Devo Single-metric Time Series Anomaly Detection
Devo's Machine Learning capabilities can be used to monitor and model time series metrics to accurately identify, score, and alert on anomalies. Learn more at http://www.devo.com
Security | Threat Detection | Cyberattacks | DevSecOps | Compliance
The Latest Cybersecurity News & Insights From Around The World
Analytics
Devo Machine Learning - Quick Modeler K-Means Clustering Example
The Quick Modeler just one component of the ML Workbench, a suite of tools designed to bring Machine Learning and Data Science Solutions to Life on the Devo Platform. Learn more at http://www.devo.com
Devo Multi-metric Time Series Anomaly Detection
Multi-metric Time Series Anomaly Detection is a powerful Devo capability that enables IT operators to understand and gain a broad view of their ecosystem at a glance by leveraging ML. Learn more at http://www.devo.com
Data-first Culture + Employees = Better CX
There’s a lot of talk about the ability of AI and machine learning to augment digital transformation journeys by creating better customer experiences and empowering employees to make decisions using data. However, IT and business leaders can sometimes face analysis paralysis when confronted with this topic because it means something different for every business – and it means shifting an entire company culture towards a new way of working. One key shift is making use of machine data.
Athleticism and AIOps: What's your checklist?
Here at Devo’s Cambridge, MA office, we’ve been steeped in news of national sports league playoffs for several weeks. The games are great, even with the stress and uncertainty of overtime, but it’s gotten me thinking about the professional hockey and basketball players, and how they’ve become as successful as they are.
Enterprise log management is here to stay: Part 1
Logs began with UNIX in the 1960s, partly to preserve the culture of close communication in programming. Luckily, that culture has held fast as programming and technology have taken many different shapes and evolutions over the years, and today, the idea behind logs is still to maintain data for correlation and analysis to meet enterprise security and compliance needs.
Devo recognized in new Intelligent Application & Service Monitoring report
Forrester Research has released The Forrester Wave™: Intelligent Application & Service Monitoring, Q2 2019 report and I am excited to share that Devo has been identified as a Strong Performer. Devo’s recognition as a Strong Performer is, in our opinion, a great validation of our data-first approach.
How to escape the data management TCO trap
It’s a trap! If you’re going to learn how to escape the data management TCO trap, the first place to start is understanding what the cost factors are and how they are interrelated. Then, understand what the traps are and how you can avoid them. Follow along to learn more.
Banking on Big Data: Insights to make ATM operations lean & customers keen
Banks that own the transaction layer have an awesome analytics advantage. Capturing a broad spectrum of consumer activity means you can answer key business questions.
Logging in a DevOps environment: what you should know
DevOps is the new normal, and cloud here is to stay – sound familiar? When you combine the two and distill the technology at the core, what you end up with is the realization of the importance of logs and log management. This is because logs at multiple levels help DevOps teams understand their application and even allow them to detect and address application issues before being promoted into production.