Best IT Infrastructure Monitoring Tools for Observe

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Compare the Top IT Infrastructure Monitoring Tools that integrate with Observe as of October 2025

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This a list of IT Infrastructure Monitoring tools that integrate with Observe. Use the filters on the left to add additional filters for products that have integrations with Observe. View the products that work with Observe in the table below.

What are IT Infrastructure Monitoring Tools for Observe?

IT infrastructure monitoring tools are software solutions designed to track the performance, availability, and health of an organization's IT systems and networks. These tools provide real-time insights into hardware, software, servers, databases, and network components, helping IT teams identify and resolve potential issues before they impact business operations. By continuously monitoring system metrics, such as CPU usage, memory consumption, bandwidth, and disk space, these tools offer proactive alerts and notifications when thresholds are breached. Some monitoring solutions also include automated troubleshooting capabilities, analytics, and reporting features to improve decision-making. Ultimately, IT infrastructure monitoring tools enhance operational efficiency, minimize downtime, and ensure the reliability of critical IT systems. Compare and read user reviews of the best IT Infrastructure Monitoring tools for Observe currently available using the table below. This list is updated regularly.

  • 1
    Amazon CloudWatch
    Amazon CloudWatch is a monitoring and observability service built for DevOps engineers, developers, site reliability engineers (SREs), and IT managers. CloudWatch provides you with data and actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health. CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications, and services that run on AWS and on-premises servers. You can use CloudWatch to detect anomalous behavior in your environments, set alarms, visualize logs and metrics side by side, take automated actions, troubleshoot issues, and discover insights to keep your applications. CloudWatch alarms watch your metric values against thresholds that you specify or that it creates using ML models to detect anomalous behavior.
    3 Ratings
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  • 2
    Telegraf

    Telegraf

    InfluxData

    Telegraf is the open source server agent to help you collect metrics from your stacks, sensors and systems. Telegraf is a plugin-driven server agent for collecting and sending metrics and events from databases, systems, and IoT sensors. Telegraf is written in Go and compiles into a single binary with no external dependencies, and requires a very minimal memory footprint. Telegraf can collect metrics from a wide array of inputs and write them into a wide array of outputs. It is plugin-driven for both collection and output of data so it is easily extendable. It is written in Go, which means that it is a compiled and standalone binary that can be executed on any system with no need for external dependencies, no npm, pip, gem, or other package management tools required. With 300+ plugins already written by subject matter experts on the data in the community, it is easy to start collecting metrics from your end-points.
    Starting Price: $0
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  • 3
    Prometheus

    Prometheus

    Prometheus

    Power your metrics and alerting with a leading open-source monitoring solution. Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides stored time series, Prometheus may generate temporary derived time series as the result of queries. Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API. Prometheus is configured via command-line flags and a configuration file. While the command-line flags configure immutable system parameters (such as storage locations, amount of data to keep on disk and in memory, etc.). Download: https://sourceforge.net/projects/prometheus.mirror/
    Starting Price: Free
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