Introducing OrionIQ: The End of Manual Observability
Today I am excited to announce that OrionIQ, our Agentic Observability Platform, is now available to all Logz.io customers.
After six months in beta with dozens of customers, we learned an enormous amount. The feedback shaped everything. Now it is time to open it up.
Software development has changed. Operations has not.
We are in the middle of a massive shift in how software gets built. Claude Code, Codex, and similar tools are turning development into an increasingly automated process. You describe what you want. The code writes itself.
But when something breaks at 2 a.m., a human still wakes up. Opening dashboards, digging through logs, and investigating code they might have briefly scanned during a PR review. The build process is becoming autonomous. The fix process is still entirely manual.
That is a fundamental flaw, and it only gets worse as AI-generated code ships faster.
What does OrionIQ do?
OrionIQ is the investigation and monitoring agent built for this new reality.
By combining real-time telemetry, in-stream compressed insights, Anthropic’s most capable agents, and your organization’s context and playbooks, OrionIQ can investigate incidents, identify root causes, and act on your behalf.
Every person who uses an observability tool today can now put OrionIQ to work as an SRE, an NOC engineer, or a customer support engineer. You do not need to be an expert to get expert-level answers.
What can you do with OrionIQ today?
Out of the box, OrionIQ agents can wake up and handle an alert on their own. They can verify that a deployment is safe before your team even touches it. They can run the investigation while your engineers sleep.
When the time and cost of a deep investigation drop by an order of magnitude, entirely new use cases become viable. Agents proactively check your critical flows. They catch early signs of degradation before customers notice. They know your runbooks and follow them precisely, every single time.
This is not about replacing your team. It is about giving your team back the hours they spend on work that should not require a human.
Built on what we know
Logz.io has been in the observability space for over a decade, and we have seen how enterprises operate at scale. OrionIQ is built on that foundation, including patented telemetry compression technology that enables fast, cost-efficient deep real-time analysis and it works with the tools you already have: Logz.io, Datadog, Grafana, New Relic, PagerDuty. No rip-and-replace. A working agent in one week.
ORIONIQ AT A GLANCE
OrionIQ introduces a layer of intelligence and automation across the incident lifecycle, helping teams move from detection to resolution with greater speed and consistency.Key capabilities include:
Telemetry Correlation Across Signals
Aggregates and correlates logs, metrics, traces, and recent system changes into a single incident-level view.
Early Root Cause Hypothesis Generation
Surfaces likely causes at the start of an investigation to accelerate initial diagnosis.
Automated Triage and Context Assembly
Collects relevant telemetry and attaches diagnostic context to alerts and tickets before human review.
Alert Prioritization Using System Context
Evaluates alerts against broader system behavior and historical patterns to determine which require action.
Consistent Execution of Operational Workflows
Applies predefined investigation and response steps in a structured and repeatable way.
Shared Incident Context Across Teams
Maintains a consistent set of diagnostic information as incidents move between support, operations, and engineering.
Signal Value Identification for Cost and Clarity
Highlights high-value versus low-value telemetry to support more efficient data usage and cost control.
ORIONIQ AT A GLANCE
OrionIQ introduces a layer of intelligence and automation across the incident lifecycle, helping teams move from detection to resolution with greater speed and consistency.Key capabilities include:
Telemetry Correlation Across Signals
Aggregates and correlates logs, metrics, traces, and recent system changes into a single incident-level view.
Early Root Cause Hypothesis Generation
Surfaces likely causes at the start of an investigation to accelerate initial diagnosis.
Automated Triage and Context Assembly
Collects relevant telemetry and attaches diagnostic context to alerts and tickets before human review.
Alert Prioritization Using System Context
Evaluates alerts against broader system behavior and historical patterns to determine which require action.
Consistent Execution of Operational Workflows
Applies predefined investigation and response steps in a structured and repeatable way.
Shared Incident Context Across Teams
Maintains a consistent set of diagnostic information as incidents move between support, operations, and engineering.
Signal Value Identification for Cost and Clarity
Highlights high-value versus low-value telemetry to support more efficient data usage and cost control.
What’s Next for AI-Driven Observability?
The beta taught us what enterprises actually need from an agentic system, and we are just getting started. The next phase goes deeper: richer organizational context, more powerful custom agents, and tighter integration into the workflows your teams already rely on.
If you are a Logz.io customer, OrionIQ is available to you now. If you are not, I would love to show you what it can do.
If you’re interested in learning more, sign up for a demo with a product expert today.
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