Buziness Monitor is a flexible monitoring service that provides in-depth insights into your cloud deployments. Buziness Monitor provides advanced analytics on critical metrics such as CPU utilization, latency and also lets you customize metrics specific to business requirements
Buziness Monitor enables you to protect your deployments from security threats, network issues or system failure by sending alerts through a variety of channels including emails and SMSComing Soon...
See it. Analyze it. Inspect it. Solve it
See what matters with data and metrics from dozens of sources. One easy-to-use, cloud-based service for monitoring, log analysis, and collaborationComing Soon...
View detailed metrics for CPU utilization, data transfer, and disk usage activity from buziness Cloud instances with higher resolution. No additional software needs to be installed
Monitor metrics on purpose built instances and network resources easily
Submit Custom Metrics generated by your own applications via a simple API request and have them monitored by buziness Monitor
It’s better to detect an issue before it affects your business. With buziness Monitor, you can set up alerts and respond proactively to events by setting up automated actions
Buziness Monitor gives you the basic tools you need to analyze and diagnose any operational issue, so you can resolve it efficiently
View app performance, system behavior, and unusual activity across the instances. Monitor key resources and metrics and eliminate issues before they affect users
Trace issues down to their root cause. See how your components interact, identify correlations, and share findings with your team
Work better as a team using data and analysis within DevOps tools. Loggly integrates with majority of DevOps tools
Analyze and visualize your data to answer key questions, track SLA compliance, and spot trends. Loggly simplifies investigation and KPI reporting
Use different chart types to visualize complex time-series data. Easily compare a dataset against itself from a day or week before using timeshift
Create alerts based on search patterns, thresholds for specific log metrics, or other conditions