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Cisco Announces New Business Metrics for Cisco Cloud Observability

Cisco announced new business metrics in Cisco Cloud Observability, powered by the Cisco Observability Platform to enhance business context for modern applications running on Amazon Web Services (AWS).

This latest release also supports integration with AWS services and application performance monitoring (APM) correlation and provides end-to-end visibility into the performance of cloud native applications.

This new capability empowers users with:

- Support for multiple business metrics within a business transaction.

- Easy identification of business transactions configured with business metrics for troubleshooting.

- User-friendly configuration interface that enables users to preview business transaction attributes for accuracy and set up mission-critical metric alerts.

- Advanced KPI visualization including baseline performance and a historical analysis trend line, to easily identify when business performance is abnormal.

- Data segmentation by selected attribute values for quick visibility of customer segments being affected most.

Supporting integration with more AWS services, DevOps teams can also now observe AWS Lambda functions as an entity within Cisco Cloud Observability APM pages, helping them to understand the functions' contribution to an application, correlate their performance to overall user experience and quickly troubleshoot unexpected behavior.

"By elevating business metrics to first-class status, similar to other performance-related metrics, we enable organizations to mature their observability practice by empowering technical teams to prioritize technical issues that are aligned with business outcomes," said Ronak Desai, Senior Vice President and General Manager for Cisco AppDynamics and Full-Stack Observability.

Cisco also announced support for 10 additional AWS services that are now pre-integrated with Cisco Cloud Observability. By tying together applications, business transactions, business metrics and expanded support for AWS infrastructure services, application owners can gain deep cross-domain visibility across the full stack.

Business metrics for Cisco Cloud Observability is now available.

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Cisco Announces New Business Metrics for Cisco Cloud Observability

Cisco announced new business metrics in Cisco Cloud Observability, powered by the Cisco Observability Platform to enhance business context for modern applications running on Amazon Web Services (AWS).

This latest release also supports integration with AWS services and application performance monitoring (APM) correlation and provides end-to-end visibility into the performance of cloud native applications.

This new capability empowers users with:

- Support for multiple business metrics within a business transaction.

- Easy identification of business transactions configured with business metrics for troubleshooting.

- User-friendly configuration interface that enables users to preview business transaction attributes for accuracy and set up mission-critical metric alerts.

- Advanced KPI visualization including baseline performance and a historical analysis trend line, to easily identify when business performance is abnormal.

- Data segmentation by selected attribute values for quick visibility of customer segments being affected most.

Supporting integration with more AWS services, DevOps teams can also now observe AWS Lambda functions as an entity within Cisco Cloud Observability APM pages, helping them to understand the functions' contribution to an application, correlate their performance to overall user experience and quickly troubleshoot unexpected behavior.

"By elevating business metrics to first-class status, similar to other performance-related metrics, we enable organizations to mature their observability practice by empowering technical teams to prioritize technical issues that are aligned with business outcomes," said Ronak Desai, Senior Vice President and General Manager for Cisco AppDynamics and Full-Stack Observability.

Cisco also announced support for 10 additional AWS services that are now pre-integrated with Cisco Cloud Observability. By tying together applications, business transactions, business metrics and expanded support for AWS infrastructure services, application owners can gain deep cross-domain visibility across the full stack.

Business metrics for Cisco Cloud Observability is now available.

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Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...