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ci.datadog-api-spec
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Regenerate client from commit 9746098 of spec repo
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lines changed

‎.generator/schemas/v2/openapi.yaml‎

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@@ -47052,6 +47052,88 @@ components:
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description: The name of the reference table.
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type: string
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type: object
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SecurityMonitoringRuleAnomalyDetectionOptions:
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description: Options on anomaly detection method.
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properties:
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bucketDuration:
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$ref: '#/components/schemas/SecurityMonitoringRuleAnomalyDetectionOptionsBucketDuration'
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detectionTolerance:
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$ref: '#/components/schemas/SecurityMonitoringRuleAnomalyDetectionOptionsDetectionTolerance'
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instantaneousBaseline:
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description: If true, attempts to learn the baseline from historical data.
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type: boolean
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learningDuration:
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$ref: '#/components/schemas/SecurityMonitoringRuleAnomalyDetectionOptionsLearningDuration'
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learningPeriodBaseline:
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description: An optional override baseline to apply while the rule is in
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the learning period. Must be greater than or equal to 0.
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format: int64
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minimum: 0
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type: integer
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type: object
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SecurityMonitoringRuleAnomalyDetectionOptionsBucketDuration:
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description: 'Duration in seconds of the time buckets used to aggregate events
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matched by the rule.
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Must be greater than or equal to 300.'
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enum:
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- 300
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- 600
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- 900
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- 1800
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- 3600
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- 10800
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example: 300
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format: int32
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type: integer
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x-enum-varnames:
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- FIVE_MINUTES
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- TEN_MINUTES
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- FIFTEEN_MINUTES
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- THIRTY_MINUTES
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- ONE_HOUR
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- THREE_HOURS
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SecurityMonitoringRuleAnomalyDetectionOptionsDetectionTolerance:
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description: 'An optional parameter that sets how permissive anomaly detection
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is.
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Higher values require higher deviations before triggering a signal.'
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enum:
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- 1
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- 2
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- 3
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- 4
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- 5
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example: 5
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format: int32
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type: integer
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x-enum-varnames:
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- ONE
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- TWO
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- THREE
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- FOUR
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- FIVE
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SecurityMonitoringRuleAnomalyDetectionOptionsLearningDuration:
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description: Learning duration in hours. Anomaly detection waits for at least
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this amount of historical data before it starts evaluating.
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enum:
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- 1
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- 6
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- 12
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- 24
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- 48
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- 168
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- 336
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format: int32
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type: integer
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x-enum-varnames:
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- ONE_HOUR
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- SIX_HOURS
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- TWELVE_HOURS
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- ONE_DAY
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- TWO_DAYS
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- ONE_WEEK
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- TWO_WEEKS
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SecurityMonitoringRuleCase:
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description: Case when signal is generated.
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properties:
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SecurityMonitoringRuleOptions:
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description: Options.
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properties:
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anomalyDetectionOptions:
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$ref: '#/components/schemas/SecurityMonitoringRuleAnomalyDetectionOptions'
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complianceRuleOptions:
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$ref: '#/components/schemas/CloudConfigurationComplianceRuleOptions'
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decreaseCriticalityBasedOnEnv:
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ThreatHuntingJobOptions:
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description: Job options.
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properties:
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anomalyDetectionOptions:
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$ref: '#/components/schemas/SecurityMonitoringRuleAnomalyDetectionOptions'
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detectionMethod:
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$ref: '#/components/schemas/SecurityMonitoringRuleDetectionMethod'
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evaluationWindow:
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- us3.datadoghq.com
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- us5.datadoghq.com
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- ap1.datadoghq.com
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- ap2.datadoghq.com
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- datadoghq.eu
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- ddog-gov.com
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subdomain:

‎examples/v2/security-monitoring/CreateSecurityMonitoringRule_2323193894.java‎

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// Create a detection rule with detection method 'anomaly_detection' returns "OK" response
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import com.datadog.api.client.ApiClient;
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import com.datadog.api.client.ApiException;
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import com.datadog.api.client.v2.api.SecurityMonitoringApi;
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import com.datadog.api.client.v2.model.SecurityMonitoringRuleAnomalyDetectionOptions;
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import com.datadog.api.client.v2.model.SecurityMonitoringRuleAnomalyDetectionOptionsBucketDuration;
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import com.datadog.api.client.v2.model.SecurityMonitoringRuleAnomalyDetectionOptionsDetectionTolerance;
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import com.datadog.api.client.v2.model.SecurityMonitoringRuleAnomalyDetectionOptionsLearningDuration;
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import com.datadog.api.client.v2.model.SecurityMonitoringRuleCaseCreate;
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import com.datadog.api.client.v2.model.SecurityMonitoringRuleCreatePayload;
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import com.datadog.api.client.v2.model.SecurityMonitoringRuleDetectionMethod;
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import com.datadog.api.client.v2.model.SecurityMonitoringRuleEvaluationWindow;
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import com.datadog.api.client.v2.model.SecurityMonitoringRuleKeepAlive;
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import com.datadog.api.client.v2.model.SecurityMonitoringRuleMaxSignalDuration;
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import com.datadog.api.client.v2.model.SecurityMonitoringRuleOptions;
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import com.datadog.api.client.v2.model.SecurityMonitoringRuleQueryAggregation;
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import com.datadog.api.client.v2.model.SecurityMonitoringRuleResponse;
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import com.datadog.api.client.v2.model.SecurityMonitoringRuleSeverity;
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import com.datadog.api.client.v2.model.SecurityMonitoringRuleTypeCreate;
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import com.datadog.api.client.v2.model.SecurityMonitoringStandardDataSource;
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import com.datadog.api.client.v2.model.SecurityMonitoringStandardRuleCreatePayload;
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import com.datadog.api.client.v2.model.SecurityMonitoringStandardRuleQuery;
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import java.util.Arrays;
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import java.util.Collections;
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public class Example {
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public static void main(String[] args) {
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ApiClient defaultClient = ApiClient.getDefaultApiClient();
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SecurityMonitoringApi apiInstance = new SecurityMonitoringApi(defaultClient);
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SecurityMonitoringRuleCreatePayload body =
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new SecurityMonitoringRuleCreatePayload(
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new SecurityMonitoringStandardRuleCreatePayload()
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.name("Example-Security-Monitoring")
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.type(SecurityMonitoringRuleTypeCreate.LOG_DETECTION)
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.isEnabled(true)
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.queries(
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Collections.singletonList(
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new SecurityMonitoringStandardRuleQuery()
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.aggregation(SecurityMonitoringRuleQueryAggregation.COUNT)
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.dataSource(SecurityMonitoringStandardDataSource.LOGS)
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.groupByFields(Arrays.asList("@usr.email", "@network.client.ip"))
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.hasOptionalGroupByFields(false)
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.name("")
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.query("service:app status:error")))
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.cases(
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Collections.singletonList(
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new SecurityMonitoringRuleCaseCreate()
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.name("")
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.status(SecurityMonitoringRuleSeverity.INFO)
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.condition("a > 0.995")))
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.message("An anomaly detection rule")
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.options(
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new SecurityMonitoringRuleOptions()
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.detectionMethod(SecurityMonitoringRuleDetectionMethod.ANOMALY_DETECTION)
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.evaluationWindow(SecurityMonitoringRuleEvaluationWindow.FIFTEEN_MINUTES)
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.keepAlive(SecurityMonitoringRuleKeepAlive.ONE_HOUR)
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.maxSignalDuration(SecurityMonitoringRuleMaxSignalDuration.ONE_DAY)
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.anomalyDetectionOptions(
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new SecurityMonitoringRuleAnomalyDetectionOptions()
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.bucketDuration(
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SecurityMonitoringRuleAnomalyDetectionOptionsBucketDuration
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.FIVE_MINUTES)
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.learningDuration(
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SecurityMonitoringRuleAnomalyDetectionOptionsLearningDuration
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.ONE_DAY)
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.instantaneousBaseline(false)
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.detectionTolerance(
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SecurityMonitoringRuleAnomalyDetectionOptionsDetectionTolerance
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.THREE)
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.learningPeriodBaseline(10L))));
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try {
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SecurityMonitoringRuleResponse result = apiInstance.createSecurityMonitoringRule(body);
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System.out.println(result);
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} catch (ApiException e) {
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System.err.println(
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"Exception when calling SecurityMonitoringApi#createSecurityMonitoringRule");
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System.err.println("Status code: " + e.getCode());
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System.err.println("Reason: " + e.getResponseBody());
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System.err.println("Response headers: " + e.getResponseHeaders());
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e.printStackTrace();
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}
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}
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}

‎src/main/java/com/datadog/api/client/ApiClient.java‎

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@@ -300,6 +300,7 @@ public class ApiClient {
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"us3.datadoghq.com",
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"us5.datadoghq.com",
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"ap1.datadoghq.com",
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"ap2.datadoghq.com",
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"datadoghq.eu",
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"ddog-gov.com"))));
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put(

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