Dashboard Widgets

Disk Space Utilization

Overview

The "Disk Space Utilization" widget on the Lucidity dashboard displays the percentage of disk usage across all onboarded partitions, providing visibility into storage efficiency. This metric excludes instances in a shutdown or powered-off state to give a more accurate representation of active usage. The widget includes two key bars: "Pre Lucidity" and "Post Lucidity."

How It Works

Pre Lucidity

The "Pre Lucidity" bar represents the weighted average of utilization percentages across all mount points of all VMs where the agent has been installed with at least one onboarded mount point. It provides a baseline view of disk utilization before using Lucidity’s optimization features. Each VM can have multiple mount  points with different utilization percentages, and the weighted average takes this into account.

For example, if a VM has three mount points with varying utilization, the utilization of each mount point is weighted by its provisioned size.

Calculation for "Pre Lucidity": If there are three VMs with the following details:

• VM1: Mount Point A: 40% utilization, 300 GB provisioned; Mount Point B: 50% utilization, 200 GB provisioned

• VM2: Mount Point A: 60% utilization, 300 GB provisioned

• VM3: Mount Point A: 50% utilization, 400 GB provisioned

The weighted average is calculated as: ((40% 300) + (50% 200) + (60% 300) + (50% 400)) / (300 + 200 + 300 + 400) = 49.44%.

Note

The pre Lucidity utilization is retrieved at the time of onboarding and this is the basis for calculation of the Pre Lucidity utilization percentage

Post Lucidity

The "Post Lucidity" bar shows the optimized utilization percentage after onboarding partitions and applying Lucidity’s auto scaling features. This is calculated as the total managed data divided by the total provisioned disk size across all onboarded partitions.

Suppose:

• Total managed data across all onboarded partitions: 920 GB

• Total provisioned disk size across all onboarded partitions: 1200 GB

• The Disk Space Utilization post-onboarding is calculated as: (920 GB /  1200 GB) = 76.67% Utilization

Example Use Case

Before Lucidity, a customer’s disk utilization might have been inefficient, with overall usage at 49.44%. After onboarding partitions and using Lucidity’s auto-scaling features, utilization across the same environment increased to a more optimal 76.67%, indicating better resource management and reduced waste.

Projected 12 month Savings

Overview

The "Projected 12-Month Savings" widget on the Lucidity dashboard estimates the total savings a customer can expect over the next 12 months, based on the average savings from partitions already onboarded so far in the last 3 days. This projection helps users understand potential long-term cost savings from Lucidity's optimizations.

How It Works

The projection is calculated using historical savings data in the last 3 days, factoring in the average savings achieved in these 3 days. The calculation follows these steps:

• Historical Data: The system tracks the savings realized during the time Lucidity has managed the onboarded partitions.

• Average Savings: Based on the historical data, the system calculates the average savings in the last 3 days.

• Projection Multiplier: The average savings are multiplied by 365 to project the savings for the upcoming year.

Example Use Case

Suppose a customer has saved $500, $600, $700 in the last 3 consecutive days with Lucidity. The Projected 12-Month Savings widget will calculate the savings as:

Projected Savings = (500+600+700)/3 USD * 365 = 219000 USD/year.

This allows the customer to anticipate savings of $219000 over the next 12 months based on current performance.

Savings Realized

Overview

The "Savings Realized" widget on the Lucidity dashboard provides the cost savings achieved by optimizing disk usage through Lucidity. These savings are calculated by comparing the costs of your original disk setup with the current disk setup managed by Lucidity. This metric is updated daily.

How It Works

Savings are determined by evaluating the differences in cost between the original disk configuration and the optimized configuration under Lucidity, depending on whether Lucidity has reduced or increased the disk size:

• If Lucidity Reduces Your Disk Size:

  • Savings are calculated by comparing the cost of the original, larger disk (pre Lucidity optimization) to the cost of the smaller, optimized disk (post Lucidity optimization). The savings reflect the direct reduction in storage costs due to disk shrinking. Example:

  • Pre-Lucidity Setup: A customer has a 1TB disk costing $0.10 per GB per month, with 300GB of data (30% utilization). The monthly cost is $100 (1,000GB x $0.10).

  • Post-Lucidity Setup: Lucidity resizes the disk to maintain 75% utilization (this is indicative utilization and not actual utilization), reducing the size to 400GB (300GB /75%). The new monthly cost is 400GB x $0.10 = $40 (0.1$/GB is the example cost for ease of calculation)

  • Savings Realized: $100 (original cost) - $40 (post-Lucidity cost) = $60 saved per month.

• If Lucidity Increases Your Disk Size:

  • For very low pre-Lucidity utilization (below 20%): The savings calculation assumes the original utilization was 20%, regardless of actual utilization below that level. This adjusts the original disk size to reflect what would have been necessary to maintain 20% utilization, including any new data added post-onboarding. Example:

  • Pre-Lucidity setup: The customer has a 1TB disk with 100GB of data (10% utilization). After onboarding, the customer adds 950GB of new data, for a total of 1050GB.

  • Post-Onboarding setup: To maintain 75% utilization, Lucidity resizes the disk to 1400GB. The monthly cost now is $140 (1400GB x $0.10).

  • Without Lucidity (with adjusted utilization): Without Lucidity, to accommodate the data at 20% utilization, the disk size would need to be ~5250GB (1050GB/20%), costing $525 per month (5250GB x $0.10).

  • Savings Realized: $525 (without Lucidity) - $140 (with Lucidity) = $385 saved per month.

  • For higher pre-Lucidity utilization (above 20%): Savings are calculated based on actual data usage, adjusting the original disk size for post-onboarding data increases, and comparing the original cost with the current setup.

Note 1

The savings displayed on the Lucidity Dashboard currently DOES NOT include the charges for using the Lucidity service.

Note 2

The savings calculations presented on the Lucidity Dashboard are based on standard Azure pricing for managed disks. Please be  aware that if you have negotiated custom pricing arrangements with Azure, the actual savings you experience may differ from those displayed on our dashboard

Return  On Investment

Overview

The "Return on Investment" (ROI) widget on the Lucidity AutoScaler dashboard displays the percentage of cost savings achieved relative to the original disk setup costs. This measure helps users understand the financial efficiency gained by using the Autoscaler, excluding Lucidity's service charges.

How It Works

The ROI is calculated by comparing the reduced costs after AutoScaler optimizations to the costs of the original disk setup. The resulting percentage reflects how much of the original investment has been recouped through savings.

Example Use Case

The formula used to calculate ROI is:

ROI = (Original Disk Setup Cost - Optimized Disk  Cost)/Original Disk Setup Cost x 100

For example, if the original total monthly cost for disk setup is $100 and AutoScaler optimizations reduce this cost to $70 per month, the ROI widget will show a 30% i.e., return on investment, indicating a significant reduction in storage costs due to efficient storage management.

Manual  SRE Tasks  Eliminated

Overview

The "SRE Tasks Eliminated" widget quantifies the operational efficiency gains from Lucidity’s AutoScaler by displaying the number of on-call alerts that were preemptively prevented from date of onboarding. These metrics are updated daily.

How It Works

This widget tracks the number of instances where the AutoScaler automatically adjusted disk storage, either expanding or shrinking in response to real-time changes in data volume. The count shown is the total number of shrinks and expands calculated from date of onboarding to the present moment. Each automatic adjustment that prevented a potential alert, which would have required manual SRE action in absence of Lucidity, is counted as an "SRE Call Avoided." This demonstrates how Lucidity’s solution not only optimizes disk utilization but also significantly reduces the operational burden on SRE teams.

Example Use Case

Imagine a scenario where data volume suddenly spikes, risking a disk space threshold breach. Normally, this would trigger an SRE alert, prompting manual intervention to expand disk capacity. With Lucidity’s AutoScaler, this expansion happens automatically. The widget records this automatic action as an avoided SRE call. Similarly, unnecessary resource usage during low data volumes would typically require manual shrinking of disks; this is also automated by Lucidity, further preventing SRE calls.

Save Now / Unrealized Savings

Overview

The "Save Now" widget on the Lucidity AutoScaler dashboard quantifies the additional cost savings that could be achieved in a year if all disks in your environment which have the AutoScaler agent installed were onboarded to the Lucidity platform.

How It Works

This widget estimates potential savings based on the average utilization rates of disks currently managed by Lucidity. For instance, if disks onboarded so far have an average pre-Lucidity utilization of 30% and the post-Lucidity utilization averages 75%, the same potential improvement is assumed for all yet-to-be onboarded disks.

Example Use Case

Suppose you have 100 disks with AutoScaler agent installed on them and a total provisioned capacity of 100 TB across these agent installed disks. Before onboarding, these 30 disks were underutilized, with an average usage of  30%. However, after onboarding, the system automatically optimized the storage by expanding and shrinking disk sizes as needed, increasing the average utilization of these disks to 75%, ensuring more efficient use of the available disk storage.

Calculating Current and Potential Savings

• Pre-Lucidity Cost for Managed Disks (30 TB x $10/TB): $300/month

• Post-Lucidity Cost at 75% Utilization (now using 9 TB effectively at 75% utilization = (9TB/75%) x $10/TB): $120/month

• Current Savings: $180/month

If the remaining 70 TB were onboarded and optimized to the same 75% utilization:

• Cost at current unoptimized utilization (30% utilized but fully paid for i.e., 21 TB storage being used):

                    70 TB * $10/TB = $700/month

• Cost at optimized post-Lucidity utilization ( (21 TB/75%) * $10/TB = $280/month

• Potential monthly savings if remaining disks are optimized: $700 - $280 = $420/month

Thus, the "Unrealized Savings" widget would display that an additional 420$ x 12 = $5040 per year could be saved if the remaining 70 TB of disk space is onboarded and optimized to the current standard set by the already managed 30 TB