PerfectScale’s Post

Are your clusters in better shape than the industry standard? - Only 17% of clusters use Cluster Autoscaler, while Karpetner is found in 75% of AWS-based clusters - Over 50% of every dollar spent on Kubernetes is waste due to over-provisioning - Over 25% of workloads are at risk of performance issues caused by under-provisioning or misconfigurations. Get the exclusive report—with a year's worth of data that illuminates key trends and metrics crucial for navigating today's dynamic technological landscape. https://hubs.la/Q02Gm2Kr0 #k8s #kubernetes #sre #aws #devops

Are your clusters in better shape than the industry standard? - Only 17% of clusters use Cluster Autoscaler, while Karpetner is found in 75% of AWS-based clusters - Over 50% of every dollar spent on Kubernetes is waste due to over-provisioning - Over 25% of workloads are at risk of performance issues caused by under-provisioning or misconfigurations. Get the exclusive report—with a year's worth of data that illuminates key trends and metrics crucial for navigating today's dynamic technological landscape. https://hubs.la/Q02GlPlz0 #k8s #kubernetes #sre #aws #devops

Are your clusters in better shape than the industry standard? - Only 17% of clusters use Cluster Autoscaler, while Karpetner is found in 75% of AWS-based clusters - Over 50% of every dollar spent on Kubernetes is waste due to over-provisioning - Over 25% of workloads are at risk of performance issues caused by under-provisioning or misconfigurations. Get the exclusive report—with a year's worth of data that illuminates key trends and metrics crucial for navigating today's dynamic technological landscape. https://hubs.la/Q02GlPly0 #k8s #kubernetes #sre #aws #devops

Are your clusters in better shape than the industry standard? - Only 17% of clusters use Cluster Autoscaler, while Karpetner is found in 75% of AWS-based clusters - Over 50% of every dollar spent on Kubernetes is waste due to over-provisioning - Over 25% of workloads are at risk of performance issues caused by under-provisioning or misconfigurations. Get the exclusive report—with a year's worth of data that illuminates key trends and metrics crucial for navigating today's dynamic technological landscape. https://hubs.la/Q02GlWj60 #k8s #kubernetes #sre #aws #devops

Under-provisioning & over-provisioning are 2 sides of the #kubernetes problem coin - Under-provisioning leads to degradation, instability & even service downtimes - Over-Provisioning leads to wastage (could be thousands or in millions of $, may be more than that) Get the exclusive report—with a year's worth of data that illuminates key trends and metrics crucial for navigating today's dynamic technological landscape. https://hubs.la/Q02Gm2Kr0 #k8s #kubernetes #sre #aws #devops #resiliency #costoptimization #rightsizing #automation

During this hands-on workshop, our experts will guide you through best practices for optimizing your Kubernetes clusters, leveraging the power of PerfectScale. You'll learn how to: - Identify and safely remove wasted resources - Pinpoint and remediate issues causing latency and downtime - Evaluate the efficiency of your autoscalers - Select the most cost-effective node types based on real-time data https://hubs.la/Q02WgzFt0 #k8s #devops #kubernetes #aws #sre

Exclusive Report | The State of Kubernetes Efficiency: An Insider’s Look Get the exclusive report—with a year's worth of data that illuminates key trends and metrics crucial for navigating today's dynamic technological landscape. https://hubs.la/Q02Gmgf70 #k8s #kubernetes #sre #aws #devops

Exclusive Report | The State of Kubernetes Efficiency: An Insider’s Look Get the exclusive report—with a year's worth of data that illuminates key trends and metrics crucial for navigating today's dynamic technological landscape. https://hubs.la/Q02Gm5cs0 #k8s #kubernetes #sre #aws #devops

🚀 Streamline Your AWS Lambda Development with CloudWatch 🚀 AWS just made it easier to monitor and optimize Lambda functions! With CloudWatch Logs Live Tail and Metrics Insights, developers can now gain real-time insights and make data-driven decisions faster than ever. 📈💻 These features allow you to watch logs in real-time and analyze metrics right within CloudWatch, enhancing observability and making troubleshooting a breeze. Say goodbye to time-consuming log searches and hello to faster debugging! Read more about these new capabilities: 🔗 AWS Blog https://lnkd.in/e9DqT_MZ #AWS #Lambda #CloudWatch #DevOps #Observability #CloudComputing #Serverless

This report analyzes the significant data collected, providing insights into cost optimization and performance metrics. To highlight a few: - Cluster Autoscaler is in 17% of clusters, while Karpenter is in 75% of AWS-based clusters. - Over 50% of Kubernetes spending is wasted due to over-provisioning. - Despite this, 25% of workloads risk performance issues from under-provisioning or misconfigurations. Download report now! https://hubs.la/Q02Gm4dM0 #k8s #kubernetes #sre #aws #devops