which tool ingests metrics, events, and metadata to generate insights through dashboards, metrics explorer charts, and automated alerts?

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Observability

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Metrics Explorer

Metrics Explorer is a tag-based tool that enables you to filter, aggregate, and visualize your metrics by tags and resource properties to enhance observability for your services. Metrics Explorer visualizations are dynamic, so if a matching resource is created after you create a metrics explorer widget and add it to a CloudWatch dashboard, the new resource automatically appears in the explorer widget.

Read all about Metrics Explorer here

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In the AWS Management Console on the Services menu, click CloudWatch.

In the left navigation menu under Metrics, click Explorer.

Your screen should look similar to the screenshot shown below. (Empty Explorer)

Metrics Explorer allows you to chose from Generic Templates (Lambda and EC2) or Service Based Templates, where you can chose which metric you want to add to a dashboard based on the service selected.

Click on the drop down that says Empty Explorer and select the lambda by runtime generic template.

Metrics Explorer helps to bridge the gap between your resources and tags to enhance observability for your services. It provides quick and easy mechanism to filter, aggregate, and visualize your metrics by tags and resource properties. The visualizations you see here are dynamic, so if a matching resource is created after you create a metrics explorer widget and add it to a CloudWatch dashboard, the new resource automatically appears in the explorer widget.

Click on the drop down again and select Lambda.

Select 3h in the top right.

In the From search bar, select the aws:cloudformation:stack-name, then click Services.

This allows you to visualize all the metrics for all Lambdas that have a stack name = "Services" as their tag in the past hour.

Your screen should look similar to the screenshot below.

Click the Add to Dashboard button in the top right corner.

Select Create new, then enter Lambda-Services-Stack as the dashboard name. Click the small checkmark next to the textbox to save.

Click Add to dashboard.

In the left navigation menu under Dashboards, click Lambda-Service-Stack.

You should be able to see your newly created dashboard.

You can also create a new dashboard by completing the following steps:

In the left navigation menu, click Dashboards.

Click the Create dashboard button.

Name the dashboard Metrics-Explorer-Widget, then click create dashboard.`

Select the Explorer widget, then click create.

You can now add any resource and filter it by tag/resource property and directly save this dashboard.

sumber : catalog.workshops.aws

Use metrics explorer to monitor resources by their tags and properties

Visualize your resources by their tags and properties by using CloudWatch metrics explorer.

Use metrics explorer to monitor resources by their tags and properties

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Metrics explorer is a tag-based tool that enables you to filter, aggregate, and visualize your metrics by tags and resource properties, to enhance observability for your services. This gives you a flexible and dynamic troubleshooting experience, so that you to create multiple graphs at a time and use these graphs to build your application health dashboards.

Metrics explorer visualizations are dynamic, so if a matching resource is created after you create a metrics explorer widget and add it to a CloudWatch dashboard, the new resource automatically appears in the explorer widget.

For example, if all of your EC2 production instances have the production tag, you can use metrics explorer to filter and aggregate metrics from all of these instances to understand their health and performance. If a new instance with a matching tag is later created, it's automatically added to the metrics explorer widget.

With metrics explorer, you can choose how to aggregate metrics from the resources that match the criteria, and whether to show them all in a single graph or on different graphs within one metrics explorer widget.

Metrics explorer includes templates that you can use to see useful visualization graphs with one click, and you can also extend these templates to create completely customized metrics explorer widgets.

Metrics explorer supports metrics emitted by AWS and EC2 metrics that are published by the CloudWatch agent, including memory, disk, and CPU metrics. To use metrics explorer to see the metrics that are published by the CloudWatch agent, you might have to update your CloudWatch agent configuration file. For more information, see CloudWatch agent configuration for metrics explorer

To create a visualization with metrics explorer and optionally add it to a dashboard, follow these steps.

To create a visualization with metrics explorer

Open the CloudWatch console at https://console.aws.amazon.com/cloudwatch/.

In the navigation pane, choose Explorer.

Do one of the following:

To use a template, select it in the box that currently shows Empty Explorer.

Depending on the template, the explorer might immediately display graphs of metrics. If it doesn't, choose one or more tags or properties in the From box and then data should appear. If it doesn't, use the options at the top of the page to display a longer time range in the graphs.

To create a custom visualization, under Metrics, choose a single metric or all the available metrics from a service.

After you choose a metric, you can optionally repeat this step to add more metrics.

For each metric selected, CloudWatch displays the statistic that it will use immediately after the metric name. To change this, choose the statistic name, and then choose the statistic that you want.

Under From, choose a tag or a resource property to filter your results.

After you do this, you can optionally repeat this step to choose more tags or resource properties.

If you choose multiple values of the same property, such as two EC2 instance types, the explorer displays all the resources that match either chosen property. It's treated as an OR operation.

If you choose different properties or tags, such as the Production tag and the M5 instance type, only the resources that match all of these selections are displayed. It's treated as an AND operation.

(Optional) For Aggregate by, choose a statistic to use to aggregate the metrics. Then, next to for, choose how to aggregate the metric from the list. You can aggregate together all the resources that are currently displayed, or aggregate by a single tag or resource property.

Depending on how you choose to aggregate, the result may be a single time series or multiple time series.

Under Split by, you can choose to split a single graph with multiple time series into multiple graphs. The split can be made by a variety of criteria, which you choose under Split by.

Under Graph options, you can refine the graph by changing the period, the type of graph, the legend placement, and the layout.

To add this visualization as a widget to a CloudWatch dashboard, choose Add to dashboard.

CloudWatch agent configuration for metrics explorer

To enable metrics explorer to discover EC2 metrics published by the CloudWatch agent, make sure that the CloudWatch agent configuration file contains the following values:

In the metrics section, make sure that the aggregation_dimensions parameter includes ["InstanceId"]. It can also contain other dimensions.

In the metrics section, make sure that the append_dimensions parameter includes a {"InstanceId":"${aws:InstanceId}"} line. It can also contain other lines.

In the metrics section, inside the metrics_collected section, check the sections for each resource type that you want metrics explorer to discover, such as the cpu, disk, and memory sections. Make sure that each of these sections has a "resources": [ "*"] line..

In the cpu section of the metrics_collected section, make sure there is a "totalcpu": true line.

You must use the default CWAgent namespace for the metrics collected by the CloudWatch agent, instead of a custom namespace.

The settings in the previous list cause the CloudWatch agent to publish aggregate metrics for disks, CPUs, and other resources that can be plotted in metrics explorer for all the instances that use it.

sumber : docs.aws.amazon.com

Monitor Your Wavefront Service with the Wavefront Usage Integration

Monitor and troubleshoot your Wavefront instance and see points per second information.

Monitor Your Wavefront Service with the Wavefront Usage Integration

Monitor and troubleshoot your Wavefront instance and see points per second information.

Learn About Your Usage with Dashboards

Wavefront Service and Proxy Data Dashboard

Overall Data Rate Logs Stats

Wavefront Stats and Alert Stats

Ingest Rate by Source

Rate of New Data Creations

Wavefront Namespace Usage Explorer Dashboard

Wavefront Ingestion Policy Explorer Dashboard

PPS P95 Dashboards for Billable and Burndown

Scenario: Avoid Exceeding the Committed Rate

Learn More!

Tanzu Observability by Wavefront includes the Wavefront Usage integration. Use can use the Wavefront Usage integration dashboards to:

Get usage information for your Wavefront instance and Wavefront proxy.

Drill down into the metrics namespaces to discover trends.

Examine the points per second (PPS) based on predefined ingestion policies.

See whether the ingested metrics are at 95% of committed rate. Optionally, get alerts if that happens.

In addition, you can create your own dashboards, charts, and alerts by using the internal metrics to investigate a problem.

See Monitoring Wavefront Proxies for details on investigating proxy usage.

Learn About Your Usage with Dashboards

The Wavefront Usage integration includes the following dashboards:

Dashboard Focus Description

Wavefront Service and Proxy Data Examine usage data. Provides visibility into your use of the Wavefront service via internal metrics that Tanzu Observability collects automatically. Preconfigured charts monitor the data ingestion rate for points, spans, and distributions, the data scan rate, and different proxy metrics.Wavefront Namespace Usage Explorer Explore metrics namespaces to see the trend of your metrics ingestion rate. Tracks the number of time series metrics received for the first 3 levels of your metric namespace. Also tracks the breakdown of histograms, spans, and delta counters.Wavefront Ingestion Policy Explorer In environments where ingestion policies are defined, investigate usage for each account and ingestion policy. Provides a granular breakdown of the ingestion across your organization by ingestion policies, accounts, sources, and types. Use this dashboard to identify who is contributing the most to your usage and manage your overall usage of the Wavefront service.Committed Rate vs Monthly Usage (PPS P95) for Billable Avoid exceeding the monthly commitment for your instance by exploring dashboards and creating alerts. Important: Use only if you have a billable commit contract with Tanzu Observability.

Provides a detailed breakdown of your monthly usage against your monthly commitment. Enables you to take appropriate action when usage reaches around 95% of your monthly commitment.

Usage (PPS) vs Remaining Balance (PPS P95) for Burndown Avoid exceeding the burndown commitment for your instance by exploring dashboards and creating alerts. Important: Use only if you have a burndown commit contract with Tanzu Observability.

Provides details about your usage against your remaining burndown balance and a breakdown of your usage per billing period. Enables you to take appropriate action when usage reaches around 95% of your burndown commitment.

Wavefront Service and Proxy Data Dashboard

The Wavefront Service and Proxy Data dashboard helps you find reasons for system slowdown.

The charts show internal metrics information and allow you to examine many aspects of your Wavefront instance. See Monitoring Wavefront Proxies for details on the Proxy Overview and Proxy Troubleshooting sections.

Overall Data Rate

The Overall Data Rate section shows the overall point rate being processed by the Wavefront servers.

These charts use the following metrics:

Data Ingestion Rate

~collector.points.reported – Points coming from the proxy.

~collector.direct-ingestion.points.reported – Points coming through direct ingestion.

~collector.delta_points.reported – Delta counter points.

~externalservices.<*>.points – Per-second rate at which cloud integrations, such as AWS, GCP, and Azure, ingest new points.

For example, use ~externalservices.ec2.points for the EC2 points.

externalservices.points.reported – Shows how you get billed for external services.

Data Scan Rate

~query.metrics_scanned – The per-second rate at which metrics are being queried through dashboards, custom charts, derived metrics, or API calls.

~query.spans_scanned – The per-second rate at which spans are being queried through dashboards, custom charts, or API calls.

~query.histograms_scanned – The per-second rate at which histograms are being queried through dashboards, custom charts, derived metrics, or API calls.

Logs Stats

The Logs Stats section contains charts that track the amount of logs that are successfully delivered and successfully queried by the Wavefront service. Also, the section shows charts that track the amount of logs that are received, queued, and blocked by the Wavefront proxy.

sumber : docs.wavefront.com