In a world where the future’s uncertain and businesses are compelled to embrace digital solutions, an unreliable IT infrastructure is out of the question. After all, you cannot afford application outages, security breaches, or system downtimes as they can harm business continuity. According to Gartner, the average cost of IT downtime is $5,600 per minute, which varies across industries. However, the right monitoring tools provide a real-time view of performance, availability, and the activities going on across your IT infrastructure. They significantly bring down maintenance costs by mitigating the risks associated with outages or security breaches.
With mounting pressure on system administrators to deliver more reliability with fewer resources, automating infrastructure monitoring can significantly bring down costs. Let’s look at two such robust monitoring solutions built on the Rust programming language.
Knoldus builds Real-time Monitoring solutions with Rust Programming Language

Prolance: Explore how Knoldus built a protocol surveillance tool that improves network visibility, prevents malicious threats over the network, and reduces Mean time to detect & resolve issues. Learn More



Procespy: Explore how Knoldus aced memory management with a system monitoring tool. It gives deeper visibility into running processes and monitors KPIs like memory usage. Learn More
Looking for system monitoring solutions? Knoldus can help!
Whether your business is in the startup stage or at an enterprise level, monitoring is essential for systems & networks to deliver high performance. If you’re feeling stuck with stalled projects or unreliable networks, our experts will help you out with fast, efficient, and tailor-made solutions keeping cost-effectiveness in mind.
We are also helping our customers in these tough times with Pre-assessments of their current IT infrastructure to determine gaps and automate their operations.
Get in touch with us to schedule a no-obligation call with our experts or drop us a line at hello@knoldus.com