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Our Data Strategy

Fluid Reponse, Minimal Cost.

Save Money & Improve Service With Open Source Software And Cloud Computing.


 
As we mentioned, we take our cost minimization incredibly seriously. Its also about our culture of optimizing everything we do for ourselves and our clients. A major part of this is our deployment of services using Amazon Web Services cloud infrastructure. Atop this PaaS (Platform-as-a-Service) we utilize open source technologies such as MySQL, MongoDB, Mondrian, CentOS, NginX and more to allow the largest percentage of our IT costs to flow in to computing power and responsiveness for our customers.

Today we take advantage of the cloud flexibility to offer flexible lease and release of computing time to allow us to leverage massive computing only when we need it and eliminate the costs of purchasing hardware, the hassle of depreciating it, maintainin it, etc. Our savings becomes your savings through our ability to offer extremely competitive pricing for our services. Here are just a few examples below:

Business Challenge

Traditional Scenario

Cloud Scenario

Conclusion

The volume of EDI data incoming doubles in 3 months due to new clients. Overwhelms existing servers only during peak hours in the morning as the data arrives and requires processing.

Average processing time increases by 800%.
Put in a request to purchase additional server for approx. $4k. Service level of processing EDI data declines while awaiting approval. Approval is given, purchase is made, server arrives in 5-7 business days, paid staff installs in data center, service level rises. New server consumes energy resources 24/7 while idling for 70% of the day.

Approximate timeframe to solution: 2 weeks.


Approximate incremental cost: $4k, plus power, plus maintenance costs, accounting costs for deprciation etc.

Execute 6 lines of code to provision new computing instance from 4am-11am daily, add the instance to the processing load balancer. Shutdown extra computing instance from 11:01am-3:59am daily when demand declines.

Approximate timeframe to solution: 20 minutes.


Cost per hour: between $0.11 and $0.32/hr or about $1.00-1.40/daily for the hours provisioned

Through the use of the cloud we can reduce response time by 99.9009%, reduce capital outlay by 92.97% over 1 year and achieve 100% variable cost tied to our increased business volume and have zero maintenance or additional energy related costs.

If volume doubles again in a month, we simply change the number of compute instances created to 3 instead of 1 for the hours needed daily.
A tornado impacts the data center currently housing your main business systems. Network access is severed and physical access is limited as repair crew work to bring all computers back to working state. Total downtime while data center is restored.

Approximate timeframe to solution: unknown.


Traffic is shifted to alternate availability zone data center (1 of 8) automatically upon failure of the primary. New instances for the web servers and other servers are started across a new availabity zone and a third availability zone is designated the new backup. Minimal service is interrupted.

Approximate timeframe to solution: 0-5 minutes.


The availability and redundancy of Amazon's data centers is at our disposal so operations can be migrated nearly seamlessly should a primary data center become unavailable.
Maintain data privacy and security while offering a service to users. Require VPN connections for all remote users to tunnel data through encrypted channel. Restrict access to data center racks to controlled access lists. Deploy multi-level permissions and login schemes for each business application, shared data folders, databases etc. Employ firewalls to restrict access to internal systems. All traffic to and from our website is encrypted via SSL at all times. We utilize one level of permissions provided through the user interface to control access via the website which is simple and less prone to holes in overlaps. All reports generated are logged for review if desired as is all access to the web application itself. All access to Amazon's datacenters is controlled and audits have been performed: See here.

Again, our solution is simplicity over complexity. A single online interface using web security standards for data transmission minimizes the potential attack surface and simplifies access controls.