Zenoss Launches Advanced Anomaly Detection
February 16, 2022
Share this

Zenoss announced a major update to existing anomaly detection capabilities for preventing outages in modern IT environments.

The enhancements have enabled Zenoss Cloud to yield an 18% improvement in precision making predictions about anomalous events that are precursors to IT service disruptions.

The anomaly detection enhancements have adapted a modern neural network algorithm from Google Cloud and operationalized it for IT environments. The platform also leverages Vertex AI, a managed machine learning (ML) platform from Google Cloud that accelerates the deployment and maintenance of AI models. Vertex AI requires nearly 80% fewer lines of code to train a model versus competitive platforms, enabling data scientists and ML engineers to efficiently build and manage ML projects throughout the entire development life cycle.

The Zenoss Cloud AIOps platform helps to eliminate the need for customer organizations to employ teams of data scientists, who currently grapple with the challenge of manually piecing together homegrown ML point solutions — creating a lag time in model development and experimentation, resulting in very few models making it into production.

The advanced anomaly detection capabilities deliver:

- Predictive precision improvement of 18%

- An actions framework that notifies downstream systems of anomalous events

- Intelligent, real-time dashboard views that surface top entities exhibiting anomalous behavior based on related metrics that are monitored by machine learning algorithms

- Out-of-box and configurable policies

- At-a-glance view of anomalous entities, root-cause analysis and dependencies

“This is another big step in achieving the goal of a lights-out data center, where the infrastructure is self-healing and doesn’t require humans to manage it,” said Ani Gujrathi, CTO at Zenoss. “This launch continues to advance our AI/ML capabilities and leadership in AIOps with leading-edge technologies to reduce the risks involved with organizations modernizing their environments and moving at the speed of business.”

Zenoss Cloud is an AI-driven full-stack monitoring platform that collects all machine data, uniquely enabling the emergence of context for preventing service disruptions in complex, modern IT environments. Zenoss Cloud leverages some of the most powerful machine learning capabilities and real-time analytics of streaming data to deliver AIOps, giving companies the ability to scale and adapt to the changing needs of their businesses.

Share this

The Latest

November 28, 2022

Many have assumed that the mainframe is a dying entity, but instead, a mainframe renaissance is underway. Despite this notion, we are ushering in a future of more strategic investments, increased capacity, and leading innovations ...

November 22, 2022

Most (85%) consumers shop online or via a mobile app, with 59% using these digital channels as their primary holiday shopping channel, according to the Black Friday Consumer Report from Perforce Software. As brands head into a highly profitable time of year, starting with Black Friday and Cyber Monday, it's imperative development teams prepare for peak traffic, optimal channel performance, and seamless user experiences to retain and attract shoppers ...

November 21, 2022

From staffing issues to ineffective cloud strategies, NetOps teams are looking at how to streamline processes, consolidate tools, and improve network monitoring. What are some best practices that can help achieve this? Let's dive into five ...

November 18, 2022

On November 1, Taylor Swift announced the Eras Tour ... the whole world is now standing in the same virtual queue, and even the most durable cloud architecture can't handle this level of deluge ...

November 17, 2022

OpenTelemetry, a collaborative open source observability project, has introduced a new network protocol that addresses the infrastructure management headache, coupled with collector configuration options to filter and reduce data volume ...

November 16, 2022

A unified view of digital infrastructure is essential for IT teams that must improve the digital user experience while boosting overall organizational productivity, according to a survey of IT managers in the United Arab Emirates (UAE), from Riverbed and market research firm IDC ...

November 15, 2022

Building the visibility infrastructure to make cloud networks observable is a complex technical challenge. But with careful planning and a few strategic decisions, it's possible to appropriately design, set up and manage visibility solutions for the cloud ...

November 14, 2022

According to a recent IT at Work: 2022 and Beyond study, there have been a few silver linings to the pandemic ... The study revealed some intriguing trends, which will be discussed in turn ...

November 09, 2022

The absence of topology can be a key inhibitor for AIOps tools, creating blind spots for AIOps as they only have access to event data. A topology, an IT service model, or a dependency map is a real-time picture of tools and services that are connected and dependent on each other to deliver an IT service ...

November 08, 2022

A modern data stack is a suite of technologies and apps built specifically to funnel data into an organization, transform it into actionable data, build a plan for acting on that data, and then implement that plan. The majority of modern data stacks are built on cloud-based services, composed of low- and no-code tools that enable a variety of groups within an organization to explore and use their data. Read on to learn how to optimize your data stack ...