Observability and automation are big topics for any service or app provider. To be able to deliver quality service, avoid disruption or even downtimes everyone is looking at mechanisms on how to proactively solve potential problems. Pro-active recommendations have become a popular tool to increase customer satisfaction, deflect some work from ever-busy support and SRE teams or perhaps make a sales pitch at the right time.
Not all products are born equal in their ability to make proactive recommendations. A public cloud provider’s job is in many respects easier than doing the same for, say, Red Hat OpenShift with its many deployment options, including many on-prem ones. In this session, we will peek under the hood of Red Hat Insights for OpenShift and discuss some of the technical challenges that we are facing when building a knowledge base of proactive recommendations.
Create a custom schedule.
Take it with you on mobile.
Get listed in the directory.
