We’re thrilled to be partnering with AWS on OpenTelemetry See full list on datadoghq. import os from datadog import initialize from datadog import api # NOTE: Use distribution metric to use aggregations such as 55% tile and 99% tile def distribution_metric_to_datadog (metric_name, value, host, tags): print (" distribution metric : {0}: {1}". meterFilter( MeterFilter. Read the Latency Distribution section for more information. Correlate the performance of your Service Buses with your applications. config(). For more information, see Custom metrics and standard integrations. format (tags)) api. Choose how to submit data to the custom metric (e. For exponential notation, the default is zero decimal places. Returns the log-based metric object from the request body when the request is successful. Input a query to filter the log stream: The query syntax is the same as for the Log Explorer Search. Datadog recommends monitoring the 75th percentile distribution メトリクスタイプは dogstatsd だけのものです。distribution メトリクスとして保存された distribution メトリクスを datadog に送信します。 distribution タイプについては、メトリクスのタイプ に関するドキュメントを参照してください。 Oct 24, 2017 · Monitor AWS Auto Scaling with Datadog. 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。. leverage percentile aggregates to spot outlying processes. GAUGE. In the first part of this series, we discussed timeseries graphs—visualizations that show infrastructure metrics evolving through time. Jul 14, 2016 · See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Since this aggregation is taken care of on the collection side, this isn The main use case to run the kube_apiserver_metrics check is as a Cluster Level Check. This inability to easily cut through the metrics clutter is why we have introduced the top() family of functions. To visualize your web application or service Apdex: On the Service Catalog, click into a web service. Datadog continues to ingest all your custom metrics at full granularity, regardless of what filters you put in place, so you can re-index these unindexed metrics at any point for further analytics. Mar 16, 2021 · generate and manage process metrics. This metric does not support percentile aggregations. e. , collectors), and backends. These metrics focus on giving you a view of load performance, interactivity, and visual stability. For more information about Cloud Run for Anthos, see the Google Cloud Run for Anthos documentation. Microsoft Azure Service Bus is a fully managed enterprise integration message broker. Overview. Click New Timeboard. This visualization displays only a single query; additional queries are disregarded. if you have a dozen servers how should those servers be combined into a single line? that is what space aggregation decides. The metrics endpoint allows you to: Post metrics data so it can be graphed on Datadog’s dashboards. Using CloudWatch Metric Streams to send your AWS metrics to Datadog offers up to an 80 percent 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. Function template: May 4, 2018 · Key metrics for SQL Server monitoring. MeterRegistry. The additional metrics apply to CloudFront distributions, and must be turned on for each distribution separately. Feb 29, 2016 · You may have already noticed metric metadata appearing on your dashboards. basket_size, from a single host running the Datadog Agent. AWS Elastic Compute Cloud ( EC2) makes it easy to launch and terminate virtual machines. Jul 17, 2019 · See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free. 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. Choose which metric you want to visualize, the variations, and the filters. The DogStatsD client library (UDS) returning errors. Note: A graph can only contain a set number of points and as the timeframe over which a metric is viewed increases Toggle to include/exclude percentiles for a distribution metric. May 13, 2019 · In this post, we’ll dive into key metrics that will help you monitor the health and performance of your EKS cluster. Set your Apdex for your traces. 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 The fact that the DISTRIBUTION metric type enables tag filtering is an important consideration when choosing between it and a HISTOGRAM. Duration by Distribution Widget. The raw data is automatically converted Jan 8, 2024 · 3. They both employ a standard for tracking Notifications. Tags: env, service, resource, http. Follow these steps to enable the standard Azure integration: Create an app registration in your Active Directory and enter the credentials in the Datadog Azure integration page. You can also set alarms based on these metrics in the CloudFront console, or in the CloudWatch console, API, or CLI. detect future issues more proactively with alerts and SLOs. With native support for OTLP, the Datadog Agent now enables you to get deep visibility into your OpenTelemetry-instrumented applications without updating your code or migrating away from your existing workflows. as_rate() is the only one that finds the expected average rate where left = right * num_seconds. A metric query uses the sum of the good events divided by the sum of total events over time to calculate a Service Level Indicator (or SLI). With Datadog’s Auto Scaling integration, you can track metrics and events from your Auto Scaling groups in the same place as the rest of your AWS Metrics. Modify tag configurations for metrics. path (String) The path to the value the log-based metric will aggregate on (only used if the aggregation type is a "distribution"). SQL Server is a relational database management system (RDBMS) developed by Microsoft for Windows and, more recently, for Linux. Optional: Enable Additional CloudFront Distribution Metrics for more visibility into the performance of your CloudFront traffic. Gauges. As transactions come in, the agent captures each value in a statistical distribution. histogram(key, value[, tags[, timestamp[, options]]]) Sample a histogram value. In fact, the per_second() rollup does this extra weird thing where metrics with lower total events have higher average rates. (Step 7. The Azure integration automatically collects Azure Service Health events. For example, CPU, memory, I/O, and number of threads. We can iterate over the registry and further each meter’s metrics to generate a time series in the backend with combinations of metrics and their dimension values. datadog. It’s possible to get percentiles in Datadog by submitting data as a histogram metric through DogStatsD. format (metric_name, value)) print (" tags : {0}". AWS Auto Scaling goes a step further and makes the process automatic. This post focuses on summary graphs. Container and node resource metrics. Sep 23, 2019 · It was a success! Percentile metrics now look much less noisy, and histograms are smoother. The Metrics Summary page displays a list of your metrics reported to Datadog under a specified time frame: the past hour, day, or week. Tracking latency is the most direct way to detect changes in Redis performance. This is the second post in a series about visualizing monitoring data. com'. Apr 4, 2014 · Datadog’s top() Functions. Any metric can be filtered by tag (s) using the from field to the right of the metric. In this case because are you grouping by host there is Jan 31, 2022 · Golang and its runtime provide tools for memory profiles, CPU profiles, concurrency profiles, and much more, which makes it ideal for us. Custom metrics help you track your application KPIs: number of visitors, average customer basket size, request latency, or performance distribution for a custom algorithm. The Distribution visualization shows data aggregated across one or several tags, such as hosts. Query metrics from any time period. The top() family of functions gives you the power to rank, filter and visualize your performance metrics so you can focus on the metrics that are most important to you at any given time. Datadog Network Performance Monitoring helps make troubleshooting problems with your network easier by visualizing key performance metrics, and providing preset Saved Views that let you quickly scope to relevant troubleshooting data. Labels are equivalent to Datadog tags and allow you to Jun 27, 2018 · Monitor AKS with Datadog. The Agent embeds a DogStatsD server that receives DogStatsD packets, perform data aggregation, and send final percentile metrics to Datadog. For a detailed list of metrics, select the appropriate Azure service in the overview section. To learn more, or to see examples of how to update your terraform definitions to utilize the new distribution metrics, see the detailed doc. Cloud Run is a managed compute platform that enables you to run stateless containers that are invocable using HTTP requests. By default, Datadog rounds to two decimal places. This field can't be updated after creation. aggregations (Block Set) A list of queryable aggregation combinations for a count, rate, or gauge metric. Note that we will focus on EC2-based EKS rather than EKS on AWS Fargate in this guide. 3. lambda. simpleMatch("metric_pattern", id. This field can't be May 5, 2016 · Learn about the key components, capabilities, and features of the Datadog platform. Add a new log-based metric. Dropped datagrams / metrics. See the documentation for Cluster Level Checks . sleep(10) which is set to 10 by default since it coincides with the flush time of the Datadog agent. Note: The monitor type cannot be changed Google’s Core Web Vitals are a set of three metrics designed to monitor a site’s user experience. Stacked area graphs. DogStatsD is based on the StatsD protocol. 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。. Feb 5, 2021 · Suppose you are submitting a COUNT metric, activeusers. To help you effectively visualize your metrics, this first post explores four different types of timeseries graphs, which have time on the x-axis and metric values on the y-axis: Line graphs. Its query language, an implementation of SQL called Transact-SQL ( T-SQL ), can be written as batches of statements that SQL Server compiles and caches to improve query performance. Each metric comes with guidance on the range of values that translate to good user experience. To start monitoring AKS with Datadog, all you need to do is configure the integrations for Kubernetes and Azure. View tags and volumes for metrics. To add a label that displays on the bottom left of the timeseries widget, define a value for the Y-Axis and click the Label checkbox. Datadog can help you get full visibility into your AKS deployment by collecting metrics, distributed request traces, and logs from Kubernetes, Azure, and every service running in your container infrastructure. The calendar shift allows you to compare the same metric across equivalent timeframes. This is why the bf_metrics timer abstraction (which is used to time your functions and/or code) will use the DISTRIBUTION metric type rather than Datadog's TIMER metric type (which is a subset of a HISTOGRAM). Find the Total Requests Graph and click on the export button on the top right to choose Export to Dashboard. synthetics. For more information about the cost, see Estimate the cost for the additional CloudFront metrics. Can only be applied to metrics that have an aggregation_type of distribution. Understanding distribution metrics. We began this improvement to gain raw CPU time: we set out to process every metric faster, which lets us process Datadog’s SaaS-based infrastructure monitoring provides metrics, visualizations, and alerting to ensure your engineering teams can maintain, optimize, and secure your cloud or hybrid environments. When DogStatsD is used to send a large volume of metrics to a single Agent, if proper measures are not taken, it is common to end up with the following symptoms: High Agent CPU usage. By default, count and rate metrics require the (time: sum, space: sum) aggregation and gauge Metrics. . Enable this integration and instrument your container to see all of your Cloud Run metrics, traces, and logs in Datadog. Use an @notification to add a team member, integration, workflow, or case to your notification. 一連の Valid values are gauge, count, rate, distribution. Tagging. DebugLogging bool // EnhancedMetrics enables the reporting of enhanced metrics under `aws. include_percentiles (Boolean) Toggle to include/exclude percentiles for a distribution metric. On timeseries graphs, just move your cursor over any graph to see the relevant units. You can also create metrics from an Analytics search by selecting the “Generate new metric” option from the Export menu. Nov 7, 2017 · Metric to alert on: latency. DogStatsD implements the StatsD protocol and adds a few Datadog-specific extensions: Histogram metric type. registry. for system. tags (Set of String) A list of tag keys that will be queryable for your metric. Summaries. , via the DataDog Agent, API, or custom code). Apr 4, 2016 · It is essential to tag your metrics when monitoring large-scale infrastructure. We will look at the following categories of metrics: Cluster state metrics. Additionally, in the full screen view, we visualize the time bucket under your cursor (in this example, the 1h 40min wide bin beginning at 3:35pm) as a histogram graph. You can learn more about distribution metrics and sending custom metrics from Lambda functions in our documentation. com The Process Check lets you: Collect resource usage metrics for specific running processes on any host. Read the DASH 2024 Roundup for our latest product and feature announcements Read the DASH 2024 Roundup Jun 18, 2024 · The Datadog Distribution metric type can most closely be mapped to OpenTelemetry’s Exponential Histogram metric type. For example, suppose you observe a spike in Mar 1, 2016 · There is no one-size-fits-all solution: you can see different things in the same metric with different graph types. The simplest form of the registry is SimpleMeterRegistry. Producer metrics. 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 mapping from these types to the types found in the Datadog Web UI can be found in the Datadog API documentation page. The metric's calculated value which should be used to define the sort order of a query's results. Request Body Data (required) The definition of the new log-based metric. All standard Azure Monitor metrics plus unique Datadog generated metrics. Gauge The dimension by which to sort a query's results. To help make this idealistic future a reality, we have added forecasts to Datadog. Allowed enum values: count,cardinality,pc75,pc90,pc95,pc98,pc99,sum,min,max,avg. We leveraged these tools to profile the Datadog Agent in order to improve its metrics pipeline. For more information, see the Datadog Engineering Blog post on OpenMetrics and distribution metrics. Note: OpenTelemetry provides metric API instruments ( Gauge, Counter, UpDownCounter, Histogram, and so on), whose DogStatsD implementation. type (String) The type of the monitor. Kafka metrics can be broken down into three categories: Kafka server (broker) metrics. Units are displayed automatically on timeseries graphs, query value widgets, and toplists, as shown in the screenshot of a Redis dashboard above. Metric type: GAUGE. This works for host-based applications because metric points get aggregated by the Datadog agent and tagged with a unique host tag. Metrics starting with: synthetics. , it can ingest values at a high rate. After T, numbers are converted to exponential notation, which is also used for tiny numbers. Exporting an Analytics query. getName()))); Apr 8, 2022 · For count type metrics: In this case, the interval decided to sample our metric is given by the parameter: time. denyUnless(id -> PatternMatchUtils. Use one of the following methods to integrate your AWS accounts into Datadog for metric, event, tag, and log collection. Prometheus provides a dimensional data model—metrics are enriched with metadata known as labels, which are key-value pairs that add dimensions such as hostname, service, or data center to your timeseries. NET web applications and other C# projects. This host emits the following values in a flush time interval: [1,1,1,2,2,2,3,3]. Graph values from the previous day, week, or month from the current timestamp for the metric. Here are the steps to create a custom metric: Login to your DataDog account and navigate to the "Metrics" section. Histograms will produce metrics that describe the distribution of the recorded values, namely the minimum, maximum, average, median, count and the 75th, 85th, 95th and 99th percentiles. You can also run the check by configuring the Oct 29, 2021 · Metrics without Limits lets you regulate your custom metrics’ volume without losing any information. Or if you’re not yet using Datadog, you can get started with a 14-day Sep 9, 2021 · Get started with Network Performance Monitoring today. You can use any metric to create SLOs, including custom metrics generated from APM spans Nov 15, 2021 · Generating span-based metrics helps you keep close tabs on how your applications are performing over time, while minimizing the costs associated with retaining and managing all of those spans. Feb 1, 2021 · By packaging AWS Distro for OpenTelemetry with a Datadog exporter, AWS has further broken down barriers to data portability, making it possible for Datadog customers to easily view metrics and traces collected by the distribution alongside monitoring data from our 750+ integrations. count that is stored as a RATE metric type in Datadog. Datadog’s Amazon Web Services integration collects logs, events, and all metrics from CloudWatchfor over 90 AWS services. 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. Note: The monitor type cannot be changed Metric collection. & 5. In Micrometer, a MeterRegistry is the core component used for registering meters. Available in all Datadog Sites. Datadog に送信される各メトリクスにはタイプが必要です。. Path string The path to the value the log-based metric will aggregate on (only used if the aggregation type is a "distribution"). If a metric is not submitted from one of the more than 750 Datadog integrations it’s considered a custom metric. Tags (aka labels) are a foundational concept in hyper-scale operations like Google’s internal orchestration project, Borg, Kubernetes, and Datadog. Docs > Dashboards > Widgets > Distribution Widget. The Otel statsd receivers currently recognizes metric type GAUGE( g ), TIMER( ms ),COUNTER( c ) & HISTOGRAM( h ). May 16, 2022 · OTLP is a specification for encoding and transmitting telemetry data between sources, intermediaries (e. Due to the single-threaded nature of Redis, outliers in your latency distribution could cause serious bottlenecks. Dec 9, 2022 · 2. For some supported languages, you can configure OpenTelemetry instrumented applications to use the Datadog tracing Dec 12, 2017 · Introducing metric forecasts for predictive monitoring in Datadog. Nov 10, 2020 · I was using the meter filter unknowing which just denies sending the metrics when the name of the metric doesn't match the pattern. (Step 4. When Datadog receives multiple count or gauge metric points that share the same timestamp and set of tags, only the most recent one counts. CloudFormation (Best for quickly getting started) To set up the AWS integration It can be called multiple times during a check’s execution. Each sample is added to the statistical distribution of the set of values for this metric. test_runs come from all your Synthetic tests. L’Agent Datadog n’envoie pas à nos serveurs une requête distincte pour chaque point de données analysé. Select the Generate Metrics tab. Automatic. メトリクスのタイプは 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. Latency is the measurement of the time between a client request and the actual server response. 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. estimated_usage. In the AWS integration page, ensure that CloudFront is enabled under the Metric Collection tab. Histograms. Setup. io you coud imagine sum could be more interesting than average sometimes. Install the Datadog - Amazon CloudFront integration. The following metrics are generated by Synthetic Monitoring tests and Continuous Testing settings. second one controls time aggregation. Chaque type possède ses propres avantages. We now use DDSketch at scale at Datadog. Check out Olivier’s blog post for more Custom Metrics Billing. To view these in Datadog, navigate to the Event explorer and filter for the Azure Service Health If the send_distribution_buckets parameter is true, _bucket samples are aggregated into a Datadog distribution. This article will explore some key metrics that will help you monitor widely used services like Amazon EC2, EBS, ELB Jul 27, 2015 · You can add a Change Graph to any Datadog dashboard via drag-and-drop or API—the same as you would add any other visualization, like a timeseries graph or heatmap. Unlike the heatmap, a distribution graph’s x-axis is quantity rather than time. Site string // DebugLogging will turn on extended debug logging. These OTLP metric types are mapped to Datadog metric types: COUNT. メトリクスのタイプは、クエリ時のメトリクス値の表示方法、および追加の 修飾子 および 関数 を使用した Datadog 内の関連するグラフ化の可能性に影響します。. Note: All metric aggregation produced are stored as a GAUGE metric type in Datadog, except the <METRIC_NAME>. On the upper right-hand graph, select Apdex instead of Latency. By default, count and rate metrics require the (time: sum, space: sum) aggregation and gauge This protocol can be UDP (User Datagram Protocol) or UDS (Unix Domain Socket). In the Show as field, select an alerting status/color and choose from a solid, bold, or dashed horizontal line. calendar_shift(<METRIC_NAME>{*}) To access the calendar_shift () function click the Add function button, select Timeshift > Month before. Log collection If a metric is not submitted from one of the more than 700 Datadog integrations, it is considered a custom metric. 57. A custom metric is uniquely identified by a combination of a metric Creating it manually. Click an option to add it to your notification. Il détermine les graphiques et fonctions disponibles dans l’application. These metrics will then be sent to Datadog, where they can be graphed and analyzed in realtime. Select “Change” visualization. Auto-configuration enables the instrumentation of all available Hibernate EntityManagerFactory instances that have statistics enabled with a metric named hibernate. Because the OpenCensus and OpenTracing projects share similar goals, there is a lot of overlap with their tracing APIs. Metrics are also tagged by the name of the EntityManagerFactory that is derived from the bean name. Jul 10, 2024 · If empty, this value is read from the 'DD_SITE' environment variable, or if that is empty // will default to 'datadoghq. As you type, Datadog recommends existing options in a drop-down menu. This was a more challenging translation, due to differences in how the bucket boundaries are defined in the two systems. 7 Hibernate Metrics. Apr 16, 2019 · To this end, you have been using distribution metrics. Click on View Dashboard in the success message. Try to set it to different values such as 1 and you’ll notice the metric is increased 10 times in a single flush time. If you want to compare with the same timeframe yesterday, just select 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. Create a tag configuration; Get active metrics list; Query timeseries data across multiple products; Submit distribution points; Submit metrics; Get metric metadata; List tag configuration by name; Query scalar data across multiple products; Edit metric metadata; Update a tag configuration; Delete a tag configuration; Search metrics Overview. Datadog distribution metrics are based on the DDSketch algorithm, and allow for more advanced statistical aggregations such as quantiles. first avg controls space aggregation. Jul 6, 2022 · Metrics sent from the Datadog extension will automatically be aggregated into distributions, so you can graph the average, sum, max, min, and count, as well as 50th, 75th, 95th, and 99th percentile values. Examples Metric-based SLOs are useful for a count-based stream of data where you are differentiating good and bad events. 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>. In an ideal world, automated alerts would assess which looming issues are likely to become real problems, and would notify you with all the lead time you need to take action. Apr 6, 2016 · A properly functioning Kafka cluster can handle a significant amount of data. The type of aggregation that can be performed on events-based queries. Certain standard integrations can also potentially emit Aug 21, 2018 · Prometheus is an open source monitoring system for timeseries metric data. Aug 1, 2023 · The DataDog supported statsd metrics have an additional metric type distribution which is denoted by d in the statsd protocol. Create a metric based on your ingested logs in your organization. analyze historical trends in your infrastructure load. You can also perform advanced filtering with Boolean or Wildcard tag value filters. Service checks. Read the DASH 2024 Roundup for our latest product and feature announcements Read the DASH 2024 Roundup Valid values are gauge, count, rate, distribution. With extensive coverage of popular technologies, a simple deployment process that requires little maintenance, an easy-to-use interface, and deep May 1, 2024 · The heatmap visualizes data distribution, while a distinct line traces the p50 value, illustrating how the value changes across the observed period. ) Open the Service Catalog and choose the web-store service. Click +New Metric. Certain standard integrations can also potentially emit custom metrics. Tags are key to modern monitoring because they allow you to aggregate metrics across your infrastructure at any Create a metric based on your ingested logs in your organization. Get metrics from Azure Service Bus to: Visualize the performance of your Service Bus. Define the name, type, and other properties of the custom metric. Feb 6, 2019 · Key project differences. Toggle to include/exclude percentiles for a distribution metric. I was giving the different metric name which was not matching the pattern. For unitless metrics, Datadog uses the SI prefixes K, M, G, and T. Additionally, Datadog NPM automatically ties network Sep 20, 2017 · response returns the requested string or hash, if the request is successful, along with an HTTP status code. metrics. use processes alongside other telemetry data to identify the root cause of issues. If you don’t see this option, check that you have clicked into a web service: Use the pencil icon on the top left of your widget to configure your Aug 21, 2013 · The DogStatsD C# client is a C# library that sends custom metrics to the Agent’s DogStatsD server from within . * return relevant usage data from your Synthetic tests. on_demand return relevant usage data for Continuous Testing. DISTRIBUTION. Give the application read access ( Monitoring Reader role) to the subscriptions or management group you would like to monitor. Datadog prend en charge plusieurs types de métriques : count, gauge, rate, histogram et distribution. 概要. Distributions capture every transaction made and allow you to aggregate however you want a query time. Optional. In addition to computing accurate quantiles, DDSketch has a small memory footprint and is highly performant—i. Defaults to false. 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). enhanced*` and adds enhanced metric tags EnhancedMetrics Navigate to the Generate Metrics page. Nov 24, 2020 · per_second(count:DISTRIBUTION_METRIC{*} by {tag}) But, it turns out that these two queries are not the same. Check out our documentation for more information on creating span-based metrics. synthetics. status_code, all host tags from the Datadog Host Agent, and the second primary tag. OpenMetrics aims to create a standard format for exposing metric data, while OpenTracing and OpenCensus focus on creating a standard for distributed tracing. Events. It’s important to monitor the health of your Kafka deployment to maintain reliable performance from the applications that depend on it. Select a Line or Range and input a value or a range or values. g. Click on the "Create Custom Metric" button. You can annotate the service of your apiserver with the following: Then the Datadog Cluster Agent schedules the check (s) for each endpoint onto Datadog Agent (s). A single OTLP metric may be mapped to several Datadog metrics with a suffix indicating their meaning. Alternatively, click @ Add Mention, Add Workflow, or Add Case. sq gr sw sg ms iy as ta sb my