Amazon EC2 allows users to provision virtual computing environments called instances, configured with varying combinations of CPU, memory, storage and networking capacity. Users can launch their own machine images preloaded with their choice of operating system, applications and configurations. EC2 provides scalable and flexible cloud computing resources, offering options like pay-as-you-go on-demand instances, discounted reserved instances, and spot instances for unused capacity. Additional features include security groups for network access control, elastic IP addresses, tagging for resources and persistent block level storage with Amazon EBS.
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.
This document provides an introduction to Azure and describes several of its core services. It outlines compute, data, networking and other services available on Azure. Specifically it discusses virtual machines, websites, SQL databases, storage tables and blobs, import/export of large data sets, file services, virtual networks, ExpressRoute for private connections, Traffic Manager for routing, Automation for managing resources via PowerShell runbooks, API Management, backup services, messaging queues, Service Bus Relay for cross-firewall communication, Scheduler for scheduling jobs, caching with Cache service, Content Delivery Network for caching blobs globally, and HDInsight for Hadoop clusters.
This document summarizes a talk on deploying Smalltalk applications to the cloud using Cloud Foundry on Amazon EC2. It provides an overview of Cloud Foundry, describes how to deploy Pharo and GemStone/S applications to Cloud Foundry hosted on Amazon EC2, and discusses how Smalltalk is different than other languages in being deployed as a monolithic image rather than separate files. It encourages feedback on how to make deploying Smalltalk to the cloud more useful to the community.
This document provides an overview of Amazon EC2 including what EC2 is, pricing models, instance types, and storage types. EC2 allows scalable compute capacity in the cloud on a pay-as-you-go basis. There are three pricing models - On-Demand, Reserved Instances, and Spot Instances. Instance types vary in memory, storage, and price based on computing needs. Storage options include EBS for persistent block storage, Instance Store for temporary storage, and S3 for inexpensive data storage.
AWS OpsWorks is an AWS service that allows users to provision and manage AWS resources like EC2 instances, EBS volumes, and EIPs. It uses stacks, layers, and instances to define application environments. Users can define custom layers and applications, and OpsWorks handles provisioning, configuration, deployment, and scaling of instances automatically based on defined recipes and policies. It integrates with other AWS services like IAM, CloudWatch, and CloudTrail and allows cost-effective management of application infrastructure on AWS.
Depending on the level of security your business requires, you can customize the range of services provided, and have a secure hassle free cloud server running by practicing AWS data security.
Amazon EC2 allows users to provision virtual computing environments called instances, configured with varying combinations of CPU, memory, storage and networking capacity. Users can launch their own machine images preloaded with their choice of operating system, applications and configurations. EC2 provides scalable and flexible cloud computing resources, offering options like pay-as-you-go on-demand instances, discounted reserved instances, and spot instances for unused capacity. Additional features include security groups for network access control, elastic IP addresses, tagging for resources and persistent block level storage with Amazon EBS.
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.
This document provides an introduction to Azure and describes several of its core services. It outlines compute, data, networking and other services available on Azure. Specifically it discusses virtual machines, websites, SQL databases, storage tables and blobs, import/export of large data sets, file services, virtual networks, ExpressRoute for private connections, Traffic Manager for routing, Automation for managing resources via PowerShell runbooks, API Management, backup services, messaging queues, Service Bus Relay for cross-firewall communication, Scheduler for scheduling jobs, caching with Cache service, Content Delivery Network for caching blobs globally, and HDInsight for Hadoop clusters.
This document summarizes a talk on deploying Smalltalk applications to the cloud using Cloud Foundry on Amazon EC2. It provides an overview of Cloud Foundry, describes how to deploy Pharo and GemStone/S applications to Cloud Foundry hosted on Amazon EC2, and discusses how Smalltalk is different than other languages in being deployed as a monolithic image rather than separate files. It encourages feedback on how to make deploying Smalltalk to the cloud more useful to the community.
This document provides an overview of Amazon EC2 including what EC2 is, pricing models, instance types, and storage types. EC2 allows scalable compute capacity in the cloud on a pay-as-you-go basis. There are three pricing models - On-Demand, Reserved Instances, and Spot Instances. Instance types vary in memory, storage, and price based on computing needs. Storage options include EBS for persistent block storage, Instance Store for temporary storage, and S3 for inexpensive data storage.
AWS OpsWorks is an AWS service that allows users to provision and manage AWS resources like EC2 instances, EBS volumes, and EIPs. It uses stacks, layers, and instances to define application environments. Users can define custom layers and applications, and OpsWorks handles provisioning, configuration, deployment, and scaling of instances automatically based on defined recipes and policies. It integrates with other AWS services like IAM, CloudWatch, and CloudTrail and allows cost-effective management of application infrastructure on AWS.
Depending on the level of security your business requires, you can customize the range of services provided, and have a secure hassle free cloud server running by practicing AWS data security.
Deploying Applications on AWS - Carlos Conde - AWS Summit ParisAmazon Web Services
This document discusses different options for deploying applications on AWS: Amazon Machine Images (AMIs), AWS Elastic Beanstalk, AWS CloudFormation, and ways to reach users through the AWS Marketplace and Amazon Appstore for Android. It provides information on each service such as how AMIs contain application code and dependencies, how Elastic Beanstalk allows deploying apps without managing infrastructure, and how CloudFormation models AWS resources through templates.
This document introduces core concepts of AWS through a sample standard web architecture. It discusses what AWS is, how and why Amazon launched it, and provides examples of key AWS services like VPC, EC2, EBS, ELB, and managed services. It also covers AWS architecture concepts like regions, availability zones, and infrastructure as code.
EC2 provides a virtual computing environment allowing users to launch instances with different operating systems. Users can specify availability zones, key pairs, and security groups when launching instances. Amazon Machine Images contain the information required to launch instances and can be shared, copied to different regions, or deregistered. EC2 offers various instance types optimized for tasks like machine learning, graphics, storage, and high I/O. Features include elastic IP addresses, auto scaling, multiple locations, and time sync services. Users pay based on actual resources consumed.
Amazon Web Services (AWS) began in 2004 when an Amazon engineer suggested turning their internal infrastructure into an external service. The first AWS product, Simple Queue Service, launched that year. In 2006 AWS officially launched. AWS provides infrastructure and platform services including compute, storage, databases, networking, and more. Popular services include Elastic Compute Cloud (EC2) for virtual servers, Simple Storage Service (S3) for object storage, Relational Database Service (RDS) for managed databases, and Elastic Load Balancing for load balancing.
This document provides an overview of Amazon Elastic Compute Cloud (Amazon EC2). It discusses that EC2 provides secure and resizable compute capacity in the cloud. It allows users to launch virtual server instances that they can use to build and host their applications. Users have full control over their instances and can choose from different configurations in terms of operating systems, storage, memory and CPU. EC2 offers options like On-Demand Instances for flexibility and Reserved Instances for discounts. Additional services like EBS, VPC, CloudWatch, Auto Scaling and Elastic Load Balancing help users manage and scale their infrastructure on EC2.
This document provides an overview of Amazon Web Services (AWS), including key infrastructure services like Amazon EC2, S3, SQS, and CloudFront. It describes what EC2 is and how it provides virtual servers in AWS's cloud via API calls. Storage options on EC2 like instance store, block storage, and S3 are also summarized. Concepts related to EC2 like AMIs, security groups, elastic IP addresses, availability zones, and snapshots are defined. Finally, typical organizational uses of AWS like maintaining AMIs and launching instances for users are briefly outlined.
Amazon EC2 allows users to launch virtual servers called instances in the AWS cloud. Instances can be configured with different CPU, memory, storage and networking capacities depending on the instance type. Users are responsible for launching, stopping, and terminating instances using Amazon Machine Images (AMIs) which contain the information needed to launch instances with a specific configuration like an operating system. Common tasks with EC2 instances include installing web and application servers as well as remotely managing instances. AMIs provide the information required to consistently deploy instances.
Amazon Web Services (AWS) is a secure cloud services platform, offering compute power, database storage, content delivery and other functionality to help businesses scale and grow.
This document provides an overview of Amazon EC2 basics. It discusses what EC2 is, the different regions and availability zones, Amazon Machine Images (AMIs), EC2 instance types and pricing models, using and sharing AMIs, bootstrapping EC2 instances, and monitoring instances with CloudWatch. The presenter then demonstrates launching and configuring an EC2 instance.
This document summarizes Amazon Web Services for cost optimization with spot instances. It discusses using spot instances with Amazon Elastic MapReduce (EMR) to process vast amounts of data across AWS at a lower cost compared to on-demand instances. It provides an overview of AWS regions, availability zones, VPC, EC2, S3, and EMR instance groups for separating compute and storage across dynamically scalable EC2 instances with S3 as the persistent data store.
20200913 JAWS SONIC 2020 JoetsuMyoko Scalable network with AWS TransitGatewayKazuki Ueki
This document appears to be notes about a VPC configuration with 11 availability zones and 1 virtual private cloud with 100GB of storage. It also mentions AWS Managed Services and AWS.
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 - 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.
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.
This document provides an overview of Amazon Web Services (AWS) and its core components. It describes AWS as an ecosystem of interconnected services that provides scalable compute power, database storage, file storage, networking and security - with analogues for traditional on-premise IT infrastructure. Key AWS services covered include Elastic Compute Cloud (EC2) for virtual servers, Simple Database (SDB) and Relational Database Service (RDS) for databases, Simple Storage Service (S3) for file storage, Elastic Block Storage (EBS) for disk volumes, Route 53 for DNS and Identity and Access Management (IAM) for security and user management.
Real World AWS Deployment With Boto, Fabric, and Cloud FormationDixon Whitmire
A real world use case of spinning up EC2 instances using a Python based frameworks (Fabric and Boto) and Cloud Formation. Source code is available on https://github.com/dixonwh/aws-provisioning
EC2 and S3 are core AWS services. EC2 provides virtual servers and S3 provides cloud storage. EC2 instances run on different hardware types and can be configured with operating systems and software. S3 stores files and objects accessed via unique buckets. EBS provides persistent block storage volumes for EC2 instances, while S3 provides scalable cloud storage. VPC allows creation of virtual private networks within AWS.
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.
Autoscaling Ws On Ec2 Apache Con Presentationguest60ed0b
This document discusses auto-scaling Apache Axis2 web services on Amazon EC2. The key points are:
1) Auto-scaling allows a system to scale up when load increases by starting new instances, and scale down when load decreases by terminating instances, in order to optimize costs and avoid idle nodes.
2) The project aims to build a framework that auto-scales the number of Axis2 nodes on Amazon EC2 based on load. It uses Apache Synapse for load balancing and Apache Tribes for node discovery and clustering.
3) The deployment architecture uses a well-known addressable load balancer and membership-aware dynamic load balancing. It maintains Axis2 and Synapse configurations and repositories on S3
This document describes the value-added design and development process used by R.M. Hoffman Company for motion control projects. The 6-step process includes: 1) Discovery to understand the problem and requirements, 2) Design through collaborative meetings, 3) Adaptation to evolving needs, 4) Prototype creation, 5) Validation by the customer, and 6) Production. The Discovery step involves gathering detailed information from the customer to ensure no surprises. This information is then used during Design meetings to quickly develop prototypes and solutions.
PageFair presentation at Worldwide Magazine Media Association (FIPP London 20...Johnny Ryan
1. The user must have immediate tools to reject and complain about advertising, putting the consumer at the core of reform.
2. There should be a more sustainable balance between 'above the line' and 'below the line' advertising, displaying only a limited number of premium ad slots to clean up the web.
3. Contextual targeting can be increased to establish ad relevance, reducing reliance on behavioral tracking.
Deploying Applications on AWS - Carlos Conde - AWS Summit ParisAmazon Web Services
This document discusses different options for deploying applications on AWS: Amazon Machine Images (AMIs), AWS Elastic Beanstalk, AWS CloudFormation, and ways to reach users through the AWS Marketplace and Amazon Appstore for Android. It provides information on each service such as how AMIs contain application code and dependencies, how Elastic Beanstalk allows deploying apps without managing infrastructure, and how CloudFormation models AWS resources through templates.
This document introduces core concepts of AWS through a sample standard web architecture. It discusses what AWS is, how and why Amazon launched it, and provides examples of key AWS services like VPC, EC2, EBS, ELB, and managed services. It also covers AWS architecture concepts like regions, availability zones, and infrastructure as code.
EC2 provides a virtual computing environment allowing users to launch instances with different operating systems. Users can specify availability zones, key pairs, and security groups when launching instances. Amazon Machine Images contain the information required to launch instances and can be shared, copied to different regions, or deregistered. EC2 offers various instance types optimized for tasks like machine learning, graphics, storage, and high I/O. Features include elastic IP addresses, auto scaling, multiple locations, and time sync services. Users pay based on actual resources consumed.
Amazon Web Services (AWS) began in 2004 when an Amazon engineer suggested turning their internal infrastructure into an external service. The first AWS product, Simple Queue Service, launched that year. In 2006 AWS officially launched. AWS provides infrastructure and platform services including compute, storage, databases, networking, and more. Popular services include Elastic Compute Cloud (EC2) for virtual servers, Simple Storage Service (S3) for object storage, Relational Database Service (RDS) for managed databases, and Elastic Load Balancing for load balancing.
This document provides an overview of Amazon Elastic Compute Cloud (Amazon EC2). It discusses that EC2 provides secure and resizable compute capacity in the cloud. It allows users to launch virtual server instances that they can use to build and host their applications. Users have full control over their instances and can choose from different configurations in terms of operating systems, storage, memory and CPU. EC2 offers options like On-Demand Instances for flexibility and Reserved Instances for discounts. Additional services like EBS, VPC, CloudWatch, Auto Scaling and Elastic Load Balancing help users manage and scale their infrastructure on EC2.
This document provides an overview of Amazon Web Services (AWS), including key infrastructure services like Amazon EC2, S3, SQS, and CloudFront. It describes what EC2 is and how it provides virtual servers in AWS's cloud via API calls. Storage options on EC2 like instance store, block storage, and S3 are also summarized. Concepts related to EC2 like AMIs, security groups, elastic IP addresses, availability zones, and snapshots are defined. Finally, typical organizational uses of AWS like maintaining AMIs and launching instances for users are briefly outlined.
Amazon EC2 allows users to launch virtual servers called instances in the AWS cloud. Instances can be configured with different CPU, memory, storage and networking capacities depending on the instance type. Users are responsible for launching, stopping, and terminating instances using Amazon Machine Images (AMIs) which contain the information needed to launch instances with a specific configuration like an operating system. Common tasks with EC2 instances include installing web and application servers as well as remotely managing instances. AMIs provide the information required to consistently deploy instances.
Amazon Web Services (AWS) is a secure cloud services platform, offering compute power, database storage, content delivery and other functionality to help businesses scale and grow.
This document provides an overview of Amazon EC2 basics. It discusses what EC2 is, the different regions and availability zones, Amazon Machine Images (AMIs), EC2 instance types and pricing models, using and sharing AMIs, bootstrapping EC2 instances, and monitoring instances with CloudWatch. The presenter then demonstrates launching and configuring an EC2 instance.
This document summarizes Amazon Web Services for cost optimization with spot instances. It discusses using spot instances with Amazon Elastic MapReduce (EMR) to process vast amounts of data across AWS at a lower cost compared to on-demand instances. It provides an overview of AWS regions, availability zones, VPC, EC2, S3, and EMR instance groups for separating compute and storage across dynamically scalable EC2 instances with S3 as the persistent data store.
20200913 JAWS SONIC 2020 JoetsuMyoko Scalable network with AWS TransitGatewayKazuki Ueki
This document appears to be notes about a VPC configuration with 11 availability zones and 1 virtual private cloud with 100GB of storage. It also mentions AWS Managed Services and AWS.
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 - 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.
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.
This document provides an overview of Amazon Web Services (AWS) and its core components. It describes AWS as an ecosystem of interconnected services that provides scalable compute power, database storage, file storage, networking and security - with analogues for traditional on-premise IT infrastructure. Key AWS services covered include Elastic Compute Cloud (EC2) for virtual servers, Simple Database (SDB) and Relational Database Service (RDS) for databases, Simple Storage Service (S3) for file storage, Elastic Block Storage (EBS) for disk volumes, Route 53 for DNS and Identity and Access Management (IAM) for security and user management.
Real World AWS Deployment With Boto, Fabric, and Cloud FormationDixon Whitmire
A real world use case of spinning up EC2 instances using a Python based frameworks (Fabric and Boto) and Cloud Formation. Source code is available on https://github.com/dixonwh/aws-provisioning
EC2 and S3 are core AWS services. EC2 provides virtual servers and S3 provides cloud storage. EC2 instances run on different hardware types and can be configured with operating systems and software. S3 stores files and objects accessed via unique buckets. EBS provides persistent block storage volumes for EC2 instances, while S3 provides scalable cloud storage. VPC allows creation of virtual private networks within AWS.
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.
Autoscaling Ws On Ec2 Apache Con Presentationguest60ed0b
This document discusses auto-scaling Apache Axis2 web services on Amazon EC2. The key points are:
1) Auto-scaling allows a system to scale up when load increases by starting new instances, and scale down when load decreases by terminating instances, in order to optimize costs and avoid idle nodes.
2) The project aims to build a framework that auto-scales the number of Axis2 nodes on Amazon EC2 based on load. It uses Apache Synapse for load balancing and Apache Tribes for node discovery and clustering.
3) The deployment architecture uses a well-known addressable load balancer and membership-aware dynamic load balancing. It maintains Axis2 and Synapse configurations and repositories on S3
This document describes the value-added design and development process used by R.M. Hoffman Company for motion control projects. The 6-step process includes: 1) Discovery to understand the problem and requirements, 2) Design through collaborative meetings, 3) Adaptation to evolving needs, 4) Prototype creation, 5) Validation by the customer, and 6) Production. The Discovery step involves gathering detailed information from the customer to ensure no surprises. This information is then used during Design meetings to quickly develop prototypes and solutions.
PageFair presentation at Worldwide Magazine Media Association (FIPP London 20...Johnny Ryan
1. The user must have immediate tools to reject and complain about advertising, putting the consumer at the core of reform.
2. There should be a more sustainable balance between 'above the line' and 'below the line' advertising, displaying only a limited number of premium ad slots to clean up the web.
3. Contextual targeting can be increased to establish ad relevance, reducing reliance on behavioral tracking.
This document provides an overview of NoSQL databases, including a brief history, classifications, pros and cons of usage, and trends. It discusses how NoSQL technologies originated from distributed computing needs and were driven by scalability, parallelization, and costs. Major classifications of NoSQL databases are described as column-oriented stores, key-value stores, document stores, and graph databases. Examples like MongoDB, Cassandra, and Neo4j are outlined. Both benefits and limitations of NoSQL are presented. Emerging trends around SQL access and adoption of Hadoop are also noted.
This document provides instructions for baking a Brizzle cake. The cake is made from a yellow cake mix, pistachio pudding mix, eggs, orange juice, oil, vanilla, nuts, chocolate syrup, and flour. It is baked at 350 degrees F for 50-60 minutes. Once cooled, the cake is topped with nuts and drizzled with an icing made from powdered sugar, liqueur, and Heath Bits 'O Brickle. Cutting the cake between the topping nuts allows for easy serving. Guests will remember the unique cake after dinner.
This document outlines an educational series on the role of email marketing. The 12-part series will cover topics such as email metrics, list growth strategies, and building cross-channel marketing programs. It introduces the speaker, Christopher Barnes, an email marketing expert with 30 years of experience. Barnes will discuss why email remains an effective marketing channel, how it can be used to engage customers and build relationships, and the importance of permission-based opt-in email programs.
This document provides tips for creating effective marketing emails. It discusses how email offers the highest ROI of any direct marketing channel. The keys to a great email include making it permission-based, personalized, relevant and optimized for the subscriber's device. Extensive testing of subject lines, content and design is important to maximize opens, clicks and conversions. Engagement can be increased by incorporating customer reviews, sharing options and interactive elements into emails.
This document provides an overview of AWS services including EC2, EBS, Auto Scaling, ELB, S3, IAM, VPC, Route 53, RDS, CloudWatch, Aurora, Glacier, and CloudFormation. It describes the purpose and basic usage of each service. Key points covered include launching EC2 instances, attaching EBS volumes, setting up auto scaling groups, load balancing with ELB, storing objects in S3, managing access with IAM, building VPC networks, configuring DNS with Route 53, provisioning databases with RDS, monitoring with CloudWatch, archiving with Glacier, and defining infrastructure as code with CloudFormation.
This presentation covers AWS foundational services such as Amazon EC2, Amazon S3 and Amazon RDS as well as an introduction to AWS deployment tools and techniques and the next steps that you can take to continue developing your knowledge.
The IoT Academy_awstraining_part2_aws_ec2_iaasThe IOT Academy
This document provides an overview of Amazon Web Services (AWS) and its infrastructure services, with a focus on Amazon Elastic Compute Cloud (EC2). It describes the main EC2 concepts like Amazon Machine Images (AMIs), instances, regions/availability zones, storage options, networking and security features, monitoring and auto-scaling capabilities. It also discusses how to access and manage EC2 instances using the AWS management console, command line tools, and APIs.
The document summarizes an AWS user group presentation by Shaimaa Esmaeil on AWS101. The presentation introduced cloud computing concepts, AWS global infrastructure and services, and demonstrated EC2 and S3. It discussed on-premises vs cloud, cloud models (IaaS, PaaS, SaaS), AWS regions and availability zones. It provided overviews of EC2 instances, AMIs, types, EBS, security groups and S3 buckets and objects. Useful training and practice exam resources were also shared.
Amazon Elastic Compute Cloud (Amazon EC2) is a web service that allows users to rent virtual computers on which to run their own computer applications. It provides scalable deployment of applications by allowing users to create, launch, and terminate virtual server instances as needed. EC2 provides control over the location of instances and offers 12 types of instances. It allows flexible scaling of computing power and reduces costs by only paying for resources used.
The document provides instructions for launching an M-Pin Core service instance on Amazon EC2. It describes choosing an Amazon Machine Image, instance type, storage options, and configuring security groups. The steps also cover accessing the M-Pin Core trial demo and configuring the instance host and port. Once launched, the M-Pin Core service can be accessed in a browser to create identities and pins for strong authentication testing.
The document provides instructions for launching the M-Pin Core service on Amazon Elastic Compute Cloud (EC2). It describes:
1) How to create an EC2 instance, including choosing an Amazon Machine Image, instance type, storage, security groups, and other configuration details.
2) How to launch the M-Pin Core instance and access the 30-day free trial. This involves configuring the instance, host, and port and viewing the M-Pin Core service in a browser.
3) How to create an identity and pin using the M-Pin Core demo, and log in to test the strong authentication capabilities.
The document provides instructions for launching an M-Pin Core service instance on Amazon EC2. It describes choosing an Amazon Machine Image, instance type, storage options, and configuring security groups. The steps also cover accessing the M-Pin Core trial demo and configuring the instance host and port. Once launched, the M-Pin Core service can be accessed in a browser to create identities and pins for strong authentication testing.
The document outlines an AWS technical essentials training module on infrastructure. It describes the five modules that will be covered: AWS introduction and history, AWS infrastructure including compute, storage and networking services, security, identity and access management, databases, and AWS elasticity and management tools. It provides details on the first module which gives an overview of AWS history and services.
The document provides an overview of Amazon Web Services (AWS) and its computing services. It describes Amazon Elastic Compute Cloud (EC2) which allows users to launch virtual servers called instances in AWS data centers. It provides flexibility, cost effectiveness, scalability, security and reliability. EC2 reduces time to obtain servers and allows users to pay only for what they use.
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).
Amazon Elastic Compute Cloud (EC2) - Module 2 Part 1 - AWSome Day 2017Amazon Web Services
Amazon Elastic Compute Cloud (EC2) provides resizable compute capacity in the cloud. It allows users to launch server instances that have complete control and flexibility. Instances can be launched and booted rapidly in just minutes. EC2 allows users to pay only for the computing capacity they actually use and choose between Linux and Windows instances.
Amazon EC2 is AWS's Elastic Compute Cloud that provides scalable computing capacity in the cloud. It allows users to run applications and programs in the AWS cloud environment. EC2 offers benefits like elastic web-scale computing where users can increase or decrease capacity quickly. Users have full control of EC2 instances and flexibility to choose operating systems and software. EC2 is integrated with other AWS services and offers a reliable, secure, and inexpensive environment for applications.
This document provides an overview of architecting applications for the AWS cloud. It discusses key AWS cloud computing attributes like scalability, on-demand provisioning, and efficiency of experts. It also outlines best practices like designing for failure, loose coupling, dynamism, and security. Specific AWS services are mapped to common application needs like compute, storage, content delivery, databases, and more. Overall the document aims to educate readers on how to leverage AWS architectural principles and services.
This document outlines a project on Amazon Web Services (AWS) cloud computing platform. It begins with an introduction to AWS, describing how it was launched in 2006 as a cloud services platform providing on-demand computing resources. The document then covers AWS' global infrastructure, including availability zones and edge locations. It also details several AWS cloud services such as EC2, S3, IAM, and CloudFront. Features and benefits of AWS like scalability, security and pay-as-you-go pricing model are highlighted. Finally, the document analyzes an example cloud architecture usage case and provides a critical evaluation of AWS outages.
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.
Developing And Running A Website On Amazon S Ejaymuntz
This document provides an overview of Amazon EC2, including what EC2 is, hardware and software options, important concepts like security groups and availability zones, using EC2 to host a LAMP website, advantages and caveats of EC2. It discusses instance types, machine images, storage with S3 and EBS, elastic IP addresses, regions and availability zones, fees, and provides a case study of setting up a LAMP project on EC2.
- IBM Spectrum Scale can run workloads in various public clouds like Amazon Web Services (AWS) and future support for Google Cloud Platform. It can tier data between on-premise and various cloud platforms.
- The session will describe how Spectrum Scale can be deployed and consumed in clouds today through fully managed and custom solutions. It will also cover how to connect on-premise Spectrum Scale installations to clouds for hybrid cloud capabilities.
- Spectrum Scale on AWS is available through AWS Marketplace. It allows users to deploy their own Spectrum Scale cluster on AWS infrastructure with various configuration options through CloudFormation templates.
Rapid Development of Big Data applications using Spring for Apache Hadoopzenyk
Spring for Apache Hadoop provides a collection of extensions and wrappers which make real-life project development using Hadoop technologies much easier, just like it has done for J2EE. Moreover, it doesn’t force you to dramatically change the way you develop applications – you still work with Java stack. In my presentation I’ll describe how we used Spring for Apache Hadoop to speed up and simplify development of business features using Big Data technologies. Main focus:
High level APIs for different aspects
Modularity & Testability
Integration with Spring Batch and other Spring projects
Scripting
Extensibility & Caveats
The document discusses Puppet, an open source configuration management tool. It provides an overview of Puppet including its main ideas of declaratively describing system resources and state, components like the Puppet master and agent, and how it works through a client-server model. The document also briefly mentions alternatives to Puppet like Chef and CFEngine, and the related orchestration tool MCollective.
This document discusses Spring for Apache Hadoop, a framework that simplifies using Apache Hadoop and related projects like HBase and Hive within the Spring programming model. It provides wrappers and configuration for common Hadoop tasks like MapReduce jobs, scripting, and accessing Hadoop databases and data processing engines. The goals are to provide a programmatic model for the Hadoop ecosystem, simplify client libraries, and leverage Spring features. It supports various Hadoop distributions and provides interfaces for MapReduce, HBase, Hive, Pig and other Hadoop technologies.
This document discusses Hadoop solutions and tools. It provides an overview of why Hadoop is used for tasks like smart meter analysis and fraud detection. It also describes tools for ingesting and exporting data from Hadoop like Flume and Sqoop. Common data formats, serialization frameworks, compression techniques and tools for testing data are outlined. The document also discusses tools for analysis like Pig and Hive and the HBase database. Finally, it reviews major Hadoop providers like Apache, Cloudera, Amazon EMR and Hortonworks and the future of technologies like Percolator, Dremel and Pregel.
This document discusses emotional intelligence (EQ). It defines EQ as the ability to identify, assess, and control one's own emotions and the emotions of others. The document separates EQ into four main skill groups: self-awareness, self-management, social awareness, and relationship management. It provides examples of each skill group and suggests ways people can improve their EQ skills, such as practicing self-reflection, stress management, active listening, and assertive communication. The document recommends additional reading on EQ and leaves time for questions at the end.
Provides a modern 2011 look on the state of Web Development on Java platform.
Covers framework classification, main features of each framework, how to select a framework and modern tools usage for Java web development
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
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.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
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.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
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 .
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
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.
4. Common AWS aspects Pay only for what you’ve used. Everything has an API. API is simple, available for most modern languages. Easy to get started – only credit card needed. Infrastructure-as-a-Service – no local deployments. Closed source implementation – open source ideas. Tight integration between the services. 4
5. Amazon EC2 Provides resizable compute capacity. In most simple case – dedicated hosting, in most complex case – scalable cloud. Available Linux and Windows instances (AMIs). Multiple locations available. Scalability build-in (Auto Scaling, Load Balancing, Monitoring). 5
6. Amazon S3 Provides storage interface to data. Used to serve static traffic, when serving from server is not enough but CDN is too much. From 1 byte to 5 TB. Simple API with lots of clients. Both public and private. Encrypted and not. Somewhat reliable 6
7. Amazon SQS Scalable messaging. Durable, queue based. Message up to 64k. Secure, if needed. Simple locking and expiration. Pull based. 7
8. Amazon SNS For notifications “from the cloud”. Has different options than Amazon SQS. More topic than queue oriented. Publisher/subscriber model. Push based. Lots of notification options. 8
9. Amazon Elastic MapReduce Hadoop in the cloud. Very easy to use. Hadoop it tough to setup. Based on EC2 and S3. Possible to tune. Possible to monitor. 9
11. Main terms AMI – Amazon Machine Image – image of OS. Instance – Running AMI. Instance Type – hardware configuration for instance. EBS - Elastic Block Store – persistent store. Location – physical location, not possible to change. Elastic IP – IP assigned to any Instance. Elastic Load Balancing – Load balancing on top of instances. 11
12. Typical flow Select instance type (e.g. hardware configuration) Select or upload AMI (e.g. operation system) Decide whether to use EBS (e.g. with hard-drive or not) Run! (e.g. power on) Stop/Terminate (e.g. reset or erase) 12
13. Available AMIs, Instance Types AMIs: Linux based Windows based With special software (e.g. Flash Media Server) Instances: From small to big From High-CPU to High-Memory Clusters, CPU and GPU 13
18. Services and sites using AWS Heroku – scalable Ruby on Rails PAAS hosting. U.S. Department of State. Alexa – search and information services. Yelp – local reviews. PlayFish – social games. 18
19. Practical usage Test environments, especially automations. Staging environments. Demo environments. Production environments. Easy to set up, easy to use. 19