Measurable and intelligent solutions for complex IT and data systems.
Engineering consultancy metric.engineer delivers measurable and intelligent solutions for complex IT and data systems. Our focus: MLOps, AIOps, Observability and DevOps — from strategic consulting to hands-on implementation.
Scalable and efficient operations for data-driven systems through smart automation.
Comprehensive system monitoring of data, ML models and IT systems.
Clear and meaningful metrics for managing service quality, projects and processes.
Seamless collaboration between development and operations through intelligent automation.
Optimization of operations for cloud environments (AWS, Azure, Kubernetes, OpenShift).
Agile and effective processes for incident, problem and event management.
Smart planning, development, and oversight of data and IT projects.
Turning research and concepts into practical execution and stable operations.
Capturing, measuring, analyzing, and evaluating complex systems.
Bringing in fresh perspectives and proven solution approaches.
IBM Cloud, AWS, Microsoft Azure, Kubernetes, Red Hat OpenShift
IBM watsonx, OpenAI, Anthropic Claude, TensorFlow
Instana, Splunk, Dynatrace, Prometheus, Grafana, OpenTelemetry
Docker, GitLab, GitOps, CI/CD Pipelines
SQL, OpenTelemetry, various ETL and data platforms
PRINCE2, Scrum (PSM I, PSPO I), ITIL Foundation
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