Customers evaluate a modern observability and monitoring solution by the ROI they get, self-monitoring capabilities ultimately improve scalability and quality. The value of any observability solution lies in its ability to proactively detect and alert customers to issues before they cause a business-impacting outage. IT infrastructures and applications can fail in many different ways.

IT Operations teams must detect and address incidents quickly to ensure efficient operations and reliable IT infrastructures. As organizations grow and scale their service offerings, their IT environments inevitably become more complex. Filtering through alerts becomes increasingly challenging due to excessive noise and a lack of end-to-end visibility. As a result, IT operations teams are forced to escalate issues more frequently.

Network operations have become increasingly complex due to the distributed nature of modern applications which use data from private data centers, public clouds and the internet to provide end user services. With the adoption of these multi-cloud, multi-tier application architectures, network engineers must integrate new services (e.g AWS Direct Connect and Kubernetes clusters) from cloud providers into their existing services.

eG Innovations brings a unique AIOps-powered approach to IT Service Management (ITSM) and IT Operations Management (ITOM) cycles for managing digital workspaces. The eG Enterprise platform is equipped with capabilities for automated corrective actions, event-based triggers, and remote-control functionalities.

When IT operations run smoothly, it’s more likely everything else in the organization will as well. Unfortunately, tech sprawl can make IT environments more prone to issues that hinder end users or, worse, customers. Recent research shows that up to 50% of organizations juggle multiple tools for observability. Too many disparate tools to monitor too many systems and applications create siloes, slowing incident response and resolution times.

Organizations invest heavily in robust systems, talented personnel, and sophisticated tools to ensure smooth operations. Yet, small anomalies often escape attention—minor glitches in applications, occasional lags in processes, or subtle irregularities in performance metrics. These may appear insignificant, but when left unaddressed, they can cascade into significant disruptions, leading to operational inefficiencies, financial losses, and reputational damage.

Data complexity increases every year. The three Vs of data—volume (the amount of data streaming in and out), velocity (the speed of generation, processing, and streaming), and variety (different forms ranging from structured databases and semi-structured XMLs to completely unstructured data as media files)—are also increasing in complexity.

As work environments for entire industries continue to evolve between on-site, remote, and hybrid models, the performance of IT operations (ITOps) teams is more critical than ever. If you need proof, just remember the global impact of the CloudStrike outage. Operations teams must monitor, triage, communicate, and manage incidents 24×7 across all services. SaaS, legacy on-premises, and homegrown tools and systems are all stretching to meet business demand. Customer expectations are ever-increasing.

In a recent webinar, BigPanda CEO Assaf Resnick noted that for the last 15 years, CIOs staked their reputations on how effectively they could move their enterprises to the cloud. Assaf predicts CIOs will focus on integrating generative AI into their enterprises over the next 10 years to deliver tangible business value. IT operations (ITOps) and IT service management (ITSM) offer significant opportunities to incorporate AI to enhance and accelerate their processes.

DX Operational Observability (DX O2), a next-generation AIOps and Observability solution from Broadcom, offers two powerful capabilities that generate valuable insights from complex log data. Since DX O2 supports ingestion of logs from a wide variety of sources, the solution offers an enormous opportunity to improve observability and power AIOps.