Datadog lambda custom metrics. lambda_function is the default file name in Lambda.

Any metric can be filtered by tag (s) using the from field to the right of the metric. You can also import your existing resources into your Terraform configuration, and reference existing resources Learn how Metrics without Limits™ enables you to collect the full range of your business-critical custom Monitor custom serverless metrics with the Datadog Lambda extension Learn how to create and send custom metrics from your serverless functions to Datadog. py. Interpolation: Fill or set default values. Arithmetic: Perform arithmetic operations. Aug 18, 2023 · so the motive here is to send all types of metric from lambda function to datadog dashboard. Custom metrics help you track your application KPIs, such as the number of visitors, average customer basket size, request latency, or performance distribution for a custom algorithm. The Datadog Lambda extension collects logs through CloudWatch, in addition to traces, enhanced metrics, and custom metrics from the Datadog Lambda Library. A few libraries support both the API and DogStatsD, but most focus on one or the other. The easiest way to get your custom application metrics into Datadog is to send them to DogStatsD, a metrics aggregation service bundled with the Datadog Agent. Installation Follow the installation instructions , and view your function's enhanced metrics, traces and logs in Datadog. Select the desired destination type (Amazon Data Firehose, S3 bucket, or CloudWatch log group) for the logs. Send metrics from your C++ applications to your Datadog account. The Datadog Lambda Java Client Library for Java (8 and 11) enables enhanced lambda metrics and distributed tracing between serverful and serverless environments, as well as letting you send custom metrics to the Datadog API. In this example, I follow the AWS CDK option for instrumenting the Lambda function. With Distributed Tracing, you can connect your serverless traces to metrics for a context-rich picture of your application’s performance. d/ Agent configuration directory. Datadog collects metrics and metadata from all three flavors of Elastic Load Balancers that AWS offers: Application (ALB), Classic (ELB), and Network Load Balancers (NLB). Datadog Serverless Monitoring makes use of a runtime-specific Datadog Lambda Library, in conjunction with the Datadog Lambda extension, to send telemetry from your Lambda functions. It is designed to make web-scale cloud computing easier for developers. If you haven’t already, set up the Amazon Web Services integration first. Skip the step to configure the handler function. Count: Count non-zero or non-null values. Instance. By Resource ( Resource) – View metrics for a version or alias of a function. If your applications and services are instrumented with OpenTelemetry libraries, you can choose how to get traces, metrics, and logs data to the Datadog backend: Ingest data with the Datadog Agent, which collects it for Datadog. Assess the potential impact of code changes on your usage in near real-time. d/ folder in the conf. Users looking for basic functionality have access to OOTB roles with permissions. The Service Level Objectives status page lets you run an advanced search of all SLOs so you can find, view, edit, clone or delete SLOs from the search results. Understand and manage your custom metrics volumes and costs. See details for Datadog's pricing by product, billing unit, and billing period. NET, Java, Node. If a trace is already active (when created by automatic instrumentation, for example), the span is part of the current trace. This does not capture Cold Start metrics, and metric data validation still applies. Send Datadog alert notification events into the event buses of your choice. Older versions of datadog-lambda-java include log4j <= 2. Global distributions instrument logical objects, like services, independently from the underlying hosts. See the dedicated documentation for instrumenting your Go application to send its traces to Datadog. These values must be sent into the grok parser as strings. See the dedicated documentation for collecting . lambda_function is the default file name in Lambda. Jul 10, 2024 · ShouldRetryOnFailure bool // ShouldUseLogForwarder enabled the log forwarding method for sending metrics to Datadog. This observability provider creates custom metrics by flushing metrics to Datadog Lambda extension, or to standard output via Datadog Forwarder. Rate: Calculate a custom derivative over your metric. Click on the AWS account to set up metric streaming. On your Datadog site, go to the Configuration tab of the AWS integration page. See the “Availability” column of each metric table below for details. wrapper import datadog_lambda_wrapper. You can send custom metrics from a Lambda function by generating metrics from logs and traces, using the Datadog Lambda Extension, or using the Datadog Forwarder Lambda. Amazon Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud. Advanced search lets you query SLOs by any combination of SLO attributes: name and description - text search. AWS CDK v1 vs AWS CDK v2 . View tags and volumes for metrics. Install the Datadog CLI client. source = "DataDog/datadog". js and Python Lambda Layers to your functions, so you can simply import the necessary Layer methods into your function code to collect custom metrics (as described in the next The . Note: Ensure the environment variable DD_SITE is set to your region outside of the code, datadoghq. Amazon Managed Streaming for Apache Kafka (MSK) is a fully managed service that makes it easy to build and run applications that use Apache Kafka to process streaming data. StartActive (). This section covers information on configuring your Datadog Agents. The lambda-datadog Terraform module wraps the aws_lambda_function resource and automatically configures your Lambda function for Datadog Serverless Monitoring by: Adding the Datadog Lambda layers; Redirecting the Lambda handler; Enabling the collection and sending of metrics, traces, and logs to Datadog 概要. Amazon Relational Database Service (RDS) is a web service used to setup, operate, and scale a relational database in the cloud. The name of the originating host as defined in metrics. metric import lambda_metric. The metrics endpoint allows you to: Post metrics data so it can be graphed on Datadog’s dashboards. Find the Total Requests Graph and click on the export button on the top right to choose Export to Dashboard. NET custom metrics with DogStatsD. This approach requires the user to set up a custom lambda // function that forwards metrics from cloudwatch to the Datadog api. Developers can quickly add custom business metrics, distributed tracing, and collect logs from Datadog. Service checks. Send OpenTelemetry traces from any OpenTelemetry SDK through the Datadog Lambda Extension. Metrics Explorer - Explore all of your metrics and perform Analytics. Access out-of-the-box dashboards for EC2s, ELBs, S3s, Lambda, and more. required_providers {. If you are using the Lambda extension to collect traces and logs, Datadog automatically adds the AWS Lambda request ID to the aws. Our forwarder function sends data to Datadog asynchronously, without relying on your Lambda functions to make API calls, so you can monitor key business metrics from your serverless functions without adding Metrics without Limits™ provides you with the ability to configure tags on all metric types in-app. This article will explore some key metrics that will help you monitor widely used services like Amazon EC2, EBS, ELB Mar 24, 2022 · AWS has announced support for up to 10 GB of ephemeral storage for Lambda functions, which will enable them to handle new data-intensive workloads. C++ header library to send metrics to your Datadog account. May 24, 2021 · Datadog's AWS Lambda extension allows customers to collect telemetry from serverless applications. Track lambda run Aug 26, 2020 · A lambda receives an event via SQS; The lambda receives a uuid pointing to an entity. In the AWS integration page, ensure that Glue is enabled under the Metric Collection tab. These metrics can be visualized in the Datadog console. from datetime import datetime. For example, datadog-lambda v0. EC2) you want to view metrics for. js to install the Datadog serverless monitoring. Requires Datadog Log Forwarder to be set up. (Step 7. Advanced Filtering - Filter your data to narrow the scope of metrics returned. datadog = {. If there is no current trace, a new one is started. Lambda 関数から Datadog へカスタムメトリクスを送信するにはいくつかの異なる方法があります。 ログまたはトレースからカスタムメトリクスを作成: すでに Lambda 関数からトレースまたはログデータが Datadog に送信されていて、クエリを作成するデータが既存のログまたはトレースに CloudWatch monitoring in one unified platform. Create monitors around your estimated usage based on thresholds of your choosing. Use tags in the Metrics Explorer to filter metrics over tags or display multiple graphs by tag key. (Step 4. With distributed tracing, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM helps ensure the best Open the Metrics page ( AWS/Lambda namespace) of the CloudWatch console. The lambda may fail with an error; SQS will retrial that particular entity several times; The lambda will be called with different entities thousand of times; Right now we monitor a custom error-count metric like myService. Search your metrics by metric name or tag using the Metric or Tag search fields: Tag filtering supports boolean and wildcard syntax so that you can quickly identify: Metrics that are tagged with a particular Custom metrics are user defined and are collected from within the cluster. Fill in the required parameters: ApiKey: Add your Datadog API key. x, and 20. Install The Grok Parser enables you to extract attributes from semi-structured text messages. This feature is in beta. tf file in the terraform_config/ directory with the following content: terraform {. js Lambda functions. Read the Amazon MSK (Agent) page for information about monitoring MSK through the Datadog Agent. Using CloudWatch Metric Streams to send your AWS metrics to Datadog offers up to an 80 percent To create and activate a custom span, use Tracer. LambdaCode: DatadogMetrics. Run the Agent’s status subcommand and look for python under the Checks section to confirm The Datadog Lambda Extension is an AWS Lambda Extension that supports submitting custom metrics, traces, and logs asynchronously while your AWS Lambda function executes. from botocore. カスタムメトリクスは、 メトリクス名とタグ値 (ホストタグを含む) の組み合わせ により、一意に識別されます。. Overlay CloudWatch Logs and CloudTrail events directly on top of CloudWatch metrics. The Datadog trace and log views are connected using the To instrument AWS Lambda with the OpenTelemetry API, set the environment variable DD_TRACE_OTEL_ENABLEDto truein your Lambda function, and see Custom instrumentation with the OpenTelemetry APIfor runtime-specific instructions. Within AWS, set up triggers on your event buses with services like Kinesis, Lambda, and more. 0 matches the content of layer version 5. ). Make sure that the type of facet is Measure, which represents a numerical value: Click Add to start using your custom measure. This approach doesn't have any impact on the performance of your lambda function. lambda_handler. The Datadog Python, Node. Aug 14, 2023 · If you are using the AWS Lambda Web Adapter project, or a middleware with custom metric logic, you can use flush_metrics(). Dans Datadog, les données des métriques sont ingérées et stockées sous forme de points de données avec une valeur et un timestamp : Datadog offers a flexible access management system that allows you to customize the level at which you control access to your Datadog resources. Grok comes with reusable patterns to parse integers, IP addresses, hostnames, etc. Some of these metrics are automatically available through CloudWatch while others need to be extracted from Lambda logs. g. Datadog では、メトリクスデータは値とタイムスタンプを持つデータポイントとして収集され、格納されます。. x, 18. Metrics. Certain standard integrations can also potentially emit custom metrics. excluding text box to remove the corresponding metrics from the monitor scope. Overview. Go to the Flow logs tab. This method will serialize, print metrics available to standard output, and clear in-memory metrics data. Custom Metrics* ** Per 100 custom metrics, per month: Per 100 custom metrics, per Centralize CloudWatch monitoring and collect system-level data for 70+ AWS services. Events. vendored import requests. 一連の Installing and configuring the Datadog Lambda layers for your . 一般に、 DogStatsD または カスタム Agent チェック を使用して送信されるメトリクスはすべて、カスタムメトリクスとなります。. 1 Create pipeline and add processor for attribute. Query metrics from any time period. source: This corresponds to the integration name, the technology from which the log originated. The Metrics Summary page displays a list of your metrics reported to Datadog under a specified time frame: the past hour, day, or week. Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable compute capacity in the cloud. NET integration allows you to collect and monitor your . With Metrics without Limits™, you can configure an allowlist of tags in-app to remain queryable throughout the Datadog platform Submit custom metrics; Collect Profiling data (public beta) Send telemetry over PrivateLink or proxy; Send telemetry to multiple Datadog organizations; Propagate trace context over AWS resources; Merge X-Ray and Datadog traces; Enable AWS Lambda code signing; Migrate to the Datadog Lambda extension; Migrating between x86 to arm64 with the Nov 10, 2022 · In 2021, we partnered with AWS to develop the Datadog Lambda extension which provides a simple, cost-effective way for teams to collect traces, logs, custom metrics, and enhanced metrics from Lambda functions and submit them to Datadog. Creating it manually. To support this launch, Datadog’s Lambda extension now allows you to easily track your new configurations to ensure your functions are well-provisioned and highly performant. Log collection Datadog’s integration with Amazon EventBridge offers the following features: Create custom event buses across your integrated AWS accounts. Managing subscriptions from the Datadog Forwarder to your Lambda function log groups. Unlike histograms which aggregate on the Agent-side, global Mar 31, 2021 · Datadog is proud to partner with AWS for the launch of CloudWatch Metric Streams, a new feature that allows AWS users to forward metrics from key AWS services to different endpoints, including Datadog, via Amazon Data Firehose with low latency. I didn't find any method to send count, rate, gauge, set type of metric Overview. I assume that your lambda python script name is datadog_lambda. If a metric is not submitted from one of the more than 700 Datadog integrations, it is considered a custom metric. 14. You can monitor your CloudWatch API usage using the AWS Billing integration. Learn More. Additionally, Lambda logs for the same request are added under the lambda. About This Session. enhanced, are available at down-to-the-second granularity and in near real time. This enables you to view performance issues in your serverless environments right as they occur and troubleshoot without delay. Metric collection. May 31, 2024 · Custom metrics can be used for tracking statistics in the application domain, instead of measuring performance related to the Lambda function (for example, duration). If you are new to Datadog serverless monitoring, launch the Datadog CLI in the interactive mode to guide your first installation for a quick start, and you can ignore the remaining steps. A single statistic may have multiple dimensions to use for later analysis. Input a query to filter the log stream: The query syntax is the same as for the Log Explorer Search. Defaults to false. Warning: Ensure you dispose of the scope returned from StartActive. js, and Python Lambda functions. Using tags enables you to observe aggregate performance across several hosts and (optionally) narrow the set further based on specific elements. flushMetricsToLogs: true # Enable tracing on Lambda function using dd-trace, Datadog's APM library. With Datadog, you can monitor all your AWS Lambda functions and troubleshoot performance issues in real time with custom metrics, distributed traces, logs, and more. Select the Generate Metrics tab. Follow these steps to configure the function: Set your image’s CMD value to datadog_lambda. See the dedicated documentation for collecting Python custom metrics with DogStatsD. direction LR. Go to “Logs” -> “Generat Metrics” page and click on “Pipeline” tab. Nov 12, 2020 · Datadog’s AWS integration aggregates metrics from across your entire AWS environment in one place and enables you to get full visibility into your highly dynamic services in order to efficiently investigate potential issues. Datadog automatically retrieves corresponding host tags from the matching host in Datadog and applies them to your logs. A custom metric is a single, unique combination of a metric name, host ID and any tags. For information on configuring Datadog integrations, see Integrations. Sorted by: -4. x) enables enhanced Lambda metrics, distributed tracing, and custom metric submission from AWS Lambda functions. Install the Datadog - AWS Glue integration. Click New Timeboard. import os. Datadog Lambda Library for Node. Rank: Select only a subset of metrics. ) Open the Service Catalog and choose the web-store service. Exporting an Analytics query. stateDiagram-v2. Estimated usage metrics enable you to: Graph your estimated usage. Under Metric Collection, click on Automatically Using CloudFormation under CloudWatch Metric Streams to launch a stack in the AWS console. Enable this integration to see in Datadog all your EC2 metrics, and additional events like scheduled maintenances. Centralize CloudWatch monitoring and collect system-level data for 70+ AWS services. Select the All filter to get both accepted and rejected connections. Click +New Metric. time window - 7d, 30d, 90d. Datadog calculates your current estimated usage in near real-time. Since the extension runs in a separate Jun 12, 2023 · 2. You can write parsing rules with the %{MATCHER:EXTRACT:FILTER} syntax: The Go integration allows you to collect and monitor your Go application logs, traces, and custom metrics. Airbrake. js, Ruby It is the quickest way to get started with Datadog’s serverless monitoring. lambda span under the request_id tag. Create a directory to contain the Terraform configuration files, for example: terraform_config/. Modify tag configurations for metrics. Feb 5, 2020 · Lambda emits metrics that enable you to monitor the efficiency of your code, as well as invocations and concurrency. On the Browse tab, under Metrics, choose any of the following dimensions: By Function Name ( FunctionName) – View aggregate metrics for all versions and aliases of a function. See the dedicated documentation for instrumenting your Python application to send its traces to Datadog. Metrics Summary - Understand your actively reporting Datadog metrics. In the AWS console, go to the VPC you want to monitor. In summary, tagging is a method to observe aggregate data points. You must first register the Cluster Agent as the External Metrics Provider. Each custom metric must be published to a namespace, which isolates groups of custom metrics, so often a Custom Metrics Billing. Is it possible with datadog-lambda-js? I explored datadog-lambda-js and find out that we have only sendDistributionMetric & sendDistributionMetricWithDate for sending custom metric. avg by text box to transform the monitor into a multi alert monitor on each tag value. Trace collection. Now teams can efficiently mitigate cold starts by enabling SnapStart for their functions and using Datadog Serverless Monitoring to monitor how the new AWS Lambda feature Metrics. Navigate to the Generate Metrics page. The recommended approach is “Datadog CLI” because you do not need to redeploy the application. If a metric is not submitted from one of the more than 750 Datadog integrations it’s considered a custom metric. Get monitor alerts of spikes or drops in your usage. Datadog gathers the available metrics every 10 minutes for each AWS sub-integration you have installed. Namespaces allow you to specify which service (e. Follow the Custom installation instructions for Python or Node. lambda_handler". Metrics without LimitsTM は、インジェストコストとインデキシングコストを切り離すので、Datadog に全てのデータを送り続けることができ (全てインジェストされます)、Datadog プラットフォームでクエリ可能に残しておきたいタグの許可リストを指定することが Create a facet. Tags are a way of adding dimensions to Datadog telemetries so they can be filtered, aggregated, and compared in Datadog visualizations. & 5. request_id attribute. See the dedicated documentation for collecting Go custom metrics with DogStatsD. Sep 11, 2019 · The Serverless Framework’s aws-nodejs template configuration file configures a hello Lambda function by default. } } Apr 7, 2023 · Datadog automatically tags your Function URL metrics by the AWS Lambda function they trigger, so if any Function URL experiences an issue, you can see which function may be impacted. For container installations, see Container Monitoring. Our extension collects diagnostic data as your Lambda function is invoked—and pushes enhanced Lambda metrics, logs, and traces completely asynchronously to Datadog APM. Click Create flow log. Use the information within the Enable VPC flow log logging. handler. Create a main. import smtplib. For more flexibility, create your own custom roles to combine permissions into new roles. For more information, see Custom metrics and standard integrations. Restart the Agent. 注: Datadog 管理 Install Terraform. Generate Custom Metrics; Connect RUM and Traces; Session Replay. Click on View Dashboard in the success message. A device is a physical sensor comprising one or more single-board computers in a frame. See the dedicated documentation for instrumenting your . We see there is a built in pipeline called “AWS Lambda Apr 14, 2022 · Here's my application code that includes the required modules and the function "wrapper" it mentions to put above my lambda function module. Jan 10, 2018 · CloudWatch collects metrics through the hypervisor from any AWS services you may use in your infrastructure. Apr 5, 2022 · Datadog provides different options to enable instrumentation for your serverless applications such as Datadog CLI, Serverless Framework, AWS SAM, AWS CDK, etc. Enabling the collection of traces and custom metrics from your Lambda functions. Jul 17, 2019 · With Datadog custom metrics for Lambda, you can track the number of signups, conversions, or orders being placed, all in real time. npm install -g @datadog/datadog-ci. Warning. Suivez les instructions d’installation générales de la surveillance sans serveur pour votre runtime Lambda. Feb 5, 2020 · Our enhanced Lambda metrics, which appear in Datadog with the prefix aws. Add a new log-based metric. You can also perform advanced filtering with Boolean or Wildcard tag value filters. Setup Installation. Datadog charges based on the monthly average of unique custom metrics submitted to the Datadog Infrastructure service per hour. Then you need to change your lambda function handler name. Analyze infrastructure performance alongside KPIs from hundreds of tools and services. Default handler name in lambda console is "lambda_function. The latest updates to our Lambda integration, made possible through our strong partnership with AWS, can help you optimize your Provisioned The following table lists Datadog-official and community contributed API and DogStatsD client libraries. View Agora Analytics Collector metrics in Datadog. 10, support for external metrics was introduced to autoscale off any metric from outside the cluster, such as those collected by Datadog. The Agent sets this value automatically. For information on remotely configuring Datadog components, see Remote Configuration. As mentioned in part one of this series, by default CloudWatch publishes metrics at five-minute intervals. If you have a large number of AWS resources for a particular sub-integration (SQS, ELB, DynamoDB, AWS Custom metrics), this can impact your AWS CloudWatch bill. The example below graphs a metric over service:web-store. Note: A graph can only contain a set number of points and as the timeframe over which a metric is viewed increases Agent Configuration. This way, you can correlate any of these events with performance metrics, create monitors for alerting and enrich events at intake with processing pipelines to be queried alongside other standard Configure the Datadog Agent. js (16. Installation Follow the installation instructions , and view your function’s enhanced metrics, traces and logs in Datadog. Once log collection is enabled, set up custom log collection to tail your log files and send them to Datadog by doing the following: Create a python. DogStatsD implements the StatsD protocol and adds a few Datadog-specific extensions: Histogram metric type. from datadog_lambda. NET application to send its traces to Datadog. Now, AWS has updated their Lambda Logs API with the release of the Lambda Telemetry API, which expands the Connect logs and traces. Datadog Application Performance Monitoring (APM) provides deep visibility into your applications, enabling you to identify performance bottlenecks, troubleshoot issues, and optimize your services. Analyze infrastructure performance alongside KPIs from Sep 20, 2017 · A custom Lambda dashboard tracks usage and performance metrics from the Lambda function, as well as metrics from dependencies such as AWS S3 and API Gateway. When using the Metrics Explorer, monitors, or dashboards to query metrics data, you can filter the data to narrow the scope of the timeseries returned. メトリクスは、レイテンシーからエラー率、ユーザーのサインアップまで、環境に関するあらゆる情報を経時的に追跡できる数値です。. You can set this in AWS or directly in your Dockerfile. Setup Metric collection. Les métriques sont des valeurs numériques qui vous permettent de surveiller l’évolution de nombreux éléments de votre environnement (latence, taux d’erreur, inscriptions, etc. As of Kubernetes v1. Log collection Enable logging The Python integration allows you to collect and monitor your Python application logs, traces, and custom metrics. Datadog recommande d’utiliser l’ extension Lambda Datadog pour envoyer des métriques custom depuis des runtimes Lambda compatibles. This guide provides example use cases and includes links to commonly used Datadog resources and data sources in the Terraform registry. DatadogSDK: Datadog SDK. LambdaFn: Your Lambda function. The Datadog Lambda Extension is an AWS Lambda Extension that supports submitting custom metrics, traces, and logs asynchronously while your AWS Lambda function executes. Configure. Enable this integration to see all your RDS metrics in Datadog. lambda. com, or set the variable in the code as follows: There If your Lambda function configuration is incompatible with the Datadog handler redirection, you can apply the Datadog wrapper in your function code instead. This integration uses a crawler that collects metrics from CloudWatch. Regression: Apply a machine learning function. type - metric, monitor. Note that addLayers is set to true—this will configure the plugin to automatically add the Datadog Node. Si vous ne souhaitez pas recueillir de traces depuis votre fonction Lambda, définissez la Nov 28, 2022 · Lambda SnapStart improves startup performance for latency-sensitive Java applications by up to 10 times at no extra cost, and typically without modification to function code. You can also customize aggregations on counts, rates, and gauges without having to re-deploy or change any code. Next, adapt your HPAs to rely on the Installing and configuring the Datadog Lambda library for your Python and Node. Combining relevant metrics from interconnected services into a single dashboard like the one above provides a ready-made starting point for troubleshooting the performance of a serverless May 22, 2021 · 1 Answer. errorType. 5. You can use Terraform to interact with the Datadog API and manage your logs and metrics. You can also create metrics from an Analytics search by selecting the “Generate new metric” option from the Export menu. For some supported languages, you can configure OpenTelemetry instrumented applications to use the Datadog tracing Datadog allows you to send custom events coming from your own custom applications such as custom-built deployment tools or scheduled maintenance jobs. 0 as a transitive dependency. For example, you can set up a multi-alert monitor on the Enable this integration to see all your Glue metrics in Datadog. Create a facet for the custom measure you added to the test by navigating to the Test Runs page and clicking + Add on the facet list. So change the handler to datadog_lambda. Tagging. Docs > Agent > Agent Configuration. A custom metric is uniquely identified by a combination of a metric Jul 31, 2020 · Transform: - AWS::Serverless-2016-10-31 - Name: DatadogCfnMacro Parameters: # Send custom metrics via logs with the help of Datadog Forwarder Lambda function (recommended). Log Note that the minor version of the datadog-lambda package always matches the layer version. Managing subscriptions from the Datadog Forwarder to your Lambda and non-Lambda log groups. Dec 3, 2019 · Serverless monitoring made seamless. Datadog records and charges for the number Jun 12, 2023 · Datadog’s Lambda extension makes it simple and cost-effective to collect detailed monitoring data from your serverless environment. Distributions are a metric type that aggregate values sent from multiple hosts during a flush interval to measure statistical distributions across your entire infrastructure. In the screenshot above, for instance, a timeseries graph shows counts of Function URL 4xx errors grouped by Lambda function. NET application logs, traces, and custom metrics. Exclusion: Exclude certain values of your metric. vi xx kt lu zp wu eg db nv ad