THREE Pillars of OBSERVABILITY in DevOps! 🕵️♂️
Logs Metrics and traces | What is observability | Monitoring vs Observability | Observability for Beginners
Three pillars of observability includes logging, monitoring and tracing. In this video we will look at what are metrics in monitoring/observability and why are they important in devops
Then we understand what are logs and how are they useful for troubleshooting in devops
Lastly we look at traces as distributed tracing is a very common confusion people have these days.
Here is a quick overview of observability in Devops -
When monitoring an application, it's crucial to understand the three pillars of observability: metrics, logs, and traces. Each pillar plays a unique role in providing a complete view of your system's health and performance.
#metrics
Metrics are numerical data that provide real-time insights into the performance of your application. They can include:
System Metrics:These include CPU usage, memory consumption, disk I/O, and network traffic. These metrics help you monitor the resource usage and capacity of your infrastructure.
Application Metrics: Metrics like request rates, error rates, and response times give you a quick overview of how your application is performing from the user's perspective.
Custom Metrics: Specific to your application, these might track user interactions, database queries, or other unique performance indicators.
#logs
Logs are detailed, timestamped records of events that occur within your application and its environment. Different types of logs include:
Event Logs: These logs capture specific actions or events, such as user logins or database operations, helping you track user interactions and application behavior.
Error Logs: These logs record error messages, exceptions, and stack traces, which are crucial for identifying and diagnosing issues in real-time.
Audit Logs: These logs track changes to systems, configurations, or data, often used for security and compliance purposes.
Logs provide the "who, what, when, and where" of an issue, making them essential for in-depth analysis and root cause determination.
#traces
Traces help detect the flow of a request as it travels through various components and services of your application. Traces are especially useful in complex, distributed systems where it’s important to understand how components interact and where failures may occur.
Distributed Tracing: In microservices architectures, traces show how a request propagates through different services, helping you visualize the entire journey.
Latency Tracking: Traces highlight which parts of the system are causing delays, helping you pinpoint bottlenecks.
Error Propagation: If an error occurs, traces show where it originated and how it affected other parts of the system, helping you understand the impact of failures.
Together, metrics, logs, and traces give you a comprehensive view of your application's health, making it easier to detect, diagnose, and resolve issues effectively.
Also checkout:
Popular Monitoring Devops tools in 2024: • Popular DevOps Monitoring Tools in 2024
Here are some popular observability tools in the market, each with a brief description of how they help:
Metrics Tools:
Prometheus: An open-source monitoring tool that collects and stores metrics, ideal for monitoring containerized environments.
Datadog: A cloud-based monitoring and analytics platform that provides real-time metrics and dashboards for full-stack visibility.
Amazon CloudWatch: A monitoring service for AWS resources and applications, offering real-time metrics, logs, and alarms.
Logs Tools:
Elasticsearch, Logstash, Kibana (ELK Stack): A powerful log management solution that enables searching, analyzing, and visualizing log data.
Splunk: A comprehensive platform for searching, monitoring, and analyzing machine-generated data from various sources.
Fluentd: An open-source data collector that unifies the logging layer, allowing for the aggregation and analysis of logs from different sources.
Traces Tools:
Jaeger: An open-source, end-to-end distributed tracing tool that helps trace requests through complex microservices architectures.
Zipkin: Another open-source distributed tracing system that helps identify latency issues and trace failures across microservices.
New Relic: A full-stack observability platform that offers distributed tracing along with metrics, logs, and more to monitor applications end-to-end.
These tools collectively support the three pillars of observability, enabling effective monitoring, troubleshooting, and optimization of modern applications.
#monitoring #observability #devops
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