When your event data isn’t collected and analyzed properly, incident workflow suffers. Connecting configuration changes with event data becomes impossible. Opportunities to improve availability and support operations are missed. The ultimate cost is high, both in expense and customer reputation.
By applying AIOps to the NOC operations environment, we’re taking steps to remove the filters required to make analysis manageable for human engineers. With vastly superior data processing and machine learning power, we’re working to make the NOC capable of identifying the subtle indicators of approaching issues within a torrent of noisy data.
For the first time, we’re able to start listening to what all of your data has to say about your environment and use those insights to deliver genuinely proactive NOC support.