Mike Fratto is a senior research analyst at S&P Global Market Intelligence, leading the observability and networking research segments. He focuses on understanding the competitive landscape of the segments he covers by understanding the competitors’ strategies and putting them into context. He has extensive experience in enterprise security and network infrastructure products, as well as consulting with enterprise IT, equipment and software vendors, and service providers. Mike’s current interests in observability include the ways that metrics, events, logs and trace (MELT) data is analyzed and presented to the user via contextual visualizations; how MELT data is used to create and maintain dynamic application and infrastructure topologies; the application of artificial intelligence and machine learning to surface new insights; and observability’s role in optimizing manual and automated workflows and processes. Mike is interested in network automation in all its forms, including software-defined networking, scripting and automation systems. Networking in support of cloud and microservices continues to be an important, vibrant and competitive field. Mike graduated from Syracuse University with a bachelor's degree in information science and technology.
The company's recent product launch introduces several features aimed at enhancing hybrid observability and agentic AIOps. It claims deeper visibility across AI workloads and multicloud environments, with the goal of enabling IT teams to optimize resource allocation and reduce blind spots.
Our Market Monitor & Forecast estimates that in 2024, the observability market reached $23 billion, reflecting a 15% growth year over year. Looking ahead, we project this market to maintain a compound annual growth rate of 9% through 2029.
Applying generative AI to programming tasks offers organizations numerous opportunities. AI can assist developers in generating or suggesting code, testing and securing code, and improving documentation. AI-enabled tools are also valuable for code discovery, explainability and skills development. For line-of-business users with little coding experience, generative AI provides an opportunity to create or customize applications or engage in analytics.
The growth of foundation models in customer environments and as services should spur demand for AI observability platforms. Startups offering AI operations and observability aimed at developers and IT operations could be enticing acquisition targets for observability vendors, among others, looking to expand their capabilities with AI expertise.
Following Cisco's acquisition of Splunk, the latter has been steadily executing on its road map during the integration into Cisco, adding new security analytics and reporting, AI enhancements targeting observability and incident management, and new business insight and cloud reporting to its set of capabilities.
OpsRamp is focusing on delivering significant product updates, particularly in the areas of cloud-native observability, network observability and AI-driven operations. These updates are aimed at providing users with a more comprehensive and integrated view of their IT environments.
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