Issue visibility
Bring application issues into a view engineers can work from.
ErrorLens
AI-assisted debugging, monitoring, and issue visibility supporting engineering investigation and response.
An internal engineering tool within the Digital Cubic stack.
Engineering Intelligence
A failure signal is only the start of the work. ErrorLens supports visibility, triage, and debugging so engineers can understand the issue and decide what needs investigation next.
Bring application issues into a view engineers can work from.
Review the available context and identify what needs attention.
Support investigation with assistance that engineers evaluate against the evidence.
Follow signals related to application behaviour and reliability.
Look at the engineering work around issues and response.
Support engineering visibility across the product stack.
Explore the workflow
This conceptual example shows issue intake, triage, and investigation. AI assistance supports the engineer’s judgement; the demonstration does not apply changes to a system.
Review the application signal and the information available for investigation.
Examples illustrate issue visibility, not live incidents or reliability metrics.
Illustrative records and interactions — this is not a live product session.
Engineers have a place to start investigating.
Available signals inform the next action.
Engineers check explanations and proposed changes.
Investigation findings inform ongoing development.
A connected sequence
This example shows how the work moves between people and records. Your roles, configuration, and requirements are reviewed in a product discussion.
Receive a signal with the available application context.
Assess the issue and identify an investigation owner.
Use context and assistance to form a testable explanation.
Check the proposed change and its effects.
Use the findings to improve the engineering response.
Before we get started
It is presented as internal engineering tooling within the Digital Cubic stack. Standalone availability is not advertised here. Contact us to discuss your debugging and visibility needs.
This page describes AI-assisted debugging and engineering visibility, not autonomous remediation. Engineers investigate, review, and validate changes.
Vloud concerns cloud deployment and runtime operations. ErrorLens concerns issue visibility, debugging, and engineering response. Together they describe complementary parts of the operating stack.
Explore the wider stack
These products address related parts of the operation. The right combination depends on your workflow and the systems already in place.
Need help with implementation, integration, or team enablement?
AI & Intelligent Automation ↗Start with your requirements
Walk us through your workflow, the people involved, and your existing systems. We’ll discuss the current product scope and the right next step.
Discuss engineering visibilityPeople, processes, and existing systems.
Modules, workflows, and configuration needs.
Agree scope, integration, and rollout considerations.