Architect at a tech vendor with 1,001-5,000 employees
Pay as you go is a plus but I would like to see better technical support without paying for AWS Premium Support
Use Of Solution:
4 years.
Valuable Features:
(1) Self-service without upfront cost
(2) Pay as you go & continual cost/price reduction
(3) Pervasive service offerings with continual improvement
Improvements To Organization:
We were developing a sync-and-share cloud service + mobile/desktop application for multimedia products at that time (2009). It saved lots of development & testing efforts compared to traditional IT process. As you know, multimedia files take tons of storage space, IaaS's pay as you go and no upfront cost was a major deciding factor to develop that project/product.
Room For Improvement:
(1) ELB stress testing is problematic for us at that time.
(2) Better technical support for those without paying AWS Premium Support.
Stability Issues:
I have the vague impression that we did run into some issues, but I don't remember the context.
Customer Service:
3.5 out of 5.
Technical Support:
3.5 out of 5. We didn't purchase/subscribe AWS Premium Support at that time, so we got very limited technical support from AWS forum, and AWS technical staff in Singapore. As AWS's expanded into different geographic regions with local team support, expect it should be better now.
Initial Setup:
Relatively straightforward, but would be more complex when taking security into consideration.
Implementation Team:
In-house.
Alternate Solutions:
Different projects have different business goals and requirements (business & technical). We evaluated different vendors' service offerings for different projects/products. For instance, the aforementioned multimedia sync-and-share project was built on top of AWS. We also built a device firmware update service and a connection management service on top of AWS. However, for another online video editing, social-driven free cloud service, we built it on top of GAE instead.
Other Advice:
As mentioned in previous answer, different projects have different functional and non-functional requirements. All perspectives from operation, management, and development should be evaluated for cloud service platforms.
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Independent Analyst and Advisory Consultant at a tech consulting company with 51-200 employees
Amazon Web Services (AWS) and the NetFlix Fix?
I received the following note from Amazon Web Services (AWS) about an enhancement to their Elastic Compute Cloud (EC2) service that can be seen by some as an enhancement to service or perhaps by others after last weeks outages, a fix or addressing a gap in their services. Note for those not aware, you can view current AWS service status portal here.
The following is the note I received from AWS.
Announcing Multiple IP Addresses for Amazon EC2 Instances in Amazon VPC
Dear Amazon EC2 Customer,
We are excited to introduce multiple IP addresses for Amazon EC2 instances in Amazon VPC. Instances in a VPC can be assigned one or more private IP addresses, each of which can be associated with its own Elastic IP address. With this feature you can host multiple websites, including SSL websites and certificates, on a single instance where each site has its own IP address. Private IP addresses and their associated Elastic IP addresses can be moved to other network interfaces or instances, assisting with application portability across instances.
The number of IP addresses that you can assign varies by instance type. Small instances can accommodate up to 8 IP addresses (across 2 elastic network interfaces) whereas High-Memory Quadruple Extra Large and Cluster Computer Eight Extra Large instances can be assigned up to 240 IP addresses (across 8 elastic network interfaces). For more information about IP address and elastic network interface limits, go to Instance Families and Types in the Amazon EC2 User Guide.
You can have one Elastic IP (EIP) address associated with a running instance at no charge. If you associate additional EIPs with that instance, you will be charged $0.005/hour for each additional EIP associated with that instance per hour on a pro rata basis.
With this release we are also lowering the charge for EIP addresses not associated with running instances, from $0.01 per hour to $0.005 per hour on a pro rata basis. This price reduction is applicable to EIP addresses in both Amazon EC2 and Amazon VPC and will be applied to EIP charges incurred since July 1, 2012.
To learn more about multiple IP addresses, visit the Amazon VPC User Guide. For more information about pricing for additional Elastic IP addresses on an instance, please see Amazon EC2 Pricing.
Sincerely,
The Amazon EC2 Team
We hope you enjoyed receiving this message. If you wish to remove yourself from receiving future product announcements and the monthly AWS Newsletter, please update your communication preferences.
Amazon Web Services LLC is a subsidiary of Amazon.com, Inc. Amazon.com is a registered trademark of Amazon.com, Inc. This message produced and distributed by Amazon Web Services, LLC, 410 Terry Ave. North, Seattle, WA 98109-5210.
End of AWS message
Either way you look at it, AWS (disclosure I’m a paying EC2 and S3 customer) is taking responsibility on their part to do what is needed to enable a resilient, flexible, scalable data infrastructure. What I mean by that is that protecting data and access to it in cloud environments is a shared responsibility including discussing what went wrong, how to fix and prevent it, as well as communicating best practices. That is both the provider or service along with those who are using those capabilities have to take some ownership and responsibility on how they get used.
For example, last week a major thunderstorms rolled across the U.S. causing large-scale power outages along the eastern seaboard of the U.S. and in particular in the Virginia area where one of Amazons availability zones (US East-1) has data centers located. Keep in mind that Amazon availability zones are made up of a collection of different physical data centers to cut or decrease chances of a single point of failure. However on June 30, 2012 during the major storms on the East coast of the U.S. something did go wrong, and as is usually the case, a chain of events resulted in or near a disaster (you can read the AWS post-mortem here).
The result is that AWS based out of the Virginia availability zone were knocked off line for a period which impacted EC2, Elastic Block Storage (EBS), Relational Database Service (RDS) and Elastic Load Balancer (ELB) capabilities for that zone. This is not the first time that the Virginia availability zone has been affected having met a disruption about a year ago. What was different about this most recent outage is that a year ago one of the marquee AWS customers NetFlix was not affected during that outage due to how they use multiple availability zones for HA. In last weeks AWS outage NetFlix customers or services were affected however not due to loss of data or systems, rather, loss of access (which to a user or consumer is the same thing). The loss of access was due to failure of elastic load balancing not being able to allow users access to other availability zones.
Consequently, if you choose to read between the lines on the above email note I received from AWS, you can either look at the new service capabilities as an enhancement, or AWS learning and improving their capabilities. Also reading between the lines you can see how some environments such as NetFlix take responsibility in how they use cloud services designing for availability, resiliency and scale with stability as opposed to simply using as a cost cutting tool.
Thus when both the provider and consumer take some responsibility for ensuring data protection and accessibility to services, there is less of a chance of service disruptions. Likewise when both parties learn from incidents or mistakes or leverage experiences, it makes for a more robust solution on a go forward basis. For those who have been around the block (or file) a few times thinking that clouds are not reliable or still immature you may have a point however think back to when your favorite or preferred platform (e.g. Mainframe, Mini, PC, client-server, iProduct, Web or other) initially appeared and teething problems or associated headaches.
IMHO AWS along with other vendors or service providers who take responsibility to publish post-mortem’s of incidents, find and fix issues, address and enhance capabilities is part of the solution for laying the groundwork for the future vs. simply playing to a near term trend theme. Likewise vendors and service providers who are reaching out and helping to educate and get their customers to take some responsibility in how they can use services for removing complexity (and cost) to enhance services as opposed to simply cutting cost and introducing risk will do better over the long run.
As I discuss in my book Cloud and Virtual Data Storage Networking (CRC Press), do not be scared of clouds, however be ready, do your homework, learn and understand what needs to be done or done differently. This means taking a shared responsibility one that the service provider should also be taking with you not to mention identifying new best practices, tools to be used along with conducting proof of concepts (POCs) to learn what to do and what not to do.
[To view all of the links mentioned in this post, go to: storageioblog.com/amazon-web-services-aws-and-the-netflix-fix/ ]
Some updates:
storageioblog.com/november-2013-server-storageio-update-newsletter/
storageioblog.com/fall-2013-aws-cloud-storage-compute-enhancements/
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Buyer's Guide
Amazon AWS
January 2026
Learn what your peers think about Amazon AWS. Get advice and tips from experienced pros sharing their opinions. Updated: January 2026.
881,082 professionals have used our research since 2012.
CTO at a tech company with 51-200 employees
Great for experimenting with different setups and rolling out solutions effectively but monitoring could be better
What is most valuable?
All of them in different scenarios, hard to tell.
How has it helped my organization?
Yes. It allows us to cheaply experiment with lots of different setups, evaluate prices and business ROI, and rollout solutions effectively.
What needs improvement?
Monitoring could be better IMHO. We currently hack together an extra monitoring piece into the puzzle for each project.
For how long have I used the solution?
Since 2008
What was my experience with deployment of the solution?
When the service started it had a few issues, it kept improving drastically.
What do I think about the stability of the solution?
Not in the past couple of years.
What do I think about the scalability of the solution?
Not in the past couple of years.
How are customer service and technical support?
Customer Service: Excellent.Technical Support: Excellent.
Which solution did I use previously and why did I switch?
We used sporadic in-house machines, hosted services with different vendors. Reliability and ease of use were key.
How was the initial setup?
There was a learning curve, starting to work with the service, too many 3 letters in the lingo. Courses and training and books and a podcast really help.
Which other solutions did I evaluate?
Different cost analysis of hosted services and co-locations.
What other advice do I have?
Take it slow, there is a learning curve, but you get a return on your time for every hour you invest in learning to use this service.
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Database Expert with 51-200 employees
Migrating to Amazon RDS
Having used AWS for a few years, there are numerous ways to get "your data" to the cloud. Usually the simplest is export/import (bias towards Oracle), but this process is usually slow when you start moving large data sets. There is the RMAN backup/recovery manager but this requires you to have the same instance version in the cloud - not good if you want to upgrade at the same time. Datapump is also available and is very useful as you can do Network data Pumps across database links - but again this can sometimes be slow.
I then looked into using Amazon's Advanced Data Migration Techniques (published Nov 13 2013) and decided to give it a go and have posted my walk through below (quite technical):
http://www.connecteddba.com/howto/MigratetoRDS.htm...
This was done from a local "data center" 100GB database, exported using datapump, copied to a M1.Xlarge EC2 in cloud and then copied further to the backend DATA_PUMP_DIR on the RDS instance (which you don't have access to). Then a datapump import into the RDS and job done - took me approx 12 hours in total (and that wasn't using Tsunami).
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Architect at a tech services company with 51-200 employees
Google Compute Engine vs Amazon EC2
I have been using Amazon EC2 for quite some time now and I absolutely like it. They may not be the cheapest cloud-provider and they still have some things missing, like IPv6. But they are very flexible and offer a lot of features to make it easy scaling up and down when needed.
I finally took some time to enroll myself into the Google Cloud. Looking at the Compute Engine it is just like EC2 with all the same bells, whistles and terminology. The only difference I see is the amount of available images that is almost endless on Amazon and only 2 Linux distributions at Google. I am not in need of Windows images, but they seem like a big miss on Google.
Pricing structure is also the same, although Amazon has a free tier for 1 year which allows you to try before you buy. Another advantage in the Amazon pricing is the ability to pay upfront and get a discount on the hourly pricing.
This quick comparison does not make me want to fire up one Google instance, even for trying. Please let me know if I am missing on features that could differentiate Google Compute Engine from AWS. I might want to come back and try again.
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Owner at a computer software company with 51-200 employees
Amazon EC2 monthly price tables for SaaS-relevant configurations, in euros
EC2 is Amazon’s cloud service for flexible use of virtual machines. One of the big advantages of this service is that Amazon’s hourly prices also include the cost for the Windows and/or SQL Server license. Amazon has just announced lower prices for Windows EC2 instances.
It’s not always easy to calculate total monthly costs for various configurations, so in this post I will try to give an indication of montly costs for configurations that would be relevant for SaaS applications with 1,000 – 50,000 customers.
Note: In the monthly prices below I have incorporated the upfront costs for 1- and 3-year contracts in the monthly prices (spread out over the full term).
All prices are calculated for the EU region (Ireland).
Windows web server. No additional storage.
| Configuration | Resources | On-demand (hourly) p/m | 1-year term p/m | 3-year term p/m |
| M1 large instance | 2 cores, 7.6 GB memory | €200 | €131 | €99 |
| M1 extra large instance | 4 cores, 15 GB memory | €400 | €262 | €198 |
| M3 double extra large instance | 8 “second-generation” cores, 30 GB memory | €859 | €554 | €419 |
Traffic out (to the internet) is an additional €92 per TB.
Load-balanced high-activity Windows web server.
Amazon Elastic Load Balancer
3 M3 double extra large EC2 instance on 3-year terms
5 TB of internet traffic per month
Total cost per month = €1763
Database server, EC2 instance with Windows server 2008/2012 and SQL Server Web Edition 2008/2012.
Prices below include 1TB of database storage on EBS (Elastic Block Storage, Amazon’s virtual drives). For instances without guaranteed I/O I have included 500 million I/O requests per months. Upfront costs have been spread over the months of the term.
| Configuration | Resources | Guaranteed I/O | On-demand (hourly) p/m | 1-year term p/m | 3-year term p/m |
| High-memory extra-large instance | 2 cores, 17 GB memory | (no guaranteed I/O) | €463 | €292 | €249 |
| High-memory double extra-large instance | 4 cores, 34 GB memory | 500 Mbps | €798 | €467 | €384 |
| High-memory quadruple extra-large instance | 8 cores, 68 GB memory | 1000 Mbps | €1491 | €829 | €666 |
Note that you would also need additional storage for database backups, which could add €100-500 per month, depending on backup methods and backup retention.
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Partner at a tech consulting company with 51-200 employees
AWS: What are the key Amazon Web Services components?
Over the last couple of years, the popularity of the “cloud computing” has grown dramatically and along with it so has the dominance of Amazon Web Services (AWS) in the market. Unfortunately, AWS doesn’t do a great job of explaining exactly what AWS is, how its pieces work together, or what typical use cases for its components may be. This post is an effort to address this by providing a whip around overview of the key AWS components and how they can be effectively used.
Great, so what is AWS? Generally speaking, Amazon Web Services is a loosely coupled collection of “cloud” infrastructure services that allows customers to “rent” computing resources. What this means is that using AWS, you as the client are able to flexibly provision various computing resources on a “pay as you go” pricing model. Expecting a huge traffic spike? AWS has you covered. Need to flexibly store between 1 GB or 100 GB of photos? AWS has you covered. Additionally, each of the components that makes up AWS is generally loosely coupled meaning that they can work independently or in concert with other AWS resources.
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Director of IT at a manufacturing company with 1,001-5,000 employees
Great platform, but needs a lot of attention.
Valuable Features:
Comprehensive Cloud platform offering, with a huge ecosystem of ISV partners, great selection of pre-built images, and much more!! Pricing cannot be beat, and new features and reduction in price are always in the works.
Room for Improvement:
It is a highly complex product, and requires training and familiarization before use.
Other Advice:
To optimally use this product, invest in training and development projects initially.
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Nice Review by author.
No doubt, AWS as a product is one of the great cloud platform. But there customer support is also great. It also offers the feature to scale any portion of your stack. Starting with Route 53 for DNS, moving to an ELB for load balancing, and going to RDS for backend.
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AWS is coming up with data centre in India for Indian businesses