AnalyseBackends

AnalyseBackends is a modular analysis framework designed to observe and evaluate backend systems across databases, caches, message brokers, and API services. It focuses on performance, reliability, scalability, and resource usage, enabling operators to compare backends under realistic workloads and across deployment configurations.

The system consists of a core engine, a set of adapters for different backends, a suite of analyzers, and a report generator. The core orchestrates data collection and normalization, while adapters translate metrics from target technologies into a common schema. Analyzers perform statistically oriented assessments, such as latency distributions, saturation points, error rates, and queueing dynamics. A plugin mechanism allows new adapters and analyses to be added without modifying the core.

Data sources include telemetry from application traces (for example, OpenTelemetry), database and cache metrics, system resource counters, log entries, and synthetic or real workloads. AnalyseBackends supports auto-discovery of instrumentation endpoints and user-defined queries to fetch metrics.

Outputs comprise dashboards, summary reports, and machine-readable artifacts (JSON, CSV). Analysts can generate capacity plans, anomaly alerts, and comparative reports that highlight bottlenecks, backends that degrade under load, and cost implications of different configurations.

Typical workflow starts with configuring backends and workloads, continues with automated data collection, normalization, and analysis, and ends with the generation of reports and integration with alerting or incident tools. It is designed to plug into existing monitoring stacks and CI pipelines, allowing reproducible analyses across environments.

Limitations include reliance on representative workload data, potential gaps in telemetry, and the need for consistent instrumentation across backends. While useful for cross-backend comparison, it does not replace in-depth profiling of individual systems.