Plus carbon efficiency insights to optimize costs AND sustainability ๐ฐ๐
๐ฒ Full recipe at cloudcostchefs.com
#FinOps #AzureCostManagement #CloudCostChefs
@cloudcostchefs.bsky.social
CloudCostChefs: Serving free FinOps recipes & tools to help engineers master #FinOps, #Azure, #OCI & multi-cloud cost optimization. ๐ณโ๏ธ
Plus carbon efficiency insights to optimize costs AND sustainability ๐ฐ๐
๐ฒ Full recipe at cloudcostchefs.com
#FinOps #AzureCostManagement #CloudCostChefs
๐ณ Microsoft Ignite 2025 just gave FinOps teams an AI sous-chef!
Copilot in Azure answers natural language questions about cloud costs: "Why did my Azure spend spike last Tuesday?" Get instant breakdowns by service, resource, or time period.
๐ก Pro tip: Track ECOR monthly. It's the only metric that shows holistic cloud efficiency improvement over time.
๐ฒ cloudcostchefs.com
๐จ๐ณ ECOR (Effective Cost Optimization Rate) solves this: Rate optimization + Usage optimization = Single truth.
Example: $1M spend โ $200K RI savings + $150K rightsizing = 35% ECOR. One number. Clear impact.
๐งฎ FinOps Metrics Explained: ECOR is the unified metric 2025 needed.
The problem? Teams report "30% savings from RIs" and "20% waste reduction from rightsizing" separately. Executives don't know the REAL efficiency number.
๐จ๐ณ Chef's rule: Automate the optimization. Let humans focus on strategy.
๐ฒ cloudcostchefs.com
#FinOps #CloudCostChefs #Automation #CostOptimization
Densify uses ML to rightsize everything - instances, containers, Kubernetes. Analyzes workload demand 24/7, recommends exact resource specs engineers trust.
๐ฐ Combined result? Organizations hitting 40%+ savings without the spreadsheet gymnastics.
๐ฅ FinOps Optimization Recipe: Why manual FinOps is dead in 2025.
ProsperOps takes FULL control of discount instrument purchasing - adjusts commitments dynamically based on usage patterns. Thousands of actions per month. Zero human intervention.
๐ก Pro tip: Start with automated cost allocation tags. One line of Terraform = budget salvation.
๐ฒ cloudcostchefs.com
#FinOps #CloudCostChefs #CostOptimization #CloudCosts
๐ณ FinOps as Code is the $120B opportunity McKinsey just validated.
Think of it like automating your mise en place: cost tagging, resource cleanup, dev environment shutdowns โ all embedded in your CI/CD pipeline.
๐ธ Result? Eliminate 28% cloud waste without lifting a finger.
๐จ๐ณ Chef's Rule: Results speak louder than PowerPoints. Start with one quick win, prove the ROI, then scale.
๐ก Your move: Pick ONE cost leak this week. Fix it. Measure it. Share the win.
๐ฒ cloudcostchefs.com
#FinOps #CloudCostChefs #CostOptimization #CloudCosts
๐ธ FinOps Fundamentals: Show Me The Money Edition
WPP (the advertising giant) deployed FinOps and saved $2 MILLION in 3 months. Then scaled it to 30% annual cost reduction on their entire cloud spend.
๐จ๐ณ GPUs are the truffle oil of cloud computing - expensive and often wasted.
14% of compute costs in 2025. Most teams run them at 20-30% utilization ๐ธ
The fix? Monitor like inventory, right-size your instances, use spot for 70% savings.
๐ฒ cloudcostchefs.com
#FinOps #CloudCostChefs #GPUCosts
Like buying name-brand olive oil when the store brand tastes identical. ๐ณ๐ฐ
The "expensive = better" mindset costs your team $156K/year. Time to break it.
#FinOps #CloudCostChefs #ChefTips #AIcosts
๐ฒ cloudcostchefs.com
๐จ๐ณ FinOps Psychology 101: Why do teams overpay for AI models?
Cost anchoring bias. Claude & GPT set the high anchor at $3-15/M tokens. Your brain locked onto "that's the market rate."
Then Mistral arrives: $0.4/$2 per M tokens. Delivers 90% of the performance at 1/8th the cost.
Chef's Law #12: Why do teams overprovision? "Just in case" thinking. ๐ง Humans fear scarcity. We buy too much to feel safe. Same in cloud: 4 instances "just in case" costs 60% more than needed. The psychology of overprovisioningโand how to fix it. #FinOps
๐ฒ cloudcostchefs.com
Friday 5pm: "I'll just leave this dev VM running for a quick test Monday morning" ๐จ๐ณ
Monday 9am AWS bill: *Chef's Nightmare Unlocked* ๐ฑ๐ธ
That "quick test" just cost you $150 in idle compute. Always. Turn. Off. The. Stove. ๐ฅ
๐ฒ cloudcostchefs.com
#FinOps #CloudCostChefs #ChefFails
Amazon Brine ๐ณ
Your S3 data doesn't need Standard storage foreverโmove it to Glacier after 30 days like a slow-brine marinade.
๐ก Lifecycle policies = automated prep. Set once, save forever ๐ฐ
๐ฒ cloudcostchefs.com
#FinOps #CloudCostChefs
Chef's Kitchen Rule #47: Prep Once, Reuse All Day ๐จ๐ณ
Claude's prompt caching = 90% cost savings + 80% faster response. Cache your system prompts, docs, codebase context for 1 hour. Cache hits cost 10% of normal price.
๐ก Start with your longest prompts first ๐ฐ
๐ฒ cloudcostchefs.com
#FinOps #Prompt
Unit Cost Explained
Unit Cost = the chef's favorite metric. How much does it cost to serve one customer? One transaction? One API request? Get this right, and you know your business. Measure it weekly, optimize relentlessly. This is FinOps gold. ๐ฒ
#FinOps
Auto-Shutdown Soufflรฉ
Recipe of the Week: Auto-Shutdown Soufflรฉ. Ingredients: Dev/test VMs, Azure Automation or EC2 Scheduler. Prep: 10 minutes. Result: 60-70% savings on non-prod infrastructure. Rises beautifully when your bill drops. ๐ฒ
#FinOps #ChefTips
๐ฅ Stop chasing untagged Azure resources!
Let the Azure Auto-Tagging Function do it for you โ real-time, event-driven, zero manual effort.
๐ cloudcostchefs.com/docs/tools/azure-auto-tagging-function
#Azure #FinOps #Automation #PowerShell
FinOps Waste Reduction โ๏ธ
In every professional kitchen, you minimize waste before you perfect recipes. Same rule applies to cloud costs in 2025.
๐ก Waste reduction (idle resources, zombie snapshots) became the #1 FinOps priority โ overtaking optimization.
#FinOps #CloudCostChefs #WasteReduction
AI-powered FinOps โ your kitchen's new sous chef ๐จ๐ณ
Let machine learning predict cost spikes before they burn your budget. Smart automation spots waste you'd miss manually.
๐ฒ Dive into the full recipe at cloudcostchefs.com
#FinOps #CloudCostChefs #ChefTips
Post your choice โ accountability makes execution more likely.
#CloudCostChefs #SundayPrep #CloudOptimization
Sunday Prep: Declare One Cloud Clean-Up Target for the Week ๐ ๏ธ
Pick one target:
โข Run the Shadow Waste Assessment tool and act on it.
โข Evaluate or pilot a new FinOps tool.
โข Clean up multi-cloud cost visibility or data transfer structure.
โข Map cloud resource-carbon links and track them.
Chef Tip: Big savings start from one โahaโ moment.
โ Which insight from this week will you act on next?
#CloudCostChefs #ReflectionSaturday #FinOps
Reflection Saturday: What Insight Changed How You See Your Cloud Bill This Week? ๐ช๐
Maybe it was the $44.5B waste stat, a new tool discovery, or that multi-cloud leak you spotted. Whatever it was โ share it and letโs reflect together.
๐ Quick Win: One team redistributed workloads, reduced noisy-neighbor interference, improved performance and lowered cost.
Chef Tip: Let your workloads breathe โ donโt jam the kitchen.
โ Which workload in your cloud feels โstuck in the crowdโ?
#CloudCostChefs #KitchenRule #FinOps
Cloud FinOps Recipe:
โ - Monitor host/cluster utilization and workload performance.
โ - Limit the number of distinct apps/services per compute cluster.
โ - Move low-impact tasks off to cheaper nodes or containerized servers.
โ - Use autoscaling to avoid peaks and over-commitment.