jm + auto-scaling   7

Auto Scaling for EC2 Spot Fleets
'we are enhancing the Spot Fleet model with the addition of Auto Scaling. You can now arrange to scale your fleet up and down based on a Amazon CloudWatch metric. The metric can originate from an AWS service such as EC2, Amazon EC2 Container Service, or Amazon Simple Queue Service (SQS). Alternatively, your application can publish a custom metric and you can use it to drive the automated scaling.'
asg  auto-scaling  ec2  spot-fleets  ops  scaling 
september 2016 by jm
Leveraging AWS to Build a Scalable Data Pipeline
Nice detailed description of an auto-scaled SQS worker pool
sqs  aws  ec2  auto-scaling  asg  worker-pools  architecture  scalability 
june 2015 by jm
Avoiding Chef-Suck with Auto Scaling Groups - forty9ten
Some common problems which arise using Chef with ASGs in EC2, and how these guys avoided it -- they stopped using Chef for service provisioning, and instead baked AMIs when a new version was released. ASGs using pre-baked AMIs definitely works well so this makes good sense IMO.
infrastructure  chef  ops  asg  auto-scaling  ec2  provisioning  deployment 
september 2014 by jm
Using spot instances
Excellent post on all of the ins and outs of EC2 spot instance usage
ec2  aws  spot-instances  pricing  cloud  auto-scaling  ops 
september 2014 by jm
On-Demand Jenkins Slaves With Amazon EC2
This is very likely where we'll be going for our acceptance tests in Swrve
testing  jenkins  ec2  spot-instances  scalability  auto-scaling  ops  build 
august 2014 by jm
Scryer: Netflix’s Predictive Auto Scaling Engine
Scryer is a new system that allows us to provision the right number of AWS instances needed to handle the traffic of our customers. But Scryer is different from Amazon Auto Scaling (AAS), which reacts to real-time metrics and adjusts instance counts accordingly. Rather, Scryer predicts what the needs will be prior to the time of need and provisions the instances based on those predictions.
scaling  infrastructure  aws  ec2  netflix  scryer  auto-scaling  aas  metrics  prediction  spikes 
november 2013 by jm

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