Click Import from JSON at the top of the page. The default sort for logs in the list visualization is by timestamp, with the most recent logs on top. The container count is averaged across your entire infrastructure. count metric to: Create a view of the number of Virtual Machines broken out by their status over time by graphing azure. That list has grown a lot more useful with the introduction of 3 additional metrics announced this week: BackendConnectionErrors, SurgeQueueLength With the Options button, control the number of lines displayed in the table per log. Caches, such as size, hits, and misses. Aug 26, 2021 · In the following example, we’ll show you how to start tracing a Django app that uses PostgreSQL as its database. Indexes are located on the Configuration page in the Indexes section. count The metric is not tagged with host anymore. on two consecutive nights, which indicates that someone may have been running Datadog の Azure インテグレーションは、Azure Monitor からすべてのメトリクスを収集するように構築されています。 Datadog では継続的にドキュメントを更新してすべてのサブインテグレーションを表示できるように努めていますが、新しいメトリクスやサービスがクラウドサービスから次々に Overview. Datadog の サービス詳細画面 を参照してください。. 1. Collect, visualize, and alert on Kubernetes metrics in minutes with Datadog. Note: Users with the Invite User permission can invite a user to any role they have themselves. Make sure your CloudWatch Group name starts with api-gateway. You can accomplish the following: Datadog records the number of task instances you are monitoring in the Datadog APM service at five-minute intervals. Maximum array size if sending multiple logs in an array: 1000 entries. 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. Select Timeseries under Graphs. For example, if you’ve specified to notify on 1 critical, 3 ok, and 2 warn statuses, count should be at least 3. Click New Timeboard. Note: This check has a limit of 350 metrics per instance. Correlate the performance of your SQL Database with your applications. It can be called multiple times during a check’s execution, each sample being added to the value that is sent. Click an option to add it to your notification. The API uses resource-oriented URLs to call the API, uses status codes to indicate the success or failure of requests, returns JSON from all requests, and uses standard HTTP response codes. Get metrics from Azure SQL Database to: Visualize the performance of your SQL Database. Part 2 explains how to collect its metrics, and Part 3 shows you how Datadog can help you monitor ELB. List view. Click on an aggregate value to open the log pattern’s side panel and see more details Join Our Pack. maximum (count) The maximum number of producers for the destination. Additional containers are billed at an additional cost per container per hour. It is also possible to search for numerical attributes within a specific range. sum (count) The sum number of transactions in progress. Indexes. waiting and kubernetes_state. Using this function, you can set the rollup time interval to a different value than the defaults, up to a limit of 1500 points. Process Count, in this case, refers to the number of all matching processes that were alive during the time interval. Click on View Dashboard in the success message. count. Use the Datadog Azure integration to collect metrics from the Azure App Service Plan. Aligning with the Istio architecture, there is the data plane(the istio-proxysidecar containers) and the control plane(the istiodservice managing the proxies). 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). Sample count of the total amount of backup storage consumed by all snapshots for a given cluster outside its backup retention window. Quickly investigate and get to the bottom of performance issues. Apr 6, 2016 · A properly functioning Kafka cluster can handle a significant amount of data. Try Datadog for 14 days and learn how seamlessly uniting metrics, traces, and logs in one platform improves agility, increases efficiency, and provides end-to-end visibility across your entire stack. Azure App Service is a platform-as-a-service that runs web, mobile, API, and business logic applications and automatically manages the resources required by those apps. Amazon Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud. To generate a metric that counts the distinct values of a span attribute (for instance count the number of user IDs hitting a specific endpoint), add this dimension to the group by selector, and use the count_nonzero function to count the number of tag values. This post is part 1 of a 3-part series on monitoring Amazon ELB. m. snapshot_storage_used. Depending on your plan, you can monitor 5 or 10 containers free for each host license. For instance, retrieve all your 4xx errors with: Mar 1, 2016 · In a bar graph, each bar represents a metric rollup over a time interval. You should see the Monitor Status page. On a hybrid monthly/hourly plan (MHP), Datadog charges your minimum monthly commitment, and for any host hours above that commitment, Datadog charges an hourly rate. , 13 server errors in the past five minutes). yaml configuration file. APM and distributed tracing provide transaction-level insight into applications running in your Kubernetes clusters. Find the Total Requests Graph and click on the export button on the top right to choose Export to Dashboard. Regression: Apply a machine learning function. Use thresholds to set a numeric value for triggering an alert. Metrics Server collects resource usage statistics from the kubelet on each node and provides aggregated metrics through the Metrics API. rollup() function can be used to enforce the type of time aggregation applied ( avg, min, max, count, or sum) and optionally the time interval to rollup. & 5. containerservice_managedclusters. Upstream servers, such as active connections, 5xx codes, and health checks. Notifications. Confluent Cloud is a fully managed, cloud-hosted streaming data service. You can create a log-based metric from your log analytics queries by selecting the Generate new Metric option from your graph. . Get monitor alerts of spikes or drops in your usage. View Kafka broker metrics collected for a 360-view of the health and performance of your Kafka clusters in real time. Click Patterns in the Group into section. The list view displays a list of spans that match the selected context, defined by the search bar query filter and a time range. It collects metrics for number of user connections, rate of SQL compilations, and more. Shown as gibibyte Apr 4, 2021 · Getting an accurate count of these agents in the Datadog UI has proven challenging, however. Count: Count non-zero or non-null values. Shown as transaction: aws. Threshold of > -50. Add your JSON monitor definition and click Save. For unitless metrics, Datadog uses the SI prefixes K, M, G, and T. Using CloudWatch Metric Streams to send your AWS metrics to Datadog offers up to an 80 percent The Cassandra check is included in the Datadog Agent package, so you don’t need to install anything else on your Cassandra nodes. s3 kubernetes_state. We are building the monitoring and security platform for developers, IT operations teams and business users in the cloud age. Create query widgets in dashboards to display the number of a given resource type. Note: The metrics referenced in this article pertain to classic ELB load balancers. Advanced search lets you query SLOs by any combination of SLO attributes: name and description - text search. cluster_autoscaler_unneeded_nodes_count (count) Nodes marked as candidates for deletion: azure. It allows you to: Track queue-based stats: queue size, consumer count, unacknowledged messages, redelivered messages, and more. Send your logs to your Datadog platform over HTTP. From the Manage Monitors page, click the monitor you want to export. To import a monitor: Navigate to Monitors > New Monitor. It’s important to monitor the health of your Kafka deployment to maintain reliable performance from the applications that depend on it. Shown as gibibyte: aws. Alternatively, navigate to the Generate Metrics tab of the logs configuration section in the Datadog app to create a new query. Disk Check - Capture metrics about the disk. In addition, you can purchase prepaid containers. operations_pending_replication (gauge) The number of operations pending replication Shown as operation: aws. count over everything and summing by status. Datadog supports several different metric types that serve distinct use cases: count, gauge, rate, histogram, and distribution. Tags:kube_namespace pod_name kube_container_name reason (env service version from standard labels). Monitor over a RUM event count: Use the search bar (optional) and do not select a facet or measure. Read the Amazon MSK (Agent) page for information about monitoring MSK through the Datadog Agent. This is a break down of the query with the following conditions: Aggregation of avg. Assign one or more user roles to the users. Suppose you are submitting a COUNT metric, activeusers. Manage information being collected. Assess the potential impact of code changes on your usage in near real-time. Monitor over a facet: If you select a facet, the monitor alerts over the Unique value count of the facet. The global search ( Cmd+K on MacOS, Ctrl+K on Windows) menu. terminated (gauge) Describes the reason the container is currently in terminated state. Web UI Task Definition. Service checks monitor the up or down status of a specific service. docdb. Click + Add Widgets to open the widgets and apps side panel. basket_size, from a single host running the Datadog Agent. Click on Task Definitions in the left menu, then click the Create new Task Definition button or choose an existing Fargate task definition. Feb 21, 2019 · And for both launch types, you may want to monitor CPU metrics by Docker container or ECS service. Use Process Monitors to configure thresholds for how many instances of a specific process should be running and get alerts when the thresholds aren’t met (see Service Checks below). heap_memory / jvm. The Agent adds all the values received in one time interval and submits the total number, in this case 15, as the COUNT metric’s value. Every measure has a unit that is displayed in a column of the RUM Explorer and in your visualizations. Datadog evaluates the number of RUM events over a selected time frame, then compares it to the threshold conditions. With distributed tracing, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM helps ensure the best Overview. node. Click Create flow log. Get metrics from your base system about the CPU, IO, load, memory, swap, and uptime. Certain standard integrations can also potentially emit custom metrics. They have a maximum width of 12 grid squares and also work well for debugging. This post covers which data to collect, and how to classify that data so that you can: Receive meaningful, automated alerts for potential problems. A custom . Break down the resource consumption on your hosts and containers at the process level. yaml 構成ファイルの histogram_aggregates パラメーターで構成します。デフォルトでは、max、median、avg、count の集計だけが Datadog に送信されます。sum および min も利用できます。 Mar 10, 2020 · The Kubernetes ecosystem includes two complementary add-ons for aggregating and reporting valuable monitoring data from your cluster: Metrics Server and kube-state-metrics. Producer metrics. Datadog strongly recommends exporting a monitor’s JSON to build the query for the API. SSL, such as handshakes and failed handshakes. The Check Status widget can visually display service degradation, service failures, cluster-wide issues, drops in throughput, or Overview. Datadog’s out-of-the-box Confluent Cloud dashboard shows you key cluster metrics for monitoring the health and performance of your environment, including Containers are supported in Pro and Enterprise plans. 演算と少なくとも 1 つの as_count() モディファイアーを含むモニターは、演算と時間集計を行う順序を変更するために、異なる To create a measure, find and click on a numerical attribute in the event side panel. Enter the email address of the user you wish to invite to your Datadog account. Datadog tracks the performance of your webpages and APIs from the backend to the frontend, and at various network levels ( HTTP, SSL, DNS, WebSocket, TCP, UDP, ICMP 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. Monitor Query: pct_change(avg(last_5m),last_30m):<METRIC> > -50. By using the monitor creation page in Datadog, customers benefit from the preview graph and automatic parameter tuning to help avoid a poorly configured monitor. Inclusion is the choice we make every day to foster an environment where people of all backgrounds not only belong but excel, so that together, as a company, we can Arithmetic between two metrics. Event Management features: Ingest events - Learn how to send events to Datadog Pipelines and Processors - Enrich and Normalize your events Events Explorer - View, search and send notifications from events coming into Datadog Using events - Analyze, investigate, and monitor events Correlation - reduce alert fatigure and the number of tickets/notifictions you recieve (count) The total number of replication operations Shown as operation: aws. To control which information is sent to Datadog, you can mask action Configure Monitors. Process check - Capture metrics from specific running processes on a system. Navigate to the Log Explorer. You can also perform advanced filtering with Boolean or Wildcard tag value filters. Note: There is a default limit of 1000 Log monitors per account. Metric types determine which graphs and functions are available to use with the metric in the app. To create a logs monitor in Datadog, use the main navigation: Monitors –> New Monitor –> Logs. blocked_count (count) Web Application Firewall blocked requests rule distribution: azure. If you would benefit from visualizing the topology of your 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. Alternatively, click @ Add Mention, Add Workflow, or Add Case. Any log exceeding 1MB is accepted and truncated by Datadog: For a single log request, the API Visualizations define how the queried span data is displayed. In the Logs tab, enable Enable CloudWatch Logs and Enable Access Logging. Yet compared to traditional “on-premise” offerings, AWS’ ELB have offered little monitoring hooks or metrics. ) Open the Service Catalog and choose the web-store service. The following checks are also system-related: Directory Check - Capture metrics from the files in given directories. To track the count of sessions generated by a RUM application, navigate to the Dashboard List and select a dashboard to track your RUM usage trend. Introduction. Double click on them or click on the edit button to see more information about Datadog calculates your current estimated usage in near real-time. Enable this integration to see in Datadog all your Kinesis metrics, and collect custom Kinesis tags. At Datadog, diversity means making a conscious effort to reflect the many experiences and identities of the world outside while treating each other with fairness and without bias. This feature makes bar graphs ideal for representing counts. Correlate the performance of your Azure Apps with the rest of your apps. Multistep API tests allow you to chain several HTTP requests or gRPC requests at once to proactively monitor and ensure that the sophisticated journeys on your key services are available at anytime, and from anywhere. These compute resources are analogous to the server farm in conventional web hosting. Create monitors around your estimated usage based on thresholds of your choosing. If you want to perform single requests to your services, use API tests. Datadog In-App Type: GAUGE. If you are encountering this limit, consider using multi alerts, or Contact Support. Select the All filter to get both accepted and rejected connections. Use any available tags to scope the count to a relevant aggregation such as Overview. Sep 20, 2017 · response returns the requested string or hash, if the request is successful, along with an HTTP status code. More Fargate pricing information. Click the settings cog (top right) and select Export from the menu. vm. Select relevant visualizations to surface valuable information, such as a list for individual events, or as timeseries or top lists for aggregates. Once you’ve completed your trial sign up you can use Datadog to: Aggregate metrics and events from 750+ technologies. In the AWS console, go to the VPC you want to monitor. Select the INFO level to make sure you have all the requests. For example, CPU, memory, I/O, and number of threads. count() This function submits the number of events that occurred during the check interval. Define the search query. This integration uses a crawler that collects metrics from CloudWatch. minimum (count) Mar 10, 2020 · Datadog’s Autodiscovery and 750+ built-in integrations automatically monitor the technologies you are deploying. If the script emits a COUNT metric for each agent it sees, then agents will be double-counted in the Datadog UI when the interval is longer than a minute, because the script runs once per minute and sees (mostly) the same agents each time. The Process Check lets you: Collect resource usage metrics for specific running processes on any host. The number of returned metrics is indicated in the status page. We will cover Application Load Balancer metrics in a For users of NGINX Plus, the commercial version of NGINX, the Agent can collect the significantly more metrics that NGINX Plus provides, like: Errors, such as 4xx codes and 5xx codes. 注: どの集計を Datadog に送信するかは、datadog. In addition to the standard integration, Datadog DBM provides query-level azure. The dashboards submenu. DogStatsD が Agent Dashboards. Exclusion: Exclude certain values of your metric. Surface logs with lowest or highest value for a measure first, or sort your Aug 30, 2021 · Visualize your AWS Lambda metrics. This is the fastest and therefore recommended sorting method for general purposes. They are commonly used as status boards or storytelling views which update in real time, and can represent fixed points in the past. This page describes how to set up and configure Application Performance Monitoring (APM) for your Kubernetes application. Amazon Kinesis is a fully managed, cloud-based service for real-time processing of large, distributed data streams. You can easily visualize all of this data with Datadog’s out-of-the-box integration and enhanced metrics To monitor the istioddeployment and istio-proxyin Istio v1. It is limited to 100. Interpolation: Fill or set default values. By default, Datadog rounds to two decimal places. We would like to show you a description here but the site won’t allow us. Any metric you create from your logs will appear in Feb 5, 2021 · Count. Exporting an Analytics query. Any metric can be filtered by tag (s) using the from field to the right of the metric. Datadog aggregates the interval-based measurements at the end of the month and charges you based on the average number of hours your applications were run and monitored. As you type, Datadog recommends existing options in a drop-down menu. You can access these attributes in the search bar, the Facets panel, and your visualizations. Query for processes running on a specific host, in a specific Overview. Synthetic Testing and Monitoring. *. cluster_autoscaler_unschedulable_pods_count (count) Number of pods in the cluster that cannot be scheduled Overview. Apr 8, 2019 · Because Datadog’s APM and infrastructure monitoring are seamlessly integrated, you can investigate all of these scenarios in one place. Use the Datadog API to access the Datadog platform programmatically. open_transaction_count. Enable VPC flow log logging. status_report. Connect Datadog with Confluent Cloud to visualize and alert on key metrics for your Confluent Cloud resources. To start configuring the monitor, complete the following: Define the search query: Construct a query to count events, measure metrics, group by one or several dimensions, and more. waiting (gauge) Describes the reason the container is currently 4hr. producer_count. Estimated usage metrics enable you to: Graph your estimated usage. Use the Advanced&mldr; option in the graph editor and select Add Query. Select the wanted API and go to the Stages section. time window - 7d, 30d, 90d. First, install the Datadog Agent on your app server, by following the instructions for your OS, as specified here. kubernetes_state. A custom metric is identified by a unique combination of a metric’s name and tag values (including count must be at greater than or equal to your max threshold (defined in the options). Limits per HTTP request are: Maximum content size per payload (uncompressed): 5MB. producer_count (count) The number of producers for the destination. ECS reports CPU utilization and reservation metrics as a ratio of CPU units, multiplied by 100 to yield a percentage. Take this change alert monitor with the following settings. And we need talented people like you to join our team. Use <, >, <=, or >= to perform a search on numerical attributes. It aggregates the nodes count by kernel_version os_image container_runtime_version kubelet_version. 5+there are two key components involved to collect the Prometheus-formatted metrics. After T , numbers are converted to exponential notation, which is also used for tiny numbers. Use an @notification to add a team member, integration, workflow, or case to your notification. amazonmq. Indexed span By default, only max, median, avg, and count aggregations are sent out to Datadog. See all that Datadog has to offer visiting our Events & Webinars hub Aug 11, 2017 · Top ELB health and performance metrics. Each value in the stored timeseries is a delta of Overview. Note: Metrics submitted with this function are stored with a COUNT metric type in Datadog. Use the azure. Specify the group-by dimension: By default, metrics generated from spans will not The SQL Server integration tracks the performance of your SQL Server instances. Datadog has two types of notifications: alert and warning. For instance, retrieve all traces that have a response time over 100ms with: @http. g. Kafka metrics can be broken down into three categories: Kafka server (broker) metrics. Log in to your AWS Web Console and navigate to the ECS section. waiting These metrics no longer emit a 0 value if no pods are waiting. Overview. heap_memory_max. With this integration, you can collect metrics and logs from your Kafka deployment to visualize telemetry and alert on the performance of your Kafka stack. Track node-based stats: waiting processes, used sockets, used file descriptors, and more. Jun 14, 2019 · Datadog’s new integration dashboard provides real-time visibility into the health and activity of your JVM runtime environment, including garbage collection, heap and non-heap memory usage, and thread count. An Indexed Span is an individual request against an individual service in your stack. Go to the Flow logs tab. Datadog’s Live Processes gives you real-time visibility into the processes running on your infrastructure. The trackUserInteractions initialization parameter enables the collection of user clicks in your application, which means sensitive and private data contained in your pages may be included to identify elements that a user interacted with. Go to the Organization Settings page, then click the Users tab. Datadog Application Performance Monitoring (APM) provides deep visibility into your applications, enabling you to identify performance bottlenecks, troubleshoot issues, and optimize your services. Datadog recommends that you use UDS, but it is possible to use all three at the same time, if necessary. Synthetic tests allow you to observe how your systems and applications are performing using simulated requests and actions from around the globe. Monitor vhosts for aliveness and number of connections. blocked_req_count (count) Web Application Firewall blocked requests count: azure. API Reference. This check monitors RabbitMQ through the Datadog Agent. Timeshift of 30 minutes or 1800 seconds. You can use Quick Graphs to graph your data from anywhere in Datadog. This can, of course, also be done in your current log management solution, if you have one. Want to learn more about Datadog? Datadog hosts events both online and in-person. Datadog will automatically start collecting the key Lambda metrics discussed in Part 1, such as invocations, duration, and errors, and generate real-time enhanced metrics for your Lambda functions. For new task definitions: Select Fargate as the launch type, then click the Next step button. Select the desired destination type (Amazon Data Firehose, S3 bucket, or CloudWatch log group) for the logs. sum (count) The total number of operations that failed to replicate for a given replication rule Shown as operation: aws. Jan 6, 2020 · Creating log-based metrics in Datadog. as_count() および as_rate() モディファイアーを使用してクエリを計算すると、モニター評価でさまざまな結果を得ることができます。. 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. The Datadog API is an HTTP REST API. Visualize the percentage of a metric by dividing one metric over another, for example: jvm. sum and min are also available if desired. To emit custom metrics with the Datadog Lambda Layer, we first add the ARN to the Lambda function in AWS console: arn:aws:lambda:<AWS_REGION>:464622532012:layer:Datadog-<RUNTIME>:<VERSION>. Nov 1, 2013 · AWS has been offering elastic load balancers (ELB) in their cloud since 2009. As you define the search query, the graph above the search fields updates. In the Graph your data section, select Metrics and datadog Check Status Widget. 初期設定では、アプリケーションからのランタイムメトリクスは、ポート 8125 を介して DogStatsD と共に Datadog Agent に送信されます。. operations_failed_replication. Configure which percentile aggregation you want to send to Datadog with the histogram_percentiles parameter in your datadog. This supports up to one point per minute over a day. Uses % change. Get metrics from Azure App Service to: Visualize your app performance. (Step 4. In the list of patterns, the aggregate values in the message section are highlighted in yellow. Open the Quick Graphs editor with any of the following: Pressing G on any page. azwaf_total_requests (count) Count of successful requests that WAF engine has served Feb 5, 2021 · The datadog doc gives clear examples about their differences: Count. Unlike gauge metrics, which represent an instantaneous value, count metrics only make sense when paired with a time interval (e. Rank: Select only a subset of metrics. Note: Anomaly detection monitors are only available to customers on an enterprise plan. Custom metrics help you track your application KPIs: number of visitors, average customer basket size, request latency, or performance distribution for a custom algorithm. Jun 30, 2015 · More broadly, having monitoring data is a necessary condition for observability into the inner workings of your systems. Try it free. Track count of sessions for an application. A CPU unit is an absolute measure of an instance’s CPU capacity, regardless of the underlying hardware. aws. Log Indexes provide fine-grained control over your Log Management budget by allowing you to segment data into value groups for differing retention, quotas, usage monitoring, and billing. s3. It’s recommended to use Oracle’s JDK for this integration. sum (gauge) The sum of the total amount of backup storage consumed by all snapshots for a given cluster outside its backup retention window. Hover over an aggregate value to get a preview of the visual distribution of its values. Install the Datadog Agent + Python tracing client. (Step 7. Alerts are triggered when the monitoring Agent fails to connect to the service in a specified number of consecutive checks. group must be specified for check monitors. JVM メトリクスは、Java サービスと相関して表示できます。. A grid-based layout, which can include a variety of objects such as images, graphs, and logs. You can use the template variable selectors to filter for runtime metrics collected from a specific host, environment, service, or any To enable API Gateway logging: Go to API Gateway in your AWS console. Azure App Service Plan defines a set of compute resources for a web app to run. Datadog excludes the top 1 percent to reduce the impact of spikes in usage on your bill. Enable Database Monitoring (DBM) for enhanced insight into query performance and database health. Click Invite Users in the upper right corner of the page. Per-check grouping is already explicitly known for some service checks. By default, only the 95percentile, 95th percentile, is sent out to Datadog. You can send traces over Unix Domain Socket (UDS), TCP ( IP:Port ), or Kubernetes service. Gauge Creating it manually. The best way to get the number of log events during your Datadog trial is to run a count query over the last 24 hours and multiply by 30 days to estimate for the month. Use Live Processes to: View all of your running processes in one place. type - metric, monitor. Evaluation window of 5 minutes. (count) Determines if the scale down is in cooldown: azure. These different metric submission types are mapped to four in-app metric types found within the Datadog web application: COUNT; RATE; GAUGE; DISTRIBUTION; Note: If you submit a metric to Datadog without a type, the metric type appears as Not Assigned within Datadog. response_time:>100. This host emits the following values in a flush time interval: [1,1,1,2,2,2,3,3]. Azure SQL Database gives you a robust datastore with the flexibility to scale to meet demand. Maximum size for a single log: 1MB. Below, we can see that two jumps in reads and writes to disk (and corresponding spikes in query latency) took place around 8 p. Arithmetic: Perform arithmetic operations. container. Set alert conditions: Define alert and warning thresholds , evaluation time frames, and configure advanced alert options. Rate: Calculate a custom derivative over your metric. network_applicationgateways. The value of this attribute is stored across all new RUM events. ik wb fz ig qb dy pg pn pm pt