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
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🚀 Day 17/40 of #40DaysOfKubernetes! 🌐 Today, I dove into Kubernetes Autoscaling and explored the differences between Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA): 🔹 HPA: Automatically scales the number of pods based on CPU, memory, or custom metrics. Perfect for applications with variable traffic to ensure scalability and load distribution. 🔹 VPA: Adjusts CPU and memory requests for containers to match actual usage, optimizing resource allocation and reducing manual intervention. 💡 Benefits: Efficient and cost-effective scaling. Enhanced stability by preventing resource bottlenecks. Flexibility with custom and external metrics for tailored scaling. For more detail check out my article here 👉: https://lnkd.in/exD3gBKN 🙏 Thanks to Piyush sachdeva and The CloudOps Community for the continuous support! #Kubernetes #DevOps
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Software Engineer @feedbank | Full Stack Developer | DevOps Engineer | Technical Support Engineer | Product Manager | Proficient in React.js, Next.js, Node.js, and Automation Testing
🌟 75-Day DevOps Challenge: Week 5 - Advanced Orchestration, Multi-Cloud, and Security 🌟 🚀 Day 29: Advanced Kubernetes - Horizontal Pod Autoscaling (HPA) Let’s scale our applications dynamically with Horizontal Pod Autoscaling (HPA) in Kubernetes, which automatically adjusts the number of pod replicas based on CPU or memory usage. 🔸 Goal: Set up HPA for a deployed application in your Kubernetes cluster. 🔸 Challenge: Test the autoscaling by simulating high traffic loads and observe how pods scale. #KubernetesAutoscaling #HPA #CloudDevOps #DevOpsJourney #75DayChallenge
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An insightful presentation by Jack Francis on the future of Kubernetes autoscaling. The talk unveiled significant developments in the ecosystem: 🔄 Multi-dimensional pod autoscaler combining HPA and VPA capabilities 🎮 Enhanced GPU workload management with new device resource APIs 🚀 Karpenter reaching V1 milestone with expanded provider support Key takeaways include improved release processes, better test coverage, and innovative approaches to resource management. The integration of multiple autoscaling technologies promises more efficient cluster operations, especially for GPU-intensive workloads. Kudos to Jack and the entire SIG Autoscaling team for their continued work on making Kubernetes scaling more robust! #Kubernetes #CloudNative #DevOps #TechTalks #Engineering
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Seeking ways to enhance your OpenShift Operations? Explore the top 5 methods to boost your cluster performance. #Kubernetes #OpenShift #RedHat #Crossvale Check it out here: https://hubs.ly/Q02C6CNK0 https://hubs.ly/Q02C6CNK0 #Kubernetes #OpenShift #RedHat #Crossvale
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Seeking ways to enhance your OpenShift Operations? Explore the top 5 methods to boost your cluster performance. #Kubernetes #OpenShift #RedHat #Crossvale Check it out here: https://hubs.ly/Q02FdCw_0 https://hubs.ly/Q02FdCw_0 #Kubernetes #OpenShift #RedHat #Crossvale
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Seeking ways to enhance your OpenShift Operations? Explore the top 5 methods to boost your cluster performance. #Kubernetes #OpenShift #RedHat #Crossvale Check it out here: https://hubs.ly/Q02Fdx_F0 https://hubs.ly/Q02Fdx_F0 #Kubernetes #OpenShift #RedHat #Crossvale
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Seeking ways to enhance your OpenShift Operations? Explore the top 5 methods to boost your cluster performance. #Kubernetes #OpenShift #RedHat #Crossvale Check it out here: https://hubs.ly/Q02C699t0 https://hubs.ly/Q02C699t0 #Kubernetes #OpenShift #RedHat #Crossvale
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Seeking ways to enhance your OpenShift Operations? Explore the top 5 methods to boost your cluster performance. #Kubernetes #OpenShift #RedHat #Crossvale Check it out here: https://hubs.ly/Q02C66x_0 https://hubs.ly/Q02C66x_0 #Kubernetes #OpenShift #RedHat #Crossvale
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Data Engineer at Mercedes-Benz Research & Development India | Python Developer | MySql | linux | Kubernetes | Docker | PysPark | hadoop | Azure Databricks | Azure Data Factory | Data Pipelines | Data Warehouse
🚀 🚀🚀🚀Scaling your Kubernetes applications effectively is crucial for performance and cost efficiency. Here are some key strategies to consider:🚀🚀🚀🚀 1. Horizontal Pod Autoscaling (HPA): Automatically adjusts the number of pods based on CPU/memory usage. 2. Vertical Pod Autoscaling (VPA): Optimizes resource requests for existing pods to ensure efficient resource utilization. 3. Cluster Autoscaler: Dynamically adjusts the size of your Kubernetes cluster based on workload demands. 4. Custom Metrics: Use Prometheus or other monitoring tools to scale based on application-specific metrics.... Ultimately, a combination of these strategies can help you manage resources efficiently and ensure optimal performance. #Kubernetes #ScalingStrategies #DevOps #CloudComputing #Microservices
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Seeking ways to enhance your OpenShift Operations? Explore the top 5 methods to boost your cluster performance. #Kubernetes #OpenShift #RedHat #Crossvale Check it out here: https://hubs.ly/Q02C63Xj0 https://hubs.ly/Q02C63Xj0 #Kubernetes #OpenShift #RedHat #Crossvale
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