ice

Here's the list pricing. Pretty expensive, but in our case it saves a lot more than it costs. https://aws.amazon.com/marketplace/pp/Cloudability-Apptio-Cl... Edit: Have never tried it, but this open source "Ice" tool looks like it might be useful for smaller shops: https://github.com/Teevity/ice

we have a lot of projects, and i use OUs to track the N-ary tree of lab->project->people and their spends. since the aws billing subsystem can't map OU->$$$, i wrote a thing: https://github.com/ucbrise/aws-audit it'd be also super awesome to have OU-based budgets. we use teevity ice when we really need to dig deep (https://github.com/Teevity/ice) but it's pretty much abandonware at this point. i've also explored a couple of commercial offerings (ronin & teevity) but they don't work well in our AWS research credit-based model.

Tactically: spot instances, reserved instances, auto-scaling groups, deleting data that we didn't need. Strategically: I've only ever see it work by making it somebody's job to save money on Amazon, ahead of feature velocity. Find a tool that analyses where you're spending [0], pick the biggest bucket of spend you don't really understand, and drill down until you're sick of looking at it. Make some optimizations around how you're spending that money, rinse, repeat. Every org I know has done a first pass that's pretty effective, where you buy a bunch of reserved instances for the compute power you need. A couple of the companies I've worked with stalled out at that point. The others figured out real cost / benefit models for real projects and did things like move data from S3 to Glacier, or from hosted MySQL to RDS, or from Cassandra to Dy

Looks like it's already been done, at least for AWS, based on a few Google results (not that I've used/tested any of these): https://github.com/Teevity/ice https://billgist.com/ http://cloudcheckr.com/

The solution is one account per team https://stups.io/why Installing ICE to see costs in detail https://github.com/Netflix/ice

Netflix ICE has a few quirks but overall it's a pretty useful free tool. Unfortunately, the project has been largely abandoned and the current version in the Netflix GitHub repository won't work out of the box for many companies due to lack of support for new AWS regions, instances, reservation types, and services, as well as showstopping bugs (such as https://github.com/Netflix/ice/issues/210). In order to effectively use ICE today most users will need to maintain their own patched fork. I'm currently campaigning to create a community-maintained version of ICE, with committers from multiple organizations, in order to revive the project: https://github.com/Netflix/ice/issues/240#issuecomment-29960...

You might be interested in netflix's opensource solution ice ( https://github.com/Netflix/ice ) It's been very helpful to notice and track down extra costs as they come in

Aside from several other companies offering AWS cost analysis as a service, there is also Netflix ice (https://github.com/Netflix/ice) if one wants an open-source, self-hosted solution. AWS also published a quick guide how to get the billing data into Redshift and use Quicksight to analyze it: https://aws.amazon.com/de/blogs/aws/new-upload-aws-cost-usag...

https://github.com/Netflix/ice looks pretty good. But you have to pay $780 for the highstock license to use it. Anyone has a free alternative to this?

Netflix Ice (https://github.com/Netflix/ice) looks amazing. Going to setup tomorrow using the docker image (https://github.com/jonbrouse/docker-ice) and Amazon EC2 Container Service.

> One utility in general that’s provided us with an easy way to slice up and investigate our AWS spending is the awesome Asgard. The tool they're actually referring to is Ice (also by netflix) [1]. Asgard is another AWS-based tool for managing deployments and auto-scaling. [1] https://github.com/Netflix/ice