Although Generative AI traces its origins to the earliest machine learning models in the 1950s, its popularity and usage has accelerated exponentially over the past year after OpenAI issued the first public release of its ChatGPT (generated pre-trained transformer) AI chatbot in December 2022. Generative AI holds the potential to transform many professions including IT operations.

If one story stands out in the tech industry for 2023, it was the coming-out party for generative AI. OpenAI’s ChatGPT artificial intelligence chatbot, which was publicly released late in 2022, seized the industry’s imagination in 2023, becoming the fastest-growing consumer application ever. The technology quickly evolved throughout 2023 with a paid subscription service; an API; iOS and Android versions; an enterprise version; plug-ins; and an AI image generator.

This recurring blog will look at specific ITOM technologies within the OpsRamp solution and general ITOM challenges. Got an idea for this blog or want to learn more about ITOM at OpsRamp?

In today's digital-first landscape, maintaining the health and performance of your network is critical for the seamless operation of your business and its services. To that end, network observability has emerged as a key concept and discipline in ensuring the robustness and performance of networks. But what is network observability?

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.

Application tracing may be getting all the hype these days and rightfully so, as monolithic Java and.Net applications give way to microservices-based applications in modern IT environments. Distributed tracing provides visibility into the flow of requests between the microservices that make up these applications, helping you to spot performance and network connectivity issues.

In the ever-evolving and fast-changing landscape of cloud computing and modern software development, achieving 360-degree visibility into your critical business services, applications and infrastructure is essential. This is where observability comes into play. Observability, especially in a cloud-based or cloud-native environment, has become a critical aspect of maintaining and optimizing complex systems and services.

As distributed, interconnected microservices have replaced monolithic applications, application monitoring has had to evolve to support these modern, complex architectures. Rather than monitoring a single application and code base, organizations need to monitor the performance and network connectivity of multiple services that interact with each other.

Use SaaS-based tools to improve margins, get a "single pane of glass" view for more accurate IT management data. A version of this blog first appeared on Channel Futures A couple of decades ago I sat down with my manager to consider how to improve the project’s operating margins.

The combination of Hewlett Packard Enterprise and OpsRamp is helping organizations to manage and transform their multi-vendor and multi-cloud IT estates with AI-driven operations, improving the performance and reliability of those environments while reducing complexity and technical debt.