MemoryBase

class aws_cdk.aws_bedrock_agentcore_alpha.MemoryBase(scope, id)

Bases: Resource

(experimental) Abstract base class for a Memory.

Contains methods and attributes valid for Memories either created with CDK or imported.

Stability:

experimental

Parameters:
Stability:

experimental

Methods

apply_removal_policy(policy)

Apply the given removal policy to this resource.

The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.

The resource can be deleted (RemovalPolicy.DESTROY), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN).

Parameters:

policy (RemovalPolicy)

Return type:

None

grant(grantee, *actions)

(experimental) Grants IAM actions to the IAM Principal.

Parameters:

  • grantee (IGrantable) –

    • The IAM principal to grant permissions to.

  • actions (str) –

    • The actions to grant.

Return type:

Grant

Returns:

An IAM Grant object representing the granted permissions

Stability:

experimental

grant_admin(grantee)

(experimental) Grant the given principal identity permissions to manage the control plane of this memory.

Parameters:

grantee (IGrantable) –

  • The IAM principal to grant admin permissions to.

Default:

  • Default grant configuration:

  • actions: [‘bedrock-agentcore:CreateMemory’,

‘bedrock-agentcore:GetMemory’, ‘bedrock-agentcore:DeleteMemory’, ‘bedrock-agentcore:UpdateMemory’] on this.memoryArn

Return type:

Grant

Returns:

An IAM Grant object representing the granted permissions

Stability:

experimental

grant_delete(grantee)

(experimental) Grant the given principal identity permissions to delete content on this memory.

Both Short-Term Memory (STM) and Long-Term Memory (LTM).

Parameters:

grantee (IGrantable) –

  • The IAM principal to grant delete permissions to.

Default:

  • Default grant configuration:

  • actions: [‘bedrock-agentcore:DeleteEvent’,

‘bedrock-agentcore:DeleteMemoryRecord’] on this.memoryArn

Return type:

Grant

Returns:

An IAM Grant object representing the granted permissions

Stability:

experimental

grant_delete_long_term_memory(grantee)

(experimental) Grant the given principal identity permissions to delete Long-Term Memory (LTM) content on this memory.

Parameters:

grantee (IGrantable) –

  • The IAM principal to grant delete permissions to.

Default:

  • Default grant configuration:

  • actions: [‘bedrock-agentcore:DeleteMemoryRecord’] on this.memoryArn

Return type:

Grant

Returns:

An IAM Grant object representing the granted permissions

Stability:

experimental

grant_delete_short_term_memory(grantee)

(experimental) Grant the given principal identity permissions to delete Short-Term Memory (STM) content on this memory.

Parameters:

grantee (IGrantable) –

  • The IAM principal to grant delete permissions to.

Default:

  • Default grant configuration:

  • actions: [‘bedrock-agentcore:DeleteEvent’] on this.memoryArn

Return type:

Grant

Returns:

An IAM Grant object representing the granted permissions

Stability:

experimental

grant_full_access(grantee)

(experimental) Grant the given principal identity permissions to do every action on this memory.

Parameters:

grantee (IGrantable) –

  • The IAM principal to grant full access permissions to.

Default:

  • Default grant configuration:

  • actions: [‘bedrock-agentcore:CreateEvent’,

‘bedrock-agentcore:GetEvent’, ‘bedrock-agentcore:DeleteEvent’, ‘bedrock-agentcore:GetMemoryRecord’, ‘bedrock-agentcore:RetrieveMemoryRecords’, ‘bedrock-agentcore:ListMemoryRecords’, ‘bedrock-agentcore:ListActors’, ‘bedrock-agentcore:ListSessions’, ‘bedrock-agentcore:CreateMemory’, ‘bedrock-agentcore:GetMemory’, ‘bedrock-agentcore:DeleteMemory’, ‘bedrock-agentcore:UpdateMemory’] on this.memoryArn

Return type:

Grant

Returns:

An IAM Grant object representing the granted permissions

Stability:

experimental

grant_read(grantee)

(experimental) Grant the given principal identity permissions to read the contents of this memory.

Both Short-Term Memory (STM) and Long-Term Memory (LTM).

Parameters:

grantee (IGrantable) –

  • The IAM principal to grant read permissions to.

Default:

  • Default grant configuration:

  • actions: [‘bedrock-agentcore:GetMemoryRecord’,

‘bedrock-agentcore:RetrieveMemoryRecords’, ‘bedrock-agentcore:ListMemoryRecords’, ‘bedrock-agentcore:ListActors’, ‘bedrock-agentcore:ListSessions] on this.memoryArn

Return type:

Grant

Returns:

An IAM Grant object representing the granted permissions

Stability:

experimental

grant_read_long_term_memory(grantee)

(experimental) Grant the given principal identity permissions to read the Long-Term Memory (LTM) contents of this memory.

Parameters:

grantee (IGrantable) –

  • The IAM principal to grant read permissions to.

Default:

  • Default grant configuration:

  • actions: [‘bedrock-agentcore:GetMemoryRecord’,

‘bedrock-agentcore:RetrieveMemoryRecords’, ‘bedrock-agentcore:ListMemoryRecords’, ‘bedrock-agentcore:ListActors’, ‘bedrock-agentcore:ListSessions’,] on this.memoryArn

Return type:

Grant

Returns:

An IAM Grant object representing the granted permissions

Stability:

experimental

grant_read_short_term_memory(grantee)

(experimental) Grant the given principal identity permissions to read the Short-Term Memory (STM) contents of this memory.

Parameters:

grantee (IGrantable) –

  • The IAM principal to grant read permissions to.

Default:

  • Default grant configuration:

  • actions: [‘bedrock-agentcore:GetEvent’,

‘bedrock-agentcore:ListEvents’, ‘bedrock-agentcore:ListActors’, ‘bedrock-agentcore:ListSessions’,] on this.memoryArn

Return type:

Grant

Returns:

An IAM Grant object representing the granted permissions

Stability:

experimental

grant_write(grantee)

(experimental) Grant the given principal identity permissions to write content to short-term memory.

Parameters:

grantee (IGrantable) –

  • The IAM principal to grant read permissions to.

Default:

  • Default grant configuration:

  • actions: [‘bedrock-agentcore:CreateEvent’] on this.memoryArn

Return type:

Grant

Returns:

An IAM Grant object representing the granted permissions

Stability:

experimental

metric(metric_name, dimensions, *, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Return the given named metric for this memory.

By default, the metric will be calculated as a sum over a period of 5 minutes. You can customize this by using the statistic and period properties.

Parameters:

  • metric_name (str)

  • dimensions (Mapping[str, str])

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID

  • label (Optional[str]) – Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.

  • stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

  • visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_errors_for_api_operation(operation, *, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Return a metric containing the number of errors for a specific API operation performed on this memory.

Parameters:

  • operation (str)

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID

  • label (Optional[str]) –

    Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.

  • stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

  • visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_event_creation_count(*, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Returns the metric containing the number of short-term memory events.

Parameters:

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID

  • label (Optional[str]) –

    Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.

  • stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

  • visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_for_api_operation(metric_name, operation, *, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Return the given named metric related to the API operation performed on this memory.

Parameters:

  • metric_name (str)

  • operation (str)

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID

  • label (Optional[str]) –

    Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.

  • stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

  • visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_invocations_for_api_operation(operation, *, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Return a metric containing the total number of API requests made for a specific memory operation like CreateEvent, ListEvents, RetrieveMemoryRecords …

Parameters:

  • operation (str)

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID

  • label (Optional[str]) –

    Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.

  • stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

  • visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_latency_for_api_operation(operation, *, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Return a metric measuring the latency of a specific API operation performed on this memory.

The latency metric represents the total time elapsed between receiving the request and sending the final response token, measuring complete end-to-end processing time.

For memory creation events specifically, this measures the time from the last CreateEvent that met strategy criteria until memory storage is completed.

Parameters:

  • operation (str)

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID

  • label (Optional[str]) –

    Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.

  • stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

  • visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_memory_record_creation_count(*, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Returns the metric containing the number of long-term memory records created by the long-term extraction strategies.

Parameters:

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID

  • label (Optional[str]) –

    Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.

  • stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

  • visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

to_string()

Returns a string representation of this construct.

Return type:

str

Attributes

created_at

(experimental) Timestamp when the memory was created.

Stability:

experimental

env

The environment this resource belongs to.

For resources that are created and managed in a Stack (those created by creating new class instances like new Role(), new Bucket(), etc.), this is always the same as the environment of the stack they belong to.

For referenced resources (those obtained from referencing methods like Role.fromRoleArn(), Bucket.fromBucketName(), etc.), they might be different than the stack they were imported into.

execution_role

(experimental) The IAM role that provides permissions for the memory to access AWS services.

Stability:

experimental

grant_principal

(experimental) The principal to grant permissions to.

Stability:

experimental

kms_key

(experimental) Custom KMS key for encryption (if provided).

Stability:

experimental

memory_arn

(experimental) The ARN of the memory resource.

Stability:

experimental

memory_id

(experimental) The id of the memory.

Stability:

experimental

node

The tree node.

stack

The stack in which this resource is defined.

status

(experimental) The status of the memory.

Stability:

experimental

updated_at

(experimental) Timestamp when the memory was last updated.

Stability:

experimental

Static Methods

classmethod is_construct(x)

Checks if x is a construct.

Use this method instead of instanceof to properly detect Construct instances, even when the construct library is symlinked.

Explanation: in JavaScript, multiple copies of the constructs library on disk are seen as independent, completely different libraries. As a consequence, the class Construct in each copy of the constructs library is seen as a different class, and an instance of one class will not test as instanceof the other class. npm install will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of the constructs library can be accidentally installed, and instanceof will behave unpredictably. It is safest to avoid using instanceof, and using this type-testing method instead.

Parameters:

x (Any) – Any object.

Return type:

bool

Returns:

true if x is an object created from a class which extends Construct.

classmethod is_owned_resource(construct)

Returns true if the construct was created by CDK, and false otherwise.

Parameters:

construct (IConstruct)

Return type:

bool

classmethod is_resource(construct)

Check whether the given construct is a Resource.

Parameters:

construct (IConstruct)

Return type:

bool