How to Do Full-Text Search Across All Application Traffic with Speedscale

Speedscale’s full-text traffic search is presented as a complement to traditional DevOps observability tools, addressing the difficulty of locating specific data values across application traffic when traces, logs, and annotations were not planned in advance. It records Layer 7 network traffic from local or remote environments, retains roughly seven days of data, and converts protocols such as HTTP, gRPC, Kafka, PostgreSQL, MySQL, MongoDB, and RabbitMQ into searchable content, including decoded JWT claims and other encoded payloads. Users can save traffic snapshots, browse requests and responses, identify data tokens such as email addresses or other PII, and search potentially gigabytes of traffic to identify every occurrence and its JSON-path location. The tool is intended to support incident investigation and forensic debugging by showing how particular values travel across services and exposing contextual errors or downstream failures without requiring users to decode binary formats or rely solely on telemetry summaries.

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