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Our latest client success story is live! Eric Anderson, CEO of WebOps, Inc., shares the challenges of managing a fast-growing AWS bill and how he took control of it. WebOps, Inc. runs the surgical logistics platform that medical device manufacturers rely on to get the right implants and instruments to the right operating room, at a scale of roughly 140,000 surgeries a month. As the platform grew, so did its AWS footprint, making cloud the company's second-largest cost after people. The real challenge was not the size of the bill, but the visibility behind it, and closing that gap kept pulling his engineers away from building the product. Eric Anderson, thank you for your time, your candor, and your trust. It is a privilege to be part of this journey with you and the WebOps, Inc. team. Hear it in Eric's own words: https://lnkd.in/es3c8zYf #AWS #FinOps #CloudCostOptimization #ManagedServices #MedTech Amazon Web Services (AWS) AWS Partners Eric Anderson WebOps, Inc.

"You pay by the drink, and sometimes you don't know how many people are drinking, and you don't know what they're drinking, and you don't know where they're drinking it." That is how Eric Anderson, CEO of WebOps, Inc. described the real challenge with cloud spend. It was never just the size of the bill. It was the visibility behind it. Consumption-based pricing means costs can climb without a clear account of which teams, environments, or services are responsible. And at WebOps, Inc. closing that gap kept pulling engineers away from the product they were building. EPI-USE Services for AWS started by mapping where the money was actually going, then separating necessary spend from avoidable spend. Read how: https://lnkd.in/es3c8zYf #FinOps #CloudCost #AWS #CloudManagement #CustomerSuccess

What if your cloud bill could explain itself? Reconciling an AWS bill the size of WebOps, Inc.' once meant a specialist working manually through thousands of billing line items. EPI-USE Services for AWS now runs that analysis through its FinOps Hub, where AI agents built on Amazon Bedrock query the client's own billing and usage data, establish what moved and why, and draft the findings in plain business language. The result: monthly reviews spent making decisions rather than reconstructing invoices. This is the direction we call AgenticOps. See it in action: https://lnkd.in/es3c8zYf #AgenticAI #AmazonBedrock #FinOps #AWS #CloudIntelligence

There is a lot of noise right now about handing operations over to AI. Our approach with WebOps, Inc. was deliberate about where the line sits. On this engagement, AI agents on Amazon Bedrock work on cost and usage data alone. They have no access to the WebOps platform, its application code, or its customer data. And nothing reaches the client unreviewed: an EPI-USE FinOps specialist validates every finding and approves every recommendation before it is issued. The agents compress the analysis. The accountability stays with people. Read the full story: https://lnkd.in/es3c8zYf #ResponsibleAI #FinOps #AWS #AgenticAI #CloudGovernance

Cost credibility is what changed the conversation. After months of reviews in which the numbers held up and the recommendations paid off, EPI-USE Services for AWS earned the trust to take on a bigger question for WebOps, Inc. whether the platform could move off Microsoft SQL Server Enterprise Edition, one of its largest AWS costs, onto Amazon Aurora PostgreSQL. As Eric Anderson put it: "EPI-USE conducted a Modernization Viability Assessment, and the results gave us the confidence that we could go down the path to implement Aurora Postgres." A Phase 1 proof of concept verified the first WebOps database running on Amazon Aurora PostgreSQL. Cost clarity first. Then modernization. See how the story unfolded: https://lnkd.in/es3c8zYf #CloudModernization #AuroraPostgreSQL #AWS #DatabaseModernization

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