Live Observability

Zero-Overhead
Microservice
Observability.

FleetOps is a light-speed telemetry platform designed for SREs and DevOps teams. Monitor real-time system performance, debug live log streams, and resolve downstream bottlenecks instantly with absolutely zero code instrumentation overhead.

$curl -sSL https://get.fleetops.sh | sh

Lightweight Linux binary. Under 15MB. CPU footprint < 0.2%.

payment-processor-v2ACTIVE REPLICAS: 3/3
Request Rate
1420 /s
P99 Latency
124 ms
Error Rate
0.020%
HEALTHY RANGE
CPU Load
42.1%
LIVE STREAM: REPLICAS STDOUTBUFFER FILTER: NONE
14:20:01.402[INF][payment-processor]GET /charge/v2/invoice_81a7 - 200 OK (45ms)
14:20:02.115[WRN][payment-processor]Database pool connection peak reached (88/100 connections)
14:20:03.904[INF][payment-processor]POST /webhooks/stripe - 201 Created (112ms)
14:20:04.221[ERR][payment-processor]Failed to resolve downstream latency for payload metadata
14:20:05.003[INF][payment-processor]Flushing trace buffer - 12 spans committed to collector
db-primary-postgres8ms
Connected
auth-service-router12ms
Connected
notification-queue140ms
Latency Alert
Core Mechanics

Designed to eliminate the guess-work.

Other observability dashboards demand hours of manual code injection and trace instrumentation. FleetOps connects at the runtime level to collect state data automatically.

Zero-Code Auto-Instrumentation

Our kernel-level agent intercepts network telemetry and application runtime APIs, constructing accurate trace routes without single-line modifications of your code base.

Kernel space monitoringeBPF Driven

Trace-to-Log Correlation

Instantly pinpoint the exact trace span responsible for any individual console warning or database error. Jump from application log straight into trace timelines.

1:1 Event MappingElastic Schema

Downstream Topology Mapping

FleetOps automatically constructs real-time operational dependency maps, illustrating connection saturation and highlighting microservice cascades.

Topology engine v3Auto-refreshing
Advanced Network Inspection

Trace execution paths down to the hardware level.

By tapping directly into host Linux network interface buffers, FleetOps maps service latency profiles without introducing CPU context switching costs.

  • Real-time kernel buffer ingestion
  • Distributed tracing across AWS VPC / GCP Subnets
  • Strict zero-leak security profile
Topology visualization blueprint
Trace ID
tr_82a9d102fca9b
Span Latency: 4.2ms
Database Query Profile
SELECT * FROM transactions WHERE user_id = ?
Status: 200 OK (0.8ms)
Built for Hyper-Scale Infrastructure

Battle-Tested Telemetry.

Engineered specifically for microservice arrays running on Kubernetes, bare-metal server configurations, and serverless clusters.

Traces Processed
340M+

Daily telemetry spans processed across customer nodes.

CPU Overhead
< 0.2%

Unnoticeable footprint on CPU cycles and container resources.

Ingestion Pipeline
1.2ms

Average delay between node event and browser dashboard paint.

Global SLA
99.999%

High availability clustering guarantee for telemetry storage.

Platform Integration & Support Matrix
Orchestrators
Kubernetes (+), Amazon ECS (Fargate & EC2), HashiCorp Nomad, Docker Swarm
Runtimes
Go (1.18+), Node.js (v14+), Rust (1.60+), Python (3.9+), JVM (Java 11+)
Export Formats
OpenTelemetry standard (OTLP), Prometheus metrics format, StatsD, JSON Stream
Security Certs
SOC2 Type II compliant, HIPAA certified storage tier, GDPR automated data scrubbing
Get Started Instantly

Deploy observability
in under two minutes.

Zero configuration files, zero code changes. Run our agent locally to preview telemetry data on your terminal, or connect to our hosted cloud for infinite history.

No credit card required. Free tier includes 3 microservice nodes and 7-day log retention.