Cloud-Native Observability: The Many-Faceted Benefits of Structured and Unified Logging—A Multi-Case Study

Author:

Kratzke NaneORCID

Abstract

Background: Cloud-native software systems often have a much more decentralized structure and many independently deployable and (horizontally) scalable components, making it more complicated to create a shared and consolidated picture of the overall decentralized system state. Today, observability is often understood as a triad of collecting and processing metrics, distributed tracing data, and logging. The result is often a complex observability system composed of three stovepipes whose data are difficult to correlate. Objective: This study analyzes whether these three historically emerged observability stovepipes of logs, metrics and distributed traces could be handled in a more integrated way and with a more straightforward instrumentation approach. Method: This study applied an action research methodology used mainly in industry–academia collaboration and common in software engineering. The research design utilized iterative action research cycles, including one long-term use case. Results: This study presents a unified logging library for Python and a unified logging architecture that uses the structured logging approach. The evaluation shows that several thousand events per minute are easily processable. Conclusions: The results indicate that a unification of the current observability triad is possible without the necessity to develop utterly new toolchains.

Publisher

MDPI AG

Subject

Computer Networks and Communications

Reference77 articles.

1. On the general theory of control systems;IFAC Proc. Vol.,1960

2. Mathematical Description of Linear Dynamical Systems;J. Soc. Ind. Appl. Math. Ser. A Control,1963

3. Newman, S. (2015). Building Microservices, O’Reilly Media, Inc.. [1st ed.].

4. Kim, G., Humble, J., Debois, P., Willis, J., and Forsgren, N. (2016). The DevOps Handbook: How to Create World-Class Agility, Reliability, & Security in Technology Organizations, IT Revolution.

5. Davis, C. (2019). Cloud Native Patterns: Designing Change-Tolerant Software, Simon and Schuster.

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