Executive Summary: Capture Opportunities and Mitigate Risk with Greymatter Sensemaking Models
As enterprise applications scale across clouds and environments, traditional observability—built on isolated metrics and signals—falls short. Teams spend too much time interpreting raw data, reacting to incidents, and chasing clarity across different dashboards. The result: slower responses, higher risks, and missed opportunities.
Greymatter simplifies this complexity. Instead of flooding teams with noise, our platform distills critical service, API, and data metrics into clear intelligence. Using structured modeling, Greymatter focuses on relevance over volume. Our platform highlights service degradation, unusual behaviors, compliance gaps, and system wide inefficiencies without the guesswork.
Through intentional design, Greymatter helps teams align on what matters—reducing time to resolution, improving cross functional understanding, and boosting efficiency.
With Greymatter’s unified platform and sensemaking models, organizations gain clarity, not clutter—and turn observability into a strategic advantage.
Why organizations need more than signals
Deploying and managing application architectures is complex, requiring skill that’s hard to acquire and costly to maintain. Typically, measurement across clouds and services focuses on counters, statistics, and time, providing only basic signals of potential problems or opportunities. However, this method forces you to interpret signals piece by piece, leading to lost opportunities or increased risk exposure.
To respond faster and more effectively, enterprise leaders need smart metrics for fact based decision. Greymatter helps organizations shift from traditional observability to insights with sensemaking models.
How Greymatter sensemaking models work
Greymatter’s sensemaking models analyze application, API, and data service metrics for business purposes. Designed with “silence” in mind, they focus on diagnosing situations and highlighting key information, avoiding overwhelming users with too many alerts. This reduces time spent gathering data to understand traffic and system metrics.
Powered by our Catalog Registry of Apps, APIs, and microservices, the Greymatter dashboard offers an aerial view of the distributed environment. It reveals key details like health checks, listener filter chains, event timelines, compliance, and service level configurations. Our sensemaking models highlight what matters most.
- Infer the health of services and provide specific, explicable, and actionable insights when the health of a service degrades.
- Surface unusual behavior, often in advance of failures.
- Audit user and endpoint behavior to highlight noteworthy activity.
- Observe user requests by user and timeline, making it easier to adjust costs to services most used by customers, or to potentially uncover abnormal user behaviors within their environments.
- Translate user experience metrics into scorecards for rapid knowledge capture and easier cross team information sharing and collaboration, saving teams time.
Greymatter helps technical and business teams cut through the clutter and make informed, data driven decisions. For example, providing the insights needed to identify and troubleshoot performance issues more quickly, prevent security breaches, optimize resource usages, improve compliance posture, and capture growth opportunities.
Our goal is to simplify your life with a unified application networking platform that extends service mesh and connectivity. Our sensemaking models guide customers through complex environments, improving performance, scalability, and security while reducing costs.
Next Steps:
Ready to shift from signal overload to insight? Contact us to see how Greymatter can transform your application intelligence.
