all systems nominal · 4 servers online

See everything.Miss nothing.

Self-hosted observability for teams who own their infrastructure. Metrics, traces, and logs — one dashboard, no vendor dependency.

Deploy in one command

$curl -sSL https://app.e2epulse.io/install.sh | bash
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Python 3.8+·Ubuntu · CentOS · RHEL · Amazon Linux·NVIDIA GPU support
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◆GPU monitoring◆< 10ms ingest latency◆Self-hosted · your data◆Distributed tracing◆100% data ownership◆Elasticsearch log search◆TimescaleDB time-series◆One-command deploy◆Multi-tenant orgs◆Service dependency maps◆Auto-discovers services◆No vendor lock-in◆GPU monitoring◆< 10ms ingest latency◆Self-hosted · your data◆Distributed tracing◆100% data ownership◆Elasticsearch log search◆TimescaleDB time-series◆One-command deploy◆Multi-tenant orgs◆Service dependency maps◆Auto-discovers services◆No vendor lock-in

Why it matters

What 43 seconds
looks like.

Incident #4471
payment-service degradation
02:47:21 UTC — auto-detected
RESOLVED
MTTR
43s
mean time to resolve
Downtime
< 1m
total service impact
Customers
0
affected

Without observability, the industry median MTTR for this class of incident is 45 minutes. E2E Pulse cut it to 43 seconds.

Timeline
02:47:21
CPU spike to 94% on payment-service
02:47:21
Alert fired → PagerDuty webhook triggered
02:47:23
Dashboard opened · 4 services in view
02:47:28
Trace latency 847ms (p99 baseline: 23ms)
02:47:31
Root cause: heap leak · payment-service v2.3.1
02:47:55
Rollback to v2.3.0 initiated
02:48:04
All services nominal ● MTTR: 43 seconds

Observability stack

Three layers.
One dashboard.

▦

Infrastructure Metrics

CPU, memory, disk, network, GPU — collected every 10 seconds. Per-core heatmaps, process tables, system info panel.

cpu_total23%
mem_used61%
gpu_util
38%
⟫

APM & Distributed Traces

Service RED metrics, waterfall trace views, dependency maps. Auto-instrumented from web server logs — zero code changes.

trace #8f2atotal: 45ms
api-gateway
45ms
auth-service
11ms
product-svc
28ms
db · postgres
17ms
≡

Log Search

Full-text search across all servers. Level filters, time histogram, live tail from any log file. Powered by Elasticsearch.

⌕error paymentlast 1h
10:23:41INFOGET /api/orders 200 · 12ms
10:23:42WARNslow query detected
10:23:43ERRORtimeout: payment-service
10:23:44INFOPOST /api/orders 201 · 23ms

Deploy

Three steps.
That's it.

01
Step 01

Run the installer

One curl command detects your OS, installs the agent, creates a systemd service, and connects to your backend.

$ curl -sSL .../install.sh | bash
02
Step 02

Metrics start flowing

CPU, memory, disk, network, GPU, and process data begins shipping within 10 seconds. No restart needed.

$ ● connected · shipping metrics
03
Step 03

Open your dashboard

Every server appears automatically. Drill down to traces, search logs, set alerts — all from one place.

$ https://your-host/dashboard

Your infrastructure.
Your rules.

⬡

No vendor lock-in

Self-hosted means you own the entire stack. No subscription ratchet, no data exfiltration, no pricing surprises as you scale.

◈

No per-seat pricing

Deploy once. Add as many servers, users, and organisations as you need. Your cost stays flat as your infrastructure grows.

◉

No agent telemetry

The agent collects your server metrics — and only your server metrics. No usage analytics, no phone-home, no fingerprinting.

ready to deploy

Start monitoring
in 5 minutes.

Register, grab your API key, run the installer.
First metric arrives in under 10 seconds.

Quick start
1Create a free account →
2Copy your API key from Settings
3curl -sSL .../install.sh | bash -s -- \
--api-key $YOUR_KEY --server-id my-vm
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