dZ Trace
AI-Powered Observability Platform with a Source of Intelligence
Optimize and resolve issues in a unified platform designed for your enterprise where observability becomes a crucial component of the operational lifecycle. Identify root cause across the systems in seconds with our platform.
dZ Trace - Built for Cloud and Enterprise Systems
Traditional observability tools were built to collect and visualize data but can’t gain the insights around it. This is where operations teams buried under thousands of alerts, spending hours correlating signals across disconnected tools to find a root cause that dZ Trace identifies in seconds. Replace noise with intelligence, powered by digi edZe.
Power Up Your Enterprise with digi edZe's dZ Trace
We come up with the expertise of delivering innovative solutions for the enterprises that demand AI powerfulness and platform capabilities. A unified platform to act on your infrastructure outages is engineered for observability as the systems evolve.
Designed for Cloud-Native and Microservices
Drive reliability and meet performance goals in rapidly evolving environments through real-time discovery of dependencies and workload changes. It delivers intelligence for serverless, containers, and Kubernetes deployments.
Foster Team Collaboration
AI-powered root cause and impact analysis for traces, logs, metrics, and events to track changes across every environment. Advanced querying for massive data volumes enables the teams to complete observability and effective collaboration.
Optimize Infrastructure Performance
Identify slow queries, health and performance insights, and dependency mapping to optimize infrastructure performance at scale.
dZ Trace Platform Capabilities
dZ Trace is built with a promise of unified observability, anomaly detection, and brings cost-efficient architecture for your enterprise. Transform the way you work and shift from complex cloud environments and siloed teams to simplified operations.
Application performance monitoring, infrastructure metrics, distributed tracing, and user experience analytics in a single, coherent platform. Correlations across separate tools happen automatically and instantly. Whenever a user reports a slow checkout, dZtrace shows the complete picture including service, infrastructure, deployment, and dependency, without requiring any human involvement.
AI RCA engine maintains a continuously updated graph of your entire infrastructure, encoding dependency relationships, behavioral patterns, historical incident signatures, and timing correlations specific to your environment. During the incident, the engine traverses this graph in seconds thus evaluating millions of potential factors to identify the root causes.
Built on open-source foundations, dZtrace delivers observability capabilities comparable to Dynatrace, Datadog, or New Relic at 80% lower cost. The platform’s intelligent sampling and aggregation techniques control storage costs without sacrificing analytical depth.
Automatic discovery and continuous mapping of service dependencies, data flows, and inter-service communication patterns across your entire application layer. Distributed traces are collected, sampled intelligently, and analysed in context.
dZtrace learns your infrastructure’s normal operating patterns and predicts when metrics will exceed thresholds before they actually do. This predictive capability enables proactive remediation through scaling capacity before demand spikes, optimizing queries before they slow databases, addressing memory leaks before they crash applications. Operations teams shift from reactive incident response to proactive performance optimization.
dZtrace reduces alert noise by 95% through correlation and suppression of redundant alerts. When a network partition affects 100 services, operators receive one intelligent alert explaining the root cause rather than 100 separate alerts for each impacted service. Alert fatigue decreases dramatically, on-call quality of life improves, and teams respond faster to genuine incidents.
Observability data volume is one of the primary drivers of monitoring cost in high-traffic environments. dZtrace’s intelligent sampling engine retains the data that matters for analysis — high-error traces, anomalous patterns, threshold-approaching metrics — while aggregating routine data at a lower resolution. Analytical depth is preserved. Storage costs are controlled without the blunt instrument of simple percentage-based sampling that discards high-value data randomly.
Business Impact
dZ trace solves alert fatigues by understanding the signals that matter, correlating the related events, and eliminating the redundancies without a human touch.
Alert Noise Eliminated - Reduce the alert volume by 95% without increasing the risk of missing genuine incidents
<30 seconds Mean Root Cause Analysis Time - Identify root cause under 30 seconds even for the complex distributed systems
Proactive Anomaly Detection - Enable teams from incident response to incident prevention for operational teams
80% Lower Than Market Leaders - Comparable observability capability to Dynatrace, Datadog, and New Relic at 80% lower cost
