As per the latest forecast by Gartner, worldwide IT spending is projected to amount to $4.6 trillion in 2023, up by 5.1% from 2022. The demand for IT will be strong in 2023 as enterprises launch digital business initiatives to respond to global economic challenges. In a downward economy, conventional wisdom warrants reducing costs.

NASA’s Nov’16 2022 launch kicked off highly anticipated Artemis 1 mission, sending an uncrewed Orion capsule on a nearly 26-day trek to the moon and back. The Space Launch Systems (SLS) megarocket appeared to perform exactly as planned during the liftoff, and was “simply eye-watering,” said the agency. Drawing analogies, we here at CloudFabrix had our own “Artemis 1 moment”.

According to one survey, 94% agree that AIOps is “important or very important” to manage network and cloud applications performance. AIOps intends to help customers contextualize humongous data volumes and streamline IT operations with automation. As IT infrastructure grows in complexity, alerts flood IT Ops centers and Ops teams drown in managing the deluge.

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.

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.

A pivotal inhibitor to mitigate these challenges is the Data Value Gap. Data automation and Data Fabric are emerging as key technologies to overcome these challenges. Learn from industry experts about these key technologies and how they create a lasting impact in enterprise IT.

This is the first Feature Byte in the AIOps series. The idea of the Feature Byte series is to talk about key operational tasks and processes in AIOps, and how CloudFabrix Data-Centric AIOps platform features help implement such tasks. Look for more such feature bytes over the next few weeks.