Operations | Monitoring | ITSM | DevOps | Cloud

In the latest instalment of our interviews speaking to leaders throughout the world of tech, we’ve welcomed Chris Campbell, CIO at DeVry University.

In the ever-evolving landscape of software development and IT operations, monitoring tools play a pivotal role in ensuring the performance, reliability, and availability of your applications. Two key disciplines in this domain are observability and Application Performance Management (APM). This post will help you understand the nuances between observability and APM, exploring their unique characteristics, similarities, benefits and differences.

Here we go again! Multimodal AI is the “next big thing” in artificial intelligence technology. But what exactly does multimodal mean, and how does it differ from the AI models we’ve all grown familiar with? Let’s take a look.

The modern IT landscape consists of many distributed systems, which can pose a challenge if you are responsible for the end-to-end performance of these systems. As a platform engineer today, that is exactly what the job requires. You must juggle between dozens of tools to meet SLAs. This is why a modern solution is needed to bridge the gap between disjointed infrastructure and application stacks…and this is why the Splunk Observability platform was born.

Observability, in modern software engineering, has evolved into a paramount concept, shedding light on the intricate inner workings of complex systems. Three essential pillars support this quest for clarity: logging, traces, and metrics. These interconnected elements collectively form the backbone of observability, enabling us to understand our software as never before. Think of a system as a bustling city.

Digital transformation is at the core of media and entertainment organizations, it’s vital for these firms to constantly evolve to provide the best user experience to their customers. These companies must seek new and interesting content, services, and tailored offerings that enhance the audience’s experience and supply personalization. However, whilst these investments are essential to remain competitive, they’re also particularly costly.

About seventy-two percent of businesses operate in a hybrid IT environment, mixing their cloud-based services with traditional on-premises infrastructure. These hybrid environments offer many benefits, from scale, speed, and flexibility to security, cost savings, and control, blending the best of both worlds.

Are you tired of sifting through data without context? Cribl Search adds valuable depth to your data, making it much easier to understand and analyze. No more squinting at cryptic logs or puzzling over unknown IP addresses! ️ Some common examples of how Cribl Search can enrich your data are adding service names or matching to threat intelligence. Another popular data enrichment is adding geographical location to events based on IP addresses.