Cisco’s one-of-a-kind conference, Cisco Live EMEA 2024 in Amsterdam, marked a pivotal milestone in illuminating the path forward with a spotlight on AI, operational simplicity, and security. Bringing key network telemetry and correlating it with the business outcomes has become quite essential for Modern Enterprises and CloudFabrix addressed this by launching three new modules for the Cisco Observability Platform.

Modern hybrid IT estates generate huge volumes of data at velocity, a testament to today’s digital reality. But for IT Operations Management (ITOM) teams charged with keeping tabs on system health, this data proliferation can be a nightmare scenario. Tool sprawl, alert storms, manual analysis, and disconnected insights make maintaining a current state, let alone supporting better business outcomes, a perpetual challenge.

If you’ve been keeping up on what’s buzzing in the IT operations and software development space in the past few years, then you know that the concepts of AIOps and observability have been getting a lot of attention. And while they are related, they each address a different aspect of managing and monitoring IT systems.

ITOps and DevOps teams face many challenges. Their responsibilities are extensive, from navigating complex IT environments at scale to quickly addressing performance issues and minimizing downtime and outages. Enhancing your organization’s IT service assurance requires you to ensure the reliability, performance, and availability of IT services.

In recent years, traditional IT management techniques have found it extremely challenging to navigate the speed and volume of innovation especially when it comes to capacity planning. It has led to the emergence of Artificial Intelligence for IT Operations (AIOps) to enable measurable digital transformation. As companies recognized the vast potential of AI, investments in AIOps soared, positioning it as a big deal in modernizing IT operations.

Embracing digital transformation means increasing your reliance on a variety of IT systems, applications, and networks. Organizations are adopting advanced solutions like IT monitoring software and Artificial Intelligence for IT Operations (AIOps) to manage this complexity. These tools provide real-time insights into IT ecosystem health and performance, using AI and machine learning to support proactive decision-making and automation.

When it comes to federal IT modernization, technical debt presents a catch-22. CIOs, IT administrators, and developers know they must modernize their legacy infrastructures to whittle down their technical debt. However, modernization necessitates the need to purchase new solutions, which can end up adding to the technical debt load and create an even more complex IT landscape.

Selector is excited to give a sneak peek into new features to be included in our forthcoming Spring Release. This release highlights key innovations focusing on integrated generative AI (GenAI) to enable guided troubleshooting and automated incident remediation. It also includes enhancements to several existing features, such as root cause analysis, native monitoring, and observability capabilities.