Est. 2006
Est. 2006
Cloud costs creep when architectures sprawl, resources idle, and observability lags. We bring financial accountability to engineering—pairing FinOps disciplines with performance tuning so you can scale confidently and efficiently.
FinOps Assessment – Current spend analysis, anomaly review, and opportunity sizing by service/account
Rightsizing & Scheduling – Instance families, autoscaling policies, start/stop schedules, and storage lifecycle rules
Commitment Planning – AWS Savings Plans/RIs, Azure Reservations, GCP CUDs; purchase strategy and governance
Architecture Optimization – Serverless vs. containers, managed services adoption, caching/CDN, data tiering
Data & Analytics Cost Control – Warehouse/lake query tuning, partitioning/clustering, materializations, and quotas
Observability & Alerts – Cost dashboards, budgets, anomaly detection, and automated notifications
Tagging & Chargeback – Standards for ownership, environments, and cost centers; showback/chargeback models
Security & Resilience – Optimizations that preserve RTO/RPO, redundancy, and compliance requirements
Training & Playbooks – Upskill teams with optimization runbooks and monthly reviews
Proven Outcomes: 15–45% savings within the first 90 days for typical estates (scope dependent)
Balanced Approach: We optimize spend while maintaining performance, reliability, and security
Multi‑Cloud Expertise: AWS, Google Cloud, and Azure with vendor‑agnostic recommendations
Operational Cadence: Monthly/quarterly reviews, roadmap alignment, and KPI tracking
Transparent Reporting: Clear unit economics and executive‑ready summaries
SaaS Platform → 32% spend reduction via rightsizing, Savings Plans, and EBS lifecycle rules
Healthcare Analytics → 40% lower query costs with partitioning, clustering, and materialized views
Retail Omnichannel → CDN and cache tuning cut egress by 27% and improved latency by 18%
Discover – Baseline spend, utilization, and performance targets
Analyze – Identify hotspots, waste, and architectural inefficiencies
Plan – Prioritized initiatives with savings estimates and risk/impact
Execute – Implement changes with guardrails and automation
Review – Track KPIs, verify savings, and iterate monthly
Brainyyack aligns engineering with finance to deliver durable savings and better performance. Let’s turn your cloud into a competitive advantage.
No. We test changes and set SLO‑aware guardrails to preserve performance and availability.
Yes. We set up dashboards, budgets, and alerts—and can run monthly/quarterly reviews.
AWS, Azure, and GCP. Tools include native cost explorers, CloudHealth, Cloudability, and open‑source options.
Absolutely. We tune warehouses/lakes (Snowflake, BigQuery, Redshift) and pipelines for efficient consumption.
Many wins land in the first 2–4 weeks (tagging, rightsizing, scheduling), with deeper architectural savings over subsequent cycles.
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