nOps

Overprovisioning in Kubernetes (alternatively known as excess capacity, resource waste or underutilization) is a common challenge leading to inflated costs and inefficiencies. Learn how to tackle it with tools like VPA, HPA, Cluster Autoscaler, and Karpenter in our latest blog. #vpa #hpa #karpenter

Managing cloud costs for Databricks workloads? Join nOps and Databricks to discover strategies for analyzing, allocating and optimizing costs in real time — even without perfect tagging! Topics include: 📊 Key challenges with allocating costs 📈 Best practices to streamline cost allocation & reporting 💲 How the nOps + Databricks partnership supports cloud cost optimization Download the webinar here: https://lnkd.in/gFwF58RE James Wilson Ghazaleh Davoudzadeh Sarah Branfman Evan Amereihn ☁️ Fern Halper, Ph.D. nOps Databricks

Introducing early access to the industry's first EKS Auto-Mode compatible cost optimization solution — available January 1, 2025. 💲 60-75% Cost Savings when you combine the power of EKS Auto Mode + nOps ⏳ Offload Cluster Operations freeing engineers’ time 📉 100% of Usage Discounted with commitment management fully baked in 📊 <1% Spot terminations with built-in Karpenter and Spot best practices like instance diversification across AZs and real-time workload reconsideration Register here: https://lnkd.in/e6iQAaty #eksautomode #nops #karpenter

AWS announced EKS Auto mode at re:Invent last week. Here are my first impressions of EKS Auto mode after a few days of playing around with it. Under the hood, Karpenter is critical to powering EKS Auto Mode with dynamic provisioning, scaling and cost-optimization — but the number one ROI is time saved for engineering teams on simplified management overhead. There’s a 12% surcharge, but combining Auto Mode with a cost optimization solution, like nOps (fully compatible with EKS Auto Mode) can offset that fee while maximizing savings. Check out the article for all of my thoughts. https://hubs.la/Q02_Djj20 #eks #FinOps #automode #reinvent #aws

Is EKS Auto Mode worth the hype? Find out our verdict at nOps — plus how Auto Mode pricing works, pros & cons, and how to register for early access to the industry's first EKS Auto Mode-compatible optimization solution. #eksautomode #kubernetes #karpenter #eks

🚨 New webinar alert 🚨 Managing cloud resource spend and efficiency at scale is a top challenge for data-intensive organizations. Find out how to analyze, optimize, and allocate Databricks-related cloud costs in real-time (even without complete tagging) in this webinar sponsored by nOps and Databricks tomorrow: Friday, December 13, 2024 at 9:00 a.m. PST. Topics include: 📊 What are the biggest challenges with allocating costs? 📈 What are best practices for streamlining cloud cost allocation and reporting? 💲 How does the nOps and Databricks partnership support cloud cost optimization? Register for Cloud Cost Optimization with FinOps: Strategies for Efficient and Accountable Cloud Spending here: https://lnkd.in/gWRr2NUZ #nops #databricks #costallocation #webinar James Wilson Ghazaleh Davoudzadeh Chintu Parikh Sarah Branfman Evan Amereihn ☁️ Fern Halper, Ph.D.

🎉 It was an incredible week at AWS re:Invent! We loved connecting with our amazing customers and partners while meeting so many incredible new faces. Thank you for making this week unforgettable! 💙 The energy was amazing, with inspiring discussions and game-changing announcements like: ✨ Amazon Nova Models – Generative AI for advanced content creation 🤖 Project Rainier – An AI supercomputer powered by AWS Trainium 2 chips ⚡ Tranium3 chips – AI chips with 1000W of power and liquid cooling Check out the full recap of AWS key announcements here: https://lnkd.in/e77YVdVe Already counting down to #reInvent2025 — don’t hesitate to reach out if you’d like to continue the conversation! JT Giri James Wilson Shouri Thallam Ghazaleh Davoudzadeh Chintu Parikh Kaleb Carmack Eva Szyca Matthew A. Adrian Renne Jessica Abrams Mostafa Alfakharany Evan Amereihn ☁️ Jordan P. H. Stein Karim Sammouda

Are you using Karpenter or considering adopting it? Join nOps at #reInvent booth 236 to find out how to supercharge your Karpenter and enter our daily raffle to win amazing LEGO sets! https://lnkd.in/gadmRk87 JT Giri James Wilson Shouri Thallam Ghazaleh Davoudzadeh Chintu Parikh Kaleb Carmack  Eva Szyca Matthew A. Eric Galvin Adrian Renne Jessica Abrams

nOps is on the floor at Amazon Web Services (AWS) #reinvent2024, and we can't wait to meet up with you! Don't miss the chance to join us at booth 236 to talk cloud cost optimization. JT Giri James Wilson Shouri Thallam Ghazaleh Davoudzadeh Chintu Parikh Kaleb Carmack  Eva Szyca Matthew A. Eric Galvin Adrian Renne Jessica Abrams

James, VP of Engineering & Product Development Leader at nOps, explains a systematic approach to reducing Kubernetes costs. While the ideal scenario starts with optimizing at the container level followed by infrastructure utilization, James recommends prioritizing based on impact. For most organizations, he suggests focusing on quick wins like moving workloads to Spot instances rather than attempting lower-level architectural changes. The key is to make optimization a continuous process and always start with visibility into your infrastructure. Watch the full interview: https://ku.bz/xkx3gGmlT This interview is a reaction to Miguel and Thibault's episode https://ku.bz/_k-Y1jgFS