Operations | Monitoring | ITSM | DevOps | Cloud


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

Tap Into Fully Integrated Hybrid Cloud Monitoring for Faster Resolution

Late last year we announced ScienceLogic’s Hollywood release, aimed at accelerating AIOps adoption through its human-friendly platform. By integrating generative AI insights with observability and automation, we took a big step forward in simplifying the work of IT teams. A key component of this goal was upgrading SL1’s features, specifically our now fully integrated hybrid cloud monitoring for faster troubleshooting.

Introducing Next-Level Innovations on Virtana's AIOps Platform

In an era defined by rapid technological advancements and complex digital infrastructures, implementing advanced capabilities is how IT leaders stay ahead of the curve. We are at the forefront of this revolution, continuously evolving to meet and exceed the demands of modern IT landscapes. Today, we are thrilled to announce a series of innovative features and capabilities designed to transform how organizations manage and optimize their digital environments.

Jumpstart your self-healing IT with BigPanda and Ansible

Imagine a world where IT systems hum along, proactively detecting and resolving issues before they turn into full-blown outages. No frantic fire drills, no late-night heroics, just seamless self-healing powered by automation. It’s the siren song of self-healing IT systems, beckoning every enterprise ITOps team. Despite the allure of streamlined incident response workflows, many attempts at IT automation sink before they can swim.

Navigating the Waters of System Performance: A Deep Dive into a Recent Incident

In digital transactions, even the slightest hiccup can ripple through the system, causing significant disruptions. Our recent encounter with an unexpected system slowdown and a noticeable drop in transaction success rates is a testament to the intricate balance required to maintain seamless operations. This post aims to shed light on the incident, our findings, and the measures we’ve taken to fortify our system against future disturbances.

What Is AIOps (Artificial Intelligence for IT Operations)?

The main challenges in IT operations are ever-increasing complexity, diverse technologies, the relentless pace of change, and the need for a skilled team that can keep in step with the never-ending evolution of technology. Traditional approaches to IT operations struggled to keep up with the sheer volume of data, incidents, and the dynamic nature of modern IT environments.

How to streamline your ITIL incident management process

Are you trying to streamline your sluggish ITIL incident management? Maybe you’re facing challenges with incident routing, lengthy resolution times, or inconsistent team communication. If so, the IT Infrastructure Library (ITIL) can help you improve IT reliability and incident resolution. This blog unveils the secrets to optimizing your ITIL incident management processes to take your incident response from slow to stellar.

Security and Compliance Network Cyber Essentials

Best practices are key when approaching your cybersecurity and compliance strategy, any source of guidance is beneficial. The Cyber Essentials is a UK Government, industry-supported set of best practices introduced by the National Cyber Security Center (NCSC) to help organizations demonstrate operational security maturity.

IT in Motion: The ScienceLogic Innovation Story

ScienceLogic CEO and Co-founder, Dave Link, jumps on the IT in Motion podcast for a special episode revealing our NEW book, Innovation: Journey and Outcomes for the AIOps Revolution. In this episode, Dave discusses the inspiration for writing the book as well as some of his favorite chapters in the story.

Data-centric AIOps: The Next Frontier With Observability Pipelines

Data-centric AI is the new frontier in AI, where the models themselves now remain stationary while tools, techniques and engineering practices improve data quality. As Andrew Ng puts it, “Data-centric AI is the discipline of systematically engineering data to build an AI system.”