▲ | erulabs 5 days ago | |||||||
In terms of cost, from cheapest to most expensive: 1. Spot with autoscaling to adjust to demand and a savings plan that covers the ~75th percentile scale 2. On-demand with RIs (RIs will definitely die some day) 3. On-demand with savings-plans (More flexible but more expensive than RIs) 3. Spot 4. On-demand I definitely recommend spot instances. If you're greenfielding a new service and you're not tied to AWS, some other providers have hilariously cheap spot markets - see http://spot.rackspace.com/. If you're using AWS, definitely auto-scaling spot with savings plans are the way to go. If you're using Kubernetes, the AWS Karpenter project (https://karpenter.sh/) has mechanisms for determining the cheapest spot price among a set of requirements. Overall tho, in my experience, ec2 is always pretty far down the list of AWS costs. S3, RDS, Redshift, etc wind up being a bigger bill in almost all past-early-stage startups. | ||||||||
▲ | mdaniel 5 days ago | parent [-] | |||||||
To "me, too" this, it's not like that AWS spot instance just go "poof," they do actually warn you (my recollection is 60s in advance of the TerminateInstance call), and so a resiliency plane on top of the workloads (such as the cited Kubernetes) can make that a decided "non-event". Shout out to the reverse uptime crew, a subset of Chaos Engineering | ||||||||
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