Netdata
Stuart McMurran is a seasoned sales professional currently serving as Manager of Enterprise Sales at Netdata since March 2024, where the focus is on comprehensive monitoring solutions for various infrastructures. Concurrently, Stuart provides advisory support in sales at Bimotal, driving revenue through strategic partnerships in the wheelchair manufacturing sector. Previous experience includes roles as Senior Enterprise Account Executive at Truv, specializing in consumer financial data access, and as Enterprise Account Executive at Feedzai, achieving significant pipeline generation and account penetration. Stuart's tenure also includes positions at Dell EMC, DataFrameworks, Scality, Aerohive Networks, Northwestern Mutual, and Nicira, contributing to expertise in enterprise sales and account management across diverse technology sectors. Academic credentials include a Bachelor's Degree in Business Administration with double majors in Finance and Marketing from Seattle University.
This person is not in any teams
Netdata
4 followers
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: π₯ Collects metrics from 800+ integrations Operating system metrics, container metrics, virtual machines, hardware sensors, applications metrics, OpenMetrics exporters, StatsD, and logs. πͺ Real-Time, Low-Latency, High-Resolution All metrics are collected per second and are on the dashboard immediately after data collection. Netdata is designed to be fast. πΆβπ«οΈ Unsupervised Anomaly Detection Trains multiple Machine-Learning (ML) models for each metric collected and detects anomalies based on the past behavior of each metric individually. π₯ Powerful Visualization Clear and precise visualization that allows you to quickly understand any dataset, but also to filter, slice and dice the data directly on the dashboard, without the need to learn any query language. π Out of box Alerts Comes with hundreds of alerts out of the box to detect common issues and pitfalls, revealing issues that can easily go unnoticed. It supports several notification methods to let you know when your attention is needed. π systemd Journal Logs Explorer (beta, in the nightly release channel) Provides a systemd journal logs explorer, to view, filter and analyze system and applications logs by directly accessing systemd journal files on individual hosts and infrastructure-wide logs centralization servers. π Low Maintenance Fully automated in every aspect: automated dashboards, out-of-the-box alerts, auto-detection and auto-discovery of metrics, zero-touch machine-learning, easy scalability and high availability, and CI/CD friendly. β Open and Extensible Netdata is a modular platform that can be extended in all possible ways and it also integrates nicely with other monitoring solutions.