This document discusses AWS Auto Scaling, which automatically launches and terminates EC2 instances based on demand. It describes the key components of Auto Scaling including launch configurations, Auto Scaling groups, scaling policies, and CloudWatch alarms. It provides step-by-step instructions for setting up a simple Auto Scaling group to support a web application, including creating an AMI, load balancer, launch configuration, Auto Scaling group, scaling policies, and CloudWatch alarms to dynamically scale the number of EC2 instances.
This document discusses how AWS Control Tower can be used to govern multi-account AWS environments at scale. It provides an overview of AWS Control Tower's key capabilities including automated setup of a landing zone with best practice blueprints and guardrails, account factory for provisioning accounts, centralized identity and access management, and built-in monitoring and notifications. Examples are also given of how AWS Control Tower can be used to implement common multi-account architectures and operational models.
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.
AWS Elastic Beanstalk is a service that allows developers to quickly deploy and manage applications in the AWS cloud without worrying about the underlying infrastructure. It provides an easy way to launch applications developed in Java or other languages and have them automatically scaled across Amazon EC2 instances. Key features include automated provisioning and deployment, easy management of settings, built-in monitoring, and troubleshooting tools. Developers retain full control over their AWS resources while taking advantage of Elastic Beanstalk's management capabilities.
AWS Control Tower is a new AWS service for cloud administrators to set up and govern their secure, compliant, multi-account environments on AWS.
In this session, University of York will discuss their implementation of AWS Landing Zone. We’ll also explain how AWS Control Tower automates AWS Landing Zone creation with best-practice blueprints.
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 features, and the concept of instance generations.
This document outlines an agenda for an AWS Cost Management workshop. The agenda includes introductions and sessions on AWS Cost Explorer, AWS Budgets, AWS Reservations, and AWS Cost & Usage Reports. It provides overviews of AWS cost management products and highlights recent features including budget redesigns, forecasting enhancements, and reserved instance management updates.
An Introduction to the AWS Well Architected Framework - Webinar
This document provides an introduction to the AWS Well-Architected Framework, which consists of five pillars - security, reliability, performance efficiency, cost optimization, and operational excellence. It discusses the recent addition of the operational excellence pillar and updates to the reliability pillar. It also covers new architecture type overlays and available resources like whitepapers, online training, and reference architectures. The session is intended for architects, developers, managers, and IT professionals interested in cloud architecture best practices.
Introduction to AWS Lambda and Serverless Applications
In this session we’ll take a high-level overview of AWS Lambda, a serverless compute platform that has changed the way that developers around the world build applications. We’ll explore how Lambda works under the hood, the capabilities it has, and how it is used. By the end of this talk you’ll know how to create Lambda based applications and deploy and manage them easily.
Speaker: Chris Munns - Principal Developer Advocate, AWS Serverless Applications, AWS
AWS Training For Beginners | AWS Certified Solutions Architect Tutorial | AWS...
This AWS training for beginners presentation will help you understand what is AWS (Amazon Web Services), how did AWS become so successful, the services that AWS provides (AWS EC2, Amazon Elastic Beanstalk, Amazon Lightsail, Amazon Lambda, Amazon S3, Amazon Glacier, Amazon EBS, Amazon Elastic File System, Amazon RDS, Amazon Redshift), the future of AWS and a demonstration on deploying a web application in AWS. Amazon Web services (AWS) provide a lot of benefits to a business organization. These benefits allow you to maximize your productivity and enhance efficiency. This AWS tutorial video is ideal for those who aspire to become AWS Certified Solution Architect. Now, let us deep dive into the video to understand what AWS actually is and what are the services that AWS provides to an organization.
The below topics are covered in this AWS presentation:
1. What is AWS?
2. How did AWS become so successful?
3. The services AWS provides
4. The future of AWS
5. Use case - Deploying a web application
This AWS certification training is designed to help you gain the in-depth understanding of Amazon Web Services (AWS) architectural principles and services. You will learn how cloud computing is redefining the rules of IT architecture and how to design, plan, and scale AWS Cloud implementations with best practices recommended by Amazon. The AWS Cloud platform powers hundreds of thousands of businesses in 190 countries, and AWS certified solution architects take home about $126,000 per year.
This AWS certification course will help you learn the key concepts, latest trends, and best practices for working with the AWS architecture – and become industry-ready AWS certified solutions architect to help you qualify for a position as a high-quality AWS professional.
The course begins with an overview of the AWS platform before diving into its individual elements: IAM, VPC, EC2, EBS, ELB, CDN, S3, EIP, KMS, Route 53, RDS, Glacier, Snowball, Cloudfront, Dynamo DB, Redshift, Auto Scaling, Cloudwatch, Elastic Cache, CloudTrail, and Security. Those who complete the course will be able to:
1. Formulate solution plans and provide guidance on AWS architectural best practices
2. Design and deploy scalable, highly available, and fault tolerant systems on AWS
3. Identify the lift and shift of an existing on-premises application to AWS
4. Decipher the ingress and egress of data to and from AWS
5. Select the appropriate AWS service based on data, compute, database, or security requirements
6. Estimate AWS costs and identify cost control mechanisms
This AWS course is recommended for professionals who want to pursue a career in Cloud computing or develop Cloud applications with AWS. You’ll become an asset to any organization, helping leverage best practices around advanced cloud-based solutions and migrate existing workloads to the cloud.
Learn more at: https://www.simplilearn.com
Using AWS Control Tower to govern multi-account AWS environments at scale - G...
AWS Control Tower is a new AWS service that cloud administrators can use to set up and govern their secure, compliant, multi-account environments on AWS. In this session, we show you how Control Tower automates the creation of a secure and compliant landing zone with best-practice blueprints for a multi-account structure, identity and federated access management, a central log archive, cross-account security audits, and workflows for provisioning accounts with pre-approved configurations. We also discuss guardrails—pre-packaged governance rules created for security, operations, and compliance that you can apply enterprise-wide or to groups of accounts to enforce policies or detect violations. Finally, we show you how to easily manage and monitor all this through the Control Tower dashboard.
AWS Control Tower is a new AWS service that cloud administrators can use to set up and govern their secure, compliant, multi-account environments on AWS. In this session, we show you how Control Tower automates the creation of a secure and compliant landing zone with best-practice blueprints for a multi-account structure, identity and federated access management, a central log archive, cross-account security audits, and workflows for provisioning accounts with pre-approved configurations. We also discuss guardrails—pre-packaged governance rules created for security, operations, and compliance that you can apply enterprise-wide or to groups of accounts to enforce policies or detect violations. Finally, we show you how to easily manage and monitor all this through the Control Tower dashboard.
Amazon Elastic Compute Cloud (Amazon EC2) provides a broad selection of instance types to accommodate a diverse mix of workloads. In this technical 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 GPU instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
The document summarizes AWS Code services for automating the development lifecycle including CodeCommit for source control, CodePipeline for continuous delivery, and CodeDeploy for automated deployments. It describes how these services work together to enable microservices architectures and continuous delivery practices for deploying updates with no downtime. Examples are provided of how to set up a delivery pipeline using these AWS Code services to connect development tools and deploy changes from testing to production environments.
Cloudwatch: Monitoring your AWS services with Metrics and Alarms
Brief intro to AWS Cloudwatch. Motivation, examples and use cases. Shows how you can collect and monitors metrics for all your AWS services to better control your applications and infrastructure. #cloud-computing #aws #amazon-web-services
AWS Batch is a fully managed batch computing service that makes it easy to run batch computing workloads on AWS. It dynamically provisions compute resources and manages the execution of jobs across EC2 instances. Users submit batch jobs to a job queue, and AWS Batch schedules the jobs based on availability of resources in associated compute environments. This allows batch jobs to be run asynchronously and automatically at scale. AWS Batch handles all the complex orchestration and management required for batch computing, allowing users to focus on their applications.
by Greg McConnel, Sr. Solutions Architect, AWS
We take an in-depth look at the AWS Identity and Access Management (IAM) policy language. We start with the basics of the policy language and how to create and attach policies to IAM users, groups, and roles. As we dive deeper, we explore policy variables, conditions, and other tools to help you author least privilege policies. Throughout the session, we cover some common use cases, such as granting a user secure access to an Amazon S3 bucket and launching an Amazon EC2 instance of a specific type.
Come learn about new and existing Amazon S3 features that can help you better protect your data, save on cost, and improve usability, security, and performance. We will cover a wide variety of Amazon S3 features and go into depth on several newer features with configuration and code snippets, so you can apply the learnings on your object storage workloads.
In this article i would like to share some of the insights on AWS Auto Scaling in following perspectives:
• Need for Auto Scaling
• How AWS Auto scaling can help to handle the various load volatility scenarios
• How to configure an Auto scaling policy in AWS
• Things to remember before Scaling out and down
• Understand the intricacies while integrating Auto scaling with other Amazon Web Services
• Risks involved in AWS Auto scaling
Amazon EC2 forms the backbone compute platform for hundreds of thousands of AWS customers, but how do you go beyond starting an instance and manually configuring it? This presentation 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.
Access a recorded version of the webinar based on this presentation on YouTube here: http://youtu.be/jLVPqoV4YjU
You can find the rest of the Masterclass webinar series for 2015 here: http://aws.amazon.com/campaigns/emea/masterclass/
If you are interested in learning about how you apply variety of different AWS services to specific challenges, please check out the Journey Through the Cloud series, which you can find here: http://aws.amazon.com/campaigns/emea/journey/
The document discusses network design and capabilities for Amazon VPC. It provides an overview of VPC functionality including creating an internet-connected VPC with subnets in different Availability Zones and assigning IP address ranges and routing. It also covers security groups, connecting VPCs through peering or to on-premises networks using VPN or AWS Direct Connect, and restricting internet access through routing or NAT gateways.
Identity and Access Management: The First Step in AWS SecurityAmazon Web Services
by Fritz Kunstler, Sr. Security Consultant, AWS
AWS Identity and Access Management (IAM) is first in the Security Perspective of the AWS Cloud Adoption Framework CAF because in the cloud, first you grant access and only then can you provision infrastructure (the opposite approach of on-premises). In this session, you will learn how to define fine-grained access to AWS resources via users, roles, and groups; design privileged user and multifactor authentication mechanisms; and operate IAM at scale.
This document discusses how AWS Control Tower can be used to govern multi-account AWS environments at scale. It provides an overview of AWS Control Tower's key capabilities including automated setup of a landing zone with best practice blueprints and guardrails, account factory for provisioning accounts, centralized identity and access management, and built-in monitoring and notifications. Examples are also given of how AWS Control Tower can be used to implement common multi-account architectures and operational models.
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.
AWS Elastic Beanstalk is a service that allows developers to quickly deploy and manage applications in the AWS cloud without worrying about the underlying infrastructure. It provides an easy way to launch applications developed in Java or other languages and have them automatically scaled across Amazon EC2 instances. Key features include automated provisioning and deployment, easy management of settings, built-in monitoring, and troubleshooting tools. Developers retain full control over their AWS resources while taking advantage of Elastic Beanstalk's management capabilities.
AWS Control Tower is a new AWS service for cloud administrators to set up and govern their secure, compliant, multi-account environments on AWS.
In this session, University of York will discuss their implementation of AWS Landing Zone. We’ll also explain how AWS Control Tower automates AWS Landing Zone creation with best-practice blueprints.
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 features, and the concept of instance generations.
This document outlines an agenda for an AWS Cost Management workshop. The agenda includes introductions and sessions on AWS Cost Explorer, AWS Budgets, AWS Reservations, and AWS Cost & Usage Reports. It provides overviews of AWS cost management products and highlights recent features including budget redesigns, forecasting enhancements, and reserved instance management updates.
An Introduction to the AWS Well Architected Framework - WebinarAmazon Web Services
This document provides an introduction to the AWS Well-Architected Framework, which consists of five pillars - security, reliability, performance efficiency, cost optimization, and operational excellence. It discusses the recent addition of the operational excellence pillar and updates to the reliability pillar. It also covers new architecture type overlays and available resources like whitepapers, online training, and reference architectures. The session is intended for architects, developers, managers, and IT professionals interested in cloud architecture best practices.
In this session we’ll take a high-level overview of AWS Lambda, a serverless compute platform that has changed the way that developers around the world build applications. We’ll explore how Lambda works under the hood, the capabilities it has, and how it is used. By the end of this talk you’ll know how to create Lambda based applications and deploy and manage them easily.
Speaker: Chris Munns - Principal Developer Advocate, AWS Serverless Applications, AWS
AWS Training For Beginners | AWS Certified Solutions Architect Tutorial | AWS...Simplilearn
This AWS training for beginners presentation will help you understand what is AWS (Amazon Web Services), how did AWS become so successful, the services that AWS provides (AWS EC2, Amazon Elastic Beanstalk, Amazon Lightsail, Amazon Lambda, Amazon S3, Amazon Glacier, Amazon EBS, Amazon Elastic File System, Amazon RDS, Amazon Redshift), the future of AWS and a demonstration on deploying a web application in AWS. Amazon Web services (AWS) provide a lot of benefits to a business organization. These benefits allow you to maximize your productivity and enhance efficiency. This AWS tutorial video is ideal for those who aspire to become AWS Certified Solution Architect. Now, let us deep dive into the video to understand what AWS actually is and what are the services that AWS provides to an organization.
The below topics are covered in this AWS presentation:
1. What is AWS?
2. How did AWS become so successful?
3. The services AWS provides
4. The future of AWS
5. Use case - Deploying a web application
This AWS certification training is designed to help you gain the in-depth understanding of Amazon Web Services (AWS) architectural principles and services. You will learn how cloud computing is redefining the rules of IT architecture and how to design, plan, and scale AWS Cloud implementations with best practices recommended by Amazon. The AWS Cloud platform powers hundreds of thousands of businesses in 190 countries, and AWS certified solution architects take home about $126,000 per year.
This AWS certification course will help you learn the key concepts, latest trends, and best practices for working with the AWS architecture – and become industry-ready AWS certified solutions architect to help you qualify for a position as a high-quality AWS professional.
The course begins with an overview of the AWS platform before diving into its individual elements: IAM, VPC, EC2, EBS, ELB, CDN, S3, EIP, KMS, Route 53, RDS, Glacier, Snowball, Cloudfront, Dynamo DB, Redshift, Auto Scaling, Cloudwatch, Elastic Cache, CloudTrail, and Security. Those who complete the course will be able to:
1. Formulate solution plans and provide guidance on AWS architectural best practices
2. Design and deploy scalable, highly available, and fault tolerant systems on AWS
3. Identify the lift and shift of an existing on-premises application to AWS
4. Decipher the ingress and egress of data to and from AWS
5. Select the appropriate AWS service based on data, compute, database, or security requirements
6. Estimate AWS costs and identify cost control mechanisms
This AWS course is recommended for professionals who want to pursue a career in Cloud computing or develop Cloud applications with AWS. You’ll become an asset to any organization, helping leverage best practices around advanced cloud-based solutions and migrate existing workloads to the cloud.
Learn more at: https://www.simplilearn.com
Using AWS Control Tower to govern multi-account AWS environments at scale - G...Amazon Web Services
AWS Control Tower is a new AWS service that cloud administrators can use to set up and govern their secure, compliant, multi-account environments on AWS. In this session, we show you how Control Tower automates the creation of a secure and compliant landing zone with best-practice blueprints for a multi-account structure, identity and federated access management, a central log archive, cross-account security audits, and workflows for provisioning accounts with pre-approved configurations. We also discuss guardrails—pre-packaged governance rules created for security, operations, and compliance that you can apply enterprise-wide or to groups of accounts to enforce policies or detect violations. Finally, we show you how to easily manage and monitor all this through the Control Tower dashboard.
AWS Control Tower is a new AWS service that cloud administrators can use to set up and govern their secure, compliant, multi-account environments on AWS. In this session, we show you how Control Tower automates the creation of a secure and compliant landing zone with best-practice blueprints for a multi-account structure, identity and federated access management, a central log archive, cross-account security audits, and workflows for provisioning accounts with pre-approved configurations. We also discuss guardrails—pre-packaged governance rules created for security, operations, and compliance that you can apply enterprise-wide or to groups of accounts to enforce policies or detect violations. Finally, we show you how to easily manage and monitor all this through the Control Tower dashboard.
Amazon Elastic Compute Cloud (Amazon EC2) provides a broad selection of instance types to accommodate a diverse mix of workloads. In this technical 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 GPU instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
AWS CodeCommit, CodeDeploy & CodePipelineJulien SIMON
The document summarizes AWS Code services for automating the development lifecycle including CodeCommit for source control, CodePipeline for continuous delivery, and CodeDeploy for automated deployments. It describes how these services work together to enable microservices architectures and continuous delivery practices for deploying updates with no downtime. Examples are provided of how to set up a delivery pipeline using these AWS Code services to connect development tools and deploy changes from testing to production environments.
Cloudwatch: Monitoring your AWS services with Metrics and AlarmsFelipe
Brief intro to AWS Cloudwatch. Motivation, examples and use cases. Shows how you can collect and monitors metrics for all your AWS services to better control your applications and infrastructure. #cloud-computing #aws #amazon-web-services
AWS Batch is a fully managed batch computing service that makes it easy to run batch computing workloads on AWS. It dynamically provisions compute resources and manages the execution of jobs across EC2 instances. Users submit batch jobs to a job queue, and AWS Batch schedules the jobs based on availability of resources in associated compute environments. This allows batch jobs to be run asynchronously and automatically at scale. AWS Batch handles all the complex orchestration and management required for batch computing, allowing users to focus on their applications.
by Greg McConnel, Sr. Solutions Architect, AWS
We take an in-depth look at the AWS Identity and Access Management (IAM) policy language. We start with the basics of the policy language and how to create and attach policies to IAM users, groups, and roles. As we dive deeper, we explore policy variables, conditions, and other tools to help you author least privilege policies. Throughout the session, we cover some common use cases, such as granting a user secure access to an Amazon S3 bucket and launching an Amazon EC2 instance of a specific type.
Come learn about new and existing Amazon S3 features that can help you better protect your data, save on cost, and improve usability, security, and performance. We will cover a wide variety of Amazon S3 features and go into depth on several newer features with configuration and code snippets, so you can apply the learnings on your object storage workloads.
Auto scaling using Amazon Web Services ( AWS )Harish Ganesan
In this article i would like to share some of the insights on AWS Auto Scaling in following perspectives:
• Need for Auto Scaling
• How AWS Auto scaling can help to handle the various load volatility scenarios
• How to configure an Auto scaling policy in AWS
• Things to remember before Scaling out and down
• Understand the intricacies while integrating Auto scaling with other Amazon Web Services
• Risks involved in AWS Auto scaling
AWS re:Invent 2016: Auto Scaling – the Fleet Management Solution for Planet E...Amazon Web Services
Scaling allows cloud resources to scale automatically in reaction to the dynamic needs of customers. This session will show how Auto Scaling offers an advantage to everyone – whether it’s basic fleet management to keep instances healthy as an EC2 best practice, or dynamic scaling to manage “extremes”. We’ll share examples of how Auto Scaling is helping customers of all sizes and industries unlock use cases and value. We’ll also discuss how Auto Scaling is evolving to scaling different types of elastic AWS resources beyond EC2 instances. NASA Jet Propulsion Laboratory (JPL) / California Institute of Technology will share how Auto Scaling is used to scale science data processing of Interferometric Synthetic Aperture Radar (InSAR) data from earth-observing satellite missions, and reduce response times during hazard response events such as those from earthquakes, floods, and volcanoes. JPL will also discuss how they are integrating their science data systems with the AWS ecosystem to expand into NASA’s next two large-scale missions with remote-sensing radar-based observations. Learn how Auto Scaling is being used at a global scale – and beyond!
Understand use cases for Auto Scaling
Understand benefits and drawbacks of Auto Scaling
Determine if and where Auto Scaling a fit for existing Infrastructure
Implement Auto Scaling!
The document discusses auto-scaling on AWS. It provides an overview of auto-scaling concepts like maintaining constant temperature (thermostat), capacity, problems with traditional scaling approaches, and the need for auto-scaling to address capacity and waste. It then covers specific AWS auto-scaling services like Elastic Load Balancing (ELB), CloudWatch for metrics and alarms, Auto Scaling Groups, Launch Configurations, and the AWS CLI commands for managing auto-scaling.
In a traditional server space hosting any application, the volume of data traffic always varies in strength, sometimes in a predictable manner, and sometimes erratically. To deal with the increased traffic, the developer would either add machines or increase the compute capability of the existent machines. This is essentially what scaling means in a physical server space.
This document contains three lessons:
1. The first lesson discusses relative clauses, which provide additional information about something in a sentence. They can be essential or non-essential information.
2. The second lesson covers auxiliary verbs like "can", "could", "must", and "may" and their uses for ability, permission, requests, and possibility.
3. The third lesson explains the future form "going to", which is used to talk about plans and predictions based on present evidence, such as "I'm going to see him later today" or "It's going to rain soon."
Deutsche Bank AG is a German banking and financial services company. The document discusses Deutsche Bank's stock price evolution from 2012 to 2014, including its performance on the stock market in 2013. It provides figures showing the company's dividend per share and dividend yield from 2012 to 2014, as well as its EV/EBITDA ratio from 2012 to 2013.
Practical insights in implementing lean principles Lean India Summit 2014Lean India Summit
The document describes how lean principles were used to improve a test maintenance program. Key lean principles implemented included value stream mapping, takt time, work load leveling, SMED (single minute exchange of die), 5S (sort, set in order, shine, standardize, sustain), and visual controls. This led to a 262% improvement in productivity, reduced setup time from 65 to 15 hours, more effective hardware utilization, capacity for new testing, and happier employees.
Rpl biodiversity report new word version 2015Ashlee Savage
The document is Ricoh UK Products Ltd's 2014 biodiversity report. It provides background on Ricoh's biodiversity policy and initiatives at its Telford site. The report identifies areas of biodiversity value on the site, including black poplar trees, old hedgerows, and young woodland. It outlines actions to protect these areas, such as monitoring tree health, planting additional trees and flowers, and thinning woodland. The report also discusses benefits to Ricoh such as reduced costs, skills development for employees, and demonstrating social responsibility to customers.
Este documento contiene ejercicios de recuperación de matemáticas para 3o de ESO correspondientes al curso 2011-2012. Los ejercicios cubren seis unidades académicas: sucesiones y progresiones, funciones, funciones lineales y cuadráticas, tablas y gráficos estadísticos, parámetros estadísticos, y sucesos aleatorios y probabilidad.
The Longest Day Event 2015 - Alzheimer’s AssociationScott Robarge
Scott Robarge founded a recruiting firm in 2010 called Another8 that finds talent for startups. He also contributes to the Alzheimer's Association, which will hold its annual The Longest Day event on June 21st to raise money for Alzheimer's research. Participating teams will do fundraising activities from sunrise to sunset and are asked to raise a minimum of $1,600; past activities have included cycling, bowling, and art shows tailored to interests of those with Alzheimer's.
In this workshop we will discuss the use of technology in the work of the humanities, also known as Digital Humanities (DH). We will discuss how faculty can us DH to archive historical documents, as well as how DH might be used to motivate students with different learning styles. For technologists, you will learn the tools many people are using to implement DH projects, and how you can help faculty think about historical data in the context of a DH project.
Go Solar and Drive Electric. Save money and increase the value of your home. Going solar is easy. Sign up for a free quote and find out why: It Pays to be Positive!
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The document discusses the San Francisco Walk to End Alzheimer's event that will take place on September 20, 2014. The Alzheimer's Association advocates for Alzheimer's research and supports those with the disease. They host an annual Walk to End Alzheimer's in over 650 locations to raise funds and awareness for research and patient support programs. Scott Robarge, an entrepreneur involved with charitable organizations like the Alzheimer's Association, will participate in the upcoming San Francisco walk.
El documento presenta un resumen sobre mapas conceptuales realizado por Abigail Vazquez Cabrera para su clase de TIC's el 4 de diciembre de 2013. El resumen incluye la información de Abigail como autora, la materia y maestra a la que fue asignado, así como la fecha en la que fue elaborado.
This document provides an overview of auto scaling on AWS. It discusses why auto scaling is needed to dynamically scale capacity based on demand fluctuations. It covers auto scaling concepts like launch configurations, scaling policies, and auto scaling groups. It also discusses how auto scaling provides elasticity, availability, reliability through mechanisms like health checks and replacing unhealthy instances. The document demonstrates how auto scaling can be integrated with other AWS services like Elastic Load Balancing, CloudWatch for metrics-based scaling policies, and lifecycle hooks.
Using AWS CloudWatch Custom Metrics and EC2 Auto Scaling -VSocial InfrastructureChristopher Drumgoole
I gave a presentation at the AWS User Group, Singapore on 24 Oct 2013 explaining how we used EC2 Auto Scaling with CloudWatch Custom Metrics for our product.
Top 5 Ways to Optimize for Cost Efficiency with the CloudAmazon Web Services
The document provides tips and strategies for optimizing costs when using cloud computing services like AWS. It discusses turning off unused instances, using auto scaling to align resources with demand, taking advantage of reserved instances for discounts, leveraging spot instances for significant savings, using different Amazon S3 storage classes, optimizing DynamoDB capacity units, buffering requests with SQS, and offloading architecture to services like CloudFront and ElastiCache. It also shares examples and case studies from customers like Pfizer, Zumba, and Airbnb that achieved cost savings through these approaches.
오토스케일링(Auto-scaling)은 AWS 클라우드를 통해 고확장성 서비스와 아키텍처를 구성하는 데 필요한 가장 중요한 요소 중 하나입니다. 이 강연에서는 효과적인 클라우드 인프라 구축을 위해 오토 스케일링을 활용하는 다양한 방법에 대해 자세히 소개해 드립니다.
오토 스케일링 그룹의 구성과 확장 계획에 따른 설정 방법, 오토 스케일링 라이프 사이클과 CloudWatch 및 알림을 이용한 관리 방법, 각종 오토스케일링 모범사례 등을 알아보실 수 있습니다.
Weaveworks at AWS re:Invent 2016: Operations Management with Amazon ECSWeaveworks
Alfonso described how Weave open source projects (Weave Net and Weave Scope) can help with networking, visualization, and control for ECS. Specifically, Weave acts as a key communicator for networking containers with its multi-host overlay and additional features (including automatic DNS service discovery and multicast).
Amazon EC2 forms the backbone compute platform for hundreds of thousands of AWS customers, but how do you go beyond starting an instance and manually configuring it? In this webinar 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.
Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...Amazon Web Services
Disaster Recovery Site on AWS: Minimal Cost Maximum Efficiency discusses setting up disaster recovery sites on AWS for minimal cost and maximum efficiency. Common disaster recovery architectures on AWS include pilot light, where a scaled-down copy of production resources is kept running, and backup and restore, where backups are taken and restored in an outage. Customer case studies demonstrate cost savings of up to 70% for disaster recovery sites on AWS compared to on-premises solutions.
Day 3 - Maintaining Performance & Availability While Lowering Costs with AWSAmazon Web Services
AWS provides you several pricing options that can help you significantly reduce your overall IT cost, including On-Demand Instances, Spot Instances, and Reserved Instances. This session covers high-level architectures and when to use and not to use each of the pricing models for components of those architectures. We walk through several customer examples to illustrate when to use each pricing option. Additionally, we walk through tools that may be useful to determine when to use each pricing model. This session is aimed at technically savvy managers and engineers who need to reduce their cloud spending.
Reasons to attend:
- Learn about Reserved Instances, On-Demand Instances and Spot Instances.
- Discover ways of running more for less in Amazon EC2.
- If you are already running a workload in AWS, attend this webinar to learn how to run the same workload at reduced costs.
The document discusses Amazon Web Services (AWS) and provides information about AWS regions and availability zones, Elastic Compute Cloud (EC2) instances, Elastic Block Storage (EBS), security groups, Elastic Load Balancing (ELB), and using CloudFormation to define AWS resources like EC2 instances, security groups, and ELBs. It includes pricing information for different types of EC2 instances and reserved capacity options.
AWS CloudFormation enables software and DevOps engineers to harness the power of infrastructure as code. As organizations automate the modeling and provisioning of applications and workloads with CloudFormation, repeatable processes and reliable deployments become more critical. This session guides you through techniques to improve your infrastructure automation including protecting your AWS resources and stacks with safety guardrails while monitoring infrastructure changes. In addition, we'll cover efficient ways to provision resources across accounts and regions, and show you how to test and improve the reliability of your deployments.
Running and managing large scale applications with microservices architectures is difficult and often requires operating complex container management infrastructure. Amazon EC2 Container Service (ECS) is a highly scalable, high performance service for running and managing Docker applications. In this webinar, we will walk through a number of patterns and tools used by our customers to run their applications on Amazon ECS. We will show you how to set up, manage and scale your Amazon ECS resources, keep them secure and deploy your applications to an Amazon ECS cluster. We will also provide best practices for monitoring, logging and service discovery.
Learning Objectives:
• Learn how to set up and manage Amazon ECS for production applications
• Learn how to schedule containers on production clusters using Amazon ECS
Who Should Attend:
•Developers, DevOps, Sys Admin
Whether you’re a cash-strapped startup or an enterprise trying to optimizing spend, it pays to run cost-efficient architectures on AWS. Come learn about cost planning, monitoring, and optimization strategies, featuring real AWS customer use cases.
Scaling drupal horizontally and in cloudVladimir Ilic
Vancouver Drupal group presentation for April 25, 2013.
How to deploy Drupal on
- multiple web servers,
- multiple web and database servers, and
- how to join all that together and make site deployed on Amazon Cloud (Virtual Private Cloud) inside
- one availability zone
- multiple availability zones deployment.
Session cover details about what you need in order to get Drupal deployed on separate servers, what are issues/concerns, and how to solve them.
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Amazon EC2 forms the backbone compute platform for hundreds of thousands of AWS customers, but how do you go beyond starting an instance and manually configuring it? This webinar takes you on a journey starting with the basics of key creation and security groups and ending with an Auto Scaling application driven by dynamic policies. It will explain the tools you need to create an Auto Scaling configuration and show you how to bootstrap an instance.
Reasons to attend:
- Understand how to use Amazon EC2 beyond a simple single instance use case including bootstrap & AMIs.
- Learn how to create Auto Scaling configurations and the tools you need to drive Auto Scaling policies.
- Learn how to use Amazon CloudWatch alarms to trigger actions with Auto Scaling.
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1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes.
2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions.
3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines.
4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors.
5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering.
6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands.
7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems.
8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering.
9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively.
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Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - MydbopsMydbops
This presentation, delivered at the Postgres Bangalore (PGBLR) Meetup-2 on June 29th, 2024, dives deep into connection pooling for PostgreSQL databases. Aakash M, a PostgreSQL Tech Lead at Mydbops, explores the challenges of managing numerous connections and explains how connection pooling optimizes performance and resource utilization.
Key Takeaways:
* Understand why connection pooling is essential for high-traffic applications
* Explore various connection poolers available for PostgreSQL, including pgbouncer
* Learn the configuration options and functionalities of pgbouncer
* Discover best practices for monitoring and troubleshooting connection pooling setups
* Gain insights into real-world use cases and considerations for production environments
This presentation is ideal for:
* Database administrators (DBAs)
* Developers working with PostgreSQL
* DevOps engineers
* Anyone interested in optimizing PostgreSQL performance
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Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models" arXiv2023
https://arxiv.org/abs/2307.12980
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The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.
Choose our Linux Web Hosting for a seamless and successful online presencerajancomputerfbd
Our Linux Web Hosting plans offer unbeatable performance, security, and scalability, ensuring your website runs smoothly and efficiently.
Visit- https://onliveserver.com/linux-web-hosting/
Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.
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Auto Scaling on AWS
1. Auto Scaling on AWS
Matthew Swain
Software Engineer @ MassRelevance
2. What is AWS Auto Scaling?
Auto Scaling is Amazon’s hosted service for
automatically launching and terminating EC2
instances.
3. Why Use Auto Scaling
•
Save money by only using instances when you
need them.
•
Scale to accommodate expected and
unexpected loads.
•
Replace unhealthy servers with healthy ones.
4. What Makes Up Auto Scaling
•
Launch Configurations
•
Auto Scaling Groups
•
Scaling Policies
•
Cloud Watch Alarms
5. Launch Configurations
Templates that describe the parameters passed at
launch-time to your EC2 instances.
Examples: AMI, instance type (c1.xlarge, m1.small,
…), security groups, spot price
7. Scaling Policies
A template describing actions to run against an
Auto Scaling Group.
E.g. Start two instances in the ASG named
“webservers”
8. Cloud Watch Alarms
Triggers that can run Scaling Policies based on
Cloud Watch metrics (AWS’s built in monitoring
suite).
E.g. Run Scaling Policy “Launch Webservers”
when CPU exceeds a certain threshold for 5
minutes.
9. A Simple Web Application in Five
Steps
•
Create an AMI
•
Setup an Elastic Load Balancer (ELB)
•
Create a Launch Configuration
•
Create Scaling Policies
•
Create Cloud Watch Alarms
What is AWS Auto Scaling? Put simply, Auto Scaling is Amazon’s hosted service for automatically launching and terminating EC2 instances.
It’s really useful because it allows you to save money by only using AWS resources when you need them. For example, you can use it to help you accommodate peak loads without setting up huge amounts static infrastructure that runs all the time.
So what makes up Amazon’s Auto Scaling service? It’s actually comprised of different components that work in concert to allow you to automatically adjust your environment to meet your needs. The four basic components are: Launch Configurations, Auto Scaling Groups, Scaling Policies, and Cloud Watch Alarms. There are a few more pieces I’m glossing over, but these are the fundamental building blocks.
The first component, “Launch Configurations” are templates that define the parameters passed to your EC2 instances at launch time. For example, your launch configurations will define what size instance to run, which security group they will run in, etc. You can even specify things like “spot price” if you want to take advantage of Amazon’s spot instance pricing.
The next component is the “Autoscaling Group” An Auto Scaling Group is a collection of EC2 instances that run a launch configuration.
The third basic component is the “Scaling Policy.” Scaling policies are declarative templates that define an action to take on your autoscaling group. For example, “start two instances in the ASG named “webservers”
The last basic component is the “Cloud Watch Alarm”. These are triggers that execute scaling polices based on metrics measured in Amazon’s CloudWatch monitoring service.
So how do these components work together? To illustrate this, I’ll walk through a simple example. I’ll set up a very basic Auto Scaling service in five steps. In this example, my goal is to set up an environment that will launch and terminate servers based on CPU Utilization across my cluster.
To run through this example, I’ll assume the following things have already been done. First we have an AWS account :) In it, I’ll assume I’m already running a web application on an EBS backed instance. And finally I’ll assume we’re going to use the new unified AWS command line tool.
If you haven’t checked out the new AWS command line tool, it’s really nice. It even ships with an excellent set of autocomplete scripts. So entering commands really isn’t that painful. Everything is a Tab key press away. But I digress…
So for the first step, I’ll create an AMI of my instance. Here the instance id of my existing server is i-12345678. Hopefully it’s a web service that has a nice health check for a load balancer to detect when it’s down, and hopefully the web service on it can stop and start gracefully. Once I run this command, it will output an AMI ID we’ll use in later steps.
The next step is to create a load balancer that will route requests to my web server. This command will create an empty load balancer that forwards HTTP requests on port 80 to, similarly, port 80 on the instances that are attached to it.
Next, we’ll create a launch configuration. This Launch Configuration will start servers using the AMI we defined in step one. I’m also describing the standard AWS parameters such as “instance type,” “key-pair,” and “security-groups” that you need when starting any EC2 instance.
Once I have my Launch Configuration setup, I can create my Auto Scaling Group. Here I’m defining important parameters such as the minimum number of instances to run in the group, as well as the maximum number of instances allowed. I’m also setting up this group to attach instances to the ELB I created in step 2. Some other parameters of note: default-cooldown will set a default number of seconds that an autoscaling group will prevent actions from occurring against it. Specifically this means that if a policy executed against this group, it will wait 120 seconds before allowing another policy to run against it. The “—health-check-type” parameter indicates how Amazon will determine if a node in this group has failed. This can be one of two values, ELB or EC2. Here I’m setting it to “EC2” which is a basic ping check Amazon internally runs. If a node fails this check, the Auto Scaling group will kill the instance and replace it with another one.
Next, we’ll create 2 polices. This one increases the number of instances in your ASG by one. Note that we can override the cooldown we specified on the Auto Scaling Group. This way different scaling policies can prevent actions from occurring against the group for different amounts of time. Once we run this command it will output a huge ARN, which is an internal identifier that describes this policy. We’ll use this ARN later to hook up to our cloud watch alarms.
Similarly, this policy says “change the capacity of the ASG by negative one.” Or, more simply, terminate one instance. Again, this will spit out an ARN we will use later.
The last thing we’ll do is create 2 cloud watch alarms. This one will trigger the scale up policy when the Average CPU utilization across the entire ASG goes above 60% for 5 minutes. Note the —alarm-action parameter. This is the giant ARN that was spit out when we created the scale up policy.
Similarly, this is the alarm that will trigger the scale-down policy. It basically says, run the scale down policy when the average cpu utilization across all the instances in the ASG is less than or equal to 20%
And bam. That’s all there is to it. Now we have an autoscaling group that will dynamically launch and terminate instances based on CPU load. While the other ASG tools don’t have a GUI representation, you can actually log into the AWS console and look at graphs corresponding to your Cloud Watch alarms. This is an example from our production cluster at Mass Relevance. Here you can see red lines that correspond to where the triggers are set. When an alarm triggers, it’s entire graph turns red indicating that it is firing. In this state, it is executing any autoscaling policies associated with it.
Here’s another example of our production cluster’s cloud watch console. This was a special event that occurred on October 29th. Our auto scaling configuration handled this perfectly, meaning we didn’t have to actually do anything to handle this increase in load. Autoscale added and removed the instances as needed so we could sleep at night without too much worry.
So now I’ll talk about some advanced uses. At MR we don’t rely on pre-built AMI’s. Instead, all of our instances are built using chef. Luckily AWS gives you the tools to do this, too. In our environment, we use a combination of IAM roles, S3, and user-data scripts to hook up our instances to our Chef server. Specifically, we have an IAM role that allows instances to access a private S3 bucket that host scripts and packages that setup our chef client. User Data scripts are small shell scripts that EC2 instances will execute on boot time. So in our case, we pass a User Data script to our Launch Configuration. This script will leverage the IAM role to download our chef client from S3, set it up, and kick it off.
This is an example of the User Data Script we use to do this. All in all it’s been a very effective setup that has allowed us to scale for all sorts of events. For example, at the grammy’s we were pushing a peak loads of 80k requests per second. At the time we were running close to 200 web servers, worker servers, and caching servers to handle the load. All of these were launched and managed with autoscale, albeit with lots of pre-warming. After the event was over, we scaled back down to around something like 10 servers… which is our typical baseline.
So that about wraps it up. Are there any questions?