Operations | Monitoring | ITSM | DevOps | Cloud

One Ruby feature that embodies the principle of “optimizing for programmer happiness” is how the language uses garbage collection (GC) to automatically manage application memory. But as Ruby apps grow, GC itself can become a big consumer of system resources, and this can lead to high CPU usage and performance issues such as increased latency or reduced throughput.

As your organization scales its applications across many different cloud and SaaS providers, it becomes more challenging to understand your costs. You likely receive your bill at the end of the month, meaning you don’t have real-time visibility into who’s spending what and which services or applications your teams are spending the most on. Changing service costs also makes it difficult to break down your costs and identify what is driving spend, leaving you unable to take action.

SNMP monitoring is ideal when a particular network is fully operational, and there is no problem with network instability. With it, the people who are overseeing networks are able to track various aspects of a network and access points, such as routers, switches, alerting systems, and servers, seamlessly. By passing SNMP-based management information among such devices, devices can track how things are going and resolve any problems.

Have you ever faced a situation where a sudden network outage or slowdown impacted your workday, leaving you wondering what could have been done to prevent it? Along with the many frustrations and risks that come with network downtime, this common scenario illustrates the importance of staying one step ahead in managing your network health. But what is network monitoring, and how can it help you address issues before they escalate into major disruptions?