Observability with Prometheus & Grafana
Production-grade observability stack featuring Prometheus metrics, Grafana dashboarding, PromQL query language, alerting rules, and AI-powered anomaly detection for cloud-native applications.
Looking for anomaly detection workflows? These agent skills help developers automate setup, coding, and delivery tasks.
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7 skills found
Production-grade observability stack featuring Prometheus metrics, Grafana dashboarding, PromQL query language, alerting rules, and AI-powered anomaly detection for cloud-native applications.
AI performance marketing agent for Google, Meta, LinkedIn, and TikTok ads. Automate keyword research, budget management, ROAS tracking, and cross-platform reporting via natural language.
Systematic cloud cost optimization for AWS, Azure, GCP, and OCI through resource rightsizing, automated governance, pricing model analysis, and architectural best practices.
Analyze GA4 and GSC performance data with automated benchmarks, status indicators, and actionable content optimization insights.
Train and manage neural networks in distributed E2B sandboxes using the Flow Nexus platform, supporting custom architectures like Transformers, LSTMs, and GANs.
Advanced QE reporting, quality dashboards, and predictive analytics for test metrics, code coverage, and deployment readiness to drive data-informed quality decisions.
Implement production-grade observability for Istio and Linkerd service meshes, including distributed tracing, metric dashboards, and golden signal monitoring.