log aggregation · observability · api analytics

Stream every log.
Catch every error first.

Logboard pulls logs from all your services into one live stream — with search, insights, alerts and API analytics built in. Point a platform at it and watch your telemetry show up in seconds.

error rate0.3%
today53,937 logs
$ logboard tail --all-services 412 logs/s
your whole stack, one screen

A dashboard built for the moment something breaks.

The numbers that matter up top, your hourly volume on the left, and the errors you actually need to read on the right.

Overview Support · 25/06/2026
53,937
Logs today
188
Errors today
12
Services
0.3%
Error rate · 24h

📊 Hourly volume

0:004:008:0012:0016:0020:00

⚠️ Recent errors

07:11:01ERRORNo files found: pod/NGO000380519
07:10:05ERRORNo files found: pod/CUQ000629303
07:08:20ERRORNo files found: pod/CUQ000639732
07:06:54ERRORNo files found: pod/NGO000375360
07:06:12ERRORNo files found: pod/1Z0429GDYW253
07:04:11ERRORNo files found: pod/1ZGX05920434
api analytics

Every request, measured.

Latency, status mix, and the endpoints dragging you down — so you can see exactly where requests slow before customers feel it.

API Analytics Support · 25/06/2026
2,324
Total requests
83.6ms
Avg response · max 7.41s
0.0%
Error rate · 0 of 2,324
114.9 MB
↑ 259.5 KB · ↓ 114.7 MB
7.41s
Slowest call

📊 Hourly request volume

2xx4xx5xx
0:004:008:0012:0016:0020:00

🟢 Status distribution

200xx1,951
300xx373

⏱️ Top 10 slowest endpoints

Avg (ms)P95 (ms)
POST /support/upload-awb-file
POST /support/transfer-order
POST /customer/update-kyc-status
POST /accounts/retail-price
POST /orders/cancel-order
GET /billing/list
GET /accounts/transaction
GET /orders/list
GET /orders/order-package-tracking
POST /accounts/refund-charges
0ms2000ms4000ms6000ms8000ms
one place for everything noisy

Everything you need to go from noise to signal.

Aggregation is table stakes. Logboard adds the tools you reach for at 3am — live tailing, fast search, alerting, and the access controls to let your whole team in safely.

Live Stream

Tail every service at once, filter by level or label, and freeze the scroll the instant something looks wrong. It's tail -f for your entire stack, with structured search on top.

→ regex, label, and full-text search · sub-second

Insights

Group, count and chart your logs into trends — error rates by service, slow endpoints, traffic spikes — without learning a new query language.

→ saved as dashboards

Alert Rules

Get paged on the conditions that matter — a spike in 5xx, a new error fingerprint, a queue backing up. Route to Slack, PagerDuty or a webhook.

→ noise-throttled, deduped

Health

One screen for whether things are okay — service status, error budgets, and ingest health, so you know before your users tell you.

→ status page included

Archive & Audit Log

Keep everything cold-stored and still searchable, and prove who queried what. Compliance-ready retention without the per-GB anxiety.

→ S3-compatible export

API Keys & Role Config

Scoped keys for each service and granular roles for each teammate. Give support read-only on one service, give SRE the keys to everything — and see every action in the audit trail.

→ SSO/SAML on Scale · per-service scoping · full RBAC
connect in three steps

Point a platform at Logboard. Watch it stream.

01

Drop in the agent

One install, any runtime. The agent auto-discovers your services and starts shipping structured logs — no per-app config.

02

Or send logs directly

Already have OpenTelemetry, syslog, or a JSON pipeline? Point it at our endpoint with an API key. SDKs for Node, Python, Go and Rust.

03

Search, alert, analyze

Lines show up live. Build a saved search, wire an alert, and share a dashboard — all from the same screen.

~/app · ship-logs.sh
# install the agent curl -sSL logboard.tech/install | sh # or send a line yourself curl -X POST https://in.logboard.tech \ -H "x-api-key: $LOGBOARD_KEY" \ -d '{"level":"error", "service":"support", "msg":"No files found: pod/NGO38"}' # → live in your stream in <1s ✓
service health

Know it's healthy before users do.

CPU, memory, heap and event-loop pressure on a live timeline — with thresholds that flag a metric before it turns into an incident.

Service Health Support · 25/06/2026
Support 1h6h24h7d
CPU2%
Memory35%
1343MB / 3795MB
Storage54%
Heap78%
61MB / 78MB
RSS159MB
Uptime18h 1m

CPU usage %

Memory / Heap %

Storage used %

RSS memory (MB)

your logs are already talking

Start listening today.

Spin up a project, point a service at it, and have your first log line on screen in under five minutes.