We recently published our 𝟮𝟬𝟮𝟲 𝗔𝘇𝘂𝗿𝗲 𝗖𝗼𝗺𝗽𝘂𝘁𝗲 𝗥𝗮𝘁𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗥𝗲𝗽𝗼𝗿𝘁. Here's one of eight key observations from the data. ���� Azure compute ESR is rising — but modestly. Median monthly all-discounts compute ESR hit 30% in H1 2026, up from 27% in 2024–2025. More telling: minimum ESR climbed from -26.9% to -0.6%, meaning far fewer organizations lost money on rate optimization. More stats: • Smallest segment (under $3M annualized spend): ESR rose 4.7 points, the largest gain. • Larger segments improved only marginally, since they had less room to improve. • ESR increased with usage overall, consistent with larger organizations investing more in FinOps resources. Where does your organization rank? See benchmarks: 🔗https://bit.ly/4vVPVGt #FinOps #Azure #EffectiveSavingsRate #CloudCostOptimization #ProsperOps
ProsperOps
Technology, Information and Internet
Austin, Texas 6,459 followers
Automatically reduce AWS, Azure, and Google Cloud costs with zero ongoing effort. A Flexera company.
About us
The cloud is incredibly powerful, but operating it cost effectively is complicated and time-consuming. Our mission is to remove complexity and deliver savings outcomes so every business can prosper in the cloud.
- Website
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https://www.prosperops.com
External link for ProsperOps
- Industry
- Technology, Information and Internet
- Company size
- 51-200 employees
- Headquarters
- Austin, Texas
- Type
- Privately Held
- Founded
- 2018
- Specialties
- Cloud Cost Optimization, AWS Cost Optimization, Cloud Financial Management, FinOps, Cloud Discount Rate Optimization, Google Cloud, and Microsoft Azure
Products
Locations
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Austin, Texas, US
Employees at ProsperOps
Updates
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🚀 AI cost accountability in action! Huge shoutout to our partners at Pay-i for dropping absolute gold at #FinOpsX! 𝗗𝗮𝘃𝗶𝗱 𝗧𝗲𝗽𝗽𝗲𝗿 hit the nail on the head: when scaling AI spend, tracking raw tokens isn't enough—you have to measure cost per successful outcome and factor in the true unit economics of every agentic loop. This ties directly into how ProsperOps and Pay-i help high-growth teams shift from reactive budgeting to continuous, automated optimization. By pairing cloud savings with real-time AI value tracking, you can stop guessing and start proving ROI on every single model. Check out the full 𝗙𝗶𝗻𝗢𝗽𝘀 𝗫 𝟮𝟬𝟮𝟲 session below to see how to align your AI spend with actual business impact: 👇 🎥 Watch the session: https://bit.ly/4pOvB8t #FinOps #AI #ROI #CloudSavings #AutonomousOptimization #ProsperOps #PayI #FinOpsFoundation
Measuring the Business Value of Agents (Pay-i)
https://www.youtube.com/
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Scaling from $10M to $100M in AI spend? The difference between a budget drain and a competitive advantage is how you manage it. We’ve seen that high-growth, AI-focused companies using our "Shift Right" methodology typically improve their ROI by 47%. How? By moving away from reactive forecasting and toward continuous, automated optimization. ProsperOps and Pay-i enable teams to: ✅ Create cloud budget for AI. ✅ Prove the value of specific AI use cases in real-time. ✅ Automatically reinvest in what works. Stop wasting cycles trying to predict the unpredictable and start executing today. See how it works in our latest post: https://bit.ly/4fKV92K #CloudSavings #AI #ROI #FinOps #AutonomousOptimization #ProsperOps #Pay-i
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🚨 𝗡𝗲𝘄 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵: 𝗔𝘇𝘂𝗿𝗲 𝗰𝗼𝗺𝗽𝘂𝘁𝗲 𝗿𝗮𝘁𝗲 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻, 𝗯𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝗲𝗱 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝘁𝗶𝗺𝗲! This is our first look at Azure Effective Savings Rate (ESR) and Commitment Coverage, with H1 2026 data and previous years’ trends. We analyzed hundreds of organizations representing over $𝟭 𝗯𝗶𝗹𝗹𝗶𝗼𝗻 in annualized Azure compute usage. Median monthly all-discounts compute ESR rose only modestly, from 27% to 30%: 1️⃣ This was mostly driven by the smallest segment (<$3M annual compute usage) with the least FinOps maturity, where ESR rose from 19.1% → 23.8%. 2️⃣ Larger segments, which already run more mature commitment strategies, saw only marginal improvement. 3️⃣ This gain tracked a broader rise in commitment adoption (76% → 84% of billing scopes) and heavier use of 3-year Reservations — which also pushed median Commitment Lock-In Risk (CLR) up from 15.8 to 21 months. How does your Azure savings and ESR compare? 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗿���𝗽𝗼𝗿𝘁 👉 https://bit.ly/3ToCi50 #FinOps #Azure #cloudcostoptimization #CloudOps #effectivesavingsrate
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On July 30th, we’re hosting a live lunch and learn to review a 3-part modernization framework that can help you decide: • 𝗪𝗵𝗮𝘁 𝘁𝗼 𝘂𝗽𝗴𝗿𝗮𝗱𝗲: How to map your fleet (workloads, usage patterns, and dependencies) to realistic target machines. • 𝗪𝗵𝗲𝗻 𝘁𝗼 𝘂𝗽𝗴𝗿𝗮𝗱𝗲: Aligning safe engineering release windows with commitment expiration dates so you don't strand spend. • 𝗜𝘀 𝗶𝘁 𝗪𝗼𝗿𝘁𝗵 𝗶𝘁: Moving beyond list-price comparisons to measure actual impact. 💻 𝗦𝘁𝗼𝗽 𝗹𝗲𝗮𝘃𝗶𝗻𝗴 𝗺𝗼𝗻𝗲𝘆 𝗼𝗻 𝘁𝗵𝗲 𝘁𝗮𝗯𝗹𝗲 𝘄𝗵𝗲𝗻 𝘆𝗼𝘂 𝗺𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗲 𝘆𝗼𝘂𝗿 𝗩𝗠 𝗳𝗹𝗲𝗲𝘁 📅 Thursday, July 30 | 11:30am-12:30pm MST 🔗: https://bit.ly/4fx0d9E 💥𝗕𝗢𝗡𝗨𝗦: Every attendee gets free access to the 𝗣𝗿𝗼𝘀𝗽𝗲��𝗢𝗽𝘀 𝗣𝗿𝗶𝗰𝗲 𝗖𝗼𝗺𝗽𝗮𝗿𝗶𝘀𝗼𝗻 𝗧𝗼𝗼𝗹 for Google Cloud, so you can put the framework to work immediately. You will also enter into a raffle to win a $𝟭𝟱𝟬 𝗩𝗶𝘀𝗮 𝗚𝗶𝗳𝘁 𝗖𝗮𝗿𝗱!!! 💥 #PlatformEngineering #FinOps #CloudCostOptimization #VM #Modernization
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When teams operate in silos, you get the classic tension: Engineering wants to upgrade for performance/SLOs, but FinOps blocks it because the existing VM family is still under commitment. The most successful modernization plans actually treat performance and cost as two sides of the same coin. Andrew DeLave, a former infrastructure engineer and current FinOps Specialist will break down the cost benefits of modernization that frankly, no one talks about. 𝗦𝘁𝗼𝗽 𝗹𝗲𝗮𝘃𝗶𝗻𝗴 𝗺𝗼𝗻𝗲𝘆 𝗼𝗻 𝘁𝗵𝗲 𝘁𝗮𝗯𝗹𝗲 𝘄𝗵𝗲𝗻 𝘆𝗼𝘂 𝗺𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗲 𝘆𝗼𝘂𝗿 𝗩𝗠 𝗳𝗹𝗲𝗲𝘁 Thursday, July 30 | 11:30am-12:30pm MST Register now👉https://bit.ly/4x2HxG7 #PlatformEngineering #FinOps #CloudCostOptimization #VM #Modernization
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You can't forecast what you can't predict. 🤯👇 Most orgs manage AI spend the same way they managed IT: forecast budget upfront, control costs before they happen. AI breaks that model. That’s why ProsperOps has partnered with Pay-i to enable “𝗦𝗵𝗶𝗳𝘁 𝗥𝗶𝗴𝗵𝘁”. Instead of predicting AI costs before they happen, you build continuous optimization, measurement, and execution into how you operate. 🤖ProsperOps and Pay-i create cloud budget for AI, prove its value, and show you which use cases to reinvest in, continuously and automatically. A high-growth, AI-focused company scaling from $10M to $100M in AI spend typically improves its ROI by 47%. 👉 Learn how you can accelerate your AI journey in this blog: https://bit.ly/4wSXXk8 #CloudSavings #AI #ROI #FinOps #AutonomousOptimization #ProsperOps #Pay-i
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📅 Last day to sign up for our webinar with 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴! If your team is evaluating a VM migration or already mid-flight, have you considered all of the financial aspects of this change? Is there enough capacity for the new VMs you’re moving to? What does commitment eligibility look like? How do negotiated rates compare with your current VM fleet? 𝗔𝗻𝗱𝗿𝗲𝘄 𝗗𝗲𝗟𝗮𝘃𝗲 from ProsperOps covers exactly that, along with a framework for measuring total modernization outcome, not just hourly rate savings. 𝗧𝗵𝗲 𝗖𝗼𝘀𝘁 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗼𝗳 𝗠𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗩𝗠 𝗙𝗹𝗲𝗲𝘁 (𝗧𝗵𝗮𝘁 𝗡𝗼 𝗢𝗻𝗲 𝗧𝗮𝗹𝗸𝘀 𝗔𝗯𝗼𝘂𝘁) Tuesday, July 21 | 1pm EDT / 10am PDT Register now👉https://bit.ly/44rzRB2 #PlatformEngineering #FinOps #CloudCostOptimization #VM #Modernization
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Most engineers evaluate VM modernization on one number: the on-demand hourly rate. That's not the full picture. Private pricing, discount eligibility on newer VM series, and the impact on your existing commitments all affect whether a migration actually saves money - and most teams aren't accounting for any of it. Our very own 𝗔𝗻𝗱𝗿𝗲𝘄 𝗗𝗲𝗟𝗮𝘃𝗲 from ProsperOps walks through the financial dimensions of VM modernization in this 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 webinar. You'll leave with a framework for evaluating the full cost of a VM migration - including cost avoided, not just cost incurred. Sign up before it’s full: https://bit.ly/4hcCazb #PlatformEngineering #FinOps #CloudCostOptimization #VM #Modernization
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"𝘐 𝘴𝘦𝘵 𝘪𝘵 𝘢𝘯𝘥 𝘧𝘰𝘳𝘨𝘦𝘵 𝘪𝘵. 𝘐𝘵 𝘫𝘶𝘴𝘵 𝘳𝘶𝘯𝘴, 𝘢𝘯𝘥 𝘵𝘩𝘦 𝘤𝘰𝘮𝘱𝘢𝘯𝘺 𝘣𝘦𝘯𝘦𝘧𝘪𝘵𝘴 𝘧𝘳𝘰𝘮 𝘪𝘵. 𝘎𝘳𝘦𝘢𝘵 — 𝘐 𝘤𝘢𝘯 𝘨𝘰 𝘧𝘰𝘤𝘶𝘴 𝘰𝘯 𝘮𝘺 𝘱𝘦𝘰𝘱𝘭𝘦 𝘥𝘰𝘪𝘯𝘨 𝘵𝘩𝘦 𝘵𝘩𝘪𝘯𝘨𝘴 𝘵𝘩𝘢𝘵 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 𝘥𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘵𝘪𝘢𝘵𝘦 𝘵𝘩𝘦 𝘰𝘳𝘨𝘢𝘯𝘪𝘻𝘢𝘵𝘪𝘰𝘯." — 𝘓𝘢𝘳𝘳𝘺 𝘏𝘢𝘶, 𝘝𝘗 𝘰𝘧 𝘗𝘭𝘢𝘵𝘧𝘰𝘳𝘮 𝘢𝘵 𝘊𝘰𝘭𝘭𝘪𝘣𝘳𝘢 For data governance leader, 𝗖𝗼𝗹𝗹𝗶𝗯𝗿𝗮, the priority has always been helping customers adopt AI wherever they are — across AWS and Google Cloud. But supporting multiple clouds also meant navigating the growing complexity of commitment management. Every long-term commitment has the potential to constrain future infrastructure decisions. As workloads evolve, instance types change, and new technologies emerge, engineering teams need the freedom to adapt — not be locked into yesterday's decisions. By automating commitment management, the team gained the flexibility to scale infrastructure up or down, adopt new technologies, and optimize their cloud environment without worrying about whether existing commitments would get in the way. The result? 📉 Cloud costs have remained flat — or even declined — as the business has grown. 🚀 Savings have been reinvested into new engineering teams, customer-facing features, and AI innovation. ⚙️ Cloud commitment management became something the team simply doesn't have to think about anymore. Watch the full case study here: https://lnkd.in/gicD8ppb #PlatformEngineering #CloudOptimization #FinOps #AWS #GoogleCloud #CloudInfrastructure #DevOps #AI #SRE
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