Observability at the scale of modern engineering.
At LogFlow, we believe developers shouldn't have to compromise between expensive, bloat-ridden legacy platforms and low-feature, primitive tools. We build high-throughput, developer-first observability tools.
OUR TECHNICAL FRAMEWORK
Built for Extreme Ingestion Volume
Spring Boot Pipelines
Our backend is crafted on Spring Boot v3, leveraging high-performance asynchronous networking, thread pools, and reactive request handlers for raw ingestion throughput.
RabbitMQ Queues
To insulate our databases from peak traffic, logs are buffered in RabbitMQ clusters. This guarantees smooth queue consumer processing even during massive system spikes.
PostgreSQL Partitioning
Log storage utilizes horizontally partitioned PostgreSQL tables. Time-series indexing ensures instant historical queries across billions of records.
Redis Aggregators
Real-time telemetry counters, request rates, active logs metrics, and sliding anomaly windows are managed in-memory with Redis cluster configurations.
Absolute Trust
Logs contain sensitive credentials and customer flows. LogFlow encrypts logs in transit and at rest, and provides granular scoping of API writing access keys.
Developer-First UX
No heavy UI clicks. We focus on fast console queries, simple SDK integration hooks, clear logs mapping formats, and concise CLI integration paths.
Scalable Boundaries
Adding microservices, changing queues, or routing new server processes must not break existing metrics logs. LogFlow adapts dynamically to your growth curves.