Real-time operational visibility, portable architecture, and a common view for SRE, DevOps, and engineering leadership.
EyeNode by DDOSCOM brings metrics, logs, traces, and continuous profiles into a shared operational context.
OpenTelemetry
EyeNode by DDOSCOM uses an open standards-based architecture compatible with OpenTelemetry. It unifies observability data without requiring a proprietary format, enabling interoperability and reducing the operational cost of changing your observability strategy.
Organizes standards-based telemetry within a consistent operational context. Your team reuses existing instrumentation knowledge and workflows, reducing technical rework and integration time.
Telemetry is not tied to a proprietary EyeNode schema. You retain the ability to move data across compatible platforms, reducing migration risk and protecting your technology investment.
Metrics, logs, traces, and continuous profiles share context for investigating system behavior down to production code. Correlation connects the alert, transaction, event, and exact line of code, reduces tool switching, and accelerates MTTR.
EyeNode connects all four pillars within the same incident context so each technical data point reduces investigation time and leads to a verifiable action:
Detect anomalies and show system health so teams can prioritize alerts by impact and begin triage with evidence.
Record detailed, timestamped events to reconstruct what happened, validate changes, and reduce manual searching during an incident.
Follow the end-to-end path of each request across microservices to locate the affected transaction, its dependencies, and the point of degradation with less triage.
Continuously analyze CPU and memory consumption alongside production code execution to isolate bottlenecks down to the exact line without restarting services. This preserves diagnostic continuity and accelerates remediation.
Alert — Metric → Transaction — Trace → Event — Log → Exact line of code — Continuous profile.
Correlation maintains a verifiable sequence: alert in the metric → transaction in the trace → timestamped event in the log → exact line of code in the continuous profile. The team eliminates manual tool switching, isolates the root cause, and accelerates MTTR.
Review every signal in the same context to distinguish symptoms, dependencies, and likely causes. This operational view reduces triage time and directs response toward actual impact.
Analyze response times and endpoint performance to locate degradation across services and dependencies.
Business benefit: Reduces the time required to identify bottlenecks and prioritizes fixes that protect user experience and transaction continuity.
Analyzes throughput and system demand (requests per second, transactions, or network load) to anticipate capacity needs.
Business benefit: Provides visibility into real service demand to optimize infrastructure and prevent outages during traffic spikes.
Track failure rates and detect anomalies that change the expected behavior of applications and services.
Business benefit: Shortens triage, focuses response on impactful failures, and reduces operational exposure during an incident.
Review resource usage and limits across nodes and containers to identify pressure on CPU, memory, or other available capacity.
Business benefit: Improves capacity planning, contains overprovisioning, and reduces the risk of incidents caused by resource exhaustion.
