Curious, interested in understanding how customers make decisions and applying gained insights to improve how EC2 meets & serves customers.Creative, bringing an imaginative perspective when confronted with challenging problems.
Candidates who are a strong fit for the role are: As a member of our team, you will be presented with opportunities to add value through research and developing methodologies & frameworks as you contribute towards launching and steering some of AWS’ largest initiatives, gaining frequent exposure to senior leaders across AWS. Our space is fast growing and relatively under-explored from an economic viewpoint with a variety of open questions still standing.
In this role you will collaborate with other Economists as well as Product Managers, Data Scientists, Engineers, and other specialists as you work at the intersection of causal inference and empirical IO to further EC2’s growth. We don’t expect you to be an expert in EC2 or cloud computing but we do expect you to be naturally curious and excited to learn about them. Our group is responsible for EC2’s global pricing-positioning strategy and has influence over product strategy and go-to market actions. The EC2 Pricing & Economics group is looking for an Economist to join our cross-functional team of Economists and Product Managers. Instead of paying for an EC2 instance, and having to start and stop it between uses you can just ask AWS Fargate to run your container when you need to, and stop paying when your container stops.Job summary Amazon’s Elastic Compute Cloud (EC2) enables customers of all sizes to run their applications on our industry leading cloud infrastructure. If your workload consists of periodic tasks, such as a cron job that runs once an hour, or occasional jobs that come from a queue then AWS Fargate is a perfect fit. It’s generally wasteful to run a tiny test environment on an EC2 instance because the EC2 instance is too powerful, and you will have a hard time getting a good percentage of utilization. Tiny workloadįor a small test environment AWS Fargate is a perfect fit. You can scale down to one tiny container at night, costing very little, but still scale up during the day, while only paying for the CPU cores, and gigabytes of memory that your task requires. If your workload is small with the occasional burst, such as a website that has traffic during the day but low traffic at night, then AWS Fargate is a fantastic choice. For example when the Spectre / Meltdown vulnerability was announced customers that were running on EC2 had to make sure they patched and upgraded, while customers running AWS Fargate were protected automatically behind the scenes by AWS engineers who patched the underlying infrastructure. If you don’t want to deal with any of this overhead AWS Fargate can be a great choice. You need to make sure they are all patched, secure, and updated to the latest version of Docker and the ECS agent. Managing a large cluster of EC2 instances can be somewhat hard. Large workload, optimized for low overhead
You will be responsible for maintaining this cluster and optimizing it, but you will be able to take advantage of EC2 instance saving strategies such as spot instances or reserved instances. If your workload has a consistent demand for many CPU cores and many gigabytes of memory, and you want to optimize for price you should consider running a cluster of reserved EC2 instances, or spot instances. Use Cases Large workload, optimized for price You only ever pay for what your task uses, no more paying for EC2 capacity that goes unused. With the AWS Fargate launch type billing is based on how many CPU cores, and gigabytes of memory your task requires, per second. However, it is your responsibility to make sure that your containers are densely packed onto instances to get the best use out of them, otherwise you will be wasting money. This allows you to optimize price by taking advantage of billing models such as spot instances (bid a low price for an instance), or reserved instances (get a flat discount for committing to an instance for a certain time period). With the EC2 launch type billing is based on the cost of the underlying EC2 instances. Which one you pick primarily depends on which factors you want to optimize for. AWS Fargate (Run containers directly, without any EC2 instances)īoth are completely valid techniques for operating your containers in a scalable and reliable fashion.EC2 (Deploy and manage your own cluster of EC2 instances for running the containers).There are two major models for how to run your containers on AWS:
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