Full Stack Observability
We transform businesses by engineering reliability into every digital asset, ensuring defect-free releases that earn trust and scale impact.
Proactive monitoring for reliable digital performance
Chief Digital Officers and IT leaders face a flood of fragmented tools, scattered telemetry and constant alert fatigue. It is hard to see what matters, let alone act fast.
QKTech removes the noise with an AI-driven observability framework. It unifies infrastructure, applications, logs and business metrics in a single, actionable view. We integrate two partner solutions, DevRev PLuG and the Watermelon Operations Module, with leading APM and open-source platforms. Together they give you clarity and control across complex digital ecosystems.
Why our observability goes beyond the stack
We connect systems to user journeys. Teams fix issues sooner and recover with less disruption, and decisions rest on better evidence.
Infrastructure Observability
QKTech unifies data across compute, storage, memory and network layers. Silos and alert noise no longer hide the issues that traditional tools miss. With BFSI expertise and open-source strength, we help you resolve problems faster and plan infrastructure with confidence.
Application Observability
We simplify complex, hybrid environments by connecting cloud, on-prem and microservices data. Using leading APM tools and custom data lakes, we link metrics to user journeys. Pre-built dashboards speed up resolution and support stable, high-quality experiences.
Log Analytics
Our engine captures and correlates logs across servers, containers and microservices and ties them to metrics and traces. This reveals hidden issues, speeds investigations and improves root cause clarity for overall application health.
Business Analytics
We connect technical performance to outcomes by mapping real-time user journeys, funnels and KPIs. With integrated monitoring and dashboards, teams spot pain points instantly and act faster.
Pick a feature or go full suite
Smart alert suppression to reduce noise
Auto-baselining to flag anomalies
Distributed tracing to follow latency across services
Context tagging for faster root cause detection
Time-series insights to spot trends and patterns
SLO-based alerts that prioritize what matters
Auto-updating maps of evolving stacks
Smooth integration with DevOps and incident tools
Feedback-driven tuning from post-mortems to monitoring
From logs to outcomes: observability that drives business impact
<5 min
to detect performance issues (MTTI)
<15 min
to restore services (MTTR)
50%
reduction in production defects per release
Zero
recurring issues across monitored applications
About
82%
improvement in resolution time at a premier Indian life insurer
24x7
critical application monitoring, with insights every 2 hours
Insights
Challenges we’ve met
Success Stories
Latest Insights
Banking & Financial Services
QKTech’s Monitoring Solution Provides Consistent Insight into Payment Gateway Journey Performance
Learn more
Common questions about full stack observability
What is full stack observability?
Full stack observability joins telemetry from infrastructure, applications, logs and business data in one view. Teams trace an issue from the user’s screen to its root cause.
How does full stack observability reduce alert fatigue?
It correlates alerts from many tools, suppresses duplicates and ranks what remains against service-level objectives. Engineers see fewer, better alerts.
How is full stack observability different from application performance monitoring?
Application performance monitoring watches the application tier. Full stack observability adds infrastructure, logs and business data, which lets teams explain a slowdown as well as detect it.
Which tools do you work with?
We integrate with leading APM and open-source platforms, alongside our partner solutions DevRev PLuG and the Watermelon Operations Module.
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