This page describes the Optimization Pack for AWS Lambda.
aws_lambda_duration
seconds
The duration of an AWS Lambda function execution
aws_lambda_memory_size
megabytes
The memory size allocated for an AWS Lambda function
aws_lambda_cost
dollars
The elaboration cost of an AWS Lambda function
aws_lambda_reserved_concurrency
instances
The maximum number of concurrent instances for an AWS Lambda function
aws_lambda_provisioned_concurrency
instances
The number of prepared environments for an AWS Lambda function
aws_lambda_memory_size
integer
128
128 → 10240
no
The memory size allocated for an AWS Lambda function
aws_lambda_reserved_concurrency
integer
100
0→ 1000
no
The maximum number of concurrent instances for an AWS Lambda function
aws_lambda_provisioned_concurrency
integer
0
0→100
no
The number of prepared environments for an AWS Lambda function
This page describes the Optimization Pack for AWS EC2.
cpu_util
percent
The average CPU utilization % across all the CPUs (i.e., how much time on average the CPUs are busy doing work)
network_in_bytes_details
bytes/s
The number of inbound network packets in bytes per second broken down by network device (e.g., wlp4s0)
network_out_bytes_details
bytes/s
The number of outbound network packets in bytes per second broken down by network device (e.g., eth01)
disk_read_bytes
bytes/s
The number of bytes per second read across all disks
disk_write_bytes
bytes/s
The number of bytes per second written across all disks
aws_ec2_disk_iops_reads
ops/s
The per second average number of EBS IO disk-read operations summed across all disks
aws_ec2_disk_iops_writes
ops/s
The per second average number of EBS IO disk-write operations summed across all disks
aws_ec2_disk_iops
ops/s
The per second average number of EBS IO disk operations summed across all disks
aws_ec2_credits_cpu_available
credits
The number of earned CPU credits that an instance has accrued since it was launched or started. Credits are accrued in the credit balance after they are earned, and removed from the credit balance when they are spent
aws_ec2_credits_cpu_used
credits
The number of CPU credits spent by the instance for CPU utilization
aws_ec2_ebs_credits_io_util
percent
The percentage of I/O credits remaining in the burst bucket
aws_ec2_ebs_credits_bytes_util
percent
The percentage of throughput credits remaining in the burst bucket
aws_ec2_price
dollars
AWS EC2 hourly instance price (on-demand)
Notice: for the following parameters to take effect, the instance needs to be stopped and changes need to be applied before restarting the instance.
aws_ec2_instance_type
Categorical
m5
c5
,c5d
,c5a
,c6g
,c6gd
,c6gd
,
r5
,r5d
,r5a
,r5ad
,r6g
,r6gd
,
m5
,m5d
,m5a
,m5ad
,m6g
,m6gd
,
t3
,t3a
,
a1
,z1d
yes
Instance types comprise varying combinations of CPU, memory, storage, and networking capacity, optimized to fit different use cases
aws_ec2_instance_size
Ordinal
large
nano
, micro
,small
,medium
,large
,
xlarge
,2xlarge
,4xlarge
,8xlarge
,
9xlarge
,12xlarge
,16xlarge
, 18xlarge
,24xlarge
yes
The following table shows a sample of constraints that are required in the definition of the study, depending on the tuned parameters.
Notice that AWS does not support all combinations of instance types and sizes, so it is better to specify them beforehand in your constraints to avoid unnecessary experiment failures.
Instance size is an ordinal parameter, this means you constraint it by using a 0-based index, as in this example:
aws.aws_ec2_instance_type === "c5" && (aws.aws_ec2_instance_size === 0 || aws.aws_ec2_instance_size === 2) || aws.aws_ec2_instance_size === "m5" && (aws.aws_ec2_instance_size === 0 || aws.aws_ec2_instance_size === 1)
Domain of aws_ec2_instance_size here is: [4xlarge, 8xlarge, 9xlarge]. Since "c5" instance type does not support 8xlarge instance size, and "m5" instance family does not support the 9xlarge one, this option is enforced with a constraint that allows only c5.4xlarge, c5.9xlarge, m5.4xlarge, and m5.8xlarge configurations