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.
AI and ML is being used to mine the deluge of data that is collected for insight, for predictions of outages, and to build comprehensive visualizations of complex applications. Observability of AI platforms and their foundational models are currently managed by data scientists tasked with selecting and developing the models used for the enterprise applications.
Enterprises are ready and waiting for the benefits of AI. Vendors that are slow to provide AI in their products will lose early mover advantage as potential customers seek out smarter observability platforms.
The company emerged from stealth in July and is hoping to attract the attention of developers and DevOps teams that need a lightweight, easy-to-use and low-cost observability tool that they can integrate with their existing workflows with little additional training or overhead.
IT operations are facing the increasing complexity of modern software systems, and Kloudfuse is a promising startup in the observability platform segment that offers cost-effective and scalable solutions. The company has received significant funding and has a customer base that includes renowned organizations like GE Healthcare and Workday.
The vendor has been bringing products and services to market to provide networking for AI workloads, positioning its QFX and PTX switching and routing platforms along with Apstra for AI workloads. Juniper is now building on those products with what it calls Ops4AI initiatives: an Ops4AI Lab, multi-vendor Juniper Validated Designs and fabric auto-tuning for AI.
New Alert Set
"My Alert"
Failed to Set Alert
"My Alert"
Here are a few tips for navigating our Research.
Quickly access any of our research and data products.
Browse the research & data that aligns with your specific interest.
Discover new and more flexible ways of finding relevant content.
Set notifications for the topics & companies you care about most.
Access any page in the dashboard from here.
Hand picked content for you and your team.
