Amazon Elastic Compute Cloud (Amazon EC2)
Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers and system administrators.
Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment. Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change. Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use. Amazon EC2 provides developers and system administrators the tools to build failure resilient applications and isolate themselves from common failure scenarios.
Auto Scaling allows you to scale your Amazon EC2 capacity up or down automatically according to conditions you define. With Auto Scaling, you can ensure that the number of Amazon EC2 instances you’re using increases seamlessly during demand spikes to maintain performance, and decreases automatically during demand lulls to minimize costs. Auto Scaling is particularly well suited for applications that experience hourly, daily, or weekly variability in usage. Auto Scaling is enabled by Amazon CloudWatch and available at no additional charge beyond Amazon CloudWatch fees.
Elastic Load Balancing
Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances. It enables you to achieve even greater fault tolerance in your applications, seamlessly providing the amount of load balancing capacity needed in response to incoming application traffic. Elastic Load Balancing detects unhealthy instances and automatically reroutes traffic to healthy instances until the unhealthy instances have been restored. Customers can enable Elastic Load Balancing within a single Availability Zone or across multiple zones for even more consistent application performance.
Amazon WorkSpaces is a fully managed desktop computing service in the cloud. Amazon WorkSpaces allows customers to easily provision cloud-based desktops that allow end-users to access the documents, applications and resources they need with the device of their choice, including laptops, iPad, Kindle Fire, or Android tablets. With a few clicks in the AWS Management Console, customers can provision a high-quality desktop experience for any number of users at a cost that is highly competitive with traditional desktops and half the cost of most virtual desktop infrastructure (VDI) solutions.
Amazon Virtual Private Cloud (Amazon VPC)
Amazon Virtual Private Cloud lets you provision a logically isolated section of the Amazon Web Services (AWS) Cloud where you can launch AWS resources in a virtual network that you define. You have complete control over your virtual networking environment, including selection of your own IP address range, creation of subnets, and configuration of route tables and network gateways.
You can easily customize the network configuration for your Amazon VPC. For example, you can create a public-facing subnet for your webservers that has access to the Internet, and place your backend systems such as databases or application servers in a private-facing subnet with no Internet access. You can leverage multiple layers of security (including security groups and network access control lists) to help control access to Amazon EC2 instances in each subnet.
Additionally, you can create a hardware virtual private network (VPN) connection between your corporate data center and your VPC and leverage the AWS cloud as an extension of your corporate data center.
Amazon Route 53
Amazon Route 53 is a highly available and scalable Domain Name System (DNS) web service. It is designed to give developers and businesses an extremely reliable and cost-effective way to route end users to Internet applications by translating human readable names, such as www.example.com, into the numeric IP addresses, such as 192.0.2.1, that computers use to connect to each other. Route 53 effectively connects user requests to infrastructure running in AWS, such as an EC2 instance, an elastic load balancer, or an Amazon S3 bucket. Route 53 can also be used to route users to infrastructure outside of AWS.
Amazon Route 53 is designed to be fast, easy to use, and cost effective. It answers DNS queries with low latency by using a global network of DNS servers. Queries for your domain are automatically routed to the nearest DNS server, and thus are answered with the best possible performance. With Route 53, you can create and manage your public DNS records with the AWS Management Console or with an easy-to-use API. It’s also integrated with other Amazon Web Services. For instance, by using the AWS Identity and Access Management (IAM) service with Route 53, you can control who in your organization can make changes to your DNS records. Like other Amazon Web Services, there are no long-term contracts or minimum usage requirements for using Route 53—you pay only for managing domains through the service and the number of queries that the service answers.
AWS Direct Connect
AWS Direct Connect makes it easy to establish a dedicated network connection from your premises to AWS. Using AWS Direct Connect, you can establish private connectivity between AWS and your data center, office, or co-location environment, which in many cases can reduce your network costs, increase bandwidth throughput, and provide a more consistent network experience than Internet-based connections.
AWS Direct Connect lets you establish a dedicated network connection between your network and one of the AWS Direct Connect locations. Using industry standard 802.1Q virtual LANS (VLANs), this dedicated connection can be partitioned into multiple logical connections. This allows you to use the same connection to access public resources such as objects stored in Amazon S3 using public IP address space, and private resources such as Amazon EC2 instances running within an Amazon VPC using private IP space, while maintaining network separation between the public and private environments. Logical connections can be reconfigured at any time to meet your changing needs.
Storage & Content Delivery Network
Amazon Simple Storage Service (Amazon S3)
Amazon S3 is storage for the Internet. It is designed to make web-scale computing easier for developers.
Amazon S3 provides a simple web services interface that can be used to store and retrieve any amount of data, at any time, from anywhere on the web. The container for objects stored in Amazon S3 is called an Amazon S3 bucket. Amazon S3 gives any developer access to the same highly scalable, reliable, secure, fast, inexpensive infrastructure that Amazon
uses to run its own global network of websites. The service aims to maximize benefits of scale and to pass those benefits on to developers.
Amazon Glacier is an extremely low-cost storage service that provides secure and durable storage for data archiving and backup. In order to keep costs low, Amazon Glacier is optimized for data that is infrequently accessed and for which retrieval times of several hours are suitable. With Amazon Glacier, customers can reliably store large or small amounts of data for as little as $0.01 per gigabyte per month, a significant savings compared to on-premises solutions.
Companies typically over-pay for data archiving. First, they’re forced to make an expensive upfront payment for their archiving solution (which does not include the ongoing cost for operational expenses such as power, facilities, staffing, and maintenance). Second, since companies have to guess what their capacity requirements will be, they understandably over-provision to make sure they have enough capacity for data redundancy and unexpected growth. This set of circumstances results in under-utilized capacity and wasted money. With Amazon Glacier, you pay only for what you use. Amazon Glacier changes the game for data archiving and backup because you pay nothing up front, pay a very low price for storage, and can scale your usage up or down as needed, while AWS handles all of the operational heavy lifting required to do data retention well. It only takes a few clicks in the AWS Management Console to set up Amazon Glacier, and then you can upload any amount of data you choose.
Amazon Elastic Block Storage (EBS)
Amazon Elastic Block Store (EBS) provides block level storage volumes for use with Amazon EC2 instances. Amazon EBS volumes are network-attached, and persist independently from the life of an instance. Amazon EBS provides highly available, highly reliable, predictable storage volumes that can be attached to a running Amazon EC2 instance and exposed as a device within the instance. Amazon EBS is particularly suited for applications that require a database, file system, or access to raw block level storage.
AWS Storage Gateway
AWS Storage Gateway is a service connecting an on-premises software appliance with cloud-based storage to provide seamless and secure integration between an organization’s on-premises IT environment and AWS’s storage infrastructure. The service enables you to securely upload data to the AWS cloud for cost-effective backup and rapid disaster recovery. AWS Storage Gateway supports industry-standard storage protocols that work with your existing applications. It provides low-latency performance by maintaining data on your on-premises storage hardware while asynchronously uploading this data to AWS, where it is encrypted and securely stored in Amazon Simple Storage Service (Amazon S3) or Amazon Glacier.
Using AWS Storage Gateway, you can back up point-in-time snapshots of your on-premises application data to Amazon S3 for future recovery. In the event you need replacement capacity for disaster recovery purposes, or if you want to leverage Amazon EC2’s on-demand compute capacity for additional capacity during peak periods, for new projects, or as a more cost-effective way to run your normal workloads, you can use AWS Storage Gateway to mirror your on-premises data to Amazon EC2 instances.
AWS Import/Export accelerates moving large amounts of data into and out of AWS using portable storage devices for transport. AWS transfers your data directly onto and off of storage devices using Amazon’s high-speed internal network and bypassing the Internet. For significant data sets, AWS Import/Export is often faster than Internet transfer and more cost effective than upgrading your connectivity.
AWS Import/Export supports importing and exporting data into and out of Amazon S3 buckets in the US East (N. Virginia), US West (Oregon), US West (Northern California), EU (Ireland), and Asia Pacific (Singapore) Regions. The service also supports importing data into Amazon EBS snapshots in the US East (N. Virginia), US West (Oregon), US West (Northern California), EU (Ireland), and Asia Pacific (Singapore) Regions. In addition, AWS Import/Export supports importing data into Amazon Glacier in the US East (N. Virginia), US West (Oregon), US West (Northern California), and EU (Ireland).AWS Import/Export supports importing and exporting data into and out of Amazon S3 buckets in the US Standard, US West (Oregon), US West (Northern California), EU (Ireland), and Asia Pacific (Singapore) regions. The service also supports importing data into Amazon Elastic Block Store (Amazon EBS) snapshots in the US East (N. Virginia), US West (Oregon), and US West (Northern California) regions.
Amazon CloudFront is a content delivery web service. It integrates with other Amazon Web Services to give developers and businesses an easy way to distribute content to end users with low latency, high data transfer speeds, and no commitments.
Amazon CloudFront can be used to deliver your entire website, including dynamic, static and streaming content using a global network of edge locations. Requests for objects are automatically routed to the nearest edge location, so content is delivered with the best possible performance. Amazon CloudFront is optimized to work with other Amazon Web Services, like Amazon S3 and Amazon EC2. Amazon CloudFront also works seamlessly with any origin server, which stores the original, definitive versions of your files. Like other Amazon Web Services, there are no contracts or monthly commitments for using Amazon CloudFront—you pay only for as much or as little content as you actually deliver through the service.
Amazon Relational Database Service (Amazon RDS)
Amazon Relational Database Service (Amazon RDS) is a web service that makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business.
Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle, SQL Server or PostgreSQL database. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a retention period that you define and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your relational database instance by using a single API call. In addition, Amazon RDS makes it easy to use replication to enhance availability and reliability for production databases and to scale out beyond the capacity of a single database deployment for read-heavy database workloads.
Amazon DynamoDB is a fast, fully managed NoSQL database service that makes it simple and cost-effective to store and retrieve any amount of data, and serve any level of request traffic. All data items are stored on Solid State Drives (SSDs), and are replicated across 3 Availability Zones for high availability and durability. With DynamoDB, you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use
Amazon DynamoDB is designed to address the core problems of database management, performance, scalability, and reliability. Developers can create a database table that can store and retrieve any amount of data, and serve any level of request traffic. DynamoDB automatically spreads the data and traffic for the table over a sufficient number of servers to handle the request capacity specified by the customer and the amount of data stored, while maintaining consistent, fast performance. All data items are stored on solid state drives (SSDs) and are automatically replicated across multiple Availability Zones in a Region to provide built-in high availability and data durability.
Amazon DynamoDB enables customers to offload the administrative burden of operating and scaling a highly available, distributed database cluster while only paying a low variable price for the resources they consume.
Amazon ElastiCache is a web service that makes it easy to deploy, operate, and scale an in-memory cache in the cloud. The service improves the performance of web applications by allowing you to retrieve information from a fast, managed, in-memory caching system, instead of relying entirely on slower disk-based databases. ElastiCache supports two open-source caching engines.
• Memcached – a widely adopted memory object caching system. ElastiCache is protocol compliant with Memcached, so popular tools that you use today with existing Memcached environments will work seamlessly with the service.
• Redis – a popular open-source in-memory key-value store that supports data structures such as sorted sets and lists. ElastiCache supports Redis master / slave replication which can be used to achieve cross AZ redundancy.
Amazon ElastiCache automatically detects and replaces failed nodes, reducing the overhead associated with self-managed infrastructures and provides a resilient system that mitigates the risk of overloaded databases, which slow website and application load times. Through integration with Amazon CloudWatch, Amazon ElastiCache provides enhanced visibility into key performance metrics associated with your Memcached or Redis nodes.
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
Amazon Redshift delivers fast query and I/O performance for virtually any size dataset by using columnar storage technology and parallelizing and distributing queries across multiple nodes. We’ve made Amazon Redshift easy to use by automating most of the common administrative tasks associated with provisioning, configuring, monitoring, backing up, and securing a data warehouse.
Powerful security functionality is built-in. Amazon Redshift supports Amazon VPC out of the box and you can encrypt all your data and backups with just a few clicks. Once you’ve provisioned your cluster, you can connect to it and start loading data and running queries using the same SQL-based tools you use today.
Amazon Elastic MapReduce (Amazon EMR)
Amazon Elastic MapReduce (Amazon EMR is a web service that makes it easy to quickly and cost-effectively process vast amounts of data.
Amazon EMR uses Hadoop, an open source framework, to distribute your data and processing across a resizable cluster of Amazon EC2 instances. Amazon EMR is used in a variety of applications, including log analysis, web indexing, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics. Customers launch millions of Amazon EMR clusters every year.
Amazon Kinesis is a fully managed service for real-time processing of streaming data at massive scale. Amazon Kinesis can collect and process hundreds of terabytes of data per hour from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time, from sources such as web site click-streams, marketing and financial information, manufacturing instrumentation and social media, and operational logs and metering data.
With Amazon Kinesis applications, you can build real-time dashboards, capture exceptions and generate alerts, drive recommendations, and make other real-time business or operational decisions. You can also easily send data to a variety of other services such as Amazon Simple Storage Service (Amazon S3), Amazon DynamoDB, or Amazon Redshift. In a few clicks and a couple of lines of code, you can start building applications which respond to changes in your data stream in seconds, at any scale, while only paying for the resources you use.
AWS Data Pipeline
AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services as well as on-premise data sources at specified intervals. With AWS Data Pipeline, you can regularly access your data where it’s stored, transform and process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon Elastic MapReduce (EMR).
AWS Data Pipeline helps you easily create complex data processing workloads that are fault tolerant, repeatable, and highly available. You don’t have to worry about ensuring resource availability, managing inter-task dependencies, retrying transient failures or timeouts in individual tasks, or creating a failure notification system. AWS Data Pipeline also allows you to move and process data that was previously locked up in on-premise data silos
Amazon AppStream is a flexible, low-latency service that lets you stream resource intensive applications and games from the cloud. It deploys and renders your application on AWS infrastructure and streams the output to mass-market devices, such as personal computers, tablets, and mobile phones. Because your application is running in the cloud, it can scale to handle vast computational and storage needs, regardless of the devices your customers are using. You can choose to stream either all or parts of your application from the cloud. Amazon AppStream enables use cases for games and applications that wouldn’t be possible running natively on mass-market devices. Using Amazon AppStream, your games and applications are no longer constrained by the hardware in your customer’s hands.
Amazon AppStream includes a SDK that currently supports streaming applications from Microsoft Windows Server 2008 R2 to devices running FireOS, Android, iOS, and Microsoft Windows. A Mac OS X SDK is planned for 2014.
Amazon Simple Queue Service (Amazon SQS)
Amazon Simple Queue Service (Amazon SQS) is a fast, reliable, scalable, fully managed message queuing service. SQS makes it simple and cost-effective to decouple the components of a cloud application. You can use SQS to transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.
Amazon Simple Notification Service (Amazon SNS)
Amazon Simple Notification Service (Amazon SNS) Amazon Simple Notification Service (SNS) is a fast, flexible, fully managed push messaging service. SNS makes it simple and cost-effective to push to mobile devices such as iPhone, iPad, Android, Kindle Fire, and internet connected smart devices, as well as pushing to other distributed services.
Besides pushing cloud notifications directly to mobile devices, SNS can also deliver notifications by SMS text message or email, to Simple Queue Service (SQS) queues, or to any HTTP endpoint.
To prevent messages from being lost, all messages published to Amazon SNS are stored redundantly across multiple availability zones.
Amazon Simple Workflow Service (Amazon SWF)
Amazon Simple Workflow Service (Amazon SWF) is a task coordination and state management service for cloud applications. With Amazon SWF, you can stop writing complex glue-code and state machinery and invest more in the business logic that makes your applications unique. Our APIs, ease-of-use libraries, and control engine give developers the tools to coordinate, audit, and scale applications across multiple machines – in the AWS Cloud and other data centers. Whether automating business processes for finance applications, building big-data systems, or managing cloud infrastructure services, Amazon SWF helps you develop applications with processing steps that are resilient to failure – steps that can be scaled independent of each other and be audited even when they touch many different systems. Using Amazon SWF, you structure the various processing steps in an application that runs across one or more machines as a set of “tasks.” Amazon SWF manages dependencies between the tasks, schedules the tasks for execution, and runs any logic that needs to be executed in parallel. The service also stores the tasks, reliably dispatches them to application components, tracks their progress, and keeps their latest state. As your business requirements change, Amazon SWF makes it easy to change application logic without having to worry about the underlying state machinery, task dispatch, and flow control, and like other AWS Services, you only pay for what you use.
Amazon Simple Email Service (Amazon SES)
Amazon Simple Email Service (Amazon SES) is a highly scalable and cost-effective bulk and transactional email sending service for organizations and developers. Amazon SES eliminates the complexity and expense of building an in-house email solution or licensing, installing, and operating a third-party email service. The service integrates with other AWS services, making it easy to send emails from applications that are hosted on services such as Amazon EC2. With Amazon SES there is no long-term commitment, minimum spend, or negotiation required. Organizations can utilize a free usage tier and after that enjoy low fees for the number of emails sent plus data transfer fees.
Building large-scale email solutions to send marketing and transactional messages is often a complex and costly challenge for organizations. To optimize the percentage of emails that are successfully delivered, organizations must deal with email server management and network configuration, plus they must meet rigorous Internet service provider (ISP) standards for email content. Additionally, many third-party email solutions require contract and price negotiations, as well as significant up-front costs.
Amazon SES eliminates these challenges and enables organizations to benefit from the years of experience and sophisticated email infrastructure Amazon.com has built to serve its own large-scale customer base. Using SMTP or a simple API call, an organization can now access a high-quality, scalable email infrastructure to efficiently and inexpensively communicate to their customers. For high email deliverability, Amazon SES uses content filtering technologies to scan an organization’s outgoing email messages to help ensure that the content meets ISP standards. The email message is then either queued for sending or routed back to the sender for corrective action. To help organizations further improve the quality of email communications with their customers, Amazon SES provides a built-in feedback loop, which includes notifications of bounce backs, failed and successful delivery attempts, and spam complaints.
Amazon CloudSearch is a fully-managed service in the AWS Cloud that makes it easy to set up, manage, and scale a search solution for your website or application. Amazon CloudSearch enables you to search large collections of data such as web pages, document files, forum posts, or product information.
With Amazon CloudSearch, you can quickly add search capabilities to your website without having to become a search expert or worry about hardware provisioning, setup, and maintenance. With a few clicks in the AWS Management Console, you can create a search domain, upload the data you want to make searchable to Amazon CloudSearch, and the search service automatically provisions the required technology resources and deploys a highly tuned search index. As your volume of data and traffic fluctuates, Amazon CloudSearch seamlessly scales to meet your needs. You can easily change your search parameters, fine tune search relevance, and apply new settings at any time without having to re-upload your data.
Amazon CloudSearch enables customers to offload the administrative burden and expense of operating and scaling a search service. With Amazon CloudSearch, there’s no need to worry about hardware provisioning, data partitioning, or software patches.
Amazon Elastic Transcoder
Amazon Elastic Transcoder is media transcoding in the cloud. It is designed to be a highly scalable, easy to use and a cost effective way for developers and businesses to convert (or “transcode”) media files from their source format into versions that will playback on devices like smartphones, tablets and PCs.
Amazon Elastic Transcoder manages all aspects of the transcoding process for you transparently and automatically. There’s no need to administer software, scale hardware, tune performance, or otherwise manage transcoding infrastructure. You simply create a transcoding “job” specifying the location of your source video and how you want it transcoded. Amazon Elastic Transcoder also provides transcoding presets for popular output formats, which means that you don’t need to guess about which settings work best on particular devices. All these features are available via service APIs and the AWS Management Console.
Deployment and Management
AWS Identity and Access Management (IAM)
AWS Identity and Access Management (IAM) enables you to securely control access to AWS services and resources for your users. Using IAM, you can create and manage AWS users and groups and use permissions to allow and deny their access to AWS resources. IAM allows you to:
Manage IAM users and their access – You can create users in IAM, assign them individual security credentials (i.e., access keys, passwords, and Multi-Factor Authentication devices) or request temporary security credentials to provide users access to AWS services and resources. You can manage permissions in order to control which operations a user can perform. Manage IAM roles and their permissions – You can create roles in IAM, and manage permissions to control which operations can be performed by the entity, or AWS service, that assumes the role. You can also define which entity is allowed to assume the role. Manage federated users and their permissions – You can enable identity federation to allow existing identities (e.g. users) in your enterprise to access the AWS Management Console, to call AWS APIs, and to access resources, without the need to create an IAM user for each identity.
AWS CloudTrail is a web service that records AWS API calls for your account and delivers log files to you. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service.
With CloudTrail, you can get a history of AWS API calls for your account, including API calls made via the AWS Management Console, AWS SDKs, command line tools, and higher-level AWS services (such as AWS CloudFormation). The AWS API call history produced by CloudTrail enables security analysis, resource change tracking, and compliance auditing.
Amazon CloudWatch provides monitoring for AWS cloud resources and the applications customers run on AWS. Developers and system administrators can use it to collect and track metrics, gain insight, and react immediately to keep their applications and businesses running smoothly. Amazon CloudWatch monitors AWS resources such as Amazon EC2 and Amazon RDS DB Instances, and can also monitor custom metrics generated by a customer’s applications and services. With Amazon CloudWatch, you gain system-wide visibility into resource utilization, application performance, and operational health.
Amazon CloudWatch provides a reliable, scalable, and flexible monitoring solution that you can start using within minutes. You no longer need to set up, manage, or scale your own monitoring systems and infrastructure. Using Amazon CloudWatch, you can easily monitor as much or as little metric data as you need. Amazon CloudWatch lets you programmatically retrieve your monitoring data, view graphs, and set alarms to help you troubleshoot, spot trends, and take automated action based on the state of your cloud environment.
AWS Elastic Beanstalk
AWS Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications and services developed with popular programming languages such as Java, .NET, PHP, Node.js, Python and Ruby. You simply upload your application and Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling and application health monitoring. At the same time, with Elastic Beanstalk, you retain full control over the AWS resources powering your application and can access the underlying resources at any time.
Most existing application containers or platform-as-a-service solutions, while reducing the amount of programming required, significantly diminish developers’ flexibility and control. Developers are forced to live with all the decisions pre-determined by the vendor – with little to no opportunity to take back control over various parts of their application’s infrastructure. However, with Elastic Beanstalk, you retain full control over the AWS resources powering your application. If you decide you want to take over some (or all) of the elements of their infrastructure, you can do so seamlessly by using Elastic Beanstalk’s management capabilities.
To ensure easy portability of your application, Elastic Beanstalk is built using familiar application/web servers such as Apache HTTP Server, Apache Tomcat, Nginx, Passenger and IIS 7.5/8.
AWS CloudFormation gives developers and systems administrators an easy way to create and manage a collection of related AWS resources, provisioning and updating them in an orderly and predictable fashion.
You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run your application. You don’t need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make those dependencies work. AWS CloudFormation takes care of this for you. Once deployed, you can modify and update the AWS resources in a controlled and predictable way. This allows you to version control your AWS infrastructure in the same way as you version control your software.
You can deploy and update a template and its associated collection of resources (called a stack) using the AWS Management Console, AWS CloudFormation command line tools, or CloudFormation API. AWS CloudFormation is available at no additional charge, and you pay only for the AWS resources needed to run your applications.
AWS OpsWorks AWS OpsWorks is an application management service that makes it easy for DevOps users to model and manage the entire application from load balancers to databases. Start from templates for common technologies like Ruby, Node.JS, PHP, and Java, or build your own using Chef recipes to install software packages and perform any task that you can script. AWS OpsWorks can scale your application using automatic load-based or time-based scaling and maintain the health of your application by detecting failed instances and replacing them. You have full control of deployments and automation of each component.
The AWS CloudHSM service helps you meet corporate, contractual and regulatory compliance requirements for data security by using dedicated Hardware Security Module (HSM) appliances within the AWS cloud.
AWS and AWS Marketplace partners offer a variety of solutions for protecting sensitive data within the AWS platform, but for applications and data subject to rigorous contractual or regulatory requirements for managing cryptographic keys, additional protection is sometimes necessary. Until now, your only option was to store the sensitive data (or the encryption keys protecting the sensitive data) in your on-premise datacenters. Unfortunately, this either prevented you from migrating these applications to the cloud or significantly slowed their performance. The AWS CloudHSM service allows you to protect your encryption keys within HSMs designed and validated to government standards for secure key management. You can securely generate, store, and manage the cryptographic keys used for data encryption such that they are accessible only by you. AWS CloudHSM helps you comply with strict key management requirements without sacrificing application performance.
The AWS CloudHSM service works with Amazon Virtual Private Cloud (VPC). CloudHSMs are provisioned inside your VPC with an IP address that you specify, providing simple and private network connectivity to your Amazon Elastic Cloud (EC2) instances. Placing CloudHSMs near your EC2 instances decreases network latency, which can improve application performance. AWS provides dedicated and exclusive access to CloudHSMs, isolated from other AWS customers. Available in multiple Regions and Availability Zones (AZs), AWS CloudHSM allows you to add secure and durable key storage to your Amazon EC2 applications.