Cloud computing has transformed the landscape of IT and business over the past several years, offering unparalleled speed, scalability, flexibility, and cost-efficiency to organizations of all sizes. However, amidst the widespread adoption of cloud technologies, there's a noteworthy phenomenon that's also gaining attention and traction: cloud migrations and repatriations.

In recent years, hybrid cloud environments have emerged as a popular, if not de facto, choice for many organizations seeking flexibility, scalability, and security in their IT infrastructure. Industry research firm Mordor Intelligence pegs hybrid cloud as a nearly $130bn market in 2024, growing at a better than 22% clip over the next five years.

As IT environments become more complex, cloud-based and divided across microservices, containers, and serverless computing, opportunities to optimise efficiency and improve performance open up. From cost and capacity savings to improving the speed, responsiveness and reliability of apps, it’s clear businesses are increasingly making the connection between IT and commercial outcomes.

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.