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.

Imagine you’re in the middle of a critical project, and suddenly, your system crashes. Or perhaps it’s the middle of the night, and your server goes down, affecting countless users. Some IT incidents are inevitable, but the way you manage them makes all the difference in minimizing their impact. You know that proper incident management is critical – and that incidents can become costly.

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.

Change is the only constant in today’s continuously shifting IT landscape. Whether you’re adding new observability tools, retiring existing monitoring systems, establishing new business units, or onboarding IT systems from acquisitions, managing these non-stop changes can challenge even your expert ITOps team. Trying to get your monitoring house in order is a daunting task.

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.