Some of the technical benefits of cloud computing includes:
Automation – “Scriptable infrastructure”: You can create repeatable build and deployment systems by leveraging
programmable (API-driven) infrastructure.
Auto-scaling: You can scale your applications up and down to match your unexpected demand without any human
intervention. Auto-scaling encourages automation and drives more efficiency.
Proactive Scaling: Scale your application up and down to meet your anticipated demand with proper planning
understanding of your traffic patterns so that you keep your costs low while scaling.
More Efficient Development lifecycle: Production systems may be easily cloned for use as development and test environments. Staging environments may be easily promoted to production. Improved Testability: Never run out of hardware for testing. Inject and automate testing at every stage during the development process. You can spawn up an “instant test lab” with pre-configured environments only for the duration of testing phase. Disaster Recovery and Business Continuity: The cloud provides a lower cost option for maintaining a fleet of DR servers and data storage. With the cloud, you can take advantage of geo-distribution and replicate the environment in other location within minutes. “Overflow” the traffic to the cloud: With a few clicks and effective load balancing tactics, you can create a complete overflow-proof application by routing excess traffic to the cloud. Understanding the Amazon Web Services Cloud The Amazon Web Services (AWS) cloud provides a highly reliable and scalable infrastructure for deploying web-scale solutions, with minimal support and administration costs, and more flexibility than you’ve come to expect from your own infrastructure, either on-premise or at a datacenter facility.
AWS offers variety of infrastructure services today. The diagram below will introduce you the AWS terminology and help you understand how your application can interact with different Amazon Web Services and how different services interact with each other. Amazon Elastic Compute Cloud (Amazon EC2)1 is a web service that provides resizable compute capacity in the cloud. You can bundle the operating system, application software and associated configuration settings into an Amazon Machine Image (AMI). You can then use these AMIs to provision multiple virtualized instances as well as decommission them using simple web service calls to scale capacity up and down quickly, as your capacity requirement changes. You can purchase On-Demand Instances in which you pay for the instances by the hour or Reserved Instances in which you pay a low, one-time payment and receive a lower usage rate to run the instance than with an On-Demand Instance or Spot Instances where you can bid for unused capacity and further reduce your cost. Instances can be launched in one or more geographical regions. Each region has multiple Availability Zones. Availability Zones are distinct locations that are engineered to be insulated from failures in other Availability Zones and provide inexpensive, low latency network connectivity to other Availability Zones in the same Region aws architect jobs.
1 More info about Amazon EC2 is available at http://aws.amazon.com/ec2 Amazon Web Services - Architecting for The Cloud: Best Practices January 2011 Page 4 of 23 Figure 1: Amazon Web Services Elastic IP addresses allow you to allocate a static IP address and programmatically assign it to an instance. You can enable monitoring on an Amazon EC2 instance using Amazon CloudWatch2 in order to gain visibility into resource utilization, operational performance, and overall demand patterns (including metrics such as CPU utilization, disk reads and writes, and network traffic). You can create Auto-scaling Group using the Auto-scaling feature3 to automatically scale your capacity on certain conditions based on metric that Amazon CloudWatch collects. You can also distribute incoming traffic by creating an elastic load balancer using the Elastic Load Balancing4 service. Amazon Elastic Block Storage (EBS)5 volumes provide network-attached persistent storage to Amazon EC2 instances. Point-in-time consistent snapshots of EBS volumes can be created and stored on Amazon Simple Storage Service (Amazon S3)6 . Amazon S3 is highly durable and distributed data store. With a simple web services interface, you can store and retrieve large amounts of data as objects in buckets (containers) at any time, from anywhere on the web using standard HTTP verbs. Copies of objects can be distributed and cached at 14 edge locations around the world by creating a distribution using Amazon CloudFront7 service – a web service for content delivery (static or streaming content). Amazon SimpleDB8 is a web service that provides the core functionality of a database- real-time lookup and simple querying of structured data - without the operational complexity. You can organize the dataset into domains and can run queries across all of the data stored in a particular domain. Domains are collections of items that are described by attribute-value pairs.
More Efficient Development lifecycle: Production systems may be easily cloned for use as development and test environments. Staging environments may be easily promoted to production. Improved Testability: Never run out of hardware for testing. Inject and automate testing at every stage during the development process. You can spawn up an “instant test lab” with pre-configured environments only for the duration of testing phase. Disaster Recovery and Business Continuity: The cloud provides a lower cost option for maintaining a fleet of DR servers and data storage. With the cloud, you can take advantage of geo-distribution and replicate the environment in other location within minutes. “Overflow” the traffic to the cloud: With a few clicks and effective load balancing tactics, you can create a complete overflow-proof application by routing excess traffic to the cloud. Understanding the Amazon Web Services Cloud The Amazon Web Services (AWS) cloud provides a highly reliable and scalable infrastructure for deploying web-scale solutions, with minimal support and administration costs, and more flexibility than you’ve come to expect from your own infrastructure, either on-premise or at a datacenter facility.
AWS offers variety of infrastructure services today. The diagram below will introduce you the AWS terminology and help you understand how your application can interact with different Amazon Web Services and how different services interact with each other. Amazon Elastic Compute Cloud (Amazon EC2)1 is a web service that provides resizable compute capacity in the cloud. You can bundle the operating system, application software and associated configuration settings into an Amazon Machine Image (AMI). You can then use these AMIs to provision multiple virtualized instances as well as decommission them using simple web service calls to scale capacity up and down quickly, as your capacity requirement changes. You can purchase On-Demand Instances in which you pay for the instances by the hour or Reserved Instances in which you pay a low, one-time payment and receive a lower usage rate to run the instance than with an On-Demand Instance or Spot Instances where you can bid for unused capacity and further reduce your cost. Instances can be launched in one or more geographical regions. Each region has multiple Availability Zones. Availability Zones are distinct locations that are engineered to be insulated from failures in other Availability Zones and provide inexpensive, low latency network connectivity to other Availability Zones in the same Region aws architect jobs.
1 More info about Amazon EC2 is available at http://aws.amazon.com/ec2 Amazon Web Services - Architecting for The Cloud: Best Practices January 2011 Page 4 of 23 Figure 1: Amazon Web Services Elastic IP addresses allow you to allocate a static IP address and programmatically assign it to an instance. You can enable monitoring on an Amazon EC2 instance using Amazon CloudWatch2 in order to gain visibility into resource utilization, operational performance, and overall demand patterns (including metrics such as CPU utilization, disk reads and writes, and network traffic). You can create Auto-scaling Group using the Auto-scaling feature3 to automatically scale your capacity on certain conditions based on metric that Amazon CloudWatch collects. You can also distribute incoming traffic by creating an elastic load balancer using the Elastic Load Balancing4 service. Amazon Elastic Block Storage (EBS)5 volumes provide network-attached persistent storage to Amazon EC2 instances. Point-in-time consistent snapshots of EBS volumes can be created and stored on Amazon Simple Storage Service (Amazon S3)6 . Amazon S3 is highly durable and distributed data store. With a simple web services interface, you can store and retrieve large amounts of data as objects in buckets (containers) at any time, from anywhere on the web using standard HTTP verbs. Copies of objects can be distributed and cached at 14 edge locations around the world by creating a distribution using Amazon CloudFront7 service – a web service for content delivery (static or streaming content). Amazon SimpleDB8 is a web service that provides the core functionality of a database- real-time lookup and simple querying of structured data - without the operational complexity. You can organize the dataset into domains and can run queries across all of the data stored in a particular domain. Domains are collections of items that are described by attribute-value pairs.
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