Top 10 Best Cloud Infrastructure Monitoring Software of 2026

Datadog is a comprehensive cloud monitoring and observability platform that provides real-time insights into infrastructure, applications, logs, and security across multi-cloud and hybrid environments. It collects metrics, traces, and logs from thousands of integrations, including AWS, Azure, GCP, Kubernetes, and SaaS apps, enabling unified dashboards, AI-driven alerts, and automated remediation. With advanced analytics and machine learning, it helps DevOps and engineering teams detect anomalies, optimize performance, and ensure reliability at scale.

Dynatrace is an AI-powered observability platform specializing in full-stack monitoring for cloud infrastructure, applications, microservices, and end-user experiences. It offers automatic discovery and topology mapping across multi-cloud and hybrid environments, providing deep visibility into performance metrics, logs, traces, and events. With its Davis AI engine, Dynatrace delivers causal root cause analysis, anomaly detection, and predictive insights to minimize downtime and optimize resources.

New Relic is a leading observability platform specializing in full-stack monitoring for cloud infrastructure, applications, and user experiences. It collects and analyzes telemetry data including metrics, logs, traces, and events from hosts, containers, Kubernetes, serverless functions, and major cloud providers like AWS, Azure, and GCP. The platform enables proactive issue detection, root cause analysis, and performance optimization through customizable dashboards, AI-driven insights, and correlated views across the entire stack.

Splunk is a powerful data platform that collects, indexes, and analyzes machine-generated data from cloud infrastructures, providing deep visibility into logs, metrics, and traces across AWS, Azure, GCP, and hybrid environments. It excels in real-time monitoring, alerting, and root cause analysis for infrastructure performance, security, and operations. Through Splunk Observability Cloud, it offers unified dashboards, AI-driven insights, and scalable observability for complex distributed systems.

LogicMonitor is a SaaS-based unified observability platform designed for monitoring hybrid IT environments, including cloud infrastructure from AWS, Azure, and Google Cloud, as well as on-premises systems. It offers automated discovery, full-stack visibility, and AI-driven insights to detect anomalies, predict issues, and enable root cause analysis. The platform supports customizable dashboards, alerting, and integrations for comprehensive infrastructure performance management.

AppDynamics, now part of Cisco, is an enterprise-grade observability platform specializing in application performance monitoring (APM) with robust cloud infrastructure capabilities. It provides full-stack visibility into servers, containers, Kubernetes clusters, networks, and cloud services across AWS, Azure, Google Cloud, and hybrid environments. AI-driven analytics like Cognito detect anomalies, trace issues, and correlate business impacts in real-time.

Sumo Logic is a cloud-native SaaS platform specializing in log management, metrics monitoring, and full-stack observability for cloud infrastructure and applications. It collects and analyzes machine data from sources like AWS, Azure, Kubernetes, and on-premises systems, providing real-time insights, alerting, and security analytics powered by machine learning. The platform enables teams to detect anomalies, troubleshoot issues, and ensure compliance across hybrid environments.

SolarWinds Observability is a unified full-stack observability platform designed for monitoring cloud, hybrid, and on-premises infrastructure, applications, and user experiences. It aggregates metrics, traces, logs, and events into an entity-based model for correlated insights and root cause analysis. With strong AIOps capabilities, it helps IT teams detect anomalies, predict issues, and optimize performance across multi-cloud environments like AWS, Azure, and Kubernetes.

Elastic Observability, built on the Elastic Stack, provides a unified platform for collecting, analyzing, and visualizing logs, metrics, traces, and application performance data from cloud infrastructure and services. It excels in correlating data across hybrid and multi-cloud environments like AWS, Azure, GCP, and Kubernetes for root cause analysis and alerting. With powerful search capabilities via Elasticsearch and Kibana dashboards, it enables deep observability insights at scale.

Grafana Cloud is a fully managed observability platform designed for monitoring cloud infrastructure through metrics, logs, traces, and synthetic monitoring. It excels in creating highly customizable dashboards and visualizations using open standards like Prometheus for metrics, Loki for logs, and Tempo for traces. The service integrates seamlessly with major cloud providers such as AWS, Azure, GCP, and Kubernetes environments, enabling comprehensive infrastructure observability and alerting.