Moogsoft announced its new cloud AIOps architecture and product vision, focused on delivering agile and scalable AIOps to companies of all sizes.
As part of this vision, the company is unveiling the results of its investment in a rapid-deployment and self-service model for delivering advanced AI and ML at scale to existing and new customers. This includes the creation of an entirely new architecture based around the latest developments in modern microservices and cloud-based technologies.
As every business embraces a fully digital future, organizations of all sizes increasingly rely on digital infrastructure, and in turn, on DevOps and SRE teams to operate business-critical digital services. To best serve this accelerated evolution towards a digital economy, Moogsoft will increase its focus towards a scalable, self-service architecture and model that allows both new and existing customers to quickly deploy and see value from observability using AIOps.
“Moogsoft recently introduced the first dedicated DevOps solution in the AIOps market,” said Dennis Drogseth, VP, Enterprise Management Associates. “This innovation helps enable DevOps and SRE teams across organizations of any size to gain greater visibility and control over service assurance, and ultimately to spend more time developing innovative services.”
Moogsoft is empowering customers to accelerate the adoption of AIOps by allowing them to self-provision and self-service, including the ability to build their own integrations to anything, anywhere. This is required for any self-servicing AIOps platform to realize rapid value in minutes and hours, rather than months and years.
“Every business is currently accelerating its digital transformation, and seeking solutions like AIOps to help tackle the complexity and scale of operating digital services, while continuing to innovate,” said Moogsoft Founder and CEO Phil Tee. “It’s clear from this shift that the market needs a highly-scalable and agile observability and AIOps platform. We have addressed this need by accelerating our roadmap to deliver DevOps and SRE teams a self-service solution from which to rapidly deploy and automate observability across all their services.”
Tee concluded, “I am excited to see the realization of a project two years in the making to re-platform our 50 patents and leading edge technology for the new age. This move will send shockwaves through the AIOps community.”
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