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OpenTelemetry Beego monitoring [otelbeego]

OpenTelemetry Beego is an OpenTelemetry instrumentation for the Beego web framework, a popular open-source web framework for building web applications in Go. This article will teach you how to monitor Beego performance using OpenTelemetry…

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OpenTelemetry Beego is an OpenTelemetry instrumentation for the Beego web framework, a popular open-source web framework for building web applications in Go.



This article will teach you how to monitor Beego performance using OpenTelemetry observability framework.






What is Beego?



Beego is an open source web framework written in Go. It follows the Model-View-Controller (MVC) architectural pattern and provides a set of tools and features for rapidly building web applications and APIs. Beego focuses on simplicity, scalability, and modularity.






What is OpenTelemetry?



OpenTelemetry is an open-source observability framework that aims to standardize and simplify the collection, processing, and export of telemetry data from applications and systems.



OpenTelemetry supports multiple programming languages and platforms, making it suitable for a wide range of applications and environments.



OpenTelemetry enables developers to instrument their code and collect telemetry data, which can then be exported to various OpenTelemetry backends or observability platforms for analysis and visualization. The OpenTelemetry Collector acts as a central component for receiving, processing, and exporting telemetry data, providing advanced capabilities like batching, filtering, and routing.






OpenTelemetry Beego



OpenTelemetry Beego allows developers to monitor the performance and behavior of their Beego applications, providing insights into application usage patterns, resource utilization, and performance bottlenecks.



To install otelbeego OpenTelemetry instrumentation:




go get go.opentelemetry.io/contrib/instrumentation/github.com/astaxie/beego/otelbeego











Usage



To integrate OpenTelemetry with Beego, you can use the OpenTelemetry Go SDK to instrument your Beego application and collect telemetry data. By adding OpenTelemetry instrumentation to your application, you can collect distributed traces, metrics, and logs, adding observability to your Beego-based web application.



You can instrument Beego by installing with OpenTelemetry middleware:




import (
"github.com/astaxie/beego"
"go.opentelemetry.io/contrib/instrumentation/github.com/astaxie/beego/otelbeego"
)

mware := otelbeego.NewOTelBeegoMiddleWare("service-name")
beego.RunWithMiddleWares(":7777", mware)









Instrumenting templates rendering



To instrument templates rendering, disable autorender and use helpers from otelbeego package:




import "go.opentelemetry.io/contrib/instrumentation/github.com/astaxie/beego/otelbeego"

beego.BConfig.WebConfig.AutoRender = false

err := otelbeego.Render(&c.Controller)






See the example and the reference:








What is Uptrace?



Uptrace is an open source APM for OpenTelemetry that supports distributed tracing, metrics, and logs. You can use it to monitor applications and troubleshoot issues. For more details, see the OpenTelemetry Go guide and compare with top APM tools.



Uptrace Overview



Uptrace comes with an intuitive query builder, rich dashboards, alerting rules, notifications, and integrations for most languages and frameworks.



Uptrace can process billions of spans and metrics on a single server and allows you to monitor your applications at 10x lower cost.



In just a few minutes, you can try Uptrace by visiting the cloud demo (no login required) or running it locally with Docker. The source code is available on GitHub.






What's next?



By using OpenTelemetry with Beego, you can leverage the capabilities of both frameworks to build scalable, observable, and high-performance web applications.



Next, instrument more operations to get a more detailed picture. Try to prioritize network calls, disk operations, database queries, errors, and logs.



You can also create your own instrumentations using OpenTelemetry Go Tracing API.

1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Remote Code Execution (RCE) Defense
Syntax validiert (0 Fehler)
title: Detect Exploitation - OpenTelemetry Beego monitoring [otelbeego]
id: 82a0203b-82d6-45fd-9d1e-50d71937c30c
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-26
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-26"
        description = "YARA Signature for "
    strings:
        $str = "OpenTelemetry Beego monitoring" ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("OpenTelemetry Beego monitoring otelbeego")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count
Syntax validiert (0 Fehler)
message: "*OpenTelemetry Beego monitoring otelbeego*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "OpenTelemetry Beego monitoring otelbeego"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc

2. Cyber Threat Intelligence & Forensik

🎯
MITRE ATT&CK Matrix Navigator 14 Taktiken
Reconnaissance
-
Resource Development
-
Initial Access
Execution
Persistence
-
Privilege Escalation
Defense Evasion
Credential Access
-
Discovery
-
Lateral Movement
-
Collection
-
Command and Control
Exfiltration
-
Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich OpenTelemetry Beego monitoring [otelbeeg.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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