Logging, Monitoring, and Observability

In this section

• Logging Best Practices: Mastering Structured Logging in Kotlin Applications
  Explore comprehensive logging best practices in Kotlin, focusing on structured logging with Logback and Timber for enhanced application observability.
• Monitoring Tools: Prometheus, Grafana, and ELK Stack for Kotlin Applications
  Explore how to use Prometheus, Grafana, and ELK Stack for effective monitoring and observability in Kotlin applications. Learn about application performance monitoring, data visualization, and log management.
• Tracing and Diagnostics: Implementing OpenTracing and OpenTelemetry in Kotlin
  Explore the intricacies of tracing and diagnostics in Kotlin applications, focusing on OpenTracing and OpenTelemetry for distributed systems.
• Kotlin Performance Analysis: Using Profilers and Analyzers
  Explore comprehensive techniques for analyzing performance in Kotlin applications using profilers and analyzers. Identify bottlenecks and optimize your code for efficiency.
• Metrics and Health Checks: Enhancing Kotlin Applications
  Explore the importance of metrics and health checks in Kotlin applications, learn how to implement custom metrics, and understand their role in monitoring and observability.
• Exception and Crash Handling in Kotlin: Strategies and Tools for Robust Applications
  Explore comprehensive strategies and tools for exception and crash handling in Kotlin applications. Learn about best practices, error reporting, and tools like Sentry to ensure robust and resilient software.