Open Source Observability
Open Source Observability
English | 2025 | ISBN: 9798341622135 | 56 Pages | EPUB | 4 MB
English | 2025 | ISBN: 9798341622135 | 56 Pages | EPUB | 4 MB
As modern applications grow in complexity, traditional observability solutions can be costly, rigid, and limiting. This report explores a new approach—disaggregated, modular observability stacks that offer flexibility, cost efficiency, and data autonomy. Authors Peter Corless and Neha Pawar provide engineering teams with a blueprint for designing tailored observability solutions using the best open source tools for data collection, storage, querying, and visualization.