Maximized Cost Savings
Identify and eliminate unnecessary cloud expenses while optimizing existing resources for efficiency.
Cloud Optimization Service is designed to cater end to end optimization of their cloud infrastructure powered by FinOps principles and leveraging Well Architected framework helping organizations gain financial control, drive accountability, and maximize business value from cloud investments. By tracking and allocating costs, and optimizing capacity and usage, we blend financial insights with technical expertise to reduce cloud spend without compromising performance or agility. We bring in our expert practitioner-led approach to maximize your cloud investments and leverage a better Return on Investment (ROI)
Identify and eliminate unnecessary cloud expenses while optimizing existing resources for efficiency.
Enhance resource utilization, reduce downtime, and improve system performance without disrupting business workflows.
Simplify cloud billing with consolidated invoicing, usage tracking, and customized discount structures.
Improve ROI, mitigate financial risks, and maintain long-term cost sustainability through structured billing and cost oversight.
Reinvest savings into strategic initiatives, supporting technological advancements and business expansion.
Trusted by businesses across industries for tailored cloud optimization.
Personalized strategies designed to fit your unique business needs.
Achieve visible cost savings and improved SLA compliance.
Reduce overhead and eliminate waste with intelligent resource allocation.
Accelerate go-to-market timelines with agile cloud solutions.
Ensure maximum uptime with proactive performance management.
Future-proof your cloud environment for evolving business demands.
| Plans | Deliverables | Man-Hour Charges | |
| Cloud Optimization | CLOUD OPTIMIZATION service, powered by FinOps principles, helps organizations gain financial control, drive accountability, and maximize business value from cloud investments. By tracking and allocating costs, and optimizing capacity and usage, we blend financial insights with technical expertise to reduce cloud spend without compromising performance or agility. Optimization reviews and reporting are offered, as per the plan subscription.
|
% of Cloud Spend | |
The Cloud Optimization Service is designed to continuously improve the cost efficiency, performance, and operational effectiveness of cloud environments. It focuses on optimizing compute, storage, and licensing consumption by aligning resources with actual workload demand, implementing right-sizing and elasticity strategies, and recommending optimal consumption models, while maintaining required performance, availability, and compliance standards across private cloud, public cloud (like Yntraa Cloud, AWS, and Azure), hybrid, and multi-cloud environments.
To align cloud costs with business value by rightsizing resources, eliminating waste, tuning performance, and embedding cost governance.
The service is platform-agnostic and supports private cloud, public cloud (like Yntraa Cloud, AWS, and Azure), hybrid, and multi-cloud environments.
It follows FinOps Foundation principles, embedding financial accountability into cloud operations.
Through a step-by-step cycle: discovery, baseline assessment, opportunity identification, recommendations, implementation, and continuous review.
Organizations can choose quarterly, half-yearly, or annual cycles depending on cloud maturity and business needs.
Pricing is structured in three models: Quarterly (5% of spend), Half-Yearly (3% of spend), and Annual (1% of spend), billed as a percentage of monthly cloud spend.
Cloud operations, finance, and business stakeholders collaborate to ensure accountability and alignment.
Every recommendation is validated to maintain workload performance, application availability, and user experience.
Optimization reports, rightsizing and scheduling plans, network traffic analysis, commitment strategies, KPI dashboards, and periodic review reports.
Compute optimization focuses on aligning compute capacity with workload demand through right-sizing, elasticity and scaling improvements, and consumption model optimization to reduce cost without impacting performance.
By realizing savings, improved coverage ratios, cost-per-unit reductions, and adherence to optimization KPIs.