Cost Explorer

The Cost Explorer is the analytics workspace for your WiLine Edge Cloud (WEC) spending. Where the Billing Overview shows how much you owe, the Cost Explorer shows where your money goes and why — breaking the bill down by category, offering, and day.

Use it to:

• See compute, storage, and IP costs at a glance
• Track daily trends and drill into the resources behind any day
• Compare offerings and export records for reporting and budgeting

note

The dollar amounts, dates, and offering names on this page are illustrative examples from a sample account — they are not quoted prices. For current published rates by offering, see the WiLine Edge Cloud pricing page.

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Access the Cost Explorer

After logging in to the WiLine Edge Cloud:

1. Navigate to Management → Billing → Cost Explorer

When the page opens you will see a dashboard built from four stacked sections, each going one level deeper than the last:

1. Cost Summary — totals by category for the current period
2. Daily Cost Analysis — a daily spending chart with headline insights
3. Daily Breakdown — a row-per-day table you can drill into and export
4. Cost per Usage — cost distribution across every offering you ran

All figures reflect the current billing period unless you change the view.

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Cost Summary

The summary at the top of the page splits your current spend into its main categories, so you can immediately see what is driving the bill.

Figure 1: Cost summary showing current usage and billing totals by category.

Card	What it shows	Example
CPU Hours Cost	Total compute cost this period	$1,586.77
Storage Cost	Total storage cost this period	$345.61
IP Addresses Cost	Public IP addresses across all zones	$37.88
Current Bill	Running total for the current billing period	$1,973.47

The first three cards are the components of your spend; the Current Bill card is their sum for the period. In this example, compute ($1,586.77) accounts for the large majority of the $1,973.47 bill — a strong signal that any optimization effort should start with compute.

Use this summary to quickly identify which resource category to investigate in the sections below.

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Daily Cost Analysis

This section plots your daily spending over time as a bar chart, with a set of headline insight cards beside it.

Figure 2: Daily cost analysis chart with per-day spending and headline insights.

With the chart you can:

• Read the shape of your spend across the period — flat, climbing, or spiky
• Hover over a bar to see that day's total
• Click a bar to drill into a resource-level breakdown for that specific day
• Spot spikes that warrant investigation

tip

Click any bar to drill down into the detailed resource usage that produced that day's cost.

Key Insights

The insight cards summarize the period at a glance:

Insight	Meaning	Example
Avg Daily Cost	Average spend per day, with the trend vs. the previous period	$79.01 (▲ 5.4%)
Highest Day	Most expensive single day	$99.99 on May 31
Top Resource	Resource category with the highest cost	Compute — $1,586.77
Most Used Offering	Offering with the most usage hours	wa-gnp-1.1c-0.5gb — 8362.1h, $17.43
Total Usage Hours	Total compute usage time for the period	14324.5h (compute only)
Most Expensive Offering	Single offering with the highest cost	wa-gpu-mi210-1.32c-64gb-vram (GPU) — $888.36

These metrics work together: the Most Used Offering is often a small, cheap instance running constantly, while the Most Expensive Offering is usually a high-end GPU running far fewer hours. In the example, a $17.43 general-purpose instance is the most used, but a single $888.36 GPU offering is the most expensive — more than half of all compute cost.

Chart Settings

On the top-right of this section, click the Chart View icon to change what the chart emphasizes. Each view re-frames the same data from a different angle:

• Resource Breakdown — cost split by resource type (compute, storage, IPs)
• Usage Trends — how cost moves over time
• Offerings — cost grouped by instance offering

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Daily Breakdown

Below the chart, the Daily Breakdown table lists one row per day, giving you the same data in a precise, sortable form.

Figure 3: Daily breakdown table with per-day costs, resource counts, and exportable records.

Each row includes:

• Date — the calendar day
• Total Cost — total spend for that day
• Resources — number of billable resources active that day; a +1 / -2 badge shows the change from the previous day
• Top Offering — the offering that cost the most that day, with its amount
• Trend — percentage change in total cost vs. the previous day

A representative stretch of the table looks like this:

Date	Total Cost	Resources	Top Offering	Trend
2026-06-01	$99.99	14 items	wa-gpu-mi210-1.32c-64gb-vram — $37.03	N/A
2026-06-02	$93.65	14 items	wa-gpu-mi210-1.32c-64gb-vram — $37.03	-6.3%
2026-06-03	$78.43	13 items (-1)	wa-gpu-mi210-1.32c-64gb-vram — $37.03	-16.3%
2026-06-05	$67.71	11 items (-2)	wa-gpu-mi210-1.32c-64gb-vram — $37.03	-8.0%
2026-06-11	$76.84	13 items (+1)	wa-gpu-mi210-1.32c-64gb-vram — $36.85	+11.1%
2026-06-12	$89.79	13 items	wa-gpu-mi210-1.32c-64gb-vram — $37.03	+16.9%

Reading the Resources and Trend columns together explains why a day moved: the -16.3% drop on June 3 lines up with one resource being removed (-1), and the +11.1% rise on June 11 lines up with one being added (+1).

Drill into a day

Click any row to expand the full resource-level breakdown for that day. This reveals every individual service that contributed to the day's total, so you can see exactly what ran and what each item cost.

Figure 4: Resource-level breakdown shown after clicking a day in the Daily Breakdown table.

Each line in the breakdown shows:

• Service — the offering or resource name (for example, wa-gpu-mi210-1.32c-64gb-vram)
• Description — the instance class, tier, and specs (for example, General Purpose · Basic · AMD · 1 vCPU · 512MB)
• Type — Compute, Storage, or Ip
• Region — where the resource ran (for example, Princeton, USA)
• Usage — hours billed in the period (storage shows N/A)
• Price/Hour — the hourly rate for that resource
• Cost — the resource's contribution to the day's total

For example, expanding June 2 ($93.65) shows lines such as:

Service	Description	Type	Region	Usage	Price/Hour	Cost
wa-gpu-mi210-1.32c-64gb-vram	AI Optimized · 32 vCPU · 64GB	Compute	Princeton, USA	24.0h	$1.5400	$37.03
wa-gpu-a6000b-1.8c-32gb-24vram	AI Optimized · 8 vCPU · 32GB	Compute	Princeton, USA	17.7h	$0.8200	$14.42
s-nvme-1	—	Storage	Princeton, USA	N/A	N/A	$13.76
wa-gnp-1.16c-32gb	General Purpose · Enterprise · AMD · 16 vCPU · 32GB	Compute	Princeton, USA	24.0h	$0.3400	$8.04
IP Address	—	Ip	Princeton, USA	579.5h	$0.0029	$1.69
wa-gnp-1.1c-0.5gb	General Purpose · Basic · AMD · 1 vCPU · 512MB	Compute	Princeton, USA	359.9h	$0.0021	$0.75

This view ties the summary back to reality: the GPU offering at $37.03 is the day's Top Offering from the table above, and the long-running wa-gnp-1.1c-0.5gb instance (359.9h) shows how a low hourly rate can still accumulate meaningful usage.

Download Records

To export the data for reporting or auditing:

1. Click Download Records
2. The platform generates a detailed report (PDF) of the breakdown

Exported records are useful for:

• Internal cost reporting and chargeback
• Auditing and reconciliation against invoices
• Sharing cost data with finance or stakeholders

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Cost per Usage

The final section shows how cost is distributed across every offering you ran, making it easy to compare resources side by side and find optimization targets.

Figure 5: Cost distribution by usage across resources and offerings.

Chart Types

Switch between three visualizations depending on what you want to see:

• Line — how each offering's cost trends over time
• Bar — direct comparison of offerings against each other
• Stacked — cumulative distribution of total cost

Insights

Insight	Meaning	Example
Total Offerings	Distinct offerings billed this period	18
Total Hours	Combined usage hours across all offerings	2,583,421h
Avg Cost/Hour	Average cost efficiency across offerings	$0.001
Most Expensive Offering	Highest-cost offering this period	wa-gpu-mi210-1.32c-64gb-vram — $888.36

In this example the explorer is "showing cost distribution across 18 compute offerings," and the GPU offering wa-gpu-mi210-1.32c-64gb-vram stands out at $888.36 — confirming what the Daily Cost Analysis already hinted at.

Use this section to:

• Compare offerings and rank them by cost
• Identify high-cost or under-utilized resources
• Decide where to resize, consolidate, or shut down resources

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A typical workflow

The four sections are designed to be read top to bottom, narrowing from "what" to "why":

1. Cost Summary — see which category dominates the bill (here, compute).
2. Daily Cost Analysis — find the most expensive days and the offerings behind them.
3. Daily Breakdown — confirm what changed on a given day and export the records.
4. Cost per Usage — pinpoint the specific offering to optimize.

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Key Benefits

The Cost Explorer allows you to:

• Gain deep visibility into your cost drivers by category, day, and offering
• Detect spending anomalies and tie them to resource changes
• Optimize resource usage and costs with offering-level comparisons
• Export reports for financial tracking and auditing

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Next Steps

• Review daily cost trends regularly to catch increases early
• Investigate your Most Expensive Offering for resizing or consolidation opportunities
• Export records each billing period for budgeting and reconciliation
• Revisit the Billing Overview for balance and payment status, or Payment History for invoices and receipts