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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