// Quality Doesn't Stop
at Release. It Starts There.
Production quality engineering that treats release day as the start of quality work, not the end. Quality signals that come from real users, not just synthetic tests.
// Is Your QA Actually Shift-Right? Run This Quick Audit.
// Part of the Same Quality Lifecycle
Production observability closes the loop that starts with Shift Left.
// Our Shift-Right Services
Quality Observability
Quality observability services that turn production telemetry into SLOs and error budgets.
Software quality monitoring platform, real-time quality monitoring services, user journey health
Explore Quality Observability
AIOps for QA
AIOps testing services that separate real regressions from expected noise, at scale.
AIOps for quality engineering, AI-driven QA operations, AIOps QA monitoring
Explore AIOps for QA
Feature Flag & Dark Launch Validation
Feature flag testing that validates rollout logic before it reaches real users.
Dark launch validation, canary release testing, progressive delivery testing services
Explore Feature Flag Testing
// The Tools Behind Our Shift-Right Practice
// Measurable Impact
100%
Production Visibility Target
3
Services in the Shift-Right Group
Continuous
Quality Monitoring
Zero
Silent Production Regressions Goal
// What Engineering Teams SayAbout Working With Jignect.
// Latest Articles.
// Questions, Answered.
What's the difference between monitoring and quality observability?
Monitoring tracks system health. Quality observability services go deeper, measuring user-facing signals like error rates and feature success, connecting infrastructure data to actual quality outcomes.
How does AIOps for QA differ from standard application monitoring?
Standard monitoring alerts on known thresholds. AIOps testing services detect novel anomalies, run root cause analysis at scale, and predict failures before they reach users.
Do we need existing feature flags to benefit from this service?
No. We audit your deployment process, design flag infrastructure, and validate implementation, building feature flag testing practice from scratch if needed.
Can you integrate with our existing Datadog or New Relic setup?
Yes. We integrate with all major APM platforms, Datadog, New Relic, Grafana, and Prometheus, building quality-specific views on top of your existing instrumentation.
Is shift-right QE relevant for teams not yet using CI/CD?
Yes. Even monthly-release teams benefit from production quality monitoring and feature flag validation. We tailor the approach to your release cadence.