Value worksheet

What would KloudMate actually save you?

Answer a few simple questions to find the ROI on your observability spend. Every number is editable, and the whole thing fits on a link you can send to your CFO.

What kind of business is this?

Roughly how much do you sell online in a year?

or type it ($)

How many engineers touch production?

or type it

How often does something break badly enough that customers notice?

What do you spend on monitoring today, per year?

or type it ($/yr)

What are we monitoring? Pick as many as apply.

How many machines?

How busy is the backend?

or enter monthly volumesGBM metrics

The short version

You'd spend $57K less a year on monitoring than you do now.

That's before counting a single hour of downtime you avoid. Everything below is on top of it.

Scenario

Spend

What you pay for monitoring now, against what you'd pay us. Your finance team can check both against invoices.

Monitoring tools you pay for now

Servers running your own stack

$772

16,500 active series and 180 GB of logs a month need about 4.2 GB of memory. That's 1 × t3.large (2 vCPU, 8 GB) and 45 GB of disk at AWS list price, keeping days of data.

Your own time keeping it running

$60K

engineers on it, at ($120K) each a year.

KloudMate

-$4K

180 GB of logs and traces and 713 M metrics a month, on the $0.42 per GB and $0.32 per million metrics rate card. We confirm the exact price before you sign anything.

What you'd save

+$57K

Losses you avoid

Money you probably won't lose, which isn't the same as money in the bank.

Downtime you'd avoid each year

9.8 hrs

You lose about 30 hrs a year now: 12 incidents at hours each. The scenario above assumes % fewer incidents and each one % shorter to fix.

What those hours cost you

$31K

A full hour of downtime costs about $13K: $100M of sales spread over 8,760 hours, times because things break when you're busiest, less the % of orders that come back later. A typical incident hits only % of your customers, so a real outage hour costs closer to $3K, across the 9.8 hrs you'd avoid.

Slow but not down

$30K

Most incidents don't take checkout down, they just make it crawl, and that still costs sales. We count about 29.2 hrs of it a year, each worth 8% of a full outage hour.

Losses you'd avoid

$61K

Time you get back

Fewer tickets to handle and faster answers when something does break, so support needs fewer people.

Alerts your team sees now

36,000 a year

50 machines raise about alerts each a month. Busy systems raise more; big, well-tuned fleets fewer.

KloudMate AI/ML alert grouping

7,200 left

% fewer tickets: KloudMate merges duplicate alerts, and ones with the same cause, into one.

Hours not spent handling tickets

2,400 hrs

28,800 fewer alerts, at minutes each.

Hours not spent investigating

504 hrs

The 864 that still need a real look (% of what's left) take minutes by hand or with the AI assistant.

Support people needed

81% less

About 2 people carry this support load today, dropping to under one afterward. 3,576 hours a year of ticket and investigation work drops to 672. The rest of the team goes back to building.

An engineer costs

$66.67 an hour

That's ($120K) a year over 1,800 working hours.

What that time is worth

$194K

First year, after paying for KloudMate

$248K

cash in full, 75% of the rest

Pays for itself in

0.1 mo

our yearly fee ÷ what you save a month

Three-year net

$872K

cash plus the rest, at steady state

On the conservative scenario, the first year comes to $209K instead of $248K.

Assumptions

How much of the benefit lands in year one. Nothing improves on day one, so we don't count the full amount.%

What one engineer costs you a year, including benefits and overhead.($120K)

Hours one engineer works in a year.1,800 hrs

Blast radius and the IT-caused share are load-bearing. Without them the model assumes every incident takes down the whole business, and the number stops being defensible. Every figure in the lines above is editable, and your edits travel with the link.

These are estimates based on what you told us, not a quote. We'll give you a real price once we know how much data you send us.