Lucidity

Most enterprises are using only ~30% of the storage they pay for. That is not an edge case. It is the average. For our State of Cloud Storage 2026, we analyzed 200PB of block storage across 700+ enterprise environments. What we found: Average disk utilization: ~30% Utilization by cloud provider: ✔️ Azure: 27.9% ✔️ GCP: 28.4% ✔️ AWS: 37.8% Utilization by operating system: ✔️ Windows: 36.7% ✔️ Linux: 22% Even the most optimized environments are leaving a significant portion of storage idle. So why does this persist? Capacity planning is uncertain. The cost of getting it wrong is downtime. Reducing allocated storage is complex and rarely attempted. When downtime averages $9,000 per minute, overprovisioning becomes the default. If you are running large-scale cloud environments, this report provides a clear benchmark for where you stand and how much opportunity exists. Get the full report: https://lnkd.in/g8UQnAtD #CloudInfrastructure #FinOps #AWS #Azure #GCP #CloudStorage

13 seats. No exceptions. We're bringing together a small group of enterprise infrastructure leaders in New York for an evening that's equal parts hands-on and high-signal. → Design your own custom Nike Air Force 1s and fleece jacket at Nike House of Innovation on 5th Avenue → Move to Il Gattopardo — one of Midtown's finest Italian restaurants — for dinner and a candid conversation on where storage goes in the AI era The agenda is simple: AI is multiplying storage demand faster than most teams can react. The leaders at this table are already rethinking that. If you're responsible for cloud infrastructure at enterprise scale and want to be in that room — request your spot below. 📅 Thu, May 21st | 4:30 PM 📍 Nike House of Innovation, New York 🔗 Request your seat → https://lnkd.in/dAiEjNYb #CloudInfrastructure #EnterpriseStorage #AI #NYC

Compute is notoriously misconfigured. Node autoscaling suffers because of it. Storage is its own story as well. There's no native autoscaler for persistent volumes, so teams over-provision to avoid downtime. The result: 40-70% of block storage capacity goes unused, costs compound quarter over quarter, and I/O performance suffers from mismatched disk tiers. Compute and storage optimization need to happen together. On May 14, Lucidity and Kubex are walking through what that looks like in practice. We'll cover where compute waste hides across clusters and how to eliminate it, how storage provisioning patterns quietly inflate your cloud bill, and what continuous, autonomous optimization looks like in a production Kubernetes environment. Real environments, real numbers. May 14 | 11:00 AM EST | Live Webinar Register and we'll send the recording if you can't join live. Register here: https://lnkd.in/dy7z-Hr8 #Kubernetes #CloudInfrastructure #FinOps #CostOptimization #DevOps #PlatformEngineering

What's the best way to level up a great engineering team? Take them to offsite🏕️ #Lucidity's engineering crew packed up and got together for a few days of real collaboration. Whiteboard sessions, architecture deep dives, honest conversations and ideas that came alive in the same room. No standups. No deployments. Just a great team and even better moments! #engineering #Lucigang #LifeAtLucidity #teamoffsite #collaboration #buildingtogether #Workhardplayhard

We had a really insightful discussion yesterday on how cloud cost management is evolving — and where things are actually headed next. Some key takeaways from the session: - The challenge isn’t visibility anymore — it’s acting on data fast enough - With more dynamic workloads, cost ownership is becoming less clear and more distributed - Teams are still figuring out how much decision-making to automate vs where to keep control - “Set and forget” doesn’t work — continuous optimization is becoming the norm - And importantly, FinOps isn’t just a finance problem anymore — it’s deeply tied to engineering decisions Great insights from Dieter Matzion on how this is playing out in practice, along with Raj Dutt driving the conversation. If you couldn’t join us live, the full session is now available: 👉 Watch on demand → https://lnkd.in/dcmFDhAy #CloudComputing #CloudOps #FinOps #Automation #CloudCost #AI

Cloud cost management is changing fast. Workloads scale unpredictably, infrastructure adjusts in real time, and cost decisions can’t rely on static dashboards anymore. We’re hosting a session tomorrow to break down how teams are adapting to this shift — moving from tracking and reporting to more predictive and automated decision-making. If you’re working across cloud, infrastructure, or cost, this should be a useful discussion. 📅 April 15 ⏰ 11 AM PT / 2 PM ET Register here → https://lnkd.in/dPZhNvk9 #CloudComputing #CloudOps #FinOps #Automation #CloudCost #TechLeadership

The most important FinOps skill isn’t financial or technical. It’s empathy. As David Gross, Senior Staff, Cloud Planning Engineering at Celonis, shared in our webinar: FinOps' most vital role is to serve as an empathetic bridge between the CFO (focused on budget) and the CTO (focused on delivery). The bridge? Shared technical-financial KPIs. Metrics like requests per vCPU translate engineering efficiency into financial impact, aligning performance, cost, and business goals on the same scorecard. Curious how to turn KPIs into alignment tools? Watch the full webinar on-demand here: https://lnkd.in/gfDduNqe #CloudStrategy #FinOps #TechLeadership

Here's to new beginnings, bold moves, and a little “egg-stra” push to keep going 🐰🥚 Wishing you all a Happy and a joyful Easter! #Easter2026 #NewBeginnings #Lucigang #LifeAtLucidity

Ancient wisdom says the universe is made of 5 elements: Earth, Water, Air, Fire, and Space. We’ve spent the last 5 years making sure that Cloud space is optimized, not just occupied. Lucidity is officially 5, and the party has only just started. 🥂 #teamlucidity #lifeatlucidity #party

We analyzed 700+ enterprise cloud environments. 200+ PB of storage capacity. Every major cloud, every major industry. The average disk utilization? 30%. That means over two-thirds of every dollar enterprises spend on cloud block storage is going to empty buffer space. Here are some key breakdowns: → Azure: 27.9% avg utilization. GCP: 28.4%. AWS leads at 37.8%  → Linux VMs average just 22%, 15 points lower than Windows  → No industry averages above 40%. → 8–10% of disks are overutilized and at active downtime risk The problem is universal, and not related to any industry or architectural choice. Disk shrinking in production environments is operationally risky and manually intensive. The penalty for undershooting storage (downtime) is always worse than overshooting (wasted spend). So teams overprovision and the waste compounds indefinitely. Storage already represents 15–30% of total cloud bills. And unlike compute, data is persistent. The line item only grows. The State of Cloud Storage 2026 is out now. Full breakdown by provider, OS, region, VM type, and industry. Read here: https://lnkd.in/gsy6YYfP #CloudStorage #FinOps #CloudCosts #AWS #Azure #GCP