Google Compute Engine pricing much more honest than AWS and Azure Pricing

Google compute is priced like a Taxi- 10 minutes and then in blocks of 1 minute .

The web page is clear and simple and does not confuse

Google Compute Engine Pricing is more honest in its GA

Microsoft dazzles but hides pricing between layers of pages, while Amazon does it with dropdowns and contact us baits. IBM is impossible  to get an upfront honest price from and I am still trying to figure out Oracle Cloud

Hopefully GCE uptime will be better than Gmail Uptime!!!

——————————————————————————————————————————-

From

https://cloud.google.com/products/compute-engine/

Pricing

All machine types are charged a minimum of 10 minutes. For example, if you run your instance for 2 minutes, you will be billed for 10 minutes of usage. After 10 minutes, instances are charged in 1 minute increments, rounded up to the nearest minute. For example, an instance that lives for 11.25 minutes will be charged for 12 minutes of usage.

If you would like to discuss pricing for long-term commitments, please contact sales

Machine Type Pricing

Standard

Instance type Virtual Cores Memory Price (US$)/Hour
(US hosted)
Price (US$)/Hour
(Europe hosted)
n1-standard-1 1 3.75GB * $0.104 $0.114
n1-standard-2 2 7.5GB $0.207 $0.228
n1-standard-4 4 15GB * $0.415 $0.456
n1-standard-8 8 30GB $0.829 $0.912
n1-standard-16 16 60GB $1.659 $1.825

High Memory

Machines for tasks that require more memory relative to virtual cores

Instance type Virtual Cores Memory Price (US$)/Hour
(US hosted)
Price (US$)/Hour
(Europe hosted)
n1-highmem-2 2 13GB $0.244 $0.275
n1-highmem-4 4 26GB $0.488 $0.549
n1-highmem-8 8 52GB $0.975 $1.098
n1-highmem-16 16 104GB $1.951 $2.196

High CPU

Machines for tasks that require more virtual cores relative to memory

Instance type Virtual Cores Memory Price (US$)/Hour
(US hosted)
Price (US$)/Hour
(Europe hosted)
n1-highcpu-2 2 1.80GB $0.131 $0.146
n1-highcpu-4 4 3.60GB $0.261 $0.292
n1-highcpu-8 8 7.20GB $0.522 $0.584
n1-highcpu-16 16 14.40GB $1.044 $1.167

Shared Core

Machines for tasks that don’t require a lot of resources but do have to remain online for long periods of time.

Instance type Virtual Cores Memory Price (US$)/Hour
(US hosted)
Price (US$)/Hour
(Europe hosted)
f1-micro 1 0.60GB $0.019 $0.021
g1-small 1 1.70GB $0.054 $0.059

Network Pricing

Ingress Free
Egress to the same Zone. Free
Egress to a different Cloud service within the same Region. Free
Egress to a different Zone in the same Region (per GB) $0.01
Egress to a different Region within the US $0.01 ***
Inter-continental Egress At Internet Egress Rate
Internet Egress (Americas/EMEA destination) per GB
0-1 TB in a month $0.12
1-10 TB $0.11
10+ TB $0.08
Internet Egress (APAC destination) per GB
0-1 TB in a month $0.21
1-10 TB $0.18
10+ TB $0.15

Persistent Disk Pricing

Provisioned space $0.04 GB / month
Snapshot storage $0.125 GB / month
IO operations No additional charge

Image Storage

Image storage $0.085 GB / month

IP Address Pricing

Static IP address (assigned but unused) $0.01 / hour
Static IP address (assigned and in use) Free
Ephemeral IP address (attached to instance) Free

VERSUS

http://aws.amazon.com/ec2/pricing/

Pricing is per instance-hour consumed for each instance, from the time an instance is launched until it is terminated or stopped. Each partial instance-hour consumed will be billed as a full hour.

On-Demand Instance Prices

Region:US East (N. Virginia)US West (Oregon)US West (Northern California)EU (Ireland)Asia Pacific (Singapore)Asia Pacific (Tokyo)Asia Pacific (Sydney)South America (Sao Paulo)
$  US Dollar
Linux/UNIX Usage
General Purpose – Current Generation
m3.xlarge $0.450 per Hour
m3.2xlarge $0.900 per Hour
General Purpose – Previous Generation
m1.small $0.060 per Hour
m1.medium $0.120 per Hour
m1.large $0.240 per Hour
m1.xlarge $0.480 per Hour
Compute Optimized – Current Generation
c3.large $0.150 per Hour
c3.xlarge $0.300 per Hour
c3.2xlarge $0.600 per Hour
c3.4xlarge $1.200 per Hour
c3.8xlarge $2.400 per Hour
Compute Optimized – Previous Generation
c1.medium $0.145 per Hour
c1.xlarge $0.580 per Hour
cc2.8xlarge $2.400 per Hour
GPU Instances – Current Generation
g2.2xlarge $0.650 per Hour
GPU Instances – Previous Generation
cg1.4xlarge $2.100 per Hour
Memory Optimized – Current Generation
m2.xlarge $0.410 per Hour
m2.2xlarge $0.820 per Hour
m2.4xlarge $1.640 per Hour
cr1.8xlarge $3.500 per Hour
Storage Optimized – Current Generation
hi1.4xlarge $3.100 per Hour
hs1.8xlarge $4.600 per Hour
Micro Instances
t1.micro $0.020 per Hour

Pricing is per instance-hour consumed for each instance, from the time an instance is launched until it is terminated or stopped. Each partial instance-hour consumed will be billed as a full hour.

Reserved Instances

Reserved Instances give you the option to make a low, one-time payment for each instance you want to reserve and in turn receive a significant discount on the hourly charge for that instance. There are three Reserved Instance types (Light, Medium, and Heavy Utilization Reserved Instances) that enable you to balance the amount you pay upfront with your effective hourly price.

The following tables display the Reserved Instance Prices available directly from AWS. In addition to Reserved Instances for Linux/UNIX and Windows operating systems specified below, we also offer Reserved Instances forAmazon EC2 running SUSE Linux Enterprise ServerAmazon EC2 running Red Hat Enterprise Linux, and Amazon EC2 running Microsoft SQL Server. Dedicated Reserved Instances are also available.

Light Utilization Reserved Instances

Region:US East (N. Virginia)US West (Northern California)US West (Oregon)EU (Ireland)Asia Pacific (Singapore)Asia Pacific (Tokyo)Asia Pacific (Sydney)South America (Sao Paulo)
$  US Dollar
1 yr Term 3 yr Term
Upfront Hourly Upfront Hourly
General Purpose – Current Generation
m3.xlarge $439 $0.254 per Hour $686 $0.201 per Hour
m3.2xlarge $879 $0.508 per Hour $1372 $0.401 per Hour
General Purpose – Previous Generation
m1.small $61 $0.034 per Hour $96 $0.027 per Hour
m1.medium $122 $0.068 per Hour $192 $0.054 per Hour
m1.large $243 $0.136 per Hour $384 $0.108 per Hour
m1.xlarge $486 $0.271 per Hour $768 $0.215 per Hour
Compute Optimized – Current Generation
c3.large $167 $0.093 per Hour $252 $0.082 per Hour
c3.xlarge $333 $0.186 per Hour $503 $0.164 per Hour
c3.2xlarge $667 $0.373 per Hour $1006 $0.327 per Hour
c3.4xlarge $1333 $0.745 per Hour $2012 $0.654 per Hour
c3.8xlarge $2666 $1.49 per Hour $4024 $1.308 per Hour
Compute Optimized – Previous Generation
c1.medium $161 $0.09 per Hour $243 $0.079 per Hour
c1.xlarge $644 $0.36 per Hour $972 $0.316 per Hour
cc2.8xlarge $1762 $0.904 per Hour $2710 $0.904 per Hour
GPU Instances – Current Generation
g2.2xlarge $772 $0.499 per Hour $1143 $0.392 per Hour
Memory Optimized – Current Generation
m2.xlarge $272 $0.169 per Hour $398 $0.136 per Hour
m2.2xlarge $544 $0.338 per Hour $796 $0.272 per Hour
m2.4xlarge $1088 $0.676 per Hour $1592 $0.544 per Hour
cr1.8xlarge $2474 $1.54 per Hour $3846 $1.225 per Hour
Storage Optimized – Current Generation
hs1.8xlarge $3968 $2.24 per Hour $5997 $1.81 per Hour
hi1.4xlarge $2576 $1.477 per Hour $3884 $1.15 per Hour
Micro Instances
t1.micro $23 $0.012 per Hour $35 $0.012 per Hour

Medium Utilization Reserved Instances

Region:US East (N. Virginia)US West (Northern California)US West (Oregon)EU (Ireland)Asia Pacific (Singapore)Asia Pacific (Tokyo)Asia Pacific (Sydney)South America (Sao Paulo)
$  US Dollar
1 yr Term 3 yr Term
Upfront Hourly Upfront Hourly
General Purpose – Current Generation
m3.xlarge $1034 $0.156 per Hour $1631 $0.123 per Hour
m3.2xlarge $2069 $0.313 per Hour $3262 $0.247 per Hour
General Purpose – Previous Generation
m1.small $139 $0.021 per Hour $215 $0.017 per Hour
m1.medium $277 $0.042 per Hour $430 $0.033 per Hour
m1.large $554 $0.084 per Hour $860 $0.067 per Hour
m1.xlarge $1108 $0.168 per Hour $1720 $0.133 per Hour
Compute Optimized – Current Generation
c3.large $383 $0.056 per Hour $591 $0.049 per Hour
c3.xlarge $766 $0.112 per Hour $1182 $0.097 per Hour
c3.2xlarge $1532 $0.224 per Hour $2364 $0.195 per Hour
c3.4xlarge $3064 $0.447 per Hour $4728 $0.389 per Hour
c3.8xlarge $6127 $0.894 per Hour $9456 $0.778 per Hour
Compute Optimized – Previous Generation
c1.medium $370 $0.054 per Hour $571 $0.047 per Hour
c1.xlarge $1480 $0.216 per Hour $2284 $0.188 per Hour
cc2.8xlarge $4146 $0.54 per Hour $6378 $0.54 per Hour
GPU Instances – Current Generation
g2.2xlarge $1987 $0.34 per Hour $3311 $0.294 per Hour
Memory Optimized – Current Generation
m2.xlarge $651 $0.103 per Hour $992 $0.08 per Hour
m2.2xlarge $1302 $0.206 per Hour $1984 $0.16 per Hour
m2.4xlarge $2604 $0.412 per Hour $3968 $0.32 per Hour
cr1.8xlarge $5958 $0.93 per Hour $9006 $0.735 per Hour
Storage Optimized – Current Generation
hs1.8xlarge $9200 $1.38 per Hour $14103 $1.11 per Hour
hi1.4xlarge $5973 $0.909 per Hour $9133 $0.705 per Hour
Micro Instances
t1.micro $54 $0.007 per Hour $82 $0.007 per Hour

Heavy Utilization Reserved Instances

Loading pricing data…

Reserved Instances can be purchased directly from AWS for 1 or 3 year terms. Using the Reserved Instance Marketplace, you have the flexibility to purchase Reserved Instances from AWS Reserved Instance Marketplace Sellers for terms ranging between 1 month to 36 months (depending on available selection). In either case, the one-time fee per instance is non-refundable. If your needs change, you can also request to move your Reserved Instance to another Availability Zone within the same region, change its Network Platform, or, for Linux/UNIX and Windows RIs, modify the instance type of your reservation to another type in the same instance family at no additional cost.

Light and Medium Utilization Reserved Instances also are billed by the instance-hour for the time that instances are in a running state; if you do not run the instance in an hour, there is zero usage charge. Partial instance-hours consumed are billed as full hours. Heavy Utilization Reserved Instances are billed for every hour during the entire Reserved Instance term (which means you’re charged the hourly fee regardless of whether any usage has occurred during an hour).

If Microsoft or Red Hat chooses to increase the license fees that it charges for Windows or Red Hat Enterprise Linux, we may correspondingly increase the per-hour usage rate for previously purchased Reserved Instances with Windows or Red Hat Enterprise Linux. The initial one-time payment for a Reserved Instance will be unaffected in this situation. Any such changes for Windows would be made between Dec 1 – Jan 31, and with at least 30 days’ notice. Any such changes for Red Hat Enterprise Linux would be made at least 30 days’ notice. If the per-hour usage rate does increase, you may continue to use your Reserved Instance with Windows or Red Hat Enterprise Linux with the new per-hour usage rate, convert your Reserved Instance with Windows or Red Hat Enterprise Linux to a Reserved Instance with Linux/UNIX, or request a pro rata refund of the upfront fee you paid for the Reserved Instance with Windows or Red Hat Enterprise Linux.

Reserved Instances are available for Linux/UNIX, Windows, Red Hat Enterprise Linux, and SUSE Linux Enterprise operating systems. You can also optionally reserve instances in Amazon VPC at the same prices as shown above.Click here to learn more about Reserved Instances.

Reserved Instance Volume Discounts

When you have purchased a sufficient number of Reserved Instances in an AWS Region, you will automatically receive discounts on your upfront fees and usage fees for future purchases of Reserved Instances in that AWS Region. Reserved Instance Tiers are determined based on the total list price (non-discounted price) of upfront fees for the active Reserved Instances you have per AWS Region. It is important to note that Reserved Instance Tiers do not apply to Reserved Instances purchased from the Reserved Instance Marketplace. A complete list of the Reserved Instance Tiers is shown below:

Reserved Instance Volume Discounts

Total Reserved Instances

Upfront Discount

Hourly Discount
Less than $250,000
0%
0%
$250,000 to $2,000,000
10%
10%
$2,000,000 to $5,000,000
20%
20%
More than $5,000,000

http://www.windowsazure.com/EN-US/pricing/overview/

Up to 29.5% savings vs.
Pay as You Go plan
Starting at $500/month

PURCHASE

SUPPORT OPTIONSCustomizable support options to provide the best available expertise for your needs.PURCHASE

Purchase plans

* Comparisons based on the pay-as-you-go plan.

Monthly
Committed Spend

  • $500 TO $14,999
  • $15,000 TO $39,999
  • $40,000 AND ABOVE

6-Month
Monthly Pay

  • discount *
  • 20%
  • 23%
  • 27%

VIEW DETAILS | BUY

12-Month
Monthly Pay

  • discount *
  • 22.5%
  • 25.5%
  • 29.5%

VIEW DETAILS | BUY

6-Month
Pre-Pay

  • discount *
  • 22.5%
  • 25.5%
  • 29.5%

VIEW DETAILS | BUY

12-Month
Pre-Pay

  • discount *
  • 25%
  • 28%
  • 32%

VIEW DETAILS | BUY

http://www.windowsazure.com/en-us/offers/commitment-plans

Usage Quotas

The following monthly usage quotas are applied. If you need more than these limits, please contact customer service at any time so that we can understand your needs and adjust these limits appropriately.

Cloud Services and Virtual Machines

The standard quota is 20 concurrent Standard Small (A1) compute instances or an equivalent number of other types or sizes of compute instances as determined by using the compute instance quota conversion table below.

1 COMPUTE INSTANCE IN THE FOLLOWING NUMBER OF EQUIVALENT STANDARD SMALL (A1) INSTANCES
Extra Small (A0) 1
Small (A1) 1
Medium (A2) 2
Large (A3) or A6 4
Extra Large (A4)  or A7 8

Storage

  • 5 concurrent storage accounts

Active Directory

  • 150,000 objects

Also see

http://www.ibm.com/cloud-computing/social/us/en/planspricing/

https://cloud.oracle.com/mycloud/f?p=service:java_pricing:0:::::

 

Java S1

$249 / MonthBuy Now- S1

  • 1

    Oracle WebLogic Server 1

  • 1.5 GB

    RAM for Java Heap 2

  • 5 GB

    File Storage 3

  • 50 GB

    Data Transfer 4

Java S2

$499 / MonthBuy Now- S2

  • 2

    Oracle WebLogic Servers 1

  • 3 GB

    RAM for Java Heap 2

  • 10 GB

    File Storage 3

  • 250 GB

    Data Transfer 4

Java S4

$1,499 / MonthBuy Now- S4

  • 4

    Oracle WebLogic Servers 1

  • 6 GB

    RAM for Java Heap 2

  • 25 GB

    File Storage 3

  • 500 GB

    Data Transfer 4

Interview Dr. Jonathan Cornelissen, CEO Datamind #rstats

Here is an interview  with Dr Jonathan  Cornelissen, CEO of Datamind which also makes RDocumentation, and R-fiddle. I have written on them before here and here   jonathan

Ajay- Congrats for making on the first page of hacker news with R-Fiddle .What were your motivations for making http://www.r-fiddle.org/.

Jonathan- Thank you. I must admit it was very exciting to be mentioned on Hacker News, since a lot of people were exposed to the R-fiddle project immediately. In addition, it was a first good test on how our servers would perform!

The motivation for building R-fiddle was simple; our CTO Dieter frequently uses the popular sitehttp://jsfiddle.net/ to prototype webpages, and to share his coding ideas with us. We were looking for something similar for R but it turned out a website allowing you to quickly write, run and share R-code right inside your browser didn’t exist yet. Since we were convinced a fiddle like tool for R would be  useful, we just started building it. Based on the positive reactions and the fast adoption of R-fiddle, I think we were right. That being said, this is a first version of R-fiddle, and we’ll definitely improve it over the coming months. Check out our blog for updates. (http://blog.datamind.org/)

Ajay- Why did you make http://www.rdocumentation.org/ given that there is so much #Rstats documentation all around the internet including http://www.inside-r.org/ 

Jonathan- When we started working on the www.datamind.org platform, we did an online survey to find out whether there would be interest in an interactive learning platform for R and statistics. Although the survey was not on this topic, one of the most striking findings was that a large percentage of R users apparently is frustrated about the documentation of R and its packages. This is interesting since it not only frustrates current users, but it also increases the barrier to entry for new R users and hence puts a brake on the growth and adoption of R as a language. It is mainly for the latter reason we started building Rdocumentation. The whole focus is on usability and letting all users contribute to make the documentation stronger. By the end of next week, we’ll launch a new version of Rdocumentation, that introduces advanced search functionality for all R functions, shows the popularity of R packages and much more. So make sure to www.Rdocumentation.org for updates!

Ajay- What have been your responses to http://www.datamind.org/#/ . Any potential content creation partners or even corporate partners like statistics.com, Revolution , RStudio, Mango etc

Jonathan- The response to the beta version of DataMind has been great, thousands of learners signed up and took the demo course. We are talking to some of the leading companies in the space and some very well-known professors to develop courses together. It is too soon to disclose details, but we will put regular updates on www.datamind.org! Corporates interested in what we do should definitely get in contact with Martijn@datamind.org.

Ajay- Would it be accurate to call http://www.r-fiddle.org/#/  a browser based GUI for R on the cloud . What enhancements can be we expect in the future?

Jonathan- R-fiddle is indeed a browser based GUI for R on the cloud. We have a lot of ideas to improve and extend it. Some of the ideas are: the ability for users to concurrently make changes to a fiddle (Google-docs-style), support for loading data sets, github integration, better security management, lists of popular fiddles or fiddles from popular people, etc. However, the strong point about R-fiddle is that it is really simple and there is absolutely no friction to start using it. In that respect, we want to differentiate R-fiddle from more advanced solutions such as StatAce or Rstudio Server, which focus on more advanced R users or R usage. rf1

Ajay- You described your architecture for datamind.org  at http://blog.datamind.org/ which is very open and transparent of you.  What is the architecture for http://www.r-fiddle.org/#/ and what is it based out of?

Jonathan- That’s an easy one. Although some details differ obviously, from a high-level perspectiveDataMind.org and R-fiddle.org have exactly the same IT architecture.

Ajay-  http://www.datamind.org/#/dashboard describes course creation . How many courses are in the pipeline and how many users and corporate training clients do you foresee in the next 12 months

Jonathan- Since  we launched DataMind, we were inundated by requests from teachers and industry experts eager to contribute their own coursework on the site. But up until last week, it was only possible to take courses instead of creating them yourself. We decided to change this since we do not want to be solely a content company, but also a platform for others to create courses. 1

Furthermore, by expanding DataMind with a content creation tool, we go beyond our naturally limited in-house ability to create courses. Now DataMind is ready to become a full on ecosystem to facilitate education between our users.

Ajay- Are you self funded- any funding constraints based on being based in Europe?

Jonathan- We are a Belgian company, founded in November of this 2013 by Dieter De Mesmaeker, Martijn Theuwissen and myself. However, the DataMind team travelled to Santagio (Chile) last week to participate in the Start-up Chile incubator for the next 6 months (which offers $40k in equity-free funding and mentoring). Here in Santiago, a fourth team member Bram Jans joined us. Furthermore, we have raised $135k seed capital from the iMinds incubator in Belgium to market and further develop the technology. Next summer, we’d like to raise more capital to be able to execute faster on our strategy towards monetization. Tech savvy investors with an interest/network in the statistics and data science area, or in online education, can always send a mail to Jonathan@datamind.org to discuss potential collaboration.

Ajay- What do you think of R in the cloud for teaching ( http://blog.datamind.org/2013/07/23/how-to-run-r-in-the-cloud-for-teaching/

Jonathan- We are convinced that cloud solutions are the future of teaching and learning in general. The main problem with the first wave of online education solutions (such as Coursera, EdX, Udacity, etc.) is that they “only” make a copy of the classroom online instead of leveraging technology to create a more engaging and efficient learning experience and interface. Therefore, I don’t think the future is in generic learning solutions. Learning interfaces will differ from domain to domain. Good examples are:Duolingo.com to learn languages, or Codeschool.com to learn web development. We are on a mission to build the best learning solutions for statistics and data science.

Ajay- What are some of the other ways we can help make R more popular on the cloud?

Jonathan- I really like the vision behind StatAce.com, and I think something like it will definitely increase further adoption of R. It is somewhat surprising that Rstudio is not offering something like that, but my assumption is they are working on it. That being said, what would be really cool is a very easy-to-use graphical user interface with R under the hood. Whether you like it or not, R has quite a steep learning curve for most people, and allowing them to analyze data with R through a graphical user interface on the web as a first step, could start the adoption of R in less technical areas.

Ajay-  Any plans to make R (CRAN or Github) packages to help  with these solutions?

Jonathan-  We’ll put a first version of the very simple Rdocumentation R package on CRAN soon. This would allow people to integrate Rdocumentation in their standard R work-flow (See an early draft version on Github: https://github.com/jonathancornelissen/Rdocumentation_package)

rdoc1

For DataMind, we are working on an R package as well to make the creation of interactive courses easier: https://github.com/jonathancornelissen/datamind. A part of this R package is actually just a wrapper around the great Slidify package (http://slidify.org/).

 

Ajay- Describe your work life balance at a tech startup?

Jonathan- Hmm, work life balance J? 

About-

You can also connect with Dr Jonathan here http://www.linkedin.com/pub/jonathan-cornelissen/4/22/426

rfiddle_smalldatamind_small (1)
rdocs_small

(Standard Blogger Disclosure- they also support Decisionstats.com in case you didnt notice the banner ad)