AI-powered observability with Dynatrace
Full-stack monitoring that actually tells you what is wrong. Dynatrace Davis AI analyzes your entire environment and pinpoints root causes automatically.
Talk to an observability expertWhy Choose THNKBIG for Dynatrace Implementation
As a Dynatrace Partner based in the United States, THNKBIG brings deep observability expertise to enterprises across Texas, California, and nationwide. We have implemented Dynatrace for organizations ranging from Houston energy companies monitoring thousands of microservices to Los Angeles entertainment platforms tracking millions of user sessions. Our US-based engineers understand that observability is not just about collecting data — it is about surfacing actionable insights that reduce downtime and accelerate innovation.
What sets Dynatrace apart — and what we help you maximize — is the Davis AI engine. Unlike dashboards that require constant human interpretation, Davis automatically detects anomalies, identifies root causes, and prioritizes problems based on business impact. Our implementations focus on tuning Davis for your specific environment: configuring service-level objectives (SLOs), setting up intelligent alerting that eliminates noise, and integrating problem notifications with your incident management workflows. The result is 70% faster mean-time-to-resolution (MTTR) for our clients.
We specialize in Kubernetes observability with Dynatrace — a challenging domain where traditional APM tools struggle. OneAgent automatically instruments containers, maps service dependencies across namespaces, and correlates performance issues from user experience through infrastructure. For enterprises in Austin, Dallas, San Francisco, and San Antonio running complex microservices architectures, we configure Dynatrace to provide the deep visibility needed to operate confidently at scale. Our implementations ensure you see every transaction, every dependency, and every anomaly across your entire stack.
Our Dynatrace Observability Expertise
Our engineering team includes certified Dynatrace professionals who have implemented the platform across every major cloud provider and Kubernetes distribution. We have deployed Dynatrace on EKS, AKS, GKE, OpenShift, and self-managed clusters — handling the unique challenges each environment presents. Whether you are running on AWS in us-east-1 or Azure in South Central US, we configure OneAgent for optimal coverage with minimal overhead.
We go beyond basic deployment to implement advanced Dynatrace capabilities: custom service detection for proprietary frameworks, synthetic monitoring for critical user journeys, session replay for debugging user issues, and log analytics integration for unified troubleshooting. Our implementations connect Dynatrace to your CI/CD pipelines through quality gates, enabling automated release validation that catches performance regressions before they reach production.
For enterprise clients, we architect multi-environment Dynatrace deployments with proper tenant structures, management zones for access control, and configuration as code using Monaco (Monitoring as Code). This approach ensures consistency across development, staging, and production while enabling teams to manage their own monitoring configurations within governed boundaries. We also implement auto-remediation workflows that use Davis AI insights to trigger automated healing actions through Ansible, ServiceNow, or custom webhooks.
Dynatrace Capabilities
Full-Stack Observability
One platform for infrastructure, applications, and user experience. Dynatrace OneAgent automatically discovers and monitors your entire stack.
Kubernetes Monitoring
Deep visibility into Kubernetes clusters, workloads, and microservices. Automatic discovery and dependency mapping without manual configuration.
Davis AI Engine
AI-powered root cause analysis that cuts through alert noise. Davis automatically identifies problems and pinpoints exact root causes in seconds.
Cloud Automation
Integrate Dynatrace into your CI/CD pipelines for quality gates, automated remediation, and release validation.
Frequently asked questions
Full-Stack Observability with Dynatrace and THNKBIG
Dynatrace delivers AI-powered observability that reduces the operational burden of monitoring complex Kubernetes environments. Unlike traditional monitoring tools that require manual instrumentation and alert configuration, Dynatrace's OneAgent automatically discovers and instruments every process, container, pod, and service in your Kubernetes environment. THNKBIG implements Dynatrace for enterprises seeking observability that provides not just metrics and logs, but genuine operational intelligence — correlating anomalies across your entire technology stack and identifying root causes with Davis, Dynatrace's AI engine. For platform teams managing large Kubernetes environments, Dynatrace transforms observability from a reactive tool into a proactive operational capability.
THNKBIG's Dynatrace implementation methodology covers the full observability spectrum: infrastructure monitoring for cluster nodes and resource utilization, application performance monitoring (APM) for distributed transaction tracing, log management for centralized analysis, and synthetic monitoring for proactive availability verification. We configure Dynatrace Kubernetes monitoring to capture cluster-level health metrics, namespace resource consumption, and pod-level performance data — providing platform engineers with the visibility needed to optimize cluster resource utilization and identify applications that are consuming disproportionate resources. Custom dashboards built for your team's specific operational needs deliver actionable insights without requiring deep Dynatrace expertise to interpret.
Service Level Objectives (SLOs) and Service Level Indicators (SLIs) form the foundation of data-driven reliability engineering, and Dynatrace provides comprehensive SLO management capabilities. THNKBIG helps organizations define meaningful SLOs for their Kubernetes-based services, configure Dynatrace to measure and track SLI performance against these objectives, and build error budget burn rate alerts that notify teams before SLOs are breached. Combined with Dynatrace's release validation capabilities for automated quality gates in CI/CD pipelines, THNKBIG delivers an observability program that drives measurable improvements in application reliability and development velocity.
Ready to make AI operational?
Whether you're planning GPU infrastructure, stabilizing Kubernetes, or moving AI workloads into production — we'll assess where you are and what it takes to get there.
US-based team · All US citizens · Continental United States only