I attended the inaugural AIOps Exchange event last week in San Francisco. It was a great start for an organization dedicated to shaping the future of the use of artificial intelligence in IT operations. Here is how they describe themselves in an excerpt from the AIOps Exchange website...

In a previous blog post, we discussed the need for robust monitoring tools to measure digital customer experience (CX) and the challenges in tracking every user interaction in order to deliver better business outcomes. One of the key pillars in IT Ops that provides great digital CX is the ability to deploy applications quickly to provide immediate value.

Last week, a team of us had the pleasure of representing Zenoss at the Nutanix .NEXT Conference for IT operations professionals, held in beautiful Anaheim, California, this year.

Last week, we announced new AIOps capabilities we’ve added to our intelligent application and service monitoring platform. In this blog, I’m discussing the rationale and providing some deeper context on the tangible benefits organizations can realize from this.

In our previous blog post, we discussed how intelligent root-cause analysis and remediation capabilities provide faster mean time to resolution using readily accessible contextual data collected from different sources. This was reinforced by The Forrester Wave™: Intelligent Application and Service Monitoring, Q2 2019, as they acknowledged the importance of having robust tools for measuring digital customer experience (CX).

Recently, we discussed key predictions and observations on how infrastructure and service monitoring solutions will evolve, adding strong AI/ML capabilities to collect and manage multiple data sources from across a hybrid IT environment.

In our previous post about containers and microservices, we covered the challenges of monitoring these new technologies as well as how you can use software-defined IT operations tools to overcome them. The recently released Forrester Research report, Monitoring Containerized Microservices?

Several months ago, the team here at Zenoss made some key predictions about infrastructure and service monitoring for 2019. Among them was this observation: A strategy relying on multiple disparate solutions to track the performance of the various aspects of an application’s performance no longer has legs, much as groups of infrastructure point tools are not effective at providing complete visibility across data center infrastructure.

We are excited to be recognized as a Leader in The Forrester Wave™: Intelligent Application and Service Monitoring, Q2 2019. It covers vendors from infrastructure and cloud monitoring, application performance monitoring (APM) and AIOps. Rather than publishing a separate Wave for each of these vendor categories, we believe that this report creates a combined market category based on how solutions solve customer problems rather than on how technology vendors create market spaces.

Does it seem like every day we’re doing the same quick fixes? Deleting temporary files to free up space in a file system, bouncing a server, restarting a queue. Over and over. Whether automating these simple tasks or not, you’re responding to incidents that have already affected someone instead of making changes to prevent them from ever happening again.