If you’re juggling complex, cloud-based, containerized systems and aiming to meet high customer expectations, your old monitoring processes probably don’t cut it anymore. Increasing infrastructure complexity means you need to instrument more, log more, and monitor more. That leads to even more complexity. The answer is better observability, right? Yes and no. Observability and monitoring are critical, but they are only part of what you need for service awareness and availability.

At ScienceLogic, we’ve always believed in the power of innovation and the importance of customer satisfaction. We are excited to announce that we have been honored with the TrustRadius Best of Award in the AIOps category for 2023. This is a testament to our dedication to providing exceptional value, top-notch features, and building enduring relationships with our customers.

AIOps for DevOps. This is a phrase that you’ll hear a lot often in the coming years. Leveraging AIOps is becoming an emerging practice for DevOps. And why not? After all, AIOps offers so many benefits for DevOps, making it a must have for every business. But what exactly are these benefits? To know more, keep reading this blog where we will discuss everything about AIOps for DevOps including its.

What is AIOps? Simply put, AIOps uses big data, analytics and machine learning to automate and improve IT operations (ITOps). AI is particularly important in ITOps functions such as anomaly detection and event correlation, as it has the ability to analyze large volumes of network and machine data to find patterns, identify the cause of existing problems and find ways to forecast and prevent future issues.

AIOps — a term coined by Gartner back in 2017 has emerged as one of the hottest talking points in the realm of ITOps. Since its inception, its adoption by large enterprises has gone up from 5% to 30% in 2023. This impressive 6X growth is a clear indicator that AIOps is here to transform how businesses manage their IT operations. But what is it that makes AIOps special? What are the benefits of AIOps that businesses are looking to leverage.

“Zero Days” may be one of the most recognizable cybersecurity terms, other than hacker of course, for good reason. Zero Day Vulnerabilities are notoriously challenging for defending security teams to identify. Because of delays between active exploit and discovery, they are one of the worst examples of “Known Unknowns” in cybersecurity (Other than user’s behavior of course..). It’s important to understand that Zero Days are not really brand-new vulnerabilities.

A festive in-person and online event marks 20 years of groundbreaking innovation at ScienceLogic by celebrating the people who make it all happen.