Docker Monitoring Tools for Docker Container

Manage containers with Docker monitoring and visualization tools

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View Performance Metrics

Track Deployment

Improve Capacity Planning

Monitor Applications

Analyze Systems

Track Docker resource performance metrics

Advanced Host Monitoring for Enterprise Use case type 1 2 Features Array Item - features item image

SolarWinds^® Server & Application Monitor (SAM) enables users to automatically view, track, and correlate key container metrics, including CPU, memory usage, and uptime, for individual Docker containers. SAM offers out-of-the-box templates and visualization tools to provide real-time visibility into your environment. Users can visualize metrics on easy-to-use dashboards and receive instant notifications for resource depletion.

SAM is also designed to avoid common Docker monitoring issues associated with traditional server monitoring software by detecting issues directly arising from the container layer, even in complex microservices architecture running on Linux.

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Monitor multiple containers and container deployment

Tomcat Monitoring - Apache Tomcat Performance Monitoring Tool Use case type 1 1 Features Array Item - features item image

Many organizations need to run multiple containers, but shared resources can impede Docker container performance. SAM is built to enhance Docker container performance monitoring by letting users isolate containers to debug issues or even view neighboring (and contentious) containers on the same host. By identifying issues such as CPU or memory usage depletion, users can better optimize resource usage and enhance server performance, supporting your environment’s scalability. SolarWinds SAM also has features for logging performance information for post-triage analysis.

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Use infrastructure metrics for capacity planning

Server Capacity Planning Tool for IT Infrastructure Use case type 1 2 Features Array Item - features item image

SAM enables users to collect docker metrics and time series data on current deployments of hosts, Docker containers, and applications to better plan ahead. Users can gain insight into individual containers or multiple containers on a single host to more accurately forecast future problems around capacity depletion. This ensures a smooth provisioning workflow. Easily compare average and peak loads and times for better awareness around resource availability.

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Monitor Docker application performance

Docker Monitoring - Container & Application Monitor Tool Use case type 1 3 Features Array Item - features item image

Because Docker container architecture can be complicated, improving the performance of containerized applications requires full-stack monitoring. SAM helps correlate application performance metrics with container and host metrics, helping identify root causes for poor application performance. This is achieved through effective instrumentation across the stack. Using one dashboard, you can manage application metrics alongside container monitoring and host metrics and better understand availability and performance overall.

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Track and analyze overall system performance

Exchange Monitoring Tool - Monitor Server Performance Use case type 1 4 Features Array Item - features item image

Whether you’re running containers on-premises, in the cloud (like AWS or Azure), or in hybrid environments, SAM enables you to visualize and monitor your system performance. By comparing performance metrics from different parts of your infrastructure monitoring and monitoring overall resource usage, you can gain insights into the end-to-end performance of your containerized applications. SAM is built to correlate application performance with infrastructure, network, and systems issues to help you troubleshoot quickly.

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Get More on Docker Monitoring:

Do you find yourself asking…

Docker monitoring involves viewing and tracking metrics to ensure Docker containers are functioning optimally. Docker is a rapidly emerging DevOps tool. Docker packs, ships, and runs applications as lightweight, portable, self-sufficient containers capable of running on different platforms. The tool’s containers are especially useful for environments aiming to scale rapidly.

More lightweight than physical machines or virtual machines, these containers offer enhanced security by providing extra isolation. They act as “mini-hosts” to enable sets of applications to run independently. But since containers aren’t virtual machines (VMs) or physical machines, they bring new network and configuration issues. Docker containers are neither operating systems nor applications, and organizations cannot rely on traditional monitoring software to handle Docker performance monitoring.

Docker monitoring requires collecting different metrics from different system components affecting container performance, including data from hosts, containers, and databases. Docker performance monitoring is necessary to detect issues before they cause production-level issues and to ensure applications in Docker containers are running smoothly.

Docker monitoring involves viewing and tracking metrics to ensure Docker containers are functioning optimally. Docker is a rapidly emerging DevOps tool. Docker packs, ships, and runs applications as lightweight, portable, self-sufficient containers capable of running on different platforms. The tool’s containers are especially useful for environments aiming to scale rapidly.
More lightweight than physical machines or virtual machines, these containers offer enhanced security by providing extra isolation. They act as “mini-hosts” to enable sets of applications to run independently. But since containers aren’t virtual machines (VMs) or physical machines, they bring new network and configuration issues. Docker containers are neither operating systems nor applications, and organizations cannot rely on traditional monitoring software to handle Docker performance monitoring.
Docker monitoring requires collecting different metrics from different system components affecting container performance, including data from hosts, containers, and databases. Docker performance monitoring is necessary to detect issues before they cause production-level issues and to ensure applications in Docker containers are running smoothly.
Docker monitoring works by tracking metrics affecting the functioning of Docker containers. By ensuring problems are detected and addressed early on, organizations can optimize the performance of containerized applications. Containers have a shorter life span than typical hosts. Since Docker containers operate between hosts and applications, effective monitoring should include:
Monitoring CPU and memory use in the host and applications. Docker performance can be impacted by the availability and performance of these resources.
Monitoring performance metrics for individual Docker containers. Docker container monitoring can refer to tracking metrics pertaining to the individual containers running virtual hardware separately from one another. Tools like cAdvisor can be used as a metric collector.
Monitoring containerized applications. Application monitoring helps identify issues with Docker environments and help troubleshoot problems before they become serious.
Docker performance monitoring can be done with different software—often including open source tools like Prometheus and visualization platforms like Grafana—usually offering an integrated dashboard for monitoring different metrics across your network architecture. Docker container monitoring tools can send alerts when resources are at low availability or when they exhibit performance issues, notify the user when individual containers are using excessive resources, and enable capacity planning. They often pull data from a dedicated API endpoint.