AI-Powered Solutions|
Global Digital Transformation Partner|
24/7 Managed Support|
AI-Powered Solutions|
Global Digital Transformation Partner|
24/7 Managed Support|
YAKKAY Technologies - AI and Automation Solutions
Autonomous FinOps Engine

Maximize Cloud Efficiency.
Lower TCO Autonomously.

YAKKAY Cost Optimization helps enterprises analyze compute node waste, automate resource down-scaling, and secure committed use savings across AWS, Azure, and GCP.

Average Savings32%
-52%
FINOPS ENGINE

Active Recommendation Loop

DRIFT AUDIT

Hourly Scan

Optimization Framework

Targeted Cloud Savings Categories

Compute Right-Sizing Automation

Analyze CPU, Memory, and Network telemetry historical baselines over 30 days. Automatically resize compute instances to match actual operational scopes.

Dynamic instance downsizing recommendations
Instance family migrations suggestions (e.g. from x86 to ARM)
Custom memory/CPU allocation tweaks

Interactive Portal

Active Assist Cost Optimizer

Click "Apply Optimization" on any card below to watch the autonomous FinOps agent scale down assets and recalculate the realized savings metrics.

Realized Monthly Savings$0/mo
Projected Monthly Savings$4000/mo
Active Recommendations4 pending

Downsize Over-provisioned Cloud SQL Instance

+$640/mo
prod-db-replica (db-n1-standard-8)

Instance CPU usage is consistently under 8% over the past 30 days. Recommend downsizing to db-n1-standard-2.

Reclaim 12 Unattached Storage Volumes

+$320/mo
us-east-1-orphan-ebs (Total 2.4 TB)

Orphaned block storage volumes have been detached from VMs for over 14 days. Recommend taking snapshot and deleting.

Purchase Committed Use Discounts (CUD)

+$2150/mo
Compute Engine (n2-standard family)

Compute nodes show a baseline resource usage of 85% over the past 90 days. Recommend converting to 1-year CUD.

Schedule Sandbox Environment Shut-Downs

+$890/mo
dev-sandbox-cluster (8 VMs)

Sandbox servers show 0 active sessions on weekends and off-work hours (7 PM to 7 AM). Recommend setting cron schedule.

active-assist-api.log
Waiting for recommendation trigger...

Enterprise Capabilities

Complete FinOps Automation

Control cloud budgets with automated recomendation engines and continuous resource sweepers.

Cleanup

Hourly Resource Sweepers

Configure automated scheduler cron files to identify orphan block volumes, unassigned load balancers, and unused elastic IPs daily.

Savings Coverage

AI Workload Forecasting

Analyze CPU usage matrices continuously. Forecast exact committed use benchmarks across Amazon Web Services and GCP stacks.

Rightsizing

Dynamic Compute Downsizing

Scale down instance configurations automatically. Switch standard memory/core allocations to high-efficiency ARM instances dynamically.

Scheduling

Cron Environment Standby

Tear down non-production servers during standby off-work hours and weekends automatically to reduce compute costs by over 50%.

Our Framework

How YAKKAY Optimizes Budgets

Our step-by-step FinOps implementation process to secure continuous cloud cost reductions.

01

Cost Audit

Billing evaluation

Integrate YAKKAY billing credentials. Scan past 90-day reports to index compute waste, idle volumes, and discount coverage levels.

02

Reclaim Setup

Orphan cleanup

Configure automated sweeps for detached block storage volumes and idle db clusters, setting secure snapshot backups before deletion.

03

Downsize Action

Rightsizing triggers

Map compute parameters toRightsizing triggers. Scale down over-provisioned cores during non-critical workload segments.

04

CUD Mapping

Discount procurement

Review baseline metrics to secure Committed Use Agreements. Establish auto-renewal billing rules across regions.

Feature Comparison

Traditional FinOps vs. YAKKAY

CapabilityStatic Cost CheckersYAKKAY FinOps Platform
Scan FrequencyMonthly or weekly reports (lagging metrics)Real-time telemetry streams (hourly drift metrics)
Reclamation MethodManual tickets assigned to DevOps (slow execution)Autonomous Active Assist API downsizing (1-click)
Storage snapshotsDeleted manually with risk of data lossAuto-snapshots generated before terminative actions
CUD commitmentsStatic manual projections (high risk of waste)ML baseline forecasting adapting utilization limits
Off-work SchedulingManual VM shutdown scripts (fragile configuration)Centralized policy cron templates for sandbox pools

Support

Frequently Asked Questions

Adopt Continuous Cost Controls

Analyze resource metrics automatically, downsize idle databases securely, and align cloud budgets with actual business value.