It is getting spooky out there, folks! Every year on October 31, we don our spookiest (or silliest) garb, an evolution of old practices where people would dress up to ward off ghouls, goblins and all manner of things that go bump in the night. After all, people believed these pesky spirits stirred up trouble. While pieces of this spooky tradition persist, just a few other things have changed in the past 2,000 years. For starters, we are a digital society.

Modern AIOps doesn’t just fix outages — it prevents them – Is your business one accidental click away from a major outage? We saw it happen with Atlassian earlier this year. You may already have an incident management strategy and monitoring, but is it adjusted for the ever-changing IT infrastructure and application architectures? Putting appropriate protocols in place ensures that one human code push can’t shut down an entire system for three weeks.

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.

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.

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.

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.

I am thrilled to announce that ScienceLogic posted its best quarterly sales bookings in our company’s history! Amid warnings from the broader tech industry slowdown, ScienceLogic proved once again to be an outlier, as current macro trends continue to drive strong demand for IT transformation.

In our inaugural State of Availability Report, we discovered that not only do metrics matter but the way we use them also does. Our research found that teams with fewer KPIs were more likely to meet their Service Level Agreements (SLAs) and provide their customers with higher levels of availability. The problem with having too many KPIs is that they cause information overload and noise.

Digital data is everywhere, and its sheer volume and ambiguity often make it challenging for us humans to analyze. That’s why we use a special branch of AI called artificial intelligence for IT operations (AIOps) to reveal the deeper structure of copious data. AIOps sits at the intersection of big data and machine learning to improve the efficiency of IT operations.

Summer has passed and it’s time for fall - cue transitioning leaves, cozy blankets, and all the pumpkin-themed things your heart could ever desire. As we move into the new season, we are excited to announce our fall product releases across Moogsoft Cloud that enable engineers to detect incidents earlier, resolve them faster, and work as a team across the entire lifecycle. Moogsoft’s Fall product updates enable you to: … and so much more! Read on for deeper details.

Event correlation and AIOps go hand-in-hand. Event correlation is the process of identifying patterns in data that may indicate a problem or opportunity.

As organizations grow and become more complex, so does the need to monitor and troubleshoot issues across the entire IT infrastructure. Event correlation is a powerful technique that can help make sense of the huge volume of alert data generated by monitoring systems and identify problems as they occur. In this blog, we’ll look at event types, use cases for event correlation and approaches that organizations can use to get the most out of this valuable tool.

Over the past few years, artificial intelligence for IT Operations (AIOps) has risen in popularity within the technology landscape. It’s become a buzzword in the marketing world, and while there are many ways to define AIOps, the best way to start thinking about it is through the lens of outcomes, correlation and strategy—it’s all about the data.

SAP AWS hybrid cloud is a mixed environment consisting of a combination of on-premises infrastructure, private cloud services, and the public cloud - e.g., Amazon Web Services (AWS) - with the ability to exchange information between different environments.

Continuous availability and unceasing innovation are prerequisites for today’s digital businesses. So it makes sense that business leaders invest heavily in teams and tools to monitor digital apps and services. In theory, these tools should also free up time for engineers to push new functionalities that wow customers. But do these investments actually result in more uptime and customer-delighting innovations?

There’s plenty of loaded terminology and buzzword bingo when it comes to the latest advances in cloud application delivery. Especially when it comes to multi-cloud – which should merely mean multiple cloud instances when modern cloud applications really leverage multiple hybrid IT operating models, atop both existing business silos and newer microservices application workloads.