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.
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.
The company wrapped up its year with significant product enhancements — launching its Differential Diagnosis tool for enhanced trace analysis and adding new streamlined enhancements to its Lens feature to improve operational workflows.
AI in conjunction with observability is increasingly expected to assist IT in tasks including data summarization, deep data analysis and visualizations, and making recommendations. However, the hype around AI can make it challenging for buyers to discern genuine capabilities.
The company's network observability, like IT observability, aims to improve on monitoring by applying AI, ML and modeling to network data. Selector has enhanced its product, adding GenAI capabilities like network language/natural language model and digital twin technology network management and analysis.
Enterprises are moving more applications and workloads to clouds. Graphiant's Data Assurance features offer risk, performance and path assurance using a mix of technology, application classification, and operations to ensure and report on policy implementation and compliance.
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