Best Cloud Monitoring Software for Azure Virtual Machines

Find and compare the best Cloud Monitoring software for Azure Virtual Machines in 2024

Use the comparison tool below to compare the top Cloud Monitoring software for Azure Virtual Machines on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    New Relic Reviews
    Top Pick
    See Software
    Learn More
    Transform your Cloud Monitoring with New Relic. Achieve strategic insights and maintain seamless operations with New Relic’s comprehensive observability platform, tailored for software engineering teams. Our solution offers complete visibility into your cloud infrastructure, applications, and services, empowering proactive performance management and risk mitigation. Make data-driven decisions with actionable insights that enhance efficiency, minimize downtime, and optimize costs. Integrate seamlessly with existing cloud environments for real-time monitoring, compliance assurance, and greater operational agility. Equip your organization with the tools to swiftly resolve issues and strategically align cloud operations with broader business objectives, driving continuous growth and innovation.
  • 2
    Netdata Reviews
    Top Pick
    Monitor your servers, containers, and applications, in high-resolution and in real-time. Netdata collects metrics per second and presents them in beautiful low-latency dashboards. It is designed to run on all of your physical and virtual servers, cloud deployments, Kubernetes clusters, and edge/IoT devices, to monitor your systems, containers, and applications. It scales nicely from just a single server to thousands of servers, even in complex multi/mixed/hybrid cloud environments, and given enough disk space it can keep your metrics for years. KEY FEATURES: Collects metrics from 800+ integrations Real-Time, Low-Latency, High-Resolution Unsupervised Anomaly Detection Powerful Visualization Out of box Alerts systemd Journal Logs Explorer Low Maintenance Open and Extensible Troubleshoot slowdowns and anomalies in your infrastructure with thousands of per-second metrics, meaningful visualisations, and insightful health alarms with zero configuration. Netdata is different. Real-Time data collection and visualization. Infinite scalability baked into its design. Flexible and extremely modular. Immediately available for troubleshooting, requiring zero prior knowledge and preparation.
  • 3
    eG Enterprise Reviews

    eG Enterprise

    eG Innovations

    $1,000 per month
    3 Ratings
    IT performance monitoring does not just focus on monitoring CPU, memory, and network resources. eG Enterprise makes the user experience the center of your IT management and monitoring strategy. eG Enterprise allows you to measure the digital experience of your users and get deep visibility into the performance of the entire application delivery chain -- from code to user experiences to data center to cloud -- all from a single pane. You can also correlate performance across domains to pinpoint the root cause of problems proactively. eG Enterprise's machine learning and analytics capabilities enable IT teams to make smart decisions about right-sizing and optimizing for future growth. The result is happier users, increased productivity, improved IT efficiency, and tangible business ROI. eG Enterprise can be installed on-premise or as a SaaS service. Get a free trial of eG Enterprise today.
  • 4
    Edge Delta Reviews

    Edge Delta

    Edge Delta

    $0.20 per GB
    Edge Delta is a new way to do observability. We are the only provider that processes your data as it's created and gives DevOps, platform engineers and SRE teams the freedom to route it anywhere. As a result, customers can make observability costs predictable, surface the most useful insights, and shape your data however they need. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. Data processing includes: * Shaping, enriching, and filtering data * Creating log analytics * Distilling metrics libraries into the most useful data * Detecting anomalies and triggering alerts We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.
  • Previous
  • You're on page 1
  • Next