Operations | Monitoring | ITSM | DevOps | Cloud

What you absolutely must know when responding to an incident is what kind of impact it has on customers and how negatively it can affect your team. This is typically addressed by following some kind of incident classification, usually “incident severity levels”, to indicate the importance of every incident - that is, to understand how seriously various stakeholders are affected and to route the incident differently if necessary.

In the past, many organizations grew and managed their own data centers. Some still do. And many are still developing their own automated incident management (aka Autonomous Operations) tools. But as IT grows and becomes evermore complex and fast-moving, the reality of what it means to do so kicks in, and organizations are re-evaluating their strategies.

As a customer of StatusHub, you are aware that you can quickly and easily communicate with your customers when an incident occurs. With our partnership with Zendesk, you can display a number of events from your StatusHub directly inside the main ZenDesk Support interface.

It shouldn’t take you more time than a few seconds to understand your on-call schedule and rotations and how you could make changes to it. It is important for on-call scheduling and alerting tools to make this as simple as possible. If you’re spending more than a few seconds to understand what your on-call rotations are going to be like for the next day or week or month, then you need to start looking for a better on-call management tool.

Exceptional customer service is key in the world of IT, where something could go wrong at any given moment. This level of support equates to business retention, client satisfaction and high success rates and profits. In this post, I’ll introduce a hypothetical scenario, where “MSP Team A” provides 24×7 after-hours support to a valuable client.

451 Research Senior Analyst Nancy Gohring and Moogsoft EMEA CTO Will Cappelli outlined market opportunities and challenges during their instructive webinar “AIOps Predictions 2020.”