ScienceLogic Showcases Innovation at Cisco Live 2022 Hi everyone! This is Taylor Johnson, product manager at ScienceLogic, and I’m here at Cisco Live 2022 in Las Vegas. Me and my fellow science logicians are here showcasing innovations in hybrid cloud monitoring, as well as our AI and ML innovations and automation for your network stack.… Continue reading 3 Key Takeaways from Cisco Live 2022
Resource Type: Blog
3 Key Takeaways from Cisco Live 2022
Organizations are looking to AIOps, or artificial intelligence for IT operations, as a solution to address these issues. But what does AIOps actually mean? With so many definitions circulating around the IT universe, one of the challenges that organizations have is they don’t know what AIOps is, and they don’t know how to justify the… Continue reading How to Build Your AIOps Business Case
How to Build Your AIOps Business Case
When you live in the world of AIOps, it’s easy to focus on technology. Whiz-bang stuff like artificial intelligence and advanced analytics driven by machine learning algorithms is impressive, but whether it’s a rock strapped to a stick or a sophisticated software platform that lives in the cloud, technology is a tool. And tools are… Continue reading Event Management 101: Everything You Need to Know
Event Management 101: Everything You Need to Know
There were over 700 million attempted ransomware attacks in 2021 alone. Unfortunately, a new preferred target has be identified: managed service providers. Criminal hacker groups were spending more time focusing efforts on a strategy known as a “digital supply chain” attack to compromise both software and service providers and move up their supply chains through… Continue reading Four Best Practices to Ensure MSPs Meet Compliance Requirements
Four Best Practices to Ensure MSPs Meet Compliance Requirements
IT workflow automations – to augment, accelerate and automate processes associated with incident response within ITOps or across ITOps, ITSM, DevOps, SecOps, and other systems – help eliminate manual, repetitive IT operations tasks and help free-up time to work on more strategic projects. When an IT workflow fails to function as intended, it creates, at… Continue reading The Case for Monitoring Your Automated Workflows
The Case for Monitoring Your Automated Workflows
At Zebrium, we have a saying: “Structure First”. We talk a lot about structuring because it allows us to do amazing things with log data. But most people don’t know what we mean when we say the “structure”, or why it is a necessity for accurate log anomaly detection. Our Vision of Log Anomaly Detection… Continue reading Log Anomaly Detection Using Machine Learning
Log Anomaly Detection Using Machine Learning
Why is application dependency mapping so important? And how do you maximize its value to in your organization? We’re here to provide you the answers.
What is Application Discovery and Dependency Mapping?
Speaking of creating projects that scale, it’s time to read up on the latest about AIOps, ITOps, and IT infrastructure monitoring. 1.) The push is on to build an autonomous enterprise. This article by Business Telegraph analyzes how organizations are moving towards an autonomous enterprise. Enterprises are in the early phases of a revolution whose… Continue reading News Roundup, June 17: What’s Happening in AIOps, ITOps, and IT Monitoring
News Roundup, June 17: What’s Happening in AIOps, ITOps, and IT Monitoring
The agent vs. agentless monitoring debate in ITSM has evolved. Now, you need both methods to collect data in all its forms and a plan for what to do with it.
Agent vs. Agentless Monitoring
Datadog is one of the most popular observability platforms today and offers a rich set of capabilities including monitoring, tracing, log management, as well as machine learning (ML) features that help detect outliers. One of its most interesting feature sets falls under the Watchdog umbrella. Watchdog Root Cause Analysis Watchdog automatically detects outliers in metrics… Continue reading Zebrium RCaaS: A Natural Evolution From Datadog Watchdog Insights Log Anomaly Detection