Why IyziTrace
IyziTrace is OpenTelemetry-native APM that traces an incident to its root cause, shows which services it puts at risk, and connects your team to the response.
The challenge
The alert fires in seconds. Finding the cause and the impact takes hours.
Traces, logs, metrics and dependencies live in different tools. Every investigation starts by switching between them.
An alert names one unhealthy service. It doesn't say which applications and workflows will fail with it.
Every service reports healthy while customers can't log in, check out or pay.
Licensing tied to cores, memory, data volume and add-on features grows faster than the systems you monitor.
Why organizations choose IyziTrace
Each one answers a question your current tools leave open.
Nexus combines observed service relationships with your infrastructure inventory to show what a failure puts at risk:
Know what could break next, not just what broke first.
AI Investigations reads traces, logs, metrics and service relationships together. It points to the likely root cause, the bottleneck and the exception patterns involved, and links each finding to the telemetry behind it so engineers can verify it.
Your models, your AI strategy. Use your own AI provider and API credentials. Model choice, usage costs and data governance stay under your control.
Through Model Context Protocol (MCP) integrations, IyziTrace connects investigations to your external tools, operational platforms and enterprise systems. Agents can recommend an action, start an approved workflow or execute an authorized operation, then check fresh telemetry to confirm the result.
You set the limits: every sensitive action runs through your authorization rules, tool permissions and approval controls.
Synthetic tests run your critical digital journeys around the clock:
Example: a synthetic checkout fails at the payment step. Engineers go straight to the services, API calls and dependencies behind that step. AI Investigations proposes the cause, and the response starts through your connected tools.
A checkout journey that fails at the payment step
On-premises licensing counts active monitored nodes: physical servers, virtual machines and Kubernetes/OpenShift worker nodes. No matter how many cores, how much RAM or how many pods each node runs, it counts once.
Example: a Kubernetes environment with 20 worker nodes, 64 CPU cores per node and 600 application pods needs 20 node licenses. SaaS is licensed by volume.
See pricingHow it works
Collect traces, metrics and logs with OpenTelemetry SDKs, agents and Collectors, correlated with infrastructure and dependency context.
AI points to the likely root cause and Nexus shows what else is at risk, each finding linked to its evidence.
Start the response through your MCP-connected tools, then confirm the fix with fresh telemetry.
Why not just Grafana?
Grafana is a powerful foundation for metrics, logs, traces and alerting. Turning it into a complete APM means your team designs, builds and maintains the workflows, and keeps doing it.
IyziTrace ships that work finished: estate visibility, service placement, dependency impact, database and exception analysis, AI investigations, collector management, inventory context and enterprise authorization. Your team keeps the familiar Grafana foundation and skips the assembly.
The platform
Fourteen modules, one connected view of your applications and infrastructure.
| Module | The question it answers |
|---|---|
| Overview | Where in my technology estate does something need attention? |
| Atlas | Where does each application service run? |
| Nexus | If this service fails, what else is at risk? |
| Service Map | How do my services communicate with one another? |
| Services | Which services are slow, failing or seeing abnormal traffic? |
| Trace Pulse | Which distributed requests are behaving unusually? |
| SQL Lens | Which database operations are slowing applications down? |
| Log Studio | What do the related logs say about this incident? |
| Exception Radar | Which errors are new, increasing or recurring? |
| AI Investigations | What is the likely root cause, and what is the evidence? |
| Agent Manager | How are my OpenTelemetry collectors organized and configured? |
| Inventory Managementadd-on | Which infrastructure entities do I have, and how are they related? |
| Alerting | Which operational conditions need attention? |
| Authorization | Who can access each application, team resource or capability? |
Proof on your terms
Keep your current APM. Run IyziTrace alongside it on selected services, under real operating conditions, and compare:
Start small. Validate results. Scale with confidence.
Enterprise ready
IyziTrace is being adopted in retail, FMCG and banking, where application performance and operational visibility are critical.
Telemetry stays in infrastructure you control. SaaS is available when you prefer a managed option.
Customer-managed models and API keys support your internal governance rules.
Control access to applications, teams and platform capabilities.
Physical servers, virtual machines, Kubernetes and OpenShift.
Modernizing observability, speeding up incident investigation or evaluating operational AI: see IyziTrace on a live environment in 30 minutes, and plan a pilot on your own services.
Observe. Investigate. Act. From application performance to business outcomes.
Notes. Synthetic tests measure configured test journeys; real conversion rates, abandoned transactions and revenue impact require real-user or business-data integrations. Root-cause findings and dependency views depend on available telemetry. External AI services, MCP integrations and outbound connections are configured according to your security policies. Instrumentation coverage, especially for legacy systems, is validated during technical evaluation. Established APM vendors offer many comparable capabilities; features, editions and contracts vary.