Luciq
luciq.aiMobile app observability for crashes, performance, user sessions, and product signals.
Mobile app observability for crashes, performance, user sessions, and product signals.
Instrument Java and ColdFusion applications with an on-prem agent that exposes application, system, and database performance.
Create functional API tests from specifications or recorded traffic, then extend them into security and performance checks.
Inspect database health and query performance across mixed on-premises and cloud estates.
Monitor critical website journeys alongside uptime and page-load performance checks.
Monitor website uptime, performance, certificates, and related site checks from one external service.
Performance cycles with review templates, feedback, and calibration
Multi-rater feedback inside configurable performance review cycles
Goal-linked performance conversations with configurable review cycles
Connected HR and talent tools with ongoing performance activity tracking
Connect application and infrastructure performance to the business transactions users depend on.
AI content platform that predicts which copy will perform better
Combine network flow, device, cloud, and synthetic telemetry to investigate traffic and service performance.
A network and server monitor that discovers devices, tracks performance, and routes threshold-based alarms.
Compare validator performance, rewards and operator records
Record and run realistic web and API load tests in real browsers, then review user-facing timings.
Plan and run scripted performance tests with RadView's WebLOAD dashboard and cloud or self-managed load generators.
Performance reviews and recurring meetings connected with goals and development
Collect distributed traces and service health data to investigate application performance.
Managed books and a connected dashboard for cash and business performance
Accounting-linked forecasts and management reports
Track crypto markets and build a portfolio from the quantities you hold
Fit, evaluate, and reuse Python models for common supervised and unsupervised machine-learning tasks.
Combine connected app performance with market intelligence and app-store optimization.