Implementing the three pillars of observability
Now, we will implement the three pillars of observability in our online auction application. Let’s start by applying the first pillar of observability: logs.
We will utilize the famous Elasticsearch, Logstash, and Kibana (ELK) stack to manage our application’s logs.
Managing logs with ELK
ELK is a robust open source stack widely used for centralized logging, log analysis, and data visualization. Each component plays a distinct role, so let’s explore them:
- Elasticsearch: This is a highly scalable, distributed search and analytics engine designed to store, index, and query vast amounts of data in near-real time. It is built on top of Apache Lucene, offers advanced full-text search capabilities, and supports complex queries and aggregations. Its primary purpose is to provide a fast, efficient way to search, analyze, and visualize large datasets, enabling businesses to extract actionable insights. It...
