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 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.
The company is well underway in integrating its observability pipeline and adding log collection and control to its SaaS Observability platform. The new features aim to help customers simplify their overall collection and management requirements and should help lower costs.
The newly announced HPE Aruba Networking Enterprise Private 5G service is one of the first private cellular offerings from a prominent edge-to-cloud company. It should give HPE and its channel an early advantage in creating solutions for customers using private cellular technology.
The company is making good use of generative AI in augmenting its product and services offerings, streamlining and optimizing the difficult and time-consuming aspects of incident management. The challenge for PagerDuty will be to educate its customers about its growing capabilities.
The startup is pursuing a specific set of enterprises that are running into scaling issues with their time-series databases for the collection and processing of application and infrastructure telemetry. Its founders come from organizations in demanding fields, so they understand the issues that potential customers face.
The idea of artificial intelligence taking over the world is not far-fetched. In consumer and enterprise products and services, research institutions, and most fields of employment, AI is being developed and used. The path to its benefits will take some time, however, as software vendors navigate the complexities of adding AI to customer applications.
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