
Master automated deployment strategies using Argo Rollouts and observability metrics to prevent blind releases, identify performance issues early, and make data-driven deployment decisions.

Discover how monday.com leverages OpenTelemetry tracing for end-to-end testing, improving feedback cycles by 50% and reducing test creation time by 90% while ensuring comprehensive system observability.

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 leverage OpenTelemetry to monitor, optimize, and maintain healthy CI/CD pipelines for efficient cloud-native software delivery on Kubernetes with GitLab.

Discover practical strategies and real-world insights for implementing OpenTelemetry in complex enterprise environments through Heroku's journey, including adoption challenges, technical guidance, and success factors.

Discover how eBPF-based continuous profiling enables deep system visibility and performance optimization through OpenTelemetry, from kernel to userspace, without instrumentation overhead.

Discover how machine learning and cognitive approaches revolutionize distributed tracing, enabling dynamic sampling, enhanced API monitoring, and improved system reliability through automated trace collection and analysis.

Master OpenTelemetry Collector configuration through hands-on demonstrations and real-world examples, covering essential setup techniques, best practices, and common challenges for both beginners and experts.

Discover proven strategies for seamless database migrations and architectural transitions using CNCF standards, featuring real-world examples of zero-downtime implementations and risk mitigation techniques.

Discover how to leverage live traffic inspection for automatic authorization in Envoy, using CNCF Pixie to generate OPA policies and implement effective service-to-service access controls.

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.

Learn from real-world mistakes and pitfalls in observability platform migrations, covering evaluation criteria, vendor pricing interpretation, and developer enablement challenges to ensure smoother transitions.

Discover how continuous profiling and distributed tracing work together in OpenTelemetry to enhance Kubernetes observability, from kernel-level insights to code-level causality and resource optimization.

Discover how to implement OpenTelemetry for asynchronous messaging systems, focusing on context propagation, trace correlation, and effective monitoring of message flows across Kafka, RabbitMQ, and other queuing systems.

Discover how eBay implemented distributed tracing across thousands of microservices using OpenTelemetry, exploring challenges, solutions, and strategies for effective instrumentation and context propagation.

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

Discover how to optimize software delivery lifecycles through cloud-native observability, tracking value flows, identifying bottlenecks, and implementing continuous improvements across development tools and processes.

Master profiling fundamentals, flamegraph interpretation, and open-source tools to enhance application performance monitoring and observability in cloud-native environments.

Discover how to optimize OpenTelemetry's processing capabilities for effective data transformation, filtering, sampling, and routing in distributed systems while managing costs and overhead.

Discover how to effectively manage multi-tenant logging in Kubernetes using the Telemetry Controller, enabling intelligent routing and tenant isolation for improved log management and filtering.

Discover strategic approaches to improve system observability, from crafting meaningful alerts and custom instrumentation to implementing effective SLOs for better system monitoring and reduced alert fatigue.