#finops
Synopsis: Make it Rain (FinOps)
As a FinOps Analyst, optimizing the cloud lifecycle and secure your financial resources, effectively banishing The Cloud that seeks to drain your corporate budget.

Play Now: blackcatwhitehatsecurity.com/theGame15.cfm

#technology #business
September 29, 2026 at 2:56 PM
One bad day with an AI agent can spike your bill 20-30%. Billing latency just became a much bigger problem.

Maddy Yeazel of IBM Cloudability joins FinOps Fridays to talk tokenomics, attribution, and the new rules of AI cost management: ibm.co/63327EpG7V
Managing AI Costs in the Age of Tokenomics - Apptio
Maddy Yeazel of IBM Cloudability joins Hunter Willis to break down tokenomics: why tokens change forecasting, attribution, and ownership for FinOps teams.
ibm.co
September 29, 2026 at 2:30 PM
I was reading about AI spending and kept opening tab after tab after tab.

At some point, the whole thing started to feel weirdly familiar.

Then my brain went: NINJA loans!!!

And, well…that escalated quickly.

www.shankuehn.io/post/no-inco...

#AI #FinOps
No Income, No Job, No Assets: Is AI Writing NINJA Loans?
If you were anywhere near a mortgage in 2006, you might remember the NINJA loan. The acronym stood for No Income, No Job, No Assets, and it sat at the far end of subprime lending...basically THE riski...
www.shankuehn.io
September 29, 2026 at 2:08 PM
While TBM manages overall IT across hardware and licensing, FinOps ensures daily cloud decisions max actual business value. Stop asking how to cut costs, and start asking how every cloud dollar creates strategic return.
Uncover quick wins with our Sustainable Cloud Scan
#Azure #FinOps #CloudStrategy
September 29, 2026 at 11:55 AM
A common FinOps mistake is reporting idle resources without assigning ownership or a safe action path. Visibility matters only when teams can act.

Full breakdown: nuvelia.fr/en/cloudhea...
Best CloudHealth Alternatives in 2026: Multi-Cloud FinOps Compared
Evaluating a CloudHealth alternative? Our 2026 guide compares VMware Aria, Thalaxo Cloud, and others for multi-cloud FinOps, helping you choose the best tool.
nuvelia.fr
September 29, 2026 at 7:15 AM
Fabricio F. Costa: The Multi-Lab Enterprise: Governance, FinOps, and Telemetry Challenges of Multi-Model AI Adoption https://arxiv.org/abs/2609.31622 https://arxiv.org/pdf/2609.31622 https://arxiv.org/html/2609.31622
September 29, 2026 at 6:39 AM
The Multi-Lab Enterprise: Governance, FinOps, and Telemetry Challenges of Multi-Model AI Adoption
tech_blogs_arxiv | Author: Fabricio F. Costa

#AI
The Multi-Lab Enterprise: Governance, FinOps, and Telemetry Challenges of Multi-Model AI Adoption
Enterprises are not choosing a single frontier AI provider; they are licensing all of them. As of early 2026, 81% of Global 2000 enterprises run three or more model families, and OpenAI, Anthropic, and Google Gemini together account for roughly 88 to 89% of enterprise LLM usage and spend. Drawing on
arxiv.org
September 29, 2026 at 5:17 AM
The latest update for #Kubex includes "What tools detect and resolve #Kubernetes resource contention automatically?" and "What platforms support container auto-scaling and policy-driven resource management?".

#FinOps #DevOps #Cloud https://opsmtrs.com/2XklwqM
Densify
Densify is a predictive analytics engine that removes the guesswork from optimizing cloud and container environments.
opsmtrs.com
September 29, 2026 at 3:59 AM
FinOps Highlights:
• Sync CRM & ERP ledgers instantly
• Recalculate ASC 606 revenue in real time
• Slash month-end close from weeks to days
• Maintain an immutable audit trail

Upgrade financial operations today.

#FinOps #ASC606 #RevOps #B2BSaaS
September 28, 2026 at 7:32 PM
Still tracking milestone billing in spreadsheets? Spreadsheet friction causes missed invoices, ASC 606 compliance risks, and slow close cycles. A dedicated FinOps engine automates CPQ guardrails and real-time revenue recognition.
 designial.com/use-cases/ma...
September 28, 2026 at 7:31 PM
Customs Operations FinOps Specialist - INZIU06 - Airoli - Empire Tower Job educativ.net/jobs/job/66065...
September 28, 2026 at 5:47 PM
The control side is still on the announcement slide: policy APIs, model-family control and usage-based billing were named as FinOps features in last week's Copilot post - announced, not shipping. My read: until they land, splitting light and power users stays a licensing call, not a policy one.
September 28, 2026 at 4:06 PM
Google introduces new FinOps controls for Gemini Enterprise to manage project-level AI spend and eliminate token shock. 🚀 #AI #Infrastructure #CloudComputing
Best practices for dynamic capacity management | Google Cloud Blog
Learn how to build a flexible compute stack on Google Cloud to manage capacity wisely, reduce idle resources, and support AI workloads.
cloud.google.com
September 28, 2026 at 12:40 PM
Microsoft's 25 Sept announcement points that way but doesn't close it yet: Autopilot is still private preview, Copilot Managed Runtime is preview, and the per-token part returns as usage-based billing under the announced FinOps controls. Announcement level, per the Microsoft blog.
September 28, 2026 at 6:30 AM
Satya Nadella présente Copilot comme un « nouvel OS pour le travail » : Office intégré, Code, agent Autopilot et facturation à l'usage. Révolution ou nouveau compteur pour les DSI ? #Copilot #Microsoft365 #IAagentique #FinOps #DSI
Après l’« OS agentique » Windows, voici l’OS Copilot : Microsoft change de fondations
Il y a un an, Microsoft expliquait que Windows allait devenir un « OS agentique ». La formule avait été si mal reçue par les utilisateurs que le patron de Windows, Pavan Davuluri, avait fini par fermer les réponses sous sa publication. Douze mois plus tard, Satya Nadella reprend l'idée, mais en changeant de support : ce n'est plus Windows qui devient un système d'exploitation pour l'IA, c'est Copilot qui devient un système d'exploitation pour le travail…
blog.calipia.com
September 28, 2026 at 6:15 AM
FinOps for AI gets more useful when the unit is a completed workflow, not a token. In our structured-extraction measurements, batch GPT-5.6 Luna was $0.0027/task vs $0.0055 sync—if the work can wait. https://post.fronset.ai/nkjvf4wt
September 28, 2026 at 1:14 AM
🚀 New Remote Job Alert!
💼 Position: Engineer III - FinOps Data Analytics (Remote)
🏢 Company: CrowdStrike
🌍 Location: USA
📁 Category: Data Engineer
#RemoteJobs #RemoteWork #WorkFromHome #Hiring #JobOpportunity
Apply now: https://www.remoteitjobs.app/job/crowdstrike-engineer-iii-finops-data-analy
September 28, 2026 at 12:35 AM
Monday looks like FinOps, FinOps for AI and Tokenomics, as I prep for two events.
September 28, 2026 at 12:13 AM
https://lckhd.eu/p9Xyh5

#Serverless #FinOps #Containers #PlatformEngineering

I really like reading engineering blogs from big orgs like Netflix. Real-world stories from large systems are always interesting. Many function resource configs start as a copy of some other function, with extra padding
September 27, 2026 at 3:59 PM
🥇 We Won Best Use of Snowflake at ELEMENTX 2026 ❄️ | MLH Hack Day 💻
We won **Best Use of Snowflake** at **ELEMENTX 2026** , an **MLH Hack Day** hosted by the Department of CSE, Integral University, Lucknow! 🥳 Taking the top spot also came with a **Machine Learning Kit** 🛠️ and a **.xyz domain** 🌐 from XYZ. Definitely something we're super happy to receive! 😊 ## 🚨 The $9,000/Minute Problem In enterprise IT and FinOps, downtime can cost upwards of **$9,000 per minute**. When an incident happens, the information needed to understand it is often scattered across runbooks, documentation, historical tickets and system records. Engineers can spend significant time searching through all of this before figuring out what went wrong. We took on **Problem Statement 02: "From Signal to Decision"** to tackle this. ## 💡 We Built ResolveIQ **ResolveIQ** is an AI-powered incident copilot that brings relevant incident information together and helps engineers understand: * 🔎 What happened? * 🧠 Why did it happen? * ⚡ What should we do next? It retrieves relevant context from runbooks and historical incidents, then generates a structured **Root Cause Analysis (RCA)** with supporting source references. ## ❄️ Snowflake + AI For the **Best Use of Snowflake** category, we integrated **Snowflake Cortex AI** into our hackathon implementation to analyze incident context and generate cited RCA results. We also added a privacy layer for sensitive information and an incident command center for SLA tracking and remediation. > The public repository has since evolved, and the current implementation uses **Groq AI** for LLM inference while retaining the core RAG and incident-resolution workflow. ## 🧠 How It Works The core workflow is a RAG pipeline: 📄 Runbooks + Historical Tickets ↓ Document Processing ↓ Sentence Transformers ↓ FAISS Search ↓ Relevant Context ↓ AI Analysis ↓ 🧠 Root Cause Analysis ↓ ⚡ Next Steps The current project works with 7 PDF runbooks and 10 historical incident tickets, using `all-MiniLM-L6-v2` embeddings and FAISS for semantic retrieval. ## 🖥️ The Command Center We didn't want ResolveIQ to be just another chatbot. The interface includes: * 🚨 Live incident stream * ⏱️ SLA countdowns * 🔎 AI search * 📊 Evidence and source references * 🧠 Diagnostic and knowledge modes * 🛠️ Remediation terminal This lets engineers move from investigating an incident to understanding the evidence and deciding what to do next. ## ⚙️ Tech Stack **AI:** Snowflake Cortex AI, Groq **Backend:** FastAPI **RAG:** LangChain, FAISS, Sentence Transformers **Frontend:** React, Vite, Tailwind CSS ## 🧩 What We Learned The biggest takeaway for me was that building an AI application isn't just about choosing an LLM. A lot of the engineering work went into retrieving the right context, grounding responses in source material, handling sensitive data and turning AI output into something actually useful for engineers. ## 🤝 The Team This was definitely a team effort. Really grateful to have built this with Arshil Masood, Kamran Rizvi and Ayushmaan Vaibhav. 💙 We bounced ideas around, worked through problems, fixed what broke and kept pushing until we had something we could confidently put in front of the judges. ## 🏆 Final Result 🥇 **Best Use of Snowflake** — ELEMENTX 2026 Huge thanks to Major League Hacking, Snowflake, XYZ and the Department of CSE, Integral University for making the experience possible. Definitely a hackathon we'll remember. 🚀 # hackathon #ai #snowflake #react
dev.to
September 27, 2026 at 1:48 PM