List of the Top 7 IT Infrastructure Monitoring Tools for AWS Marketplace in 2026

Gain complete insight into the performance of your cloud infrastructure, regardless of scale, with easy access to all your metrics in a single location to enhance efficiency. The Groundcover platform is designed specifically for cloud-native environments, providing robust monitoring capabilities that allow for immediate visibility into the health and performance of your infrastructure, all with a streamlined deployment process. Optimize troubleshooting - as a centralized resource for all your infrastructure, application, and customer metrics, it enables you to query and analyze your cloud setups using real-time data and comprehensive insights across your entire stack. Store everything effortlessly - retain any volume of metrics without the stress of cardinality or retention constraints. Your subscription pricing will not be impacted by the level of detail in the metrics you choose to store or analyze.

Grafana Labs provides the leading AI-powered observability platform, built around Grafana—the most widely adopted open source technology for dashboards and visualization. Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Observability Platforms, Grafana Labs supports more than 25 million users and thousands of organizations worldwide, from startups to Fortune 500 enterprises. Grafana Cloud is the open observability cloud, delivering full-stack visibility across modern applications, infrastructure, and digital services. Built on open source, open standards, and open ecosystems, the platform unifies metrics, logs, traces, and profiles into a scalable observability experience that helps teams detect issues earlier, resolve incidents faster, and operate more efficiently. At the core of Grafana Cloud is the open-source LGTM stack: Grafana for dashboards and visualization, Mimir for scalable metrics, Loki for logs, and Tempo for distributed tracing. Native OpenTelemetry and Prometheus support make it easy to collect telemetry from any environment, while hundreds of integrations connect existing systems and tools—allowing organizations to extend observability without vendor lock-in. Grafana Cloud also introduces powerful AI-driven observability capabilities. Grafana Assistant helps teams explore data, investigate incidents, and troubleshoot faster through an intelligent interface built for engineers. Adaptive Telemetry identifies high-value signals and aggregates the rest, helping organizations reduce telemetry costs while maintaining operational insight. With solutions spanning Kubernetes monitoring, application and infrastructure observability, frontend monitoring, database observability, incident response, synthetic monitoring, and performance testing, Grafana Cloud delivers the clarity teams need to move faster and operate with confidence.

Amazon CloudWatch acts as an all-encompassing platform for monitoring and observability, specifically designed for professionals like DevOps engineers, developers, site reliability engineers (SREs), and IT managers. This service provides users with essential data and actionable insights needed to manage applications, tackle performance discrepancies, improve resource utilization, and maintain a unified view of operational health. By collecting monitoring and operational data through logs, metrics, and events, CloudWatch delivers an integrated perspective on both AWS resources and applications, alongside services hosted on AWS and on-premises systems. It enables users to detect anomalies in their environments, set up alarms, visualize logs and metrics in tandem, automate responses, resolve issues, and gain insights that boost application performance. Furthermore, CloudWatch alarms consistently track metric values against set thresholds or those created by machine learning algorithms to effectively spot anomalies. With its extensive capabilities, CloudWatch is a crucial resource for ensuring optimal application performance and operational efficiency in ever-evolving environments, ultimately helping teams work more effectively and respond swiftly to issues as they arise.

Nagios Core serves as the foundational monitoring and alerting engine for numerous development projects within the Nagios ecosystem. Acting as the event scheduler, processor, alert manager, and monitoring tool, it efficiently oversees various system components. To enhance its functionality, Nagios Core offers several APIs that developers can use for additional tasks. Built in C for optimal performance, it is specifically designed to operate seamlessly on Linux and other Unix-like operating systems. This robust architecture allows for extensive customization and scalability to meet diverse monitoring needs.

Splunk simplifies the transformation of data into actionable insights, offering a secure and reliable service that scales effortlessly. By relying on our Splunk experts to manage your IT backend, you can focus on maximizing the value of your data. The infrastructure provided and managed by Splunk ensures a smooth, cloud-based data analytics experience that can be set up within as little as 48 hours. Regular updates to the software mean you will always have access to the latest features and improvements. In just a few days, with minimal requirements, you can tap into the full potential of your data for actionable insights. Complying with FedRAMP security standards, Splunk Cloud enables U.S. federal agencies and their partners to make informed decisions and take action swiftly. The inclusion of mobile applications and natural language processing features further enhances productivity and provides contextual insights, expanding the reach of your solutions with ease. Whether you are overseeing infrastructure or ensuring compliance with data regulations, Splunk Cloud is built to scale efficiently, delivering powerful solutions tailored to your evolving needs. Ultimately, this agility and effectiveness can markedly improve your organization's operational performance and strategic decision-making capabilities. As a result, embracing Splunk can lead to a significant competitive advantage in today’s data-driven landscape.

Zabbix is recognized as a leading enterprise-grade tool designed to monitor extensive metrics in real-time, collected from a diverse range of servers, virtual machines, and network devices. Being an Open Source solution, it provides its robust capabilities at no charge. The platform smartly detects issues within the incoming data flow, which negates the need for constant manual oversight. Its integrated web interface presents various visualizations of your IT environment, thereby improving accessibility and user experience. Additionally, Zabbix features an Event correlation mechanism that minimizes repetitive alerts, allowing users to focus on diagnosing the underlying causes of problems. It is particularly effective for automated monitoring in large, evolving environments and supports the establishment of a distributed monitoring framework while ensuring centralized management. Moreover, Zabbix can easily integrate with all aspects of your IT ecosystem, and its extensive functionalities are accessible from external applications through the Zabbix API, highlighting its flexibility to meet diverse operational demands. This adaptability makes Zabbix a valuable asset for organizations seeking to optimize their monitoring processes.

Elevate your monitoring and alerting strategies by utilizing a leading open-source tool known as Prometheus. This powerful platform organizes its data in the form of time series, which are essentially sequences of values linked to specific timestamps, metrics, and labeled dimensions. Beyond the stored time series, Prometheus can generate temporary derived time series based on the results of queries, enhancing versatility. Its querying capabilities are powered by PromQL (Prometheus Query Language), which enables users to real-time select and aggregate data from time series. The results from these queries can be visualized as graphs, presented in a table format via Prometheus's expression browser, or retrieved by external applications through its HTTP API. To configure Prometheus, users can employ both command-line flags and a configuration file, where flags define unchangeable system parameters such as storage locations and retention thresholds for disk and memory. This combination of configuration methods offers a customized monitoring experience that can accommodate a variety of user requirements. If you’re keen on delving deeper into this feature-rich tool, additional information is available at: https://sourceforge.net/projects/prometheus.mirror/. With Prometheus, you can achieve a level of monitoring sophistication that optimizes performance and responsiveness.