Application Monitoring
Application monitoring involves the continuous observation and analysis of software applications to ensure they perform optimally, identify issues, and provide insights into their operation. This process includes tracking metrics such as response times, error rates, resource utilization (CPU, memory, and disk), and transaction performance. Application monitoring tools collect and analyze data to detect anomalies, provide alerts for potential problems, and offer detailed insights into application behavior and performance. By monitoring applications, organizations can proactively address issues, optimize performance, and improve user experience, ultimately ensuring reliability and efficiency in their software systems.
Visit the following resources to learn more:
Free Resources
- articleApplying Basic vs. Advanced Monitoring Techniques
- articleWhy Legacy Apps Need Your Monitoring Love, Too
- videoApplication Monitoring - 4 Golden Signals
- feedExplore top posts about Monitoring
Jaeger
Jaeger is an open-source, end-to-end distributed tracing system developed by Uber Technologies. It’s designed to monitor and troubleshoot microservices-based distributed systems. Jaeger helps to track requests as they flow through complex distributed systems, identifying performance bottlenecks and understanding system behavior. It supports OpenTracing standards, allowing for vendor-neutral instrumentation of applications. Jaeger features include distributed context propagation, dependency analysis, and root cause analysis. It offers a web UI for visualizing traces and a flexible architecture supporting various storage backends. Jaeger is particularly useful in cloud-native environments, helping developers and operators understand latency issues, optimize performance, and debug problems in microservices architectures.
Visit the following resources to learn more:
Free Resources
New Relic
New Relic is a cloud-based observability platform that provides full-stack visibility into software applications and infrastructure. It offers real-time performance monitoring, analytics, and alerting across various environments, including web, mobile, and cloud applications. New Relic’s suite includes tools for application performance monitoring (APM), infrastructure monitoring, log management, and digital customer experience tracking. It uses distributed tracing and AI-powered analytics to help developers and operations teams identify and resolve issues quickly. New Relic’s platform supports a wide range of programming languages and integrates with many popular development and deployment tools, making it a comprehensive solution for modern software observability and performance optimization in DevOps environments. Visit the following resources to learn more:
Free Resources
Datadog
Datadog is a monitoring and analytics platform for large-scale applications. It encompasses infrastructure monitoring, application performance monitoring, log management, and user-experience monitoring. Datadog aggregates data across your entire stack with 400+ integrations for troubleshooting, alerting, and graphing.
Visit the following resources to learn more:
Free Resources
Prometheus
Prometheus is a free software application used for event monitoring and alerting. It records real-time metrics in a time series database built using a HTTP pull model, with flexible queries and real-time alerting.
Visit the following resources to learn more:
Free Resources
- officialPrometheus Website
- officialOfficial Documentation
- officialGetting Started with Prometheus
- feedExplore top posts about Prometheus
OpenTelemetry
OpenTelemetry is an open-source observability framework for cloud-native software, providing a standardized way to collect and export telemetry data such as metrics, logs, and traces. It aims to make observability a built-in feature of cloud-native applications by offering a vendor-neutral, unified set of APIs, libraries, agents, and instrumentation. OpenTelemetry simplifies the implementation of observability across different languages and platforms, enabling developers to instrument their code once and send data to multiple backends. It supports automatic instrumentation for many popular frameworks and libraries, reducing the effort required to add observability to applications. By providing a consistent approach to data collection and export, OpenTelemetry facilitates better interoperability between observability tools and platforms in modern, distributed software environments.
Visit the following resources to learn more:
Free Resources
- officialOpenTelemetry Website
- officialOfficial Documentation
- videoWhat is OpenTelemetry?
- videoOpenTelemetry Course - Understand Software Performance
Flashcards
- application performance monitoring:::APM