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Case Study

S&P 200 Insurance

Poor visibility into their costs was inhibiting the migration of additional workloads to AWS.

Unable to allocate certain shared expenses.

Resulting in poor visibility across the organization into fully allocated costs.

Professional services engagement to take control of costs and begin to apply FinOps fundamentals

Automation of the cost allocation process via ingestion of the CUR into Redshift and the drafting of SQL queries to perform the allocations.

Clarity on cloud spend, increased trust of AWS, acceleration of insight, forecasting capability across client teams, which accelerated budgeting green lights from Finance.

1) Daily updating and execution of the allocation queries resulted in real time visibility into fully allocated costs via BI tools, allowing a much wider audience within the organization to understand their costs.

2) The SQL query library and companion runbooks provided a platform for any number of additional allocations in the future

CASE STUDY

Data Analytics Client

$25 million in annual AWS spend that was growing much faster than revenues

Lack of an ability to segment spend by customer or product

Large amounts of waste as unneeded non-production workloads could not be identified and terminated

Four-month professional services engagement to apply FinOps fundamentals using AWS redshift as the data warehouse.

1) Gain control of escalating spend

2) Gain ability to segment spend

3) Fully enable the client team on FinOps fundamentals

Over $1.3 million in annualized savings realized within 4 months; cumulative savings versus prior growth trend of $9 million realized within 1 year;

1) Greatly expanded reportability; spend segmentable by customer

2) Abandoned demo and POC workloads identified by customer and terminated

3) Processes for ongoing RI portfolio management & rightsizing established

4) FinOps team established & enabled to sustain best practices