-a-service offerings.
This document discusses using Amazon Web Services for scientific computing. It covers the different cloud layers including Infrastructure as a Service, Elastic Compute Cloud virtual machines, storage options like Simple Storage Service and Elastic Block Storage, and messaging services like Simple Queue Service. The key points are that setting up EC2 instances takes about half a day for basic functionality, and AWS can provide flexible computing resources for scientific applications.
Cloud computing provides on-demand access to computing resources through the internet. It offers advantages like no capital investment, operational costs through pay-as-you-go pricing, flexibility to scale resources up or down, and the ability for users to focus on core business needs rather than infrastructure maintenance. Virtualization allows for the creation of virtual computing resources and multiplexing of physical hardware, reducing costs. Cloud services can be deployed in public, private, or hybrid models depending on requirements.
Cloud computing is the delivery of computing and storage capacity as a service to end-users. It provides infrastructure (IaaS), platforms (PaaS), and software (SaaS) as services through a cloud delivery model. Common examples of cloud services include Amazon EC2 for IaaS, Windows Azure for PaaS, and Google Apps for SaaS.
Build a Cloud Render-Ready InfrastructureAvere Systems
Webinar presented September 8, 2015
Rendering applications place high-demands on both compute and storage in visual effects infrastructures. With peaks and valleys in the workflow being the norm, leading VFX creators look to the cloud to build infrastructures that provide flexibility to meet ongoing IT management challenges. In this webinar, you’ll hear from industry innovators about the advantages of cloud rendering and how VFX IT leaders are designing this on-demand solution with Avere Systems and Google Cloud Platform. Designed for CTOs, information systems directors, systems engineers and administrators, the content will discuss the initial steps and technical insights of a render-ready hybrid cloud IT architecture.
This document discusses Amazon Web Services (AWS) and the Elastic Compute Cloud (EC2) service. It provides an overview of EC2 instances, how they work, and components like security groups. It then describes Knitting, a tool that defines clusters, machines, roles and deployment scenarios to automate deploying applications on AWS using tools like Fabric and Boto. Knitting definitions are shown that configure a sample "mysite" cluster with frontend and database machines having various roles deployed. Commands are demonstrated for launching machines, installing applications, and running deployment tasks on the cluster. Finally some pros and cons of AWS are briefly mentioned.
This document provides an overview of using Amazon Web Services (AWS) for scientific computing. It demonstrates how to launch an AWS server instance, install software like IPython Notebook, and configure security settings to access a Jupyter notebook remotely. Instructions are given for networking, storage, cost optimization techniques, and best practices for managing AWS resources.
Comparison of AWS, GCP & Azure web solutionsbasit raza
This document compares website solutions on AWS, GCP, and Azure cloud platforms. It outlines that AWS offers simple website hosting starting at $6.03/month, static website hosting for $0.50-1/month, and enterprise hosting with scaling capabilities. GCP offers static hosting on Cloud Storage, VMs on Compute Engine, containers on Container Engine, and managed platforms on App Engine. Azure provides shared, dedicated, isolated, and consumption compute options. The document also notes that on-demand pricing varies by over triple depending on CPU and SSD configuration, and other factors like billing increments and regions also affect final pricing.
Case study of amazon EC2 by Akash BadoneAkash Badone
Introduction to Amazon EC2, Historical Trends, Elastic Map Reduce (EMR), Dynamo DB, RDS, S3, EBS, Iaas, Getting started with EC2 from scratch. Creating key pairs, Launching an instance and types of the instance.AWS services, virtualization and XEN hypervisor with cost (according to on-demand services).
Prevention is better than cure. Learn 3 stages of AWS optimization.
1) Arrest Cloud Leakage
2) Implement Continuous Optimization
3) Explore cost-effective cloud options
ActOnMagic empowers cloud-first and cloud-only companies to Utilise any cloud services efficiently and securely without fear and losing freedom. Visit www.actonmagic.com
Cloudureka: Cloud IaaS Discovery (CID) Platform
Essential Tool kit for every cloud engineer
Search and Compare Any Cloud or Multi- Cloud to measure ROI
ActOnCloud: Intelligent Cloud Essentials (ICE) Platform *
Manage, Optimize and Provision Any Cloud or Multi-Cloud
(MED304) The Future of Rendering: A Complete VFX Studio in the AWS Cloud | AW...Amazon Web Services
Today's studios and visual effects companies require massive computing power and large amounts of storage to produce high-end digital scenes and videos. Maintaining the infrastructure required for these jobs is expensive and operationally difficult, plus demand fluctuates day to day. Geographically diverse workforces adds additional complexity to data and content transfer. The low-cost, utility computing model as well as unique virtualization capabilities offered by AWS are well-suited to addressing these challenges. In this session you will learn how to build and deploy a studio-quality, scalable Arnold render farm on AWS with reusable templates. We'll also demonstrate how to run Maya and Deadline remotely with AWS AppStream, and use them to edit scenes and coordinate render jobs entirely in the cloud.
The document discusses rendering visual effects and animation at scale using Amazon Web Services (AWS). It provides examples of companies using AWS for rendering including theme parks, gaming, and manufacturing. It then discusses the workflow components of VFX/animation rendering and challenges of on-premise rendering capacity. The document outlines how AWS provides scalability and faster outputs through rendering in the cloud. It discusses licensing models for cloud rendering, shared file systems, managing cloud infrastructure, and benchmarks showing improved performance of cloud rendering over on-premise. Overall, the document examines the state of cloud rendering on AWS and trends toward more workloads moving fully to the cloud.
Softlayer began in 2005 and was acquired by IBM in 2013. It provides cloud computing infrastructure including IaaS, PaaS and SaaS. Rendering animation requires huge computing resources and time. Rendering a single animated film can require 300+ artists, 17,000+ CPU cores, 75 million CPU hours and 500 million digital files. Keeping resources on-premises to render films can cost millions whereas cloud infrastructure from Softlayer provides scalable resources more cost effectively. While security and cost concerns still hold the media industry back from fully adopting the cloud, its popularity for rendering is projected to grow to 88% within a year and 60% within 5 years.
Getting Started with AWS provides an overview of fundamental AWS services and steps to get started using AWS. It covers creating an AWS account, SSH keys for access, security groups for firewall rules, launching EC2 virtual machines, connecting to instances, taking EBS volume snapshots for backups, monitoring with CloudWatch alarms, and using S3 storage. The presentation aims to give attendees a hands-on introduction to common AWS services needed for basic deployment and management of cloud resources.
QlikTech is a business intelligence software company that uses Amazon Web Services (AWS) to power its product demonstration website, demo.qlikview.com. AWS provides scalability, reliability, and quick environment changes. Specifically, QlikTech uses Amazon EC2 for the compute infrastructure and Amazon S3 for file storage, leveraging the performance, scalability and reliability of AWS.
Couchbase Server on Azure Cloud - best practices for deploying a development or production environment with Couchbase Server on Microsoft's Azure Cloud Platform.
AWS September Webinar Series - Visual Effects Rendering in the AWS Cloud with...Amazon Web Services
Visual effects rendering has traditionally been a time consuming, resource intensive process. As a result, content producers are moving rendering workloads to the AWS cloud to take advantage of the scalable, on-demand compute resources that can accelerate their rendering workloads.
By attending this webinar, you will learn how to create a scalable rendering infrastructure to grow your farm for any size workload, reduce overall processing time with on-demand and reserve compute instances, and move to a project based cost structure. You will also learn how to implement hybrid rendering workloads using Thinkbox dependency manager.
Learning Objectives:
How to use AWS Cloud to rapidly scale up and down rendering infrastructure to power ThinkBox Deadline software in the cloud for visual effects rendering
Who should attend:
IT administrators, rendering and visual effects professionals
GPU Renderfarm with Integrated Asset Management & Production System (AMPS)Budianto Tandianus
This document describes a GPU renderfarm system integrated with an asset management and production system (AMPS) to efficiently manage rendering assets and accelerate the rendering process for CG movie production. The system allows artists around the world to upload and manage assets through AMPS. Rendering jobs are submitted online to a GPU renderfarm and monitored. Experiments showed nearly linear speedups from adding more GPU nodes, with render time decreasing from over 5 hours on one GPU to under 1.5 hours on two nodes with six GPUs total. Future work includes direct job submission from authoring tools and support for more tools, renderers, and heterogeneous renderfarm configurations.
Amazon Machine Images (AMIs) are virtual machine images used to create EC2 instances on AWS. The Free Tier provides limited free usage of many AWS services for 12 months, including a micro EC2 instance. EC2 provides virtual machines in the cloud, while EBS provides virtual block storage volumes that can be attached to EC2 instances for storage. EBS also allows creating snapshots of volumes for backup stored on S3.
This document provides an overview of Amazon EC2 and how it has evolved over time. It discusses the various EC2 instance types that are optimized for different workloads and use cases. It also covers important performance factors like networking, memory, and storage options. The document demonstrates how auto scaling on EC2 can provide greater flexibility and savings compared to traditional capacity planning.
This document discusses various features of Microsoft Azure Websites including:
- Language support for developing apps with .NET, Python, Node.js, Java, and PHP.
- Deployment options including manual and auto-scaling of instances. Auto-scaling can dynamically scale the web tier based on CPU, memory, and other metrics.
- Additional features like staging environments, web jobs, traffic manager for intelligent routing, backups, and hybrid connections.
- Services that can be used with web sites like Redis Cache, Application Insights, and Debug Console.
- Customizing deployments with deployment scripts and site extensions.
- Fortune 500 companies and over a million developers use Azure Web Sites and
Rockford Web Devs Meetup - AWS - November 10th, 2015Karl Grzeszczak
This document provides an overview of AWS from the perspective of Karl Grzeszczak, a software engineer who works on scaling infrastructure at Mediafly using AWS. It introduces AWS and covers security groups, IAM roles, auto scaling groups, launch configurations, and elastic load balancers. The document encourages readers to experiment with AWS and discusses some pros and cons of using AWS services.
This document discusses 4K media workflows on AWS. It introduces the concept of a "content lake" where all digital content is stored in Amazon S3 regardless of format or resolution. The content lake provides durable, scalable storage that can be accessed from anywhere. Content in the lake can be processed using auto-scaling compute resources like EC2 and then delivered to users. This infrastructure allows for cost-effective ingestion, processing, management and delivery of 4K and other high resolution content in the cloud.
This document discusses cloud computing and Amazon Web Services (AWS). It defines cloud computing and outlines its history and types including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It describes the characteristics of public and private clouds. It provides examples of popular IaaS and PaaS vendors including AWS and describes key AWS services like EC2, S3, RDS, and more. It also outlines AWS pricing models including on-demand, reserved, and spot instances as well as the AWS free tier for new customers.
source: http://www.sfbayacm.org/?p=1394
The specifics of a cloud’s computing architecture may have an impact on application design. This is particularly important in Infrastructure as a Service (IaaS) cloud environments.
This presentation analyzes aspects of the Amazon EC2 IaaS cloud environment that differ from a traditional datacenter and introduces general best practices for ensuring data privacy, storage persistence, and reliable DBMS backup. Best practices for application robustness and scalability on demand are reviewed and are especially significant in leveraging the full potential of an IaaS cloud. The need for a cloud application management and configuration system is briefly reviewed and two alternate approaches to cloud application management are described (RightScale and Kaavo).
This document discusses Amazon Web Services (AWS) and the Elastic Compute Cloud (EC2) service. It provides an overview of EC2 instances, how they work, and components like security groups. It then describes Knitting, a tool that defines clusters, machines, roles and deployment scenarios to automate deploying applications on AWS using tools like Fabric and Boto. Knitting definitions are shown that configure a sample "mysite" cluster with frontend and database machines having various roles deployed. Commands are demonstrated for launching machines, installing applications, and running deployment tasks on the cluster. Finally some pros and cons of AWS are briefly mentioned.
This document provides an overview of using Amazon Web Services (AWS) for scientific computing. It demonstrates how to launch an AWS server instance, install software like IPython Notebook, and configure security settings to access a Jupyter notebook remotely. Instructions are given for networking, storage, cost optimization techniques, and best practices for managing AWS resources.
Comparison of AWS, GCP & Azure web solutionsbasit raza
This document compares website solutions on AWS, GCP, and Azure cloud platforms. It outlines that AWS offers simple website hosting starting at $6.03/month, static website hosting for $0.50-1/month, and enterprise hosting with scaling capabilities. GCP offers static hosting on Cloud Storage, VMs on Compute Engine, containers on Container Engine, and managed platforms on App Engine. Azure provides shared, dedicated, isolated, and consumption compute options. The document also notes that on-demand pricing varies by over triple depending on CPU and SSD configuration, and other factors like billing increments and regions also affect final pricing.
Case study of amazon EC2 by Akash BadoneAkash Badone
Introduction to Amazon EC2, Historical Trends, Elastic Map Reduce (EMR), Dynamo DB, RDS, S3, EBS, Iaas, Getting started with EC2 from scratch. Creating key pairs, Launching an instance and types of the instance.AWS services, virtualization and XEN hypervisor with cost (according to on-demand services).
Prevention is better than cure. Learn 3 stages of AWS optimization.
1) Arrest Cloud Leakage
2) Implement Continuous Optimization
3) Explore cost-effective cloud options
ActOnMagic empowers cloud-first and cloud-only companies to Utilise any cloud services efficiently and securely without fear and losing freedom. Visit www.actonmagic.com
Cloudureka: Cloud IaaS Discovery (CID) Platform
Essential Tool kit for every cloud engineer
Search and Compare Any Cloud or Multi- Cloud to measure ROI
ActOnCloud: Intelligent Cloud Essentials (ICE) Platform *
Manage, Optimize and Provision Any Cloud or Multi-Cloud
(MED304) The Future of Rendering: A Complete VFX Studio in the AWS Cloud | AW...Amazon Web Services
Today's studios and visual effects companies require massive computing power and large amounts of storage to produce high-end digital scenes and videos. Maintaining the infrastructure required for these jobs is expensive and operationally difficult, plus demand fluctuates day to day. Geographically diverse workforces adds additional complexity to data and content transfer. The low-cost, utility computing model as well as unique virtualization capabilities offered by AWS are well-suited to addressing these challenges. In this session you will learn how to build and deploy a studio-quality, scalable Arnold render farm on AWS with reusable templates. We'll also demonstrate how to run Maya and Deadline remotely with AWS AppStream, and use them to edit scenes and coordinate render jobs entirely in the cloud.
The document discusses rendering visual effects and animation at scale using Amazon Web Services (AWS). It provides examples of companies using AWS for rendering including theme parks, gaming, and manufacturing. It then discusses the workflow components of VFX/animation rendering and challenges of on-premise rendering capacity. The document outlines how AWS provides scalability and faster outputs through rendering in the cloud. It discusses licensing models for cloud rendering, shared file systems, managing cloud infrastructure, and benchmarks showing improved performance of cloud rendering over on-premise. Overall, the document examines the state of cloud rendering on AWS and trends toward more workloads moving fully to the cloud.
Softlayer began in 2005 and was acquired by IBM in 2013. It provides cloud computing infrastructure including IaaS, PaaS and SaaS. Rendering animation requires huge computing resources and time. Rendering a single animated film can require 300+ artists, 17,000+ CPU cores, 75 million CPU hours and 500 million digital files. Keeping resources on-premises to render films can cost millions whereas cloud infrastructure from Softlayer provides scalable resources more cost effectively. While security and cost concerns still hold the media industry back from fully adopting the cloud, its popularity for rendering is projected to grow to 88% within a year and 60% within 5 years.
Getting Started with AWS provides an overview of fundamental AWS services and steps to get started using AWS. It covers creating an AWS account, SSH keys for access, security groups for firewall rules, launching EC2 virtual machines, connecting to instances, taking EBS volume snapshots for backups, monitoring with CloudWatch alarms, and using S3 storage. The presentation aims to give attendees a hands-on introduction to common AWS services needed for basic deployment and management of cloud resources.
QlikTech is a business intelligence software company that uses Amazon Web Services (AWS) to power its product demonstration website, demo.qlikview.com. AWS provides scalability, reliability, and quick environment changes. Specifically, QlikTech uses Amazon EC2 for the compute infrastructure and Amazon S3 for file storage, leveraging the performance, scalability and reliability of AWS.
Couchbase Server on Azure Cloud - best practices for deploying a development or production environment with Couchbase Server on Microsoft's Azure Cloud Platform.
AWS September Webinar Series - Visual Effects Rendering in the AWS Cloud with...Amazon Web Services
Visual effects rendering has traditionally been a time consuming, resource intensive process. As a result, content producers are moving rendering workloads to the AWS cloud to take advantage of the scalable, on-demand compute resources that can accelerate their rendering workloads.
By attending this webinar, you will learn how to create a scalable rendering infrastructure to grow your farm for any size workload, reduce overall processing time with on-demand and reserve compute instances, and move to a project based cost structure. You will also learn how to implement hybrid rendering workloads using Thinkbox dependency manager.
Learning Objectives:
How to use AWS Cloud to rapidly scale up and down rendering infrastructure to power ThinkBox Deadline software in the cloud for visual effects rendering
Who should attend:
IT administrators, rendering and visual effects professionals
GPU Renderfarm with Integrated Asset Management & Production System (AMPS)Budianto Tandianus
This document describes a GPU renderfarm system integrated with an asset management and production system (AMPS) to efficiently manage rendering assets and accelerate the rendering process for CG movie production. The system allows artists around the world to upload and manage assets through AMPS. Rendering jobs are submitted online to a GPU renderfarm and monitored. Experiments showed nearly linear speedups from adding more GPU nodes, with render time decreasing from over 5 hours on one GPU to under 1.5 hours on two nodes with six GPUs total. Future work includes direct job submission from authoring tools and support for more tools, renderers, and heterogeneous renderfarm configurations.
Amazon Machine Images (AMIs) are virtual machine images used to create EC2 instances on AWS. The Free Tier provides limited free usage of many AWS services for 12 months, including a micro EC2 instance. EC2 provides virtual machines in the cloud, while EBS provides virtual block storage volumes that can be attached to EC2 instances for storage. EBS also allows creating snapshots of volumes for backup stored on S3.
This document provides an overview of Amazon EC2 and how it has evolved over time. It discusses the various EC2 instance types that are optimized for different workloads and use cases. It also covers important performance factors like networking, memory, and storage options. The document demonstrates how auto scaling on EC2 can provide greater flexibility and savings compared to traditional capacity planning.
This document discusses various features of Microsoft Azure Websites including:
- Language support for developing apps with .NET, Python, Node.js, Java, and PHP.
- Deployment options including manual and auto-scaling of instances. Auto-scaling can dynamically scale the web tier based on CPU, memory, and other metrics.
- Additional features like staging environments, web jobs, traffic manager for intelligent routing, backups, and hybrid connections.
- Services that can be used with web sites like Redis Cache, Application Insights, and Debug Console.
- Customizing deployments with deployment scripts and site extensions.
- Fortune 500 companies and over a million developers use Azure Web Sites and
Rockford Web Devs Meetup - AWS - November 10th, 2015Karl Grzeszczak
This document provides an overview of AWS from the perspective of Karl Grzeszczak, a software engineer who works on scaling infrastructure at Mediafly using AWS. It introduces AWS and covers security groups, IAM roles, auto scaling groups, launch configurations, and elastic load balancers. The document encourages readers to experiment with AWS and discusses some pros and cons of using AWS services.
This document discusses 4K media workflows on AWS. It introduces the concept of a "content lake" where all digital content is stored in Amazon S3 regardless of format or resolution. The content lake provides durable, scalable storage that can be accessed from anywhere. Content in the lake can be processed using auto-scaling compute resources like EC2 and then delivered to users. This infrastructure allows for cost-effective ingestion, processing, management and delivery of 4K and other high resolution content in the cloud.
This document discusses cloud computing and Amazon Web Services (AWS). It defines cloud computing and outlines its history and types including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It describes the characteristics of public and private clouds. It provides examples of popular IaaS and PaaS vendors including AWS and describes key AWS services like EC2, S3, RDS, and more. It also outlines AWS pricing models including on-demand, reserved, and spot instances as well as the AWS free tier for new customers.
source: http://www.sfbayacm.org/?p=1394
The specifics of a cloud’s computing architecture may have an impact on application design. This is particularly important in Infrastructure as a Service (IaaS) cloud environments.
This presentation analyzes aspects of the Amazon EC2 IaaS cloud environment that differ from a traditional datacenter and introduces general best practices for ensuring data privacy, storage persistence, and reliable DBMS backup. Best practices for application robustness and scalability on demand are reviewed and are especially significant in leveraging the full potential of an IaaS cloud. The need for a cloud application management and configuration system is briefly reviewed and two alternate approaches to cloud application management are described (RightScale and Kaavo).
This document provides an overview of Amazon Web Services (AWS) and Amazon Elastic Compute Cloud (EC2). It defines common cloud computing models like SaaS, PaaS, IaaS and discusses key EC2 concepts such as elasticity, security, pricing models and cost savings strategies. Instance types, operating systems, data transfer costs and the EC2 API are also summarized. The document aims to introduce readers to AWS and EC2 capabilities for flexible and scalable cloud computing.
The document provides an overview of Amazon Elastic Compute Cloud (EC2) and related AWS foundational services:
- EC2 allows users to launch virtual computing environments called instances, choosing between different configurations, operating systems, and pricing models.
- Related services include Amazon Virtual Private Cloud (VPC) for virtual networking, Amazon Simple Storage Service (S3) and Amazon Elastic Block Store (EBS) for storage, and support tools like the AWS Management Console.
- The document discusses EC2 instance types, Amazon Machine Images (AMIs), networking, security, pricing options, and how to launch and manage instances.
Amazon EC2 changes the economics of computing and provides you with complete control of your computing resources. It is designed to make web-scale cloud computing easier for developers. In this session, we will take you on a journey, starting with the basics of key management and security groups and ending with an explanation of Auto Scaling and how you can use it to match capacity and costs to demand using dynamic policies. We will also discuss tools and best practices that will help you build failure resilient applications that take advantage of the scale and robustness of AWS regions.
Let’s get started. Join this session to continue your journey through the core AWS services with live demonstrations of how to set up and use the services.
EC2 is Amazon's Elastic Compute Cloud that provides secure and scalable virtual computing resources. It offers virtual machines known as instances that customers can launch, manage, and terminate as needed. EC2 provides high performance, reliability and scalability by distributing instances across multiple regions and availability zones. Customers pay for instances based on factors like the instance type, region, operating system and amount of time the instances are running. EC2 integrates with other AWS services and provides features like automatic scaling of resources based on demand.
This document provides an overview of Amazon EC2 and related AWS services. It discusses EC2 instance types and how to choose the right one based on factors like CPU, memory, storage and network performance. It also covers VPC networking, load balancing, monitoring with CloudWatch, security controls, and deployment options like Auto Scaling, CodeDeploy and ECS. The presentation aims to help users understand EC2 concepts, instance options, storage choices, basic VPC networking, monitoring tools, security best practices, and deployment strategies.
Deep Dive on Amazon EC2 Instances - AWS Summit Cape Town 2017Amazon Web Services
Amazon EC2 provides a broad selection of instance types to accommodate a diverse mix of workloads. In this session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and Accelerated Computing (GPU and FPGA) instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
AWS Speaker: Ian Massingham, Sr Mgr, Technical Evangelist - Amazon Web Services
Customer Speaker: Andrew Mori, Konga, Technical Director
Sweet! Running SugarCRM on the Amazon Cloud | SugarCon 2011SugarCRM
Everybody is talking about the Cloud, how it offers infinite scalability and storage and makes it trivial to run hundreds of load balanced servers.
Those of us who are not Zynga or Netflix are generally concerned with more down-to-earth issues such as how to maintain up to date backups, keep an eye on monitoring and minimizing the costs of running our applications in the cloud. This presentation will walk attendees through the tools and services available from the Amazon Cloud and how they can be leveraged to host and manage SugarCRM in the Cloud. It will draw from our experience packaging BitNami stacks, which have been deployed millions of times and power the leading commercial open source companies, including SugarCRM.
Presented by Daniel Lopez, Founder and CTO, BitRock, at SugarCon 2011.
Let’s get started. Join this session to continue your journey through the core AWS services with live demonstrations of how to set up and use the services.
AWS Webcast - AWS Webinar Series for Education #2 - Getting Started with AWSAmazon Web Services
This webinar will cover the basics of getting started with AWS. After a brief overview, this session will dive into core AWS services with live demonstrations of how to set up and utilize compute, storage, and other services. The focus will be on the ease of use and the ability to clone environments that largest customers are running to highlight AWS’ versatility and ease of use as a cloud platform.
AWS provides a range of Compute Services, Amazon EC2, Amazon ECS, AWS Lambda, and AWS Elastic Beanstalk – allowing you to build everything from web applications, mobile backends to data processing applications.
In this session, we will provide an intro level overview of these services and highlight suitable use cases. We will discuss which service to choose to best get your applications up and running on AWS.
AWS Webcast - Webinar Series for State and Local Government #2: Discover the ...Amazon Web Services
The document provides an overview and agenda for a training on Amazon Web Services (AWS). It discusses setting up an AWS account, an overview of key AWS services like Amazon EC2, S3, and others. It also includes demos of setting up an AWS account, using EC2 to launch virtual servers, and uploading and downloading objects from S3 storage. The training aims to help participants get started with AWS and understand its global infrastructure and capabilities.
Amazon EC2 changes the economics of computing and provides you with complete control of your computing resources. It is designed to make web-scale cloud computing easier for developers. In this session, we will take you on a journey, starting with the basics of key management and security groups and ending with an explanation of Auto Scaling and how you can use it to match capacity and costs to demand using dynamic policies. We will also discuss tools and best practices that will help you build failure resilient applications that take advantage of the scale and robustness of AWS regions.
Horst Junker presented on AWS infrastructure services including Amazon VPC, EC2, and S3. He demonstrated creating a VPC with public subnets, launching a web server EC2 instance into it, and copying a web application from an S3 bucket to the instance. Key points covered included VPC networking, EC2 instance types and metadata, and S3 concepts such as buckets and objects.
AWS reinvent 2019 recap - Riyadh - Containers and Serverless - Paul MaddoxAWS Riyadh User Group
This document provides an overview and agenda for an AWS storage, compute, containers, serverless, and management tools presentation. It includes summaries of several upcoming AWS services and features related to EBS, S3, EC2, EKS, Fargate, Lambda, and AWS Cost Optimizer. The speaker is introduced as Paul Maddox, Principal Architect at AWS, with a background in development, SRE, and systems architecture.
This document provides an overview and agenda for a workshop on deploying a deep learning framework on Amazon ECS and Spot Instances. The workshop will:
- Introduce MXNet, an open source deep learning framework, and how it can be used to define, train, and deploy neural networks.
- Discuss containers and how they can increase infrastructure utilization and make it easy to deploy diverse applications on shared hardware.
- Provide an overview of Amazon ECS for managing Docker containers, Amazon ECR for storing container images, and Spot Instances for running containers on unused EC2 capacity.
- Include hands-on labs to set up the environment, build an MXNet Docker image,
Gen Z and the marketplaces - let's translate their needsLaura Szabó
The product workshop focused on exploring the requirements of Generation Z in relation to marketplace dynamics. We delved into their specific needs, examined the specifics in their shopping preferences, and analyzed their preferred methods for accessing information and making purchases within a marketplace. Through the study of real-life cases , we tried to gain valuable insights into enhancing the marketplace experience for Generation Z.
The workshop was held on the DMA Conference in Vienna June 2024.
Discover the benefits of outsourcing SEO to Indiadavidjhones387
"Discover the benefits of outsourcing SEO to India! From cost-effective services and expert professionals to round-the-clock work advantages, learn how your business can achieve digital success with Indian SEO solutions.
Ready to Unlock the Power of Blockchain!Toptal Tech
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HijackLoader Evolution: Interactive Process HollowingDonato Onofri
CrowdStrike researchers have identified a HijackLoader (aka IDAT Loader) sample that employs sophisticated evasion techniques to enhance the complexity of the threat. HijackLoader, an increasingly popular tool among adversaries for deploying additional payloads and tooling, continues to evolve as its developers experiment and enhance its capabilities.
In their analysis of a recent HijackLoader sample, CrowdStrike researchers discovered new techniques designed to increase the defense evasion capabilities of the loader. The malware developer used a standard process hollowing technique coupled with an additional trigger that was activated by the parent process writing to a pipe. This new approach, called "Interactive Process Hollowing", has the potential to make defense evasion stealthier.
3. Personal Background
16 years of Java development
(Banks, Telcos, Government sector)
20+ years of Linux experience
1 year in
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4. 4
A family held corporation
Retail, Hotels, Restaurants,
Real Estate
Generating 220,000 jobs
Target 2018: $11.9B
Thailand, Vietnam,
Malaysia, Germany, Italy,
Austria, Denmark, others
6. War Stories
◂ Deploy 72 vCPU machines within
minutes when demand arose
◂ Scale out automatically as measured
load increases in production
◂ Upgrade a production cluster under
load with no downtime
◂ Deploy a full new environment in an
hour (network, DBs, ELK, instances,
monitoring, etc.)
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7. AWS Cloud
◂ “The cloud is just someone else's computer”
◂ Started in 2006 with S3, EC2, SQS
◂ Offers 100+ services now
◂ Layered services (EC2-Beanstalk-Lambda)
◂ “Pay only for what you use”
◂ Free tier! - https://aws.amazon.com/free/
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10. Hosting your application
◂ EC2 (IaaS)
◂ Get a VM, do what you want
◂ Beanstalk (PaaS)
◂ Provide a JAR file
◂ Lambda (SaaS)
◂ Upload a function which gets invoked
(eg. bridged to a REST API)
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11. AWS Elastic Compute Cloud
◂ Base service for IaaS virtualization
◂ Single VM instances
◂ Auto scaling groups
◂ Elastic Load Balancer
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12. EC2 Hello World
1. Choose an AMI
2. Choose an EC2 instance type
Choose VPC, Subnet, Security Groups, Elastic IP, EBS disks, Shutdown behaviour, ...
<<< these are all optional :)
3. Select SSH key for authentication
4. Launch
Deploy and login to a new machine in ~2 minutes with any configuration!
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14. EC2 instance classes
General purpose
T2 (burstable) or M5 instances
Compute optimized
C5 instances
3.0 GHz Intel Xeon Platinum processors
Run each core at up to 3.5 GHz using Intel
Turbo Boost Technology
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Other instance types
Memory optimized
GPU optimized
Storage optimized
17. Horizontal
- Balance load
between instances
- Achieve high availability
(survive hw failures **)
- Autoscale
based on measured load
Horizontal vs Vertical scaling
Vertical
- Get a bigger machine
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18. Scaling *** as a Service
◂ IaaS
◂ eg. AWS EC2
◂ Scaling is manual
◂ PaaS
◂ eg. AWS Beanstalk
◂ Scaling is provided
◂ SaaS
◂ eg. AWS Lambda, SQS
◂ Scaling is invisible
“Standard queues support a nearly unlimited number of
transactions per second (TPS) per action.” 18
19. Scaling with EC2 - manual configuration
◂ EC2 Launch configuration
◂ AMI + startup script (optional)
◂ EC2 Autoscaling group
◂ Min / max instance count
◂ Elastic Load Balancer
◂ Target Groups
◂ CloudWatch metrics alarms
◂ eg. CPU %, network load, etc.
◂ Autoscaling policies
◂ Alarm -> Scale up 1 instance, cooldown
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23. Infrastructure as Code with Terraform
◂ No more manual configuration on UI
◂ No human mistakes
◂ No single heros
everyone on team can execute it
◂ Fast, reusable
◂ Auditable (git history)
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24. Place your screenshot here
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Terraform Modules
define Resources what
you need to provision
use variables for input
reused for different
environments