Despite all I talk about #aws #ec2, I cannot for the life of me type isntances correctly #fail

looks like I didn't finalize the deploy in January so I had a few extra AMIs kicking around that I was needlessly paying for #aws #cost #fail #automation

The true motivation for getting me to mess with hyperbola today was an instance retirement notification from AWS. I had to muck with poetry to cycle my ASG #fail #aws

I'm speaking at Monitorama on June 4-6. My talk is titled The AWS Billing Machine and Optimizing Cloud Costs. #conference #aws #cost

I'm speaking at DevOpsDays Seattle on April 23. My talk is titled The AWS Billing Machine and Optimizing Cloud Costs. #conference #aws #cost

The most expensive part of hyperbola's #aws infrastructure is the SSM PrivateLink endpoint in 3 AZs #fail #cost

Add in some manual #terraform state edits and deleting things in the #aws console and we're recovered #fail #win

Further #cost optimized my #AWS infra. Saved $3/month by turning off CloudWatch monitoring and making my ASG out of spot instances https://github.com/lopopolo/hyperbola/commit/ffa0e34 #win

#AWS suggested for us to use a snowball to ship our data to a new region. This is an amazing product, but yea no

That was easy! hyperbola running on t3s now. #aws #terraform #win

Saved me $17 a month. My primary #AWS #cost is now my ALB. I'd replace it with an nginx if not for ACM making certs so easy

Sometimes using the #AWS cost and usage reports is just not fun, mostly due to the myriad of columns being undocumented. #fail

That was easy. Enabled #AWS Time Sync by adding one ansible role, reading some docs, and redeploying. #win

Shaved another $35 (40%) off my #AWS bill by disabling the NAT on my app subnets. Yay immutable infrastructure and VPC endpoints #win

The v0.116.0 deploy was done using a spot instance with packer. A bigger instance for half the price #aws

LOL that was only six years ago ... don't let your dreams stay dreams: https://hyperbo.la/lifestream/51/ #aws

Even more cost savings: dynamically provisioned bastion cloudformation stack #terraform #aws

More cost savings. RAM footprint of a hyperbola backend is 143MB. Switch from t2.micro to t2.nano #aws #win

Switch from 3 to 2 backend machines. 1 is enough to handle the load I get, so use the bare minimum for redundancy #aws

Removed dependency on redis by switching to a django-provided database-as-cache adapter. My redis cluster was used only for admin sessions and caching a sidebar on the lifestream page. Unnecessary overhead #aws