The definition of AIOps continues to evolve, but understanding the fundamentals of how it works can help you keep up and invest in the right AIOps platform, tools, and features. According to Gartner, AIOps “combines big data and machine learning to automate IT operations processes”. Specifically, Gartner explains that “AIOps platforms analyze telemetry and events, and identify meaningful patterns that provide insights to support proactive responses”.

Over the years, as companies have moved from monolith to cloud-native architectures, maintaining high availability has become more challenging. After all, today’s IT ecosystems are complex, distributed and ephemeral, making it increasingly difficult (and, in many cases, downright impossible) for DevOps practitioners and SREs to identify and fix issues manually.

TL;DR: Data aggregation is the process of collecting and organizing large sets of data from multiple sources in order to provide a comprehensive view of a particular situation or system. It allows organizations to better understand and make sense of the vast amount of data being generated in the modern, highly connected world.

Let’s get one thing out of the way: we’re going into 2023 on a high-note. We’ve closed deals with some of the most respected companies in both the UK and US, we’ve hired in the double-digits, expanded into New York, and revenue is growing steadily. But we aren’t hanging up our football boots just yet. Yes, we can take some time to celebrate our wins, but we’re all hands on deck for 2023 planning.

An Intrusion Prevention System (IPS) is a network security and threat prevention tool. Its goal is to create a proactive approach to cybersecurity, making it possible to identify potential threats and respond quickly. IPS can inspect network traffic, detect malware and prevent exploits. IPS is used to identify malicious activity, log detected threats, report detected threats, and take precautions to prevent threats from harming users.

IT Operations has always been difficult. There is always too much work to do—and not enough time to do it. The frequent interruptions and high levels of toil certainly don’t help. Moreover, there is relentless pressure from executives that question why everything takes too long, breaks too often, and costs too much. In search of improvement, we have repeatedly bet on new tools to improve our work.