Mezmo Edge is a telemetry data processing solution for observability pipelines designed to collect and manage high-volume logs, metrics, and traces within edge environments. It intercepts data at the source to perform local processing, which includes filtering, aggregating, deduplicating, and converting events into metrics. This processing structures observability data locally, which can prevent sensitive information from leaving the host environment and reduce data egress fees. The processed data is then routed to local storage or external observability platforms.
The system is deployed using a hybrid model. The data processing pipeline is installed on local container management systems, while pipeline configuration and monitoring are handled through a cloud-based central control plane. This architecture enables centralized management of distributed edge pipelines without requiring raw telemetry data to pass through a centralized SaaS ingestion layer for processing.
