
Deploy a secure GoLang app with Kubernetes, ArgoCD, Prometheus & Grafana. Learn modern DevOps practices for automated, secure, and scalable deployment pipelines using various tools and technologies.

Explore observability standards for distributed systems: OpenMetrics, OpenTracing, and OpenTelemetry. Learn to instrument systems for logs, metrics, and traces, with a focus on C# and .NET Core examples.

Implement monitoring, logging, and security in DevOps with hands-on exercises using Prometheus, Grafana, and CI/CD pipeline security measures.

Optimize Prometheus on Kubernetes: Implement best practices for effective alerting, reduce noise, and leverage key components to detect critical issues in large-scale environments.

Discover how Prometheus Remote Write 2.0 enhances metric storage capabilities while reducing egress costs by up to 60%, featuring improved functionality and backward compatibility for cloud-native monitoring systems.

Discover how Intuit achieves zero-incident deployments through AI-driven progressive delivery, using ML models and Prometheus monitoring to automatically detect and prevent deployment-related issues.

Discover how Cortex enables scalable, multi-tenant Prometheus monitoring with long-term storage capabilities, exploring its architecture, features, and production implementation strategies.

Discover how to build a unified CI/CD pipeline using cloud-native tools like Argo Rollouts and Backstage, improving development efficiency and reducing operational workload by 40% through streamlined workflows.

Master Kubernetes Horizontal Pod Autoscaler (HPA) configuration using custom metrics beyond CPU and memory. Learn to implement dynamic scaling based on business-specific indicators like queue depth and throughput.

Master OpenTelemetry implementation with hands-on exercises in Java and Python applications, covering instrumentation, data collection, and analysis using Jaeger and Prometheus for enhanced observability.

Discover how to intelligently manage observability data volume in edge cloud environments using the Observability Volume Manager framework for optimized monitoring and cost control.

Learn to build Kubernetes operators using KubeBuilder, integrate with Prometheus for monitoring, and implement custom metrics for enhanced observability of your containerized applications.

Entdecke, wie die Integration von Netbox und Prometheus automatisiertes Monitoring ermöglicht und Dokumentation von einer lästigen Pflicht zu einem wertvollen Asset verwandelt.

Discover how to optimize Kubernetes service performance through effective metrics collection, analysis, and bottleneck identification using tools like Prometheus, Grafana, and kube-burner for enhanced user experience.

Dive into advanced strategies for managing large-scale GPU clusters in Kubernetes, focusing on monitoring, health detection, and solving complex failure scenarios in LLM training environments.

Master real-time anomaly detection techniques for Kubernetes clusters using statistical and ML algorithms to reduce MTTR, improve monitoring, and maintain optimal application performance.

Discover how to build scalable data pipelines with Fluent Bit for efficient telemetry data collection, processing, and integration with Prometheus and OpenTelemetry formats.