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Always a pleasure to spend time with our friends a Zenoss! Gartner Digital Workplace Summit #GartnerDW
We're on a mission to provide organizations throughout the GalaxZ with Software-Defined IT Operations™ and are hiring the best of the best to join in that effort. Zenoss works with the world's largest organizations to ensure their IT services and applications are always on. As the leader in Software-Defined IT Operations™, Zenoss develops software that builds comprehensive real-time models of hybrid IT environments, providing unparalleled holistic health and performance insights. This uniquely enables Zenoss customers to predict and eliminate outages, dramatically reducing downtime and IT spend. Maybe that is why Forbes listed Zenoss as one of the best cloud company's to work in 2015 AND 2016! Our growth is impressive and we’re so excited to bring additional talent to the team to grow our efforts. Our hoverboard riding, fanatical ping-pong, serious pool playing, food-truck loving, queso-consuming crowd includes some of the brightest minds in the technology industry. Besides having the opportunity to work for an award-winning company, offering an award-winning product, you'll have a chance to work with some of the brightest minds in the technology industry. View the open positions here and join the revolution today! https://www.zenoss.com/careers
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Zenoss Cloud is the first SaaS-based intelligent IT operations management platform that streams and normalizes all machine data, uniquely enabling the emergence of context for preventing service disruptions in complex, modern IT environments.
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Zenoss reposted this
Always a pleasure to spend time with our friends a Zenoss! Gartner Digital Workplace Summit #GartnerDW
We had so many great meetings at #DTX Manchester! Great to see so many customers and partners.
Heading to the #DTX Manchester today. Is anyone there already? DM me for a meet up 😃 #technology #ai #cloud
The absence of comprehensive monitoring tools in today’s complex IT environments introduces significant challenges and risks. Without the ability to oversee the entire stack, organizations may run into an undetected performance issue, leading to potential downtime. According to numerous studies, that can cost between $5,600 and $9,000 per minute. Fortunately, full-stack monitoring emerges as a worthy solution. Check out our latest blog post to learn how to master full-stack monitoring in your IT operations.
The Bag-of-Words technique is a fundamental method used in natural language processing for representing text data in a numerical format that machine learning algorithms can understand. It is a simple yet powerful approach that converts text documents into vectors based on the frequency of words appearing in the documents, disregarding the order in which they appear. Check out our latest blog post to find out more.
In the ever-expanding landscape of machine learning, #FeatureExtraction stands out as a crucial technique for enhancing the performance of models and uncovering valuable insights from complex datasets. This process, rooted in the principles of data preprocessing and feature engineering, plays a pivotal role in transforming raw data into meaningful representations that facilitate accurate predictions and decision-making. Check out our latest blog post to find out more.
Effective capacity planning and management are fundamental to maintaining a robust IT infrastructure, helping teams optimize available resources to meet performance needs. In this guide, we’ll walk you through everything you need to know about these invaluable processes to ensure your organization’s IT infrastructure is prepared for current and future demands.
#Observability and #monitoring are two methods IT Ops and DevOps teams use to quickly find and resolve the underlying root cause of problems such as outages and unplanned downtime. While the terms are often used in tandem or even interchangeably, there are important distinctions between the two. To help you understand the difference between observability vs. monitoring, check out our latest blog post to take closer look at what these concepts mean, how they work, and how you can use both effectively across your IT infrastructure.
#MachineLearning is a powerful tool that enables computers to learn from data and make predictions or decisions without being explicitly programmed. Two fundamental approaches to machine learning are supervised and unsupervised learning. Check out our blog post to explore the key differences between these two approaches, along with examples of their applications.
Revolutionize how you address IT application and system health. Join Zenoss and Forrester Wednesday, March 27, 11 a.m. CDT, for a webinar on #monitoring, #observability and #AIOps. Register now: https://lnkd.in/g_AVzD65
A key element in the distinction between vectors and embeddings is continuous space. So, what is a continuous space in this context? In the context of vector embeddings, a continuous space refers to a space where the arrangement of vectors corresponds to a continuous and smooth representation of the relationships between entities. This is in contrast to a discrete space, where the arrangement might be more rigid and lack the nuanced gradations found in a continuous space. Check out our latest blog post to dive into the key characteristics of a #ContinuousSpace in the context of vector embeddings.