- Getting started
- You will need credentials to an AWS account able to start CloudFormation stacks.
- Some of the following steps assume you have the AWS cli tool installed, but the setup can also be done manually using the AWS console or using other tools able to launch CloudFormation stacks and set tags on AutoScaling groups.
Autospotting can be installed via Cloudformation or Terraform, both install methods take a number of parameters, which allows you to configure it for your own environment. The defaults should be safe enough for most use cases, but for testing or more advanced use cases you may want to tweak some of them.
Some parameters control the Lambda runtime, while others allow tweaking the AutoSpotting algorithm, for example to keep a certain amount of on-demand capacity in the group, or run only against some AWS regions.
The algorithm parameters are just global defaults that can often be overridden at the AutoScaling group level based on additional tags set on the group.
The full list of parameters, including relatively detailed explanations about them and their overriding group tags can be seen in the CloudFormation AWS console or in the variables.tf file.
In case you may want to change some of them later, you can do it at any time by updating the stack via Cloudformation or Terraform.
Note: even though the Cloudformation stack template is not changing so often and it may often support multiple software versions, due to possible compatibility issues, it is recommended to also update the stack template when updating the software version.
To install it via cloudformation, you only need to launch a CloudFormation stack in your account. Click the button below and follow the launch wizard to completion, you can safely use the default stack parameters.
If you are using the AWS command-line tool, you can use this command instead:
aws cloudformation create-stack \
--stack-name AutoSpotting \
--template-url https://s3.amazonaws.com/cloudprowess/nightly/template.json \
--capabilities CAPABILITY_IAM
Notes:
- For technical reasons the stack needs to be launched in the US-East-1(Virginia) region, so make sure it's not created in another region.
- The AutoScaling groups it runs against can be in any region, since all regions are processed at runtime, unless configured otherwise.
To install it via terraform, you need to have terraform installed on your machine. If you are only using autospotting as such, you can install the stack by doing:
cd terraform/
terraform get # in order for terraform to get the module
export AWS_DEFAULT_REGION=XXXX
export AWS_ACCESS_KEY_ID=XXXX
export AWS_SECRET_ACCESS_KEY=XXXX
terraform apply
To use custom parameters, please refer to the variables.tf in terraform/.
Here is an example modifying both autospotting and lambda configuration:
terraform apply \
-var asg_regions_enabled="eu*,us*" \
-var asg_min_on_demand_percentage="33.3" \
-var lambda_memory_size=1024If you are using autospotting integrated to your infrastructure, then you can use the module directly:
module "autospotting" {
source = "github.com/cristim/autospotting/terraform/autospotting"
autospotting_min_on_demand_number = "0"
autospotting_min_on_demand_percentage = "50.0"
autospotting_regions_enabled = "eu*,us*"
lambda_zipname = "./lambda.zip"
lambda_runtime = "python2.7"
lambda_memory_size = "256"
lambda_timeout = "300"
lambda_run_frequency = "rate(5 minutes)"
}
The lambda.zip file can be generated by building it locally using
make prepare_upload_data(look for it in the build directory) but you'll need
to set up your local development environment.
Instead, you can also download the latest official nightly build available here.
Note: Apart from AWS variable, no variables are required. The module can be run as such, and would function. But you might want to tweak at least the default on-demand values and/or the regions in which autospotting runs. The extra parameters can also be overridden to suit your needs.
Since AutoSpotting uses an opt-in model, no resources will be changed in your AWS account if you just launch the stack. You will need to explicitly enable it for each AutoScaling group where you want it to be used.
Enabling it for an AutoScaling group is a matter of setting a tag on the group:
Key: spot-enabled
Value: true
This can be configured with the AWS console from this view,
If you use the AWS command-line tools, the same can be achieved using this command:
aws autoscaling
--region eu-west-1 \
create-or-update-tags \
--tags ResourceId=my-auto-scaling-group,ResourceType=auto-scaling-group,Key=spot-enabled,Value=true,PropagateAtLaunch=false
Note: the above instructions use the eu-west-1 AWS region as an example. Depending on where your groups are defined, you may need to use a different region, since as mentioned before, your environments may be located anywhere.
This needs to be done for every single AutoScaling group where you want it enabled, otherwise the group is ignored. If you have lots of groups you may want to script it in some way.
One good way to automate is using CloudFormation, using this example snippet:
"MyAutoScalingGroup": {
"Properties": {
"Tags":[
{
"Key": "spot-enabled",
"Value": "true",
"PropagateAtLaunch": false
}
]
}
}
- In order to add tags to existing Elastic Beanstalk environment, you will need to rebuild the environment with the spot-enabled tag. Follow this guide
Normally AutoSPotting runs from AWS Lambda, but for testing purposes it can also be compiled and executed locally as a command-line tool, which can be very useful for implementing and testing new functionality.
The algorithm can use custom command-line flags. Much like many other
command-line tools, you can use the -h command line flag to see all the
available options:
$ ./autospotting -h
Usage of ./autospotting:
-min_on_demand_number=0: On-demand capacity (as absolute number) ensured to be
running in each of your groups.
Can be overridden on a per-group basis using the tag autospotting_on_demand_number
-min_on_demand_percentage=0: On-demand capacity (percentage of the total number
of instances in the group) ensured to be running in each of your groups.
Can be overridden on a per-group basis using the tag autospotting_on_demand_percentage
It is ignored if min_on_demand_number is also set.
-regions="": Regions where it should be activated (comma or whitespace separated
list, also supports globs), by default it runs on all regions.
Example: ./autospotting -regions 'eu-*,us-east-1'
The value of -min_on_demand_number has a higher priority than
-min_on_demand_percentage, so if you specify both options in the command line,
percentage will NOT be taken into account. It would be taken into account, ONLY
if the -min_on_demand_number is invalid (negative, above the max number, etc).
The value of -regions controls the scope within which autospotting run, this
is particularly useful when used during testing, in order to limit the scope of
action and reduce the risk when evaluating it or experimenting with new
functionality.
All the flags are also exposed as environment variables, expected in ALL_CAPS.
For example using the -region command-line flag is equivalent to using the
REGION environment variable.
Note: These configurations are also implemented when running from Lambda, where they are actually passed as environment variables set by CloudFormation in the Lambda function's configuration.
On top of the CLI configuration for the on-demand instances, autospotting
can read those values from the tags of the auto-scaling groups. There are two
available tags: autospotting_on_demand_number and
autospotting_on_demand_percentage.
Just like for the CLI configuration the defined number has a higher priority
than the percentage value. So the percentage will be ignored if
autospotting_on_demand_number is present and valid.
The order of priority from strongest to lowest for minimum on-demand configuration is as following:
- Tag
autospotting_on_demand_numberin ASG - Tag
autospotting_on_demand_percentagein ASG - Option
-min_on_demand_numberin CLI - Option
-min_on_demand_percentagein CLI
Note: the percentage does round up values. Therefore if we have for example
3 instances running in an autoscaling-group, and you specify 10%, autospotting
will understand that you want 0 instances. If you specify 16%, then it will
still understand that you want 0 instances, because 0.16 * 3 is equal to
0.47999 so it is rounded down to 0; but if you specify 17%
(or more than 16.66667%) then the algorithm understands that you want at least
one instance (0.17 * 3 = 0.51). All in all it should work as you expect, but
this was just to explain some more the functionning of the percentage's math.
The software doesn't auto-update anymore(it used to in the first few versions), so you will need to manually perform updates using CloudFormation, based on the Travis CI build number of the version you would like to use going forward.
This method can be used both for upgrades and downgrades, so assuming you would
like to switch to the build with the number 45, you will need to perform a
CloudFormation stack update in which you change the "LambdaZipPath" stack
parameter to a value that looks like nightly/lambda_build_45.zip.
Git commit SHAs(truncated to 7 characters) are also accepted instead of the
build numbers, so for example nightly/lambda_build_f7f395d.zip should also be
a valid parameter, as long as that build is available in the author's S3 bucket.
The full list of the objects available in the bucket can be seen here.
The full list of TravisCI builds and their respective git commits can be seen on the Travis CI builds page
- As of build 79 the CloudFormation template is also versioned for every subsequent build, but unfortunately this build also breaks compatibility with older stacks. If you run an older build you will also need to update the stack when updating to a build later than 79. Although the template rarely changes, it's recommended that you always keep it at the same build as the binary. Make sure you use the following stack parameter on any newer builds:
LambdaHandlerFunction: handler.Handle
If at some point you want to uninstall it, the AutoScaling groups where it used to be enabled will keep running until their spot instances eventually get outbid and terminated, then replaced by AutoScaling with on-demand ones. This is eventually bringing the group to the initial state. If you want, you can speed up the process by gradually terminating the spot instances yourself.
The tags set on the group can be deleted at any time you want it to be disabled for that group.
You just need to delete the CloudFormation stack:
aws cloudformation delete-stack --stack-name AutoSpotting
You just need to delete the elements via terraform:
cd terraform/
echo "yes" | terraform destroy