Operations | Monitoring | ITSM | DevOps | Cloud

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.

Broadband subscriber behavior analysis is the process of collecting and analyzing data on how broadband subscribers use the internet. This data can be used to gain insights into subscriber needs and preferences, as well as to identify potential problems with the broadband service.

As cloud applications and services gain prominence amongst organizations, adversaries are evolving their toolset to target these cloud networks. The surge in remote work and teleconferencing presents unprecedented opportunities for nefarious activities. Enter the MITRE ATT&CK Framework, also known as a MITRE ATT&CK Matrix—a treasure trove for defending cloud infrastructure and on-premises infrastructure against the newest adversary tactics, techniques, and procedures (TTPs).

In this year’s report, we see how organizations are using containers not just to solve their day-to-day infrastructure needs. Rather, customers are exploring the next technology frontier of containers by building next-generation applications, enhancing developer productivity, and optimizing costs.

According to a study by Zippia, 70% of the organizations already have a digital transformation policy in place or are currently working on one. This implies the growing significance of modernization in IT. With new-age techniques such as SD-WAN, organizations can deliver an enhanced end-user experience, ensure reliable QoS, enhance their network security, optimize their network performance, and reduce their overhead costs.

The dynamic landscape of technology has ushered in a new era of data management and storage. As organizations grapple with the vast amount of data they generate and collect, cloud data management and storage have become invaluable solutions. Yet, this convenience comes with its own set of challenges.

Infrastructure Monitoring can be a powerful tool for engineers to analyze, visualize and comprehend if a backend is affecting users, by collecting health and performance data from containers, servers, databases, virtual machines, and other backend components in a tech stack. Within this article, we will outline what Infrastructure Monitoring is, how it works, what Infrastructure Monitoring as a Service is, and some benefits of the solution.

Application Performance Monitoring (APM), tracing, and observability are fundamental software development and system management approaches. Each of these three concepts uniquely ensures that your applications operate, efficiently, smoothly, and reliably. Your organisation will more than likely already adopt one of these approaches, or even two, potentially all three.

Grafana Tempo 2.3 has been unleashed upon the world, bringing with it the latest iteration of the vParquet backend! Tempo 2.3 has a little bit of everything, but the headline item here is vParquet3 and new features that improve search speeds. Watch the video above for all the details, or continue reading to get a quick overview of the latest updates in Tempo. If you’re looking for something more in-depth, don’t hesitate to jump into the changelog or our Grafana Tempo 2.3 release notes.