![]() ![]() Your data stays at your infrastructure – we don’t get it or store it, and can’t share it or sell it. Custom dashboards are supported but not required. The IKEA effect! If you spend time building something, you are going to love it.Įvery single metric is visualized in meaningful, fully automated dashboards. ![]() Speculate what the problem might be, validate these assumptions, usually requiring help from a monitoring expert or data scientist, and hope you are right.Īsk the software to find the needle in the haystack, by correlating metrics and machine learning anomaly rates, to provide an ordered list of metrics related to any spike or dive. You have to learn each and every metric, new query languages, know Data Science basics, and be an expert in all matters.ĭesigned for engineers, to be used immediately after installation. It can send you alerts via phone calls, emails, webhooks, Twitter, or SMS when your site goes offline. checks the availability of your website every minute from 30 locations across the globe. With enterprise-grade website monitoring and performance testing capabilities, Dotcom-Monitor provides all the features your your. It delivers enterprise-grade capabilities at reasonable pricing. Steep, challenging and sometimes a torture. Dotcom-Monitor provides performance monitoring and load/stress testing solutions to help ensure availability, functionality, uptime, and scalability of your websites, web applications, APIs, and IT infrastructure. ![]() Just install Netdata and start using it - it also auto-updates, so you can forget about it. Usually a lot of moving parts and painfully long preparation process to get everything right, requiring both skills and time. The Netdata Agent needs <2% of the CPU resources on modern hardware and about 150MB of RAM. Usually agents are slow and sluggish, centralization points do not scale well requiring huge resources. Up to 15 minutes of data collection to visualization latency, 10, 15 or even 60 seconds metrics granularity.ġ-second latency, 1-second granularity, for all metrics, designed for troubleshooting emerging issues in real-time with high-fidelity data. ![]()
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