Kieker is an open-source, peer-reviewed observability framework designed for continuous application performance monitoring (APM) and dynamic software analysis. Originating as a research project in 2006, it has evolved into a robust tool widely utilized in both software engineering research and production environments to monitor concurrent or distributed systems with minimal computational overhead.
The core framework operates via a split architecture consisting of two primary components: a monitoring part and an analysis part. 🛠️ Core Architecture and Workflow
Kieker monitors software behavior by tracking application execution paths step-by-step through an engineered data pipeline:
[ Application Code ] │ (Instrumented via AspectJ, JavaAgent, etc.) ▼ [ Monitoring Probes ] ──► [ Monitoring Records ] │ ▼ [ Analysis Pipeline ] ◄── [ Monitoring Readers / Writers ] │ (Pipe-and-Filter Architecture) ▼ [ Architecture Models & Visualizations ]
Data Collection (The Monitoring Part): Monitoring probes intercept application calls to capture real-time performance telemetry. This data is structured into lightweight “monitoring records” containing metrics such as execution duration, timestamps, and resource utilisation data.
Data Evaluation (The Analysis Part): The gathered records are dispatched via configurable writers to a reader interface. Kieker processes this data using a highly extensible pipe-and-filter network, allowing plugins to consume, parse, and evaluate telemetry concurrently. 📉 How Kieker Achieves “Low Overhead”
Standard application profiling tools often degrade performance, making them unsafe for production environments. Kieker specifically focuses on continuous production monitoring by utilizing specific, highly optimized software design choices: Kieker – SPEC Research Group
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