Observe every request.
Detect failures before users do.
High-throughput log aggregation, trace correlations, and system metric streams. Built on a high-availability infrastructure with Spring Boot pipelines.
TRUSTED BY HIGH-SCALE INFRASTRUCTURE TEAMS
ENGINE CAPABILITIES
Observability built for microservice systems.
Eliminate ingestion latency, correlate transaction flow, and secure sensitive secrets with out-of-the-box configurations.
Centralized Request Logging
Stream structured application logs from multiple clusters, nodes, and processes into a single unified telemetry indexing view.
Real-Time Observability
Observe metrics live with sub-second stream ingestion, sub-millisecond querying, and custom log retention structures.
Threshold Alerting Rules
Define alerts on error spikes, slow latency distributions, or disk usage bounds to fire Slack and webhook notifications.
API Gateway Instrumentation
Plug direct middleware handlers into ingress controllers to capture cross-origin trace IDs and request lifecycles.
Service-Level Monitoring
Aggregate service health scores, query limits, database roundtrips, and error distributions down to endpoints.
Request Trace Tracking
Follow request headers from initial UI ingress down to internal queues, microservices, database transactions, and exits.
Async Ingestion Pipelines
Decoupled memory buffers and stream workers handle peak volumes of 100,000+ RPS without blocking request threads.
Lightweight Node & Spring SDKs
Integrate natively with 5 lines of code, automatic error catching, internal retry loops, and zero external dependencies.
THE INGESTION PIPELINE
Visual Architecture Flow
LogFlow traces and queues every log line asynchronously across distributed storage buffers without impacting your core engine.
Node SDK
Zero-lag stream capture
Ingestion API
Secure TLS edge gateways
RabbitMQ
High-throughput buffering
Spring Boot Consumers
Processing workers
PostgreSQL
Indexed log storage
Redis metrics
Time-series aggregation
Email / Webhook Alerts
Real-time alerting
Dashboard Console
Beautiful observability
Integrate in under 10 minutes.
Zero configuration required. Load the client, reference your pipeline key, and capture outgoing HTTP calls or database execution latencies automatically.
- Automatic circuit breaker integration
- Buffered asynchronous bulk ingestions
- Integrated request context tracer hooks
// Initialize client with ingestion endpoint
const logger = new LogFlow({
apiKey: 'lf_live_5af28c9b109e23',
environment: 'production',
serviceName: 'api-gateway'
});
// Auto-wrap ingress controllers
app.use(logger.expressMiddleware());
SCALABILITY
Engineered for high-volume logs.
Our underlying platform is designed from the ground up to process massive concurrent telemetry payloads with maximum efficiency.
Spring Boot
Robust multithreaded ingress pipelines handling massive network connections.
RabbitMQ
High-throughput asynchronous message queue safeguarding logs from system spikes.
PostgreSQL
Partitioned database tables storing log payloads with customized indexing partitions.
Redis Cache
High-performance temporary cache tracking time-series statistics and active trace metrics.
REVIEWS
Endorsed by scale engineers.
“Integrated LogFlow in under 10 minutes. Threshold-based alerting caught critical payment failures before our customer support lines noticed.”
Sarah Jenkins
Lead Platform Engineer @ ScaleOps
“Exactly the lightweight, high-performance logging layer we needed. No heavy enterprise complexity, just fast queries and ultra-reliable alerts.”
Marcus Chen
CTO & Co-Founder @ NovaStack
“The SDK integration was incredibly simple. We plugged the API gateway instrumentation into our microservices and were streaming live logs immediately.”
David Ross
Senior DevOps Engineer @ ByteForge