SolarWinds AppOptics Metric Pack, 1000 metrics add-on, 1Yr Service – 41902

 

• Auto-instrumented application service topology map
• Pinpoint the root cause of performance issues
• Performance monitoring
• Full-stack visibility
• Modern infrastructure monitoring
• AWS monitoring

PN: 41902

 

SolarWinds AppOptics

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Overview

 

In AppOptics, a Metric is the variable you’re measuring. This might be little bit different from other systems you may be familiar with, where a metric is the combination of a variable you’re measuring, combined with the instance you are taking the measurement from.

If, for example, you’re measuring CPU Utilization on Server1, Server2, and Server3, you might expect each measurement to be a different Metric. With tagged metrics, each unique metric name can be associated with an unlimited number of streams that can be filtered and grouped by tags. This is really handy, because it means you don’t have to individually add each data stream to make a chart; rather, you simply add the metric CPU Utilization and then use tags to filter and group to show the data streams you want to see. E.g. to see one line per server, you group by the server or instance “name” tag. If you only want to see the servers in a specific region, you can filter on a “region” tag and group on the server or instance “name” tag.

Let’s take a look at how this works in practice. The metrics section is a tab in the Dashboards and Metrics page.

The metrics viewer presents a list of all metrics. You can filter this down by entering a typeglob, or even a few keywords into the filter field. Following my CPU Utilization example above, I’ve typed in the keywords ‘ec2’ and ‘cpu’. This returns three metrics, and from this shortened list, I select AWS.EC2.CPUUtilization, which is the CPU utilization metric as measured by AWS.

The viewer displays a graph containing the first 25 streams. Each stream is a distinct AWS instance which contains tags such as name, region, instancetype, az, environment and more. I can page through my streams by hitting the left and right arrow buttons, or I can click on one or more tags to filter and group by to better match my search. In this example, I chose the role tag and check the “Group on this tag” check box, and then click “Done” to group by role.

 

Mass Edit / Delete Metrics

If you want to edit the attributes of a group of metrics or delete them, you can search them by typing search patterns into the search bar and then checking the check box right underneath it. That will select all the metrics found in the search and unveil two buttons: the “Set Default Attributes” and the “Delete Selected Metrics” buttons:

Any changes you make will be applied to all the metrics you selected.

 

Metric Types

In the metric list you will see the column “Type” which describes the type of metric that is created. AppOptics currently supports 3 metric types:

• Metric: A metric is any type of numerical variable used to gauge some quantifiable measure of performance of a type of object (server, application, business, sensor, etc.) that can be monitored. You can also count events using gauges as well.
• Composite: You can create a persisted composite metric in order to specify arbitrarily complex queries against your native metrics.
• Sampled: A sampled metric is gathered by requests that are sampled by distributed tracing. This can include response times, hit rates, counts, etc.

 

Default Metric Attributes

Metric attributes are used to configure default settings on the metric itself, all of which may be overridden by the stream attributes which you can set after adding the metric to a chart. Click on the Set Default Attributes to bring up the configuration dialog.

The following attributes can be configured:

• Label: Metric name displayed by the tooltip.
• Metric Color: Set the color of your metric either via hex code or the color picker.
• Units: Units label displayed by the tooltip.
• Summary function: When visualizing complex measurements or a rolled-up measurement, this allows you to choose which statistic to use. If unset, defaults to “average”. Valid options are one of: [max, min, average, sum, count].
• Service-side aggregation: When enabled, measurements sent using the same tag set will be aggregated into single measurements on an interval defined by the period of the metric. If there is no period defined for the metric then all measurements will be aggregated on a 60-second interval.
• Metric reports every: Interval at which you are sending us data (otherwise knows as the period). We use this setting alonkg with the Reports Infrequently setting to properly handle gap-detection for your data. If the period is set, gaps will show for periods where no data is received. If it is not set, data points will be connected.
• Show gaps in data: Some metrics are reported opportunistically. For example, every n seconds a measurement is sent only if there is new data. This results in a sparsely populated series. We use this setting in combination with the Period to correctly handle Gap-Detection.
• Stack metric sources: Defines whether or not multiple sources for a metric should be aggregated in a visualization (e.g. stacked graphs).

 

Your business runs on applications, and when they go down or run slowly, it can impact the business in lost productivity, customers, or revenue. To add to the complexity, your IT environment is changing, and workloads can be spread across data centers and cloud resources. You need to monitor the availability and performance of applications and infrastructure, regardless of where they are, so you can identify potential issues early and address them before they impact users.

Key Features

 

Features

AppOptics speeds root cause analysis of application performance issues across AWS, Azure, and hybrid environments.

Unprecedented Visibility

Complete visibility into the health and performance of your applications and their supporting infrastructure.

Performing as Designed

Create performance metrics to automate monitoring of business-critical services and applications.

Quick Problem Identification, Fast Resolution

Minimize downtime with early warning notifications. If systems fail, help ensure you can recover quickly.

Cost-effectively Scale with Your Business

Support the ebbs and flows of your business. Use a cloud-scale APM tool designed for today’s dynamic IT environment.

 

Auto-instrumented application service topology map

Provide users with a view showing the relationships between services and their dependencies

 

Pinpoint the root cause of performance issues

Find slow queries, bugs, inefficient code, or problems with the infrastructure.

 

Performance monitoring

Comprehensive performance monitoring, from custom on-premises to your highly distributed cloud applications, in one product.

 

Full-stack visibility

Remove the wall between Application and Infrastructure metrics, allowing combined dashboards.

 

Modern infrastructure monitoring

Consolidated monitoring of all your servers, hosts, containers, and serverless environments.

 

AWS monitoring

SaaS-based monitoring of your AWS services and custom applications.

 

Azure monitoring

SaaS-based monitoring of your Azure services and custom applications.

 

Identify hotspots early

Quickly identify which hosts have exceeded thresholds and could be impacting application availability and performance.

 

150+ Plugins and Integrations

With over 150 out-of-the-box plugins, integrations, and custom metrics, you have everything you need to monitor your critical systems.

 

Digital Experience Monitoring

Make your websites more reliable with client-side performance monitoring integrated with your APM.

 

Log Management and Analytics

Collect, search, and analyze the log data of your applications and supporting infrastructure to quickly pinpoint problems.

 

Identify and alert

Be the first to know when there’s an availability or performance issue.

 

Reduce MTTR

AppOptics is a converged APM tool bringing application and infrastructure monitoring together on common dashboards.

 

Accelerate troubleshooting

Thread the needle on application performance issues by identifying the functioning code causing the problem.

 

Align performance goals with business goals

Use AppOptics to measure application and business performance and their impact on your business

 

Optimize for speed, efficiency, and cost

Correlate resource allocation to application performance, so you use what you need—no more, no less.

 

Published on lastbestdeal.com

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Datasheet

 

 

Published on lastbestdeal.com