CloudFabrix, the Robotic Data Automation Fabric inventor, announced “Data Fabric for Observability” with dynamic Data Ingestion and Automation service (DIA) for the Cisco Observability Platform. You can see the powerful combination in play at Cisco Live Melbourne between December 5-8th, 2023. Cisco epitomizes “Experience as the new Digital Currency” with its observability platform.

As an IT leader, you’re under significant pressure to control the constant alerts. Somehow, you must manage non-stop IT alerts while also ensuring ultra-high service availability. The task is far from easy, and even the most sophisticated teams struggle to keep up and turn alerts into action with tech stacks that are constantly growing in size and complexity. IT alert management is the first line of defense.

Effective IT change management is essential for maintaining smooth operations in today’s fast-paced, agile IT environment. Given that 85%, or the vast majority, of incident-impacting alerts result from changes, optimizing your change management means improving your incident management and ensuring critical system reliability. So whether your organization uses ServiceNow for change management or is considering using ServiceNow, we’ll walk you through everything you need to know.

This blog summarizes the discussion of our recent CIO Boardroom on the theme of AI-Driven Enterprise IT in association with the CIO Association of India held at JW Marriott, Bangalore, on 17th October, 2023.

PagerDuty is an IT operations management platform and cloud computing company launched in 2009. They provide a suite of tools designed to help IT and DevOps teams detect and respond to infrastructure problems, streamline workflows, and improve operational reliability. The PagerDuty platform bridges different systems and the teams that maintain them, centralizing the detection and reporting of incidents. It allows organizations to minimize downtime and resolve issues efficiently.

In the ever-evolving world of IT, keeping an eye on application, service and system performance and addressing issues in real-time is crucial both to an organization’s customer experience, as well as its overall success. Two terms and approaches that have gained significant attention in recent years are AIOps and observability. While they both relate to improving IT monitoring and management, they serve distinct roles in enhancing operational efficiency.

Network monitoring is the process of continuously scrutinizing a computer network for failures or deficiencies to ensure availability and performance. AIOps (Artificial Intelligence for IT Operations) is an umbrella term for the integration of artificial intelligence (AI) technologies into network operations. It involves using machine learning, analytics, and big data to automate and enhance IT operations.

When it comes to observability, we’ve found that most organizations have ~20 tools installed in their IT environments. With so many tools, it’s difficult for IT leaders to gain insight into how their tools are performing and determine how much value ITOps is bringing to the organization.

In IT, the introduction of Artificial Intelligence for IT Operations (AIOps) has been nothing short of revolutionary. As networks become increasingly complex and data-driven, traditional network management methods are proving inadequate. AIOps has emerged as a critical tool in the arsenal of network managers, offering innovative solutions to manage and optimize networks in real-time.