Dynatrace
Full-stack observability for the applications that cannot go down.
Why QKTech and Dynatrace?
Enterprise systems produce more telemetry than teams can read, and each tool shows only part of the picture, which slows diagnosis while customers wait. Dynatrace’s 2026 study of 450 senior technology leaders found that organizations use an average of 7 different tools for logs, a sign of how fragmented that picture has become.
Dynatrace is an AI-powered observability platform. It collects metrics, logs, traces and user data in one place, maps how applications and infrastructure depend on each other, and uses AI to find root causes. QKTech deploys it and runs it for enterprises and helps put observability at the heart of the IT transformation.
Where observability programs are under pressure
7
Different tools used for logs on average per organization, with 86% of log data excluded on average, in a study of 450 leaders at enterprises with $750M+ revenue
37%
Of platform engineers name tool integration as their biggest barrier, and nearly 50% of SREs say too many data sources and metrics hinder SLO management, in a study of 919 leaders
70%
Of leaders report higher observability budgets year on year, and 75% expect a further increase next fiscal year, in a study of 842 leaders
Results from a QKTech Dynatrace program
10 hours
to 15 minutes Time to identify the root cause of service-impacting problems
5 to
2
Monitoring tools after consolidation onto Dynatrace
8 seconds
to Under 1 Application response time after the program
What does Dynatrace bring, and what does QKTech add?
Full-stack observability
One store for telemetry
AI observability
Dynatrace Intelligence
Full-stack observability
Deployed once per host, OneAgent discovers every process, service and dependency automatically, and Smartscape maps how they connect.
QKTech plans the rollout and designs tagging, service maps and alerts around your critical journeys.
One store for telemetry
Grail, the Dynatrace data lakehouse, holds metrics, logs, traces, events and sessions together.
QKTech builds dashboards for critical applications, and business and engineering teams read the same numbers.
AI observability
Dynatrace monitors token usage, latency and model reliability across AI services and detects hallucinations, prompt injection and PII leakage.
QKTech adds evaluation and governance from our Reliability of AI practice.
Dynatrace Intelligence
Dynatrace describes Dynatrace Intelligence as an agentic operations system that combines deterministic and agentic AI, aimed at self-healing operations under human oversight.
QKTech adds runbooks, escalation paths and command-center practice around it.
Insights
Challenges we’ve met
Success Stories
Leading Thoughts
Al Rajhi Takaful puts observability at the heart of its IT transformation
Root cause analysis fell from about 10 hours to 15 minutes, and five monitoring tools became two.
Read more
A Leading Global Bank Achieves Digital Resiliency With QKTech’s Bank-in-a-Box Framework
For a bank with 120 million+ customers, Dynatrace supplied APM and real user monitoring from day one, and Severity-1 defects in production fell to zero.
Read more
Common questions about Dynatrace and QKTech
Here is how we answer the questions operations and engineering heads ask most often.
What is Dynatrace used for?
Dynatrace is an observability platform. It brings metrics, logs, traces and user data together, maps dependencies and uses AI to find the cause of a problem.
What is OneAgent?
OneAgent is the Dynatrace agent. Deployed once per host, it discovers the processes, services and dependencies on that host automatically.
Can Dynatrace monitor AI applications?
Yes. Dynatrace AI Observability monitors token usage, latency and model reliability, and detects hallucinations, prompt injection and data leakage. QKTech adds evaluation and governance.
Has QKTech used Dynatrace for banks and insurers?
Yes. In our Bank-in-a-Box program for a global bank with 120 million+ customers, Dynatrace supplied APM and real user monitoring from day one, and Severity-1 defects in production fell to zero (case study). At Al Rajhi Takaful, root cause analysis fell from about 10 hours to 15 minutes (Dynatrace customer story).
Get insights that matter. Deliver experiences that are simply better.
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