Application Real-Time Monitoring Service:Functions and features

Category

Feature

Description

References

Application integration

Integration with Java applications

You can report Java application data by using OpenTelemetry, SkyWalking, Jaeger, and Zipkin.

• Use OpenTelemetry to report the trace data of Java applications
• Use SkyWalking to report Java application data
• Use Jaeger to report Java application data
• Use Zipkin to report Java application data

Integration with PHP applications

You can report PHP application data by using OpenTelemetry.

Integration with Go applications

You can report Go application data by using OpenTelemetry, SkyWalking, Jaeger, and Zipkin.

• Use OpenTelemetry to submit the trace data of a Go application
• Use Jaeger to report Go application data
• Use Zipkin to submit the trace data of a Go application
• Use SkyWalking to report Go application data

Integration with Python applications

You can report Python application data by using OpenTelemetry, SkyWalking, and Jaeger.

• Use OpenTelemetry to report the trace data of Python applications
• Use Jaeger to report Python application data
• Use SkyWalking to report Python application data

Integration with Node.js applications

You can report Node.js application data by using OpenTelemetry and SkyWalking.

• Use Managed Service for OpenTelemetry to submit the trace data of a Node.js application
• Report Node.js application data
• Use SkyWalking to report Node.js application data

Integration with .NET applications

You can report .NET application data by using OpenTelemetry, SkyWalking, Jaeger, and Zipkin.

• Use OpenTelemetry to report the trace data of .NET applications
• Use Jaeger to report the trace data of .NET applications
• Use Zipkin to report .NET application data
• Use SkyWalking to report .NET application data

Integration with C++ applications

You can report C++ application data by using OpenTelemetry and Jaeger.

• Use Jaeger to report C++ application data
• Use OpenTelemetry to report the trace data of C++ applications

Integration with Ruby applications

You can report Ruby application data by using OpenTelemetry.

Integration with Swift applications

You can report Swift application data by using OpenTelemetry.

Integration with Android applications

You can report Android application data by using OpenTelemetry.

Integration with Rust applications

You can report Rust application data by using SkyWalking.

Integration with NGINX

You can report the trace data of NGINX by using SkyWalking, Jaeger, and Zipkin.

• Use Jaeger to perform tracing analysis on NGINX
• Use Zipkin to perform tracing analysis on NGINX
• Use SkyWalking to perform tracing analysis on NGINX

Integration with NGINX Ingresses

You can report the trace data of NGINX Ingresses to the Managed Service for OpenTelemetry console.

Application management

Application list

The Applications page displays the integrated applications and common metrics, such as the number of requests, number of errors, and duration.

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Application overview

The Overview page displays the information about applications, such as the number of requests, number of errors, duration, and number of instances.

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Application topology

The Application Topology page displays the topology of call relationships between the internal services of an application.

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Provided services

The Provided Services page displays the details of the services provided by an application, such as span calls, message queues, and scheduled tasks.

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Used services

The Used Services page displays the details of the services used by an application, such as external calls, database calls, and message queues.

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Trace analysis

This feature is based on full trace data in storage and allows you to specify filter conditions and aggregate dimensions for real-time analysis. This can meet your business requirements in different scenarios.

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Database analysis

This feature allows you to filter databases by database type, database name, and instance name. You can also query and analyze abnormal and slow SQL queries.

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Exception analysis

This feature allows you to filter exceptions by exception name, span name, and host. You can also optimize the abnormal code.

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Event analysis

This feature is based on the detailed data of generated alert events and allows you to specify multiple filter conditions for real-time analysis. This can meet your business requirements in different scenarios.

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Trace Explorer

Trace list

You can quickly filter traces by status, duration, application name, span name, and host address. You can also specify multiple filter conditions for each query. The Trace Explorer page displays trace information based on the specified filter conditions. The displayed information includes the column chart of the numbers of spans and HTTP errors, the time series curve of duration percentile, and the span list.

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Scatter plot

On the Scatter plot tab, a time-consumption distribution chart is displayed, with time as the horizontal axis and duration metrics as the vertical axis. You can move the pointer over a point to view the basic information of the corresponding trace. You can click a point to view the call details of the corresponding trace.

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Trace aggregation

Trace Explorer allows you to analyze a queried span based on various dimensions. However, you may need to analyze traces that consist of a large number of spans. The trace aggregation feature allows you to query up to 5,000 distributed traces by using the specified conditions and query the corresponding spans based on the trace IDs. Then, you can aggregate the queried spans to obtain the results. During this process, the integrity of the aggregated traces is guaranteed.

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Trace topology

The Full Link Topology tab displays an application topology that is generated after traces are aggregated. You can view the topology of call relationships between applications. You can also view the number of requests, number of errors, and response time.

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Trace details

In the details panel of a trace, you can view all the spans, start time, errors, total duration of the trace, and the duration of each span.

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Scenario-based analysis

Exception analysis

You can filter exceptions by application name, exception name, span name, and host. You can also optimize the abnormal code.

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Slow request analysis

You can select a time range to view the data of all slow requests such as slow spans and slow SQL queries within the specified time range.

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Database analysis

You can filter SQL statements by application name, database type, database name, and instance name. For example, you can search for abnormal SQL queries or slow SQL queries.

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Advanced query

Trace query

You can query data based on the trace data stored in a Logstore in Simple Log Service.

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Log query

You can query logs based on the trace data stored in a Logstore in Simple Log Service. This feature is applicable to log association scenarios.

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Alert management

Alert rules

You can create an alert rule for a specific application. If an alert is triggered, the system sends alert notifications to the specified contacts by using the specified notification methods. This way, the contacts can resolve issues at the earliest opportunity. Supported alert detection types are detection based on static thresholds and detection based on dynamic thresholds.

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Alert notifications

On the Alert Notification page, you can filter alerts and view the content of an alert that is assigned based on a notification policy. You can also manage the generated alerts.

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Event analysis

This feature is based on the detailed data of generated alert events and allows you to specify multiple filter conditions for real-time analysis. This can meet your business requirements in different scenarios.

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Alert policies

You can create alert policies, such as notification policies, escalation policies, and silence policies.

Alert contacts

You can set the alert contacts to which alert notifications are sent. The notification methods include phone calls, text messages, emails, DingTalk, WeCom, Lark, and webhook.

System configuration

Cluster configuration

You can enable or disable data capturing. You can also configure and display the data storage period.

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Log association

You can configure the association between an application and a Logstore in Simple Log Service to meet the requirements for log association analysis during trace query and analysis.

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Usage statistics

You can query the volume of written data by specifying the application name and data type. This helps you estimate costs.