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Cisco Launches Full Stack Observability Platform

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Cisco announced the launch of a new Full Stack Observability Platform—a vendor-agnostic solution that harnesses the power of the company’s full portfolio. It delivers contextual, correlated, and predictive insights that allow customers to resolve issues more quickly and optimize experiences, while also minimizing business risk.

This industry-leading offering enables a new observability ecosystem that brings data together from multiple domains including application, networking, infrastructure, security, cloud, sustainability, and business sources.

Cisco’s FSO Platform is focused on OpenTelemetry and is anchored on Metrics, Events, Logs, and Traces (MELT), enabling businesses to seamlessly collect anpd analyze MELT data generated by any source. The Cisco FSO Platform is also designed as a unified, extensible platform, allowing developers to build their own observability solutions, empowering an ecosystem of customers and partners.

Cisco FSO Platform Applications: Cloud Native Application Observability

Cloud Native Application Observability is the premier solution delivered on Cisco FSO Platform. It helps customers achieve business outcomes, make the right digital experience related decisions, ensure performance alignment with end-user expectations, prioritize, and reduce risk while securing workloads.

In addition to Cloud Native Application Observability, the first set of modules on Cisco’s FSO Platform are:

Cisco is already collaborating with partners, including CloudFabrix, Evolutio, and Kanari, to develop and monetize a diverse ecosystem of solutions for the Cisco FSO Platform that enable meaningful, new use cases and rapidly deliver customer value from observable telemetry. 

Cisco FSO Platform launch partners are building novel solutions and extending the Platform’s reach to new customers and business use-cases:

The Cisco FSO Platform marks a key advancement in Cisco’s accelerating FSO strategy. Partners can unlock even more value for themselves and their customers through extensibility. AI-driven root cause analysis, experience optimization, and incident management are tied to business context so teams can identify, prioritize, resolve, and predict issues before they impact end users and their business.

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