Tag Configuration

Learn how to apply settings via cloud provider tags.

Sedai automatically infers resource tags and Kubernetes annotations. These can be used to optionally define feature settings and compute action controls as well as for configuring Infrastructure as Code (IaC) changes.


Features

When you define settings via tags, Sedai considers it an override on settings a resource would otherwise inherit from its parent (such as a group, account, or Kubernetes cluster).

Tags must include the prefix settings.sedai.io followed by a period (.); for example:

settings.sedai.io.optimization.setting.configMode

For feature settings, the accepted keys of MANUAL and AUTO correspond to Recommend Mode and Autonomous Mode respectively.

For Kubernetes workloads, add the prefix settings.sedai.io followed by a slash (/); for example:

settings.sedai.io/optimization.setting.configMode

For feature settings, the accepted keys of MANUAL and AUTO correspond to Recommend Mode and Autonomous Mode respectively.

Optimization

Learn more about optimization settings.

SettingKeyAccepted Key

Optimization Setting

optimization.setting.configMode

OFF, MANUAL, AUTO

Goal

optimization.optimizationFocus.focus

COST, DURATION, COST_AND_DURATION

If goal is to improve performance, the allowed percent increase impact on cost from memory

optimization.optimizationFocus.maxMemoryIncreasePct

Integer between 0-100

If goal is to improve performance, the allowed percent increase impact on cost from CPU

optimization.optimizationFocus.maxCPUIncreasePct

Integer between 0-100

If goal is to reduce cost, the allowed percent increase on latency

optimization.optimizationFocus.maxLatencyIncreasePct

Integer between 0-100

Availability

Learn more about availability settings.

KeyAcceoted Value

availability.configMode

OFF, MANUAL, AUTO

AWS Lambda only

telemetryLogging.enabled

Boolean

Release Intelligence

Learn more about release intelligence settings.

KeyAcceoted Value

releaseIntelligence.configMode

OFF, MANUAL

Compute Actions

The following settings only apply to AWS ECS/Fargate and Kubernetes stateless workloads.

Learn more about container and virtual machine compute actions.

SettingKeyAccepted Value

Vertical Scaling

enableVerticalScaling.enabled

Boolean

↳ Minimum CPU in MiB (optional)

enableVerticalScaling.minCpu

Integer

↳ Minimum memory in GB (optional)

enableVerticalScaling.minMemory

Integer

Horizontal Scaling

enableHorizontalScaling.enabled

Boolean

↳ Minimum replica count (optional) Default is set to 2

enableHorizontalScaling.minReplicas

Integer

↳ Maximum replica count (optional)

enableHorizontalScaling.maxReplicas

Integer

ECS only: Replica increment count (optional)

enableHorizontalScaling.replicaMultiplier

Integer

ECS only: Replica increment count (optional)

enableHorizontalScaling.replicaIncrement

Integer

Auto Scaling (ECS only)

enableServiceAutoscalingConfiguration.enabled

Boolean

Autonomous Action without Traffic

autonomousActionWithoutTraffic.enabled

Boolean

Pre-production/Production

isProd.enabled

Boolean


IaC Configurations

Requires an IaC integration — learn more.

To apply IaC configurations, tags should be formatted with the following prefix:

configs:sedai.io:

For Kubernetes workloads, annotations should be formatted with the prefix:

configs.sedai.io/

For example:

TagExample

default_repo_path

configs:sedai.io:default_repo_path = 412335

variables_file_path

configs:sedai.io:variables_file_path = terraform/prod/prod-sls-1.tfvars

If you use GitLabs, the variables_file_path does not need to include the project name.

For example, if the project name is A and the variables file C is at location A/B/C then you only need to include B/C as the value for variables_file_path.


AWS Lambda

TagExample

memory_size (MB)

configs:sedai:io:memory_size = var.memory_size["prod-sls-1"]

timeout (seconds)

configs:sedai.io:timeout = var.timeout[“prod-sls-1”]

reserved_concurrency

configs:sedai.io:reserved_concurrency = var.reserved_concurrency[“prod-sls-1”]

provisioned_concurrency

configs:sedai.io:provisioned_concurrency = var.provisioned_concurrency[“prod-sls-1”]

AWS ECS

TagExample

task_cpu (units)

configs:sedai.io:task_cpu = var.task_cpu[“prod-app-1”]

task_memory (MiB)

configs:sedai.io:task_memory = var.task_memory[“prod-app-1”]

desired_count

configs:sedai.io:desired_count = var.desired_count[“prod-app-1”]

container.soft_memory (MiB)

configs:sedai.io:container.soft_memory = var.soft_memory[“prod-app-1”]

container.hard_memory (MiB)

configs:sedai.io:container.hard_memory = var.hard_memory[“prod-app-1”]

container.soft_cpu (units)

configs:sedai.io:container.soft_cpu = var.memosoft_cpury_size[“prod-app-1”]

autoscaler_config.as_min_task

configs:sedai.io:autoscaler_config.as_min_task = var.as_min_task[“prod-app-1”]

autoscaler_config.as_max_task

configs:sedai.io:autoscaler_config.as_max_task = var.as_max_task[“prod-app-1”]

autoscaler_config.metric

configs:sedai.io:autoscaler_config.metric = var.metric[“prod-app-1”]

autoscaler_config.target_value

configs:sedai.io:autoscaler_config.target_value = var.target_value[“prod-app-1”]

Kubernetes

AnnotationExample

replica_count

configs.sedai.io/container.replica_count = var.replica_count[“prod-app-1”]

container.cpu_request

configs.sedai.io/container.cpu_request = var.cpu_request[“prod-app-1”]

container.cpu_limit

configs.sedai.io/container.cpu_limit = var.cpu_limit[“prod-app-1”]

container.memory_request

configs.sedai.io/container.memory_request = var.memory_request[“prod-app-1”]

container.memory_limit

configs.sedai.io/container.memory_limit = var.memory_limit[“prod-app-1”]

hpa_min_count

configs.sedai.io/hpa_min_count = var.hpa_min_count[“prod-app-1”]

hpa_max_count

configs.sedai.io/hpa_max_count = var.hpa_max_count[“prod-app-1”]

hpa_metric

configs.sedai.io/hpa_metric = var.hpa_metric[“prod-app-1”]

hpa_target_value

configs.sedai.io/hpa_target_value = var.hpa_target_value[“prod-app-1”]

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