List of the Top 3 Server Monitoring Software for Akamai in 2025
Reviews and comparisons of the top Server Monitoring software with an Akamai integration
Below is a list of Server Monitoring software that integrates with Akamai. Use the filters above to refine your search for Server Monitoring software that is compatible with Akamai. The list below displays Server Monitoring software products that have a native integration with Akamai.
New Relic provides robust Server Monitoring solutions tailored for enterprises, delivering an extensive platform to oversee and enhance server infrastructure. Aimed at large-scale operations, our integrated data platform consolidates telemetry from servers, offering sophisticated full-stack analysis tools that yield in-depth insights into performance, health, and resource usage. With features like real-time monitoring, automated notifications, and customizable dashboards, New Relic empowers you to take a proactive approach in managing your servers, optimizing resource distribution, and guaranteeing optimal performance and reliability. Streamline your server oversight, boost operational efficiency, and acquire valuable insights with New Relic's cutting-edge Server Monitoring offerings.
Keep a close eye on your servers, containers, and applications with high-resolution, real-time monitoring.
Netdata gathers metrics every second and showcases them through stunning low-latency dashboards. It is built to operate across all your physical and virtual servers, cloud environments, Kubernetes clusters, and edge/IoT devices, providing comprehensive insights into your systems, containers, and applications.
The platform is capable of scaling effortlessly from just one server to thousands, even in intricate multi/mixed/hybrid cloud setups, and can retain metrics for years if sufficient disk space is available.
KEY FEATURES:
- Gathers metrics from over 800 integrations
- Real-Time, Low-Latency, High-Resolution
- Unsupervised Anomaly Detection
- Robust Visualization
- Built-In Alerts
- systemd Journal Logs Explorer
- Minimal Maintenance Required
- Open and Extensible Framework
Identify slowdowns and anomalies in your infrastructure using thousands of metrics collected per second, paired with meaningful visualizations and insightful health alerts, all without needing any configuration.
Netdata stands out by offering real-time data collection and visualization along with infinite scalability integrated into its architecture. Its design is both flexible and highly modular, ready for immediate troubleshooting with no prior knowledge or setup needed. This unique approach makes it an invaluable tool for maintaining optimal performance across diverse environments.
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.
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