Operations | Monitoring | ITSM | DevOps | Cloud

The absence of topology can be a key inhibitor for AIOps tools, creating blind spots for AIOps as they only have access to event data. A topology, an IT service model, or a dependency map is a real-time picture of tools and services that are connected and dependent on each other to deliver an IT service. Suppose an application is driven by cloud-native technology, connected with any kind of ephemeral systems (containers and microservices), and relies on storage, database, and a load balancing tool.

With BigPanda’s self-service Email Parser, extracting alert data from emails has never been more simple. In our latest video in the Fast track series, we explore the benefits of this tool. This parser is ideal for monitoring tools and systems that do not support REST API and or rely solely on email to generate and send alerts. So no matter what tools your organization utilizes, this feature can help you turn all of those alert emails into actionable incidents within BigPanda’s platform.

Event correlation is a powerful capability that can help reduce IT noise, detect incidents in real-time, and improve the performance of critical applications and services. Read on for a deep dive into event correlation as we explore everything from its origins to its current state-of-the-art techniques. We’ll also discuss how event correlation fits into the bigger picture of integrated service management.

Our own Chief Revenue Officer, Todd McNabb, recently sat down with Melissa Graham, Sr. Vice President of Global Sales at SHI International, to discuss our new partnership.

Healthcare around the world is constantly evolving. The amount of data being generated daily from every appointment and interaction, no matter how small or large, needs to be processed and analyzed in order to improve patient outcomes. The data must be accurate, stored, accessible and secure. Without a core infrastructure of smart IT, any outcomes are extremely challenging to generate, and data must be available in seconds for doctors to make life-saving decisions. The bottom line?

Just consider how much of your day relies on online digital technologies. Perhaps you hopped on an app to pre-order your morning coffee and then logged onto a platform to book a car to work. Or, perhaps you stayed home to work, using digital tools to connect with your colleagues and exchange information.

Can it help businesses? Machine learning is an inescapable buzzword for many in the operations sector. Even friends and colleagues tend to make us aware of a new ML tool that may or may not be useful. While there are many ML tools in the market, not all are suitable for every business. Some tools, when tested, struggle to solve basic, everyday use cases. Therefore, when evaluating ML tools, other deeper questions and issues do arise.

AIOps stands for artificial intelligence for IT Operations. AIOps, is a set of tools and algorithms that gather data from the entire IT environment, including different monitoring systems, log files and other IT data sources. It then analyzes and applies machine learning algorithms to determine the root cause of an incident. This means that instead of having to go through a long troubleshooting process by analyzing log files and manually looking for root causes, AIOps does it for you in minutes.