Data transfer costs can vary widely due to AWS region pricing. AWS data transfer costs for certain regions are cheaper than others. Regions within the United States and Canada are normally the most inexpensive, whereas Singapore, India, and South America are among the most costly.
Unless there is a compelling business reason to host your services in these countries, opt for the more cost effective North American regions. By using a third-party AWS cost monitoring service such as CloudZero , you can be alerted to unforeseen and unexpected data transfer charges as they arise. Using proprietary machine learning algorithms, CloudZero will identify which services are causing you to incur high data transfer costs and suggest fixes you can make to reduce your overall spend.
Even more important is making sure that what you are spending on all cloud services aligns with and supports your business goals and strategies. CloudZero is the only cloud cost management tool that pulls in both billing and resource data from across your AWS account to automatically group costs and surface insights.
We run the data through a powerful data normalization and machine learning engine to associate costs with the activity or teams that produced them, giving you a clear picture of how your costs are trending and where you need to focus to control nonessential costs.
Why Change? Services Give engineering a cloud cost coach. Pricing Learn more about CloudZero's pricing. Demo Request a demo to see CloudZero in action. About Learn more about CloudZero and who we are. Connect With Us Got questions? We have answers. Get in touch. By Role. Engineering Enable engineering to make cost-aware development decisions. Finance Give finance the context they need to make informed decisions.
FinOps Decentralize cloud cost and mature your FinOps program. By Use Case. Cost Per Customer Analysis. Unit Cost Analysis. Cloud Cost Optimization. Kubernetes Cost Analysis. The sheer number of data transfer types that occur in the AWS environment creates a challenge in keeping up with all the associated costs. This thus requires AWS users to optimize their cloud infrastructure design to ensure efficient storage and transfer of data. AWS as well as a number of third-party utilities allow us to optimize this through cost controls and thresholds.
AWS rates are, however, significantly higher than those of similar providers such as Vultr and DigitalOcean. These costs are fair for large organizations utilizing multiple AWS services but high for small and medium entities. Traditional infrastructure proves to be cheaper and with even more performance advantages for us in the latter groups. While AWS is a powerhouse in the hosting industry, in reality, there are numerous substantially cheaper alternatives for us to choose from.
Some key findings by Happi , a service provider in the same industry show:. One of the reasons the monthly bill surprises AWS consumers is the fact that consideration is not taken on data transfer pricing when calculating total costs of ownership. Basic dedicated servers prove to be a better option for us both in terms of cost and performance.
AWS offers proprietary services that benefit developers and reduce the need for large investments in infrastructure. California to Oregon might be a suitable alternative - if your application can tolerate an extra latency of 41ms. For some reason, this test execution showed a latency of ms between N. California and Oregon, which was unusually high. Overall, Ohio and N. Virginia offer the best latency between two regions 23ms , which makes Ohio a great option as a failover region for applications deployed in N.
Ohio showed the best intraregion EC2-to-S3 transfer time across all regions, with 81ms. Ohio showed the best intraregion EC2-to-S3 transfer time across all regions, with ms. But if we look closer at specific resource requirements, the price differences can be even steeper. Or take a m5. If you thought N. California would be the same price as N. Do you want to create a serverless microservice that integrates with your existing applications in N.
California Nov 21st, from the day it was first announced July 9th, Or more than 2 years for Lambda November 21st, from the day it was first announced in N. Virginia November 13th, I put together the following table, which tracks AWS services that were announced in and the dates in which they were released in different regions:.
And this table tells you how many days each region has been without a particular service, as of January 5th, Out of this data sample, N. Virginia is the only region where all services are available from day 1.
California days and Singapore days. While all regions have at least 2 Availability Zones, the number of AZs varies by region. Actually N. Virginia is the only region with 6 AZs. Ten regions have 3 Availability Zones and four regions have only 2 Availability Zones. Why does this matter? If you are building an application with strict availability requirements, you should probably stay away from those four regions that only have 2 Availability Zones.
If one AZ in those regions is temporarily unavailable which can happen - for example June 4th, you would be left with only 1 AZ to process all your transactions.
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