8K Miles' Response to RFP - NCPA

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Amazon’s proven network infrastructure and datacenters. The Amazon EC2 Service Level Agreement (SLA) commitment is 99.95% availability for each Amazon EC2 Region. • In all of the foregoing cases, the AWS security and compliance regime is only applicable up to the hypervisor. Each Region 14 and NCPA member organization is responsible for the security and compliance of the applications deployed on AWS. The 8KMiles Secure VPC (S-VPC) solution provides additional security controls for the applications running in VPC to meet the application security and compliance requirements. Subsection 5.13 describes the S-VPC solution in more detail. Amazon Elastic MapReduce (Amazon EMR) is a web service that enables Region 14 and NCPA members to easily and cost effectively process vast amounts of data. It utilizes a hosted Hadoop framework running on the web-scale infrastructure of Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Simple Storage Service (Amazon S3). Using Amazon Elastic MapReduce, Region 14 and NCPA members can instantly provision as much or as little capacity as they like to perform data-intensive tasks for applications such as web indexing, data mining, log file analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics research. Amazon Elastic MapReduce lets Region 14 and NCPA members focus on crunching or analyzing their data without having to worry about time-consuming setup, management, or tuning of Hadoop clusters or the compute capacity upon which they sit. Amazon Elastic MapReduce automatically spins up a Hadoop implementation of the MapReduce framework on Amazon EC2 instances, subdividing the data in a job flow into smaller chunks so that they can be processed (the “map” function) in parallel, and eventually recombining the processed data into the final solution (the “reduce” function). Amazon S3 serves as the source for the data being analyzed, and as the output destination for the end results. The Big Data solution presented in subsection 5.15 describes how 8KMiles can help Region 14 and NCPA members apply Amazon EMR to efficiently analyze vast amounts of data and improve their decision making capability to improve effectiveness and efficiency of their mission. Auto Scaling allows Region 14 and NCPA members to achieve the elasticity benefits by scaling their Amazon EC2 capacity up or down automatically according to conditions they define. With Auto Scaling, Region 14 and NCPA members can ensure that the number of Amazon EC2 instances 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. Key features include: • Scale out Amazon EC2 instances seamlessly and automatically when demand increases.
• Shed unneeded Amazon EC2 instances automatically and save money when demand subsides. • Scale dynamically based on Amazon CloudWatch metrics, or predictably according to a schedule that customers define. • Receive notifications via Amazon Simple Notification Service (SNS) to be alerted when you use Amazon CloudWatch alarms to initiate Auto Scaling actions, or when Auto Scaling completes an action. • Run On-Demand or Spot instances, including those inside your Virtual Private Cloud (VPC) or High Performance Computing (HPC) Clusters. • Auto Scaling is enabled by Amazon CloudWatch and carries no additional fees. Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances. It enables Region 14 and NCPA members to achieve even greater fault tolerance in their applications, seamlessly providing the amount of load balancing capacity needed in response to incoming application traffic. Elastic Load Balancing detects unhealthy instances within a pool 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. Elastic Load Balancing can also be used in an Amazon Virtual Private Cloud (VPC) to distribute traffic between application tiers. Key features include: • Distributing incoming traffic across Amazon EC2 instances in a single Availability Zone or multiple Availability Zones. Elastic Load Balancing automatically scales its request handling capacity in response to incoming application traffic. • When used in a VPC, users can create and manage security groups associated with their Elastic Load Balancing to provide additional networking and security options. • When used in a VPC, users can create a load balancer without public IP addresses to serve as an internal (non-Internet facing) load balancer. • Elastic Load Balancing can detect the health of Amazon EC2 instances. When it detects unhealthy load-balanced Amazon EC2 instances, it no longer routes traffic to those Amazon EC2 instances and spreads the load across the remaining healthy Amazon EC2 instances. • Elastic Load Balancing supports the ability to stick user sessions to specific EC2 instances. • Elastic Load Balancing supports SSL termination at the Load Balancer, including offloading SSL decryption from application instances, centralized management of SSL certificates, and encryption to backend instances with optional public key authentication. • Flexible cipher support allows users to control the ciphers and protocols that are accepted by Elastic Load Balancing in the SSL negotiation for client connections.
Page 1 and 2: October 23, 2012 Region 14 Educatio
Page 3 and 4: Tab 1: Signature Form .............
Page 5 and 6: 5.9 Support .......................
Page 7 and 8: The undersigned hereby proposes and
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Page 49 and 50: monitoring and access control is sh
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Page 67 and 68: INCORPORATION OF FEDERAL TRANSIT AD

8K Miles' Response to RFP - NCPA

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