The need for Autonomous Monitoring. Why now?

The IT infrastructure landscape has undergone rapid change in the past 10 years.

From siloed & monolithic on-premise architectures, companies are now turning to cloud-based distributed environments at an unprecedented pace. The
existing monitoring tools were not designed to manage such complexity – both in terms of the ability to monitor
distributed architectures and handling enormous amounts of data.
In addition, while using traditional threshold-based monitoring tools, engineers receive multiple (too many) alerts and have to manually analyze huge chunks of data. Resolving incidents remains reactive and can be painfully long. 

This has a direct impact on the quality of service (QoS) – businesses can suffer heavy losses and customers face the
consequences of degraded service levels. According to a NewVoiceMedia study, American companies alone lose $ 75
billion a year due to bad user experiences.

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