Happy Saturday to all the #cloudcomputing gurus. 💙💙 Wanted to share some new info. Love the feedback and interest. ⎈ 🤖 CAST AI Features | 𝙎𝙩𝙤𝙧𝙖𝙜𝙚 𝘾𝙤𝙨𝙩 ✅ 𝐂𝐏𝐔 ✅ 𝐌𝐞𝐦𝐨𝐫𝐲 ✅ 𝐆𝐏𝐔 🥳 𝐒𝐭𝐨𝐫𝐚𝐠𝐞 Storage costs can be a significant component of overall Kubernetes cluster expenses. CAST AI's storage cost monitoring helps you: 💾 Track and visualize storage provisioning, requested capacity, and costs across your clusters. 💾 Identify storage over-provisioning and optimization opportunities. 💾 Break down storage costs by cluster, namespace, and workload. CAST AI provides visibility into storage costs as part of its comprehensive cost-monitoring capabilities for Kubernetes clusters. This dimension lets you track and analyze the costs associated with persistent volumes (PVs) and ephemeral storage in your clusters. 📑 Documentation 👇 https://lnkd.in/dT9Qew5Q Thank you Robertas Bukantis 😉 #Kubernetes #AutonomousKubernetes #k8s #Devops #FinOps #GenAI Microsoft Azure #AKS Amazon Web Services (AWS) #EKS Google #GKE #ai #aiautomation #costoptimization #CloudWaste #CloudAutomation #CloudNative #Cloud #kubernetes #LargeLanguageModels #LLM #GPU #InfrastructureAsCode
Antuan Frayman 🇺🇦’s Post
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☕️ 🥐 🗞️ SiliconANGLE & theCUBE | "𝘊𝘢𝘴𝘵 𝘈𝘐 𝘪𝘯𝘵𝘳𝘰𝘥𝘶𝘤𝘦𝘴 𝘈𝘐 𝘌𝘯𝘢𝘣𝘭𝘦𝘳 𝘢𝘯𝘥 𝘻𝘦𝘳𝘰-𝘥𝘰𝘸𝘯𝘵𝘪𝘮𝘦 𝘭𝘪𝘷𝘦 𝘮𝘪𝘨𝘳𝘢𝘵𝘪𝘰𝘯 𝘧𝘰𝘳 𝘒𝘶𝘣𝘦𝘳𝘯𝘦𝘵𝘦𝘴 𝘸𝘰𝘳𝘬𝘭𝘰𝘢𝘥𝘴" Now, with CAST AI’s solution, businesses can undertake uninterrupted migration and optimize infrastructure usage by consolidating workloads into fewer, cost-efficient nodes. Credit : Thank you Duncan Riley https://lnkd.in/dsP3HVcB #Kubernetes #Kubecon #AutonomousKubernetes #AutomationIntelligence #AutomatedKubernetes #k8s #DigitalNative #Devops #DevSecOps #FinOps #GenAI #ai #aiautomation #costoptimization #CloudWaste #CloudAutomation #CloudNative #Cloud #kubernetes #LargeLanguageModels #LLM #GPU #InfrastructureAsCode #KSPM Amazon Web Services (AWS) #EKS Google #GCP #GKE #GCE Microsoft Azure #AKS #ROI
Cast AI introduces AI Enabler and zero-downtime live migration for Kubernetes workloads - SiliconANGLE
siliconangle.com
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Fault Tolerant, Durable, Edge Kubernetes Storage with Azure Container Storage enabled by Azure Arc https://lnkd.in/eQd6xFQX #MSIgnite #Microsoft #Azure #MicrosoftAzure #AzureAdaptiveCloud #AzureArc #Kubernetes
Fault Tolerant, Durable, Edge Kubernetes Storage with Azure Container Storage enabled by Azure Arc | Microsoft Community Hub
techcommunity.microsoft.com
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Mastering Autoscaling in Amazon EKS: Scaling Your Kubernetes Workloads Dynamically #aws #eks #autoscaling #hpa #asg #clusterautoscaler https://lnkd.in/e8zWNxZE
Mastering Autoscaling in Amazon EKS: Scaling Your Kubernetes Workloads Dynamically
harsh05.medium.com
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AWS Systems Manager introduces an enhanced experience with cross-account and cross-region visibility, simplifying node management and troubleshooting, while integrating with Amazon Q Developer for AI-powered insights via Matheus Guimaraes on Amazon Web Services (AWS) https://lnkd.in/eKTF8sau #AWS #awscloud #SystemsManager #CloudManagement #AI
Introducing a new experience for AWS Systems Manager | Amazon Web Services
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Serverless Saves $$! 451 Research reports 35% annual cost reduction with serverless (86% workforce related). Learn how AWS can help #CloudCost #Serverless #AWS #EveryoneSocial https://lnkd.in/dzNx3sjq
AWS
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Optimizing Kubernetes Autoscaling with KEDA: A Complete Guide https://lnkd.in/dd8aJaUB Amazon Web Services (AWS) #aws #awslambda #businesscompassllc
Optimizing Kubernetes Autoscaling with KEDA: A Complete Guide
https://businesscompassllc.com
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I love the 9-box diagram about scenarios where IBM can help clients with AWS GenAI: https://lnkd.in/gRGdb8EY
Maximizing Cloud Value with Generative AI on AWS using IBM Cloud Accelerators | Amazon Web Services
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☁ Cost-Effective Cloud Storage: AWS S3 IA vs Azure Cool Blob - The Ultimate Comparison ☁️ 💡 Key Insights: AWS S3 IA and Azure Cool Blob excel in different scenarios, making each unique for specific business needs. While both offer cost savings for infrequently accessed data, here's what makes them stand out: 📊 AWS S3 IA: - Perfect for unpredictable access patterns - Lower storage costs with slightly higher retrieval fees - 30-day minimum storage duration - 99.9% availability 🌐 Azure Cool Blob: -Ideal for backup and disaster recovery - Optimized for large datasets - 30-day minimum storage duration - 99.9% availability 🎯 Pro Tip: Choose AWS S3 IA if you need faster retrieval speeds and don't mind slightly higher access costs. Opt for Azure Cool Blob if you're looking for better integration with Microsoft services and have predictable access patterns. 💪 As a cloud solutions architect, I've implemented both solutions across various projects. Want to know which solution might work best for your business? Let's connect and discuss your specific needs! 🔹 Share your experiences with these storage solutions in the comments below! What challenges have you faced with cloud storage implementation? 💡 Follow me for more insights on cloud architecture, best practices, and emerging technologies! Best Regards Ratheesh Kumar Certified ☁ Cloud Architect & ⚙ DevOps Expert 📞 +91 94463 30906 📧 [email protected] #CloudComputing #AWS #Azure #DataStorage #CloudArchitecture #TechSolutions #CloudTechnology #Innovation #DigitalTransformation #CloudServices #TechTalk #LinkedInLearning
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Here's an article exploring the concept, its implementation and practical tips for leveraging topology-aware routing within your Kubernetes clusters 🚀 #Kubernetes #DevOps #Cloud
Kubernetes Topology-Aware Routing: A Guide
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☁ Cost-Effective Cloud Storage: AWS S3 IA vs Azure Cool Blob - The Ultimate Comparison ☁️ 💡 Key Insights: AWS S3 IA and Azure Cool Blob excel in different scenarios, making each unique for specific business needs. While both offer cost savings for infrequently accessed data, here's what makes them stand out: 📊 AWS S3 IA: - Perfect for unpredictable access patterns - Lower storage costs with slightly higher retrieval fees - 30-day minimum storage duration - 99.9% availability 🌐 Azure Cool Blob: -Ideal for backup and disaster recovery - Optimized for large datasets - 30-day minimum storage duration - 99.9% availability 🎯 Pro Tip: Choose AWS S3 IA if you need faster retrieval speeds and don't mind slightly higher access costs. Opt for Azure Cool Blob if you're looking for better integration with Microsoft services and have predictable access patterns. 💪 As a cloud solutions architect, I've implemented both solutions across various projects. Want to know which solution might work best for your business? Let's connect and discuss your specific needs! 🔹 Share your experiences with these storage solutions in the comments below! What challenges have you faced with cloud storage implementation? 💡 Follow me for more insights on cloud architecture, best practices, and emerging technologies! Best Regards Ratheesh Kumar Certified ☁ Cloud Architect & ⚙ DevOps Expert 📞 +91 94463 30906 📧 [email protected] #CloudComputing #AWS #Azure #DataStorage #CloudArchitecture #TechSolutions #CloudTechnology #Innovation #DigitalTransformation #CloudServices #TechTalk #LinkedInLearning
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Assistant Vice president Akkidioss
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