ChartlessOps
v1.3 just shipped · multi-region rollups →

See what’s running.Skip the dashboards that don’t help.

ChartlessOps replaces the wall of half-watched Grafana panels with a small set of signals that actually answer the question “is the system OK right now?”

Browse data sources
14-day free trial No credit card Wires up to Prometheus, Datadog, CloudWatch
🔒 app.chartlessops.com/acme
PV
signed in · Pieter
▸ Acme · production

All systems OK.

Last check 8s ago Refresh in 60s | Watched services: 8 SLO budget: 7 within, 1 burning
API Gatewayapi.acme.dev
ok
p99 latency 84 ms
SLO 99.95% · within budget
last incident 47d ago
Paymentspayments-svc
ok
error rate (1h) 0.01%
SLO 99.99% · within budget
last incident 92d ago
Auth Serviceauth-svc
ok
p50 latency 12 ms
SLO 99.99% · within budget
last incident 14d ago
User DB (primary)postgres-13
ok
p99 read 4 ms
SLO 99.99% · within budget
last incident 122d ago
Searchsearch-svc
ok
p95 query 142 ms
SLO 99.9% · within budget
last incident 21d ago
Email Queueworkers
degraded
backlog 2,418 msg
SLO 99.5% · burning fast
budget ETA 14h at current rate
Notificationspush + email
ok
delivery rate 99.98%
SLO 99.5% · within budget
last incident 12d ago
CDN (anycast)edge.acme.dev
ok
throughput 4.2 Gb/s
SLO 99.95% · within budget
nominal
ok
degraded
down
|
SLO budget: % of allowed downtime remaining this month
used by ops teams at
Pinion Labs /usr/bytes Roundkey harbour.io Trasselsudd stack/seven
Why this works

A single page beats a wall of dashboards.

There are three reasons dashboards stop being useful, and three things we do instead.

1.

Signals, not graphs.

Each service has one signal that actually answers “is this OK?”. Latency, error rate, queue depth — whatever’s right for the service. Not 12 charts of CPU.

2.

SLO budget, not p99 curves.

The signal you actually care about is “is our error budget burning?”. We show budget remaining, not the curve of how it got there.

3.

One page, no tabs.

The whole production stack on one URL. No clicking into per-team dashboards, no “Grafana folder 1 of 17”. If it’s not on the page, it’s not being watched.

The dashboard problem

The wall of half-watched charts.

Every team eventually builds a dashboard. Then 12 more. Then they stop opening them because nobody knows which one matters during an incident. The wall becomes wallpaper.

ChartlessOps replaces the wall with a list. One page, one row per service, one signal per row. When something is OK, it’s green. When it isn’t, you know which service and which signal in under three seconds.

// wallpaper

17 Grafana folders

p50, p90, p99, p99.9 curves of every endpoint

CPU graphs

Memory graphs

Disk-IO heatmaps

// signal

One service-list page

One signal per service

Status: ok / degraded / down

SLO budget remaining

Time since last incident

Grafana · production overview
p50p99p99.9
request latency · api-gateway
request latency · payments
request latency · auth
Data sources

Wires up to what you already run.

We don’t replace your metrics store. We pull from it and condense.

P
Prometheus
DD
Datadog
CW
CloudWatch
NR
New Relic
G
Grafana
HC
Honeycomb
OT
OpenTelemetry
SE
Sentry
PD
PagerDuty
SL
Slack
From a recent customer
We replaced 17 Grafana dashboards with one ChartlessOps page. Mean time to identify the broken service during incidents went from 8 minutes to under 30 seconds.
DW
Dirk Westerlund
Head of SRE · Trasselsudd (e-commerce, ~120 ppl)
Pricing · Starter $49 · Growth $199 · Enterprise custom

Priced per service, not per metric.

10 services for $49/mo. 50 for $199. Beyond that we’ll talk. No metering on data points; no per-host charges.

See pricing Data sources