Nagios: The alternative to a flood of alerts
How to structure your monitoring for better incident management
1. Understand the importance of having a modern monitoring strategy.
In this age of cloud, Big Data, and the Internet of Things, where infrastructure is more complex and apps are more and more critical each day, leading companies know that a workable monitoring strategy is a critical factor that impacts profitability, customer loyalty, and business service health.
Action item: Educate yourself on best-of-breed, cutting-edge IT monitoring solutions, so your IT team can keep up with your expanding IT ecosystem.
2. Turn service assurance into a competitive advantage.
Yes, every company under the sun claims that it can assure uptime, security, and availability, but can they deliver when it counts? Many cannot.
Action item: Use machine learning, so you can move away from manual processes that hold your organization back.
The easiest way to transform empty service assurance claims about reliability, availability, and security into a competitive advantage is by automatically turning machine data into actionable insights. As services shift to the cloud, IT leaders are evolving their incident management processes to combine what people do best – manual troubleshooting – with what machines do best – big data processing and analytics.
3. Understand that we are already deep into an age of machine learning.
Many pundits try to downplay the benefits of machine learning, but industry leaders are jumping on this trend quickly.
Processes that worked in the past – generating incidents from every alert and manually triaging each one – are now fundamentally broken. There are simply too many moving parts in today’s complex IT environments to handle incidents manually. What’s required to deliver modern services is a new way of approaching incident and problem management based on data science.
Action item: Use data science concepts to deliver on your service-assurance promises.
Only BigPanda helps IT organizations diagnose root causes, rapidly restore services, and prevent issues from recurring using clustering algorithms to process alerts at web scale and suppress noise. The result: you get alerted only to what matters.
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