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Monitor performance, detect issues, and understand system behavior across distributed MES components.
Schedule a demoMonitor performance, detect issues, and understand system behavior across distributed MES components.
Schedule a demoModern MES environments are complex by design. They require dozens of services, databases, APIs, and Kubernetes components. For large corporations the challenge is bigger, as the MES is often distributed across multiple sites. When something slows down or fails, the cause is rarely obvious.
Observability helps you understand what’s really happening inside your MES. And in all MES installations you have.
It turns telemetry data (logs, metrics, and traces), into clear insights that allow teams to detect issues early, troubleshoot faster, and keep production running smoothly.
As MES architectures become more composable, traditional monitoring tools are no longer enough. They can tell you that something is wrong, but not why.
Observability goes further. It shows how services interact, where time is spent, and which components are under stress, so teams can move from reactive firefighting to proactive control. This is especially critical when performance degradation or downtime can have a direct production impact.
Observability builds on telemetry data but adds context and correlation.
Instead of isolated data points, you gain a connected view of system behavior:
This makes it possible to investigate unexpected behavior, identify root causes, and understand patterns that would otherwise remain hidden.
Get real-time visibility into system activity, including request volumes, exceptions, throughput, and service impact. This helps teams detect abnormal behavior early and address bottlenecks before they affect production.
Understand how the MES is actually being used across sites and roles. Identify the most visited pages, slowest screens, and UI bottlenecks, with context such as browser, platform, device, and location. These insights help optimize both performance and user experience.
Monitor database response times, job execution, failures, and long-running tasks. Observability highlights patterns over time, making it easier to detect degradation early and ensure critical MES processes remain reliable.
Follow API calls end-to-end across services to understand exactly where time is spent. Traces reveal latency issues, service dependencies, and failure points, significantly reducing time to root cause during incidents.
Gain dedicated insights into IoT components, including error patterns, log distribution, and device-level details. This makes it easier to detect issues at the edge before they cascade into production disruptions.
Observability is designed specifically for Critical Manufacturing MES, giving teams immediate, application-level insight without relying on generic monitoring tools.
It combines purpose-built technology with expert oversight to help you detect issues earlier, troubleshoot faster, and continuously improve system performance.
This approach ensures you receive relevant, actionable insights—not raw data—so teams can focus on keeping production stable and efficient.
