Operations | Monitoring | ITSM | DevOps | Cloud

CloudFabrix is enhancing its AIOps platform with native Observability and AI at the edge capabilities to bridge the gap between Observability and AIOps solutions. Enterprises are struggling with unifying multitude of expensive monitoring deployments as well as gaps in observability, specifically for modern application architectures that include usage of microservices, containers and Kubernetes.

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week we explore how the pandemic and the rise of the remote work culture have enabled digital transformation.

As our CEO Kevin McGibben stated during LogicMonitor’s Level Up virtual customer conference last month, “LogicMonitor is well on its way to becoming a unified IT observability platform.” As of this morning, we are one step closer to fulfilling our product vision of becoming the most comprehensive, extensible, and intelligent monitoring platform in the world.

Under the hood, Moogsoft Observability Cloud extends AI-based intelligence so that it starts with raw observability data analysis. It discovers your infrastructure services to collect and analyze the time-series metrics locally, along with turning time-series metrics and event data from your existing tools into actionable insights.

Leading analysts continue to acknowledge BigPanda’s leading role in the AIOps ecosystem. Earlier this year the GigaOm AIOps Radar report placed BigPanda in the leader section for the company’s strong market impact as a platform that delivers event correlation at scale.

Technology trends transform human behavior permanently. In the past decade, we have improved as a society by embracing digital lives that drive faster collaboration and automation and save us a significant amount of time. The IT Operations landscape is not any different, and artificial intelligence (AI) is at the forefront of that.

AIOps is one of the fastest-growing categories in the IT operations management (ITOM) software space. With increasing demands on IT, the ability to leverage AI is critical to successful operations. The adoption statistics are quite staggering. Gartner reports that by 2022, 40% of large enterprises will use AIOps tools to support or replace monitoring and service desk tasks.

Artificial intelligence for IT Operations (AIOps) still sounds like something from the future to a lot of IT professionals. Maybe you’ve heard about the benefits but don’t think your organization is ready. In these three short, informative videos, Kia Behnia, Vice President of IT Operations, addresses three key questions IT pros still have when it comes to AIOps.