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    Home»Development»End-to-End Monitoring for EC2: Deploying Dynatrace OneAgent on Linux

    End-to-End Monitoring for EC2: Deploying Dynatrace OneAgent on Linux

    April 30, 2025

    Objective: Enable resource monitoring for AWS EC2 instances using the Dynatrace monitoring tool (OneAgent) to gain real-time insights into system performance, detect anomalies, and optimize resource utilization.

    What is Dynatrace?

    Dynatrace is a platform for observability and application performance monitoring (APM) that delivers real-time insights into application performance, infrastructure oversight, and analytics powered by AI. It assists teams in detecting, diagnosing, and resolving problems more quickly by providing comprehensive monitoring across logs, metrics, traces, and insights into user experience.

    Dynatrace OneAgent

    Dynatrace OneAgent is primarily a single binary file that comprises a collection of specialized services tailored to your monitoring setup. These services collect metrics related to various components of your hosts, including hardware specifications, operating systems, and application processes. The agent also has the capability to closely monitor specific technologies (such as Java, Node.js, and .NET) by embedding itself within these processes and analyzing them from the inside. This enables you to obtain code-level visibility into the services that your application depends on.

    Key Features of Dynatrace OneAgent

    • Automatic Deployment – OneAgent installs automatically and starts collecting data without manual configuration.
    • Full-Stack Monitoring – It monitors everything from application code to databases, servers, containers, and networks.
    • AI-Powered Insights – Works with Dynatrace’s Davis AI engine to detect anomalies and provide root cause analysis.
    • Auto-Discovery – Automatically detects services, processes, and dependencies.
    • Low Overhead – Designed to have minimal impact on system performance.
    • Multi-Platform Support – Works with Windows, Linux, Kubernetes, AWS, Azure, GCP, and more.

    Prerequisites to Implement OneAgent

    1. Dynatrace account
    2. AWS EC2 instance with Linux as the operating system and enable the SSH port (22).

    How to Implement Dynatrace OneAgent

    Step 1. Dynatrace OneAgent configuration

    Log in to the Dynatrace portal and search for Deploy OneAgent.

    P1

    Select the platform on which your application is running. In our case, it is Linux.

    P2

    Create a token that is required for authentication.

    P3

    After generating a token, you will receive a command to download and execute the installer on the EC2 instance.

    P4

    Step 2: Log in to the EC2 instance using SSH and run the command to download the installer.

    After this, run the command to run the installer.

    P5

    P6

    The Dynatrace one agent has now been installed on the EC2 instance.

    P7

    Output

    Now we can monitor various resource usage based on application and infrastructure level on the Dynatrace dashboard.

    P8

    Conclusion

    Enabling resource monitoring for AWS EC2 instances using Dynatrace provides comprehensive observability, allowing teams to detect performance issues, optimize resource utilization, and ensure application reliability. By leveraging Dynatrace OneAgent, organizations can automate monitoring, gain AI-driven insights, and enhance cloud efficiency. Implementing this solution not only improves operational visibility but also facilitates proactive troubleshooting, reduces downtime, and optimizes cloud costs.

     

     

    Source: Read More 

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    Published : July 4, 2025, 11:15 a.m. | 37 minutes ago

    Description : In the Linux kernel, the following vulnerability has been resolved:

    thunderbolt: Do not double dequeue a configuration request

    Some of our devices crash in tb_cfg_request_dequeue():

    general protection fault, probably for non-canonical address 0xdead000000000122

    CPU: 6 PID: 91007 Comm: kworker/6:2 Tainted: G U W 6.6.65
    RIP: 0010:tb_cfg_request_dequeue+0x2d/0xa0
    Call Trace:

    ? tb_cfg_request_dequeue+0x2d/0xa0
    tb_cfg_request_work+0x33/0x80
    worker_thread+0x386/0x8f0
    kthread+0xed/0x110
    ret_from_fork+0x38/0x50
    ret_from_fork_asm+0x1b/0x30

    The circumstances are unclear, however, the theory is that
    tb_cfg_request_work() can be scheduled twice for a request:
    first time via frame.callback from ring_work() and second
    time from tb_cfg_request(). Both times kworkers will execute
    tb_cfg_request_dequeue(), which results in double list_del()
    from the ctl->request_queue (the list poison deference hints
    at it: 0xdead000000000122).

    Do not dequeue requests that don’t have TB_CFG_REQUEST_ACTIVE
    bit set.

    Severity: 0.0 | NA

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