For outbound data, standard outbound data transfer charges depending on the AWS service are still applicable. All the inbound data transferred to AWS over the VPN connection is still free. In this case, we would be charged for each hour that the VPN connection is alive and active. If we need to move data between AWS and our on-premise data center or other public cloud providers and our data is highly sensitive and it needs to be transferred over a secure channel, then we should provision an IPSec Site-to-Site VPN tunnel between the on-premises data center / other cloud provider VPC and our AWS VPC and transfer data securely over the VPN connection. How to minimize costs for data transfer between AWS and on-premise / other public cloud providers Data Transfer over VPN Below chart shows the EC2 outbound data transfer pricing per GB of data, for the us-east-1 (N. Also, the more data we need we need to transfer out from AWS the cheaper is the per gigabyte transfer price. Data transferred out from AWS over the internet is charged differently based on the service and the region from which the data transfer is happening, though the first 100 GB of outbound data aggregate across all AWS services and all AWS regions, is free of cost, each month. How to minimize data transfer between AWS and the internetĪll the data going from outside to AWS over the public internet is not charged by AWS, so we are free to move as much data as we want from outside to AWS over the public internet. It is hard to keep track of all the possible costs, for all the possible destinations of the outgoing traffic. It depends on the destination of the outgoing data. There is a lot of variability when it comes to costs related to data transfers from AWS. It is difficult to isolate what exactly the data transfer costs are related to, whether they are related to Inter availability zone traffic or incoming / outgoing traffic over the Internet or any Region to Region traffic. These tags are used to organize resource costs inside the cost allocation report, to see how much our Test / Production resources are costing us separately and other such grouping of related resource costs.ĭata transfer costs could be related to data that was transferred between multiple AWS resources, hence may not be associated with only a single AWS resource and so are hard to organize and separate using tags and cost allocation tags, like AWS resource usage costs. Tags can either be generated by AWS on resource creation or they can be user-defined.Ĭost allocation tags are a type of tags that can be used to segregate and organize AWS resource costs. Tags are unique key value pairs that can contain information about the tagged AWS resources, information like the user who created the resource, whether the resource belongs to a Test / Production stack, etc. Tags are metadata that can be attached to AWS resources to identify and organize those resources in a better way. Challenges of data transfer pricing and what to look out for Not taggable In the rest of this article we will enumerate all the different AWS Data Transfer charges and what precautions we can take so as to not get bitten with an unexpectedly huge AWS bill. If we ignore the amount of data that is being transferred in, out and between our AWS deployments, then we could very quickly rack up an unexpectedly huge AWS bill due to the amount of data getting transferred and that could mean that our actual AWS bill could end up being way more than our initial estimates. But when we have to run highly complex workloads on AWS, for example when our EC2 instances are going to be spread across multiple availability zones / regions due to high availability needs or the need to run our workloads in the same region as our target users due to compliance requirements, in such cases we need to pay a lot of attention to the amount of data being moved around the different components of our complex workload. People tend to focus on AWS costs for resources like EC2 instance running cost, cost of running their databases using a managed service like RDS, AWS Lambda cost based on lambda function execution time and the lambda memory requirement, DynamoDB read capacity unit (RCU) / write capacity unit (WCU) costs, etc.įor simple workloads where we might provision only a few AWS resources, this would be fine, most of the time and our actual cost of running such workloads on AWS should be close to our initial estimates. I’ve observed that people often ignore so called ‘hidden’ aspects of costs like the amount of data transferred in, out and in between our workload components. I’ve worked on various cloud migration projects, moving workloads from on-premise data centers to AWS and had to estimate the costs of moving and running workloads on AWS.
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