Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on AIOps, alerting in complex systems and related technologies.

AIOps Provider ScienceLogic Acquires Machine Learning Analytics Provider Zebrium to Provide At-A-Glance Root Cause Visibility

Moving toward its goal of freeing up resources of enterprise IT teams and optimizing digital experiences, AIOps and hybrid-cloud IT management provider ScienceLogic has acquired machine learning analytics firm Zebrium to automatically find the root cause of complex, modern (i.e., containerized, cloud-native) application problems.

Event types and use cases for event correlation

As organizations grow and become more complex, so does the need to monitor and troubleshoot issues across the entire IT infrastructure. Event correlation is a powerful technique that can help make sense of the huge volume of alert data generated by monitoring systems and identify problems as they occur. In this blog, we’ll look at event types, use cases for event correlation and approaches that organizations can use to get the most out of this valuable tool.

How AIOps enhances operational efficiency

Digital data is everywhere, and its sheer volume and ambiguity often make it challenging for us humans to analyze. That’s why we use a special branch of AI called artificial intelligence for IT operations (AIOps) to reveal the deeper structure of copious data. AIOps sits at the intersection of big data and machine learning to improve the efficiency of IT operations.

Monthly Moo | October 2022

Summer has passed and it’s time for fall - cue transitioning leaves, cozy blankets, and all the pumpkin-themed things your heart could ever desire. As we move into the new season, we are excited to announce our fall product releases across Moogsoft Cloud that enable engineers to detect incidents earlier, resolve them faster, and work as a team across the entire lifecycle. Moogsoft’s Fall product updates enable you to: … and so much more! Read on for deeper details.

Webinar: Making the case for AIOps

Over the past few years, artificial intelligence for IT Operations (AIOps) has risen in popularity within the technology landscape. It’s become a buzzword in the marketing world, and while there are many ways to define AIOps, the best way to start thinking about it is through the lens of outcomes, correlation and strategy—it’s all about the data.

The Monitoring Problem: Too Many Tools + Too Much Time = No Room for Innovation

Continuous availability and unceasing innovation are prerequisites for today’s digital businesses. So it makes sense that business leaders invest heavily in teams and tools to monitor digital apps and services. In theory, these tools should also free up time for engineers to push new functionalities that wow customers. But do these investments actually result in more uptime and customer-delighting innovations?

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What Is a Business Service & How Can AIOps Support It?

We talk a lot about business services and how to keep them running at peak efficiency, but every now and then these questions arise: what exactly is a business service, how can I provide the best possible experience to my users, and how does it affect the performance of my IT estate?

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Why Composable Analytics Matter for Multi-Cloud AIOps

There’s plenty of loaded terminology and buzzword bingo when it comes to the latest advances in cloud application delivery. Especially when it comes to multi-cloud – which should merely mean multiple cloud instances when modern cloud applications really leverage multiple hybrid IT operating models, atop both existing business silos and newer microservices application workloads.