QLoop Technologies
@qlooptech
We help companies cut AI costs ⚡ and scale GenAI systems 🚀. Expertise: RAG, LLMs, FinOps, Performance Engineering. 🔗 https://qloop.tech
Engineers don’t “fix” cloud costs — they maintain uptime. Visibility ≠ context. Context ≠ ownership. We broke down why cloud waste keeps creeping in despite dashboards full of metrics 👇 qloop.tech/blog/why-your-… #DevOps #FinOps #CloudOps #AWS #Azure #Infrastructure
💸 Cloud waste isn’t an engineering problem — it’s an alignment problem. Your DevOps team can’t fix what the org doesn’t see. Here’s why 👇 qloop.tech/blog/why-your-… #FinOps #CloudComputing #AWS #Azure #DevOps #CloudOptimization
Smarter cloud cost control: keep, downsize, or delete — all backed by data-driven confidence. 💡 👉 cloudsweeper.io
Discover ghost resources across clouds, stop budget waste. cloudsweeper.io
1/5 Managing AWS costs at scale? You’re not alone. Idle resources bleed budget every hour. Enter CloudSweeper — a FinOps agent built to detect idle AWS resources and surface cost leaks. 🔗 cloudsweeper.io
Hey @AzureSupport, it’s been 4 days since I submitted my support ticket (Tracking ID: 2510070030007123). I’d appreciate an update or response at your earliest convenience.
In AWS, wasted cost often hides in idle EC2s, orphan EBS volumes, unassociated IPs. CloudSweeper helps spot & tag those automatically — giving you insights before breaking the bank. 🔗 cloudsweeper.io #AWS #CloudCost #FinOps
Whether you’re on AWS or Azure CloudSweeper helps you take control of your cloud bills. Start optimizing today 👉 cloudsweeper.io #FinOps #CloudOptimization #SaaS #CloudEngineering #DevOps
AWS EC2 instances family cheatsheet Save for Later✅
Inference tokens are just the tip of the AI bill. Embeddings + vector DBs can cost more. Our FinOps playbook covers hybrid inference, embedding compression & vector lifecycle mgmt. Guide 👇 qloop.tech/blog/finops-ge… #FinOps #GenAI #RAG @Qdrant_engine @LangChainAI
Your Next.js app loads in 3s? You’re losing revenue. Case study: ⏱ LCP: 4.1s → 1.2s 📦 Bundle: 2.1MB → 890KB 🟢 Lighthouse: 100 Our playbook for sub-second apps 👇 qloop.tech/blog/next-js-1… #Nextjs #WebPerf @vercel
LLMs are powerful, but they can burn $25K/month fast. How we cut costs by 66%: ✅ Model right-sizing ✅ Multi-layer caching ✅ Batch processing ✅ Smart scaling Guide 👇 qloop.tech/blog/how-to-cu… #LLM #FinOps #GenAI @OpenAI
Prototyping a RAG system is easy. Scaling one to 10M+ queries/month? Not so much. Our playbook covers chunking, hybrid retrieval, vector DB tuning & monitoring. Full guide 👇 qloop.tech/blog/how-to-bu… #RAG #LLM @LangChainAI @Qdrant_engine
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