Running LLM workloads at scale could be complex🤯, but Kubernetes & #Ray make it easier, efficient & reliable😇 Join Sudhanshu P. at #CloudAIProMeetup by Cloud Native Gurugram as he shows how to run LLMs workloads on #Kubernetes☸️ RSVP here👇 https://lnkd.in/dYfpsyGJ
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Why are we getting so much cost and latency on cloud platforms ? Many companies are struggling with price to performance ratio. Hats off to Subhash Choudhary .. one of the best guys I have ever seen, he made us know how we are over spending and not getting up to the mark performance in many production grade applications. The best part of this which I liked is how he managed failover from on-prem to cloud platform is mind blowing. I know it's a long video Go Grab a cup of coffee and finish it in a single go, A lot to learn. #devops #Aws #Kubernetes #Cloud #Azure #100DaysOfDevOps https://lnkd.in/gur6Mfui
How Dukaan moved out of Cloud and on to Bare Metal w/ Subhash | Ep 5
https://www.youtube.com/
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KubeCon is a great place to learn about the latest in Kubernetes, but don't forget about Google Cloud's leadership in container orchestration and managed Kubernetes offerings. See you in Salt Lake City! #kubernetes #cloudnative #googlecloud #anthos #gke #this_post_was_generated_with_ai_assistance #responsibleai https://kubecon.io
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Corby Page and I join up to demonstrate the new #TanzuPlatform in action, highlighting running the same application in both #CloudFoundry and #Kubernetes. Say goodbye to choosing between runtimes! Now, you can deploy on both platforms with a very common feel. If you are a Cloud Foundry customer interested in Kubernetes, you will want to check this out to see how your muscle memory in Cloud Foundry translates to a K8S environment. https://lnkd.in/gK9xFbJE
Can Cloud Foundry and Kubernetes Get Along? (A Tanzu Platform Tale)
https://www.youtube.com/
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Is your Kubernetes cluster constantly swinging between resource overload and underutilization? HPA and VPA are trying to help, but they're not always the best fit. 🤔 🙂 Slide 5️⃣ reveals the solution to optimizing your cluster's performance. To learn more, visit us: https://www.nudgebee.com/ ✅ Follow: nudgebee Rakesh Rajendran | Shiv Pratap Singh | #Kubernetes #Optimization #Troubleshooting #Automation #HPA #VPA #ResourceManagement #Cloud #Nudgebee
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Cloud Foundry Weekly: Exploring enterprise RAG applications with GenAI for TAS: ...
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Sometimes there's no argument! Migrating your workload from a PaaS like Heroku to an IaaS like AWS can cost 15 times more, or even higher for larger workloads. AI is transforming the world! Check out our AI agent at migrate.qovery.com.
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RMNDR to catch today's Cloud Native Computing Foundation (CNCF) on-demand webinar! Our dev advocates Thorsten Hans & Sohan Maheshwar will be explaining how to run #Serverless #WebAssembly workloads on Azure #Kubernetes Service (AKS) using SpinKube. Check out the details here : https://bit.ly/3QTyCnE
CNCF On demand webinar: Integrating serverless WebAssembly with SpinKube and cloud services | CNCF
community.cncf.io
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Is Kubernetes under-utilization driving up your cloud costs? Learn how Platform9’s Elastic Machine Pool (EMP) maximizes resource utilization and slashes Amazon #EKS expenses by 50%. In this live demo, discover how EMP's innovative techniques such as live migration and resource rebalancing transform #Kubernetes efficiency. 📅 Date: October 9 ⏰ Time: 11 AM PDT Register: https://bit.ly/4gN1oSc #ElasticMachinePool #CloudCostOptimization #KubernetesFinOps #CloudEfficiency Madhura Maskasky Chris Paap
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In this post, we will walk you through deploying containerized, serverless Streamlit applications automatically via HashiCorp Terraform, an Infrastructure as Code (IaC) tool that enables users to define and provision infrastructure across cloud platforms. https://lnkd.in/gmYrQXwr #AWS #AmazonWebServices #AWSBlogs #Cloud #CloudComputing #GenAI #BedRock #MachineLearning #Serverless
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Managing helm charts in Kubernetes clusters, understanding version upgrades and enabling engineers to set them up locally is important for stability and execution speed in engineering -- hours can be wasted in process to learn what all configs are needed for each chart. With Gravity Cloud, you can install the popular Helm charts such as ArgoCD, Grafana Labs, Portkey and more in both your local(minikube, k3s) and cloud clusters(EKS) and check the events, health, versions and more with just a few clicks. Currently working to add more open-source products -- DM if you are building one and would love to add the support :) #kubernetes #helm #gravitycloud
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