InfoMagnus’ Post

An awesome session that explains what 'platform engineering' looks like. #eks #platformengineering #aws #awscloud #kubernetes

Just published a new Knowledge center article exploring Topology Aware Hints in EKS. With this, dive into how TAH works in Kubernetes. Check it out Link: https://lnkd.in/eix6QwrY #aws  #kubernetes  #containers  #devops #eks

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

Amazon EKS Blueprints for terraform is now available for "how to provision an EKS cluster with Istio" https://lnkd.in/gJYrH94J #awscloud #devops #kubernetes #amazoneks #terraform

Karpenter is an open-source, flexible, high-performance Kubernetes cluster autoscaler built with AWS. It helps improve your application availability and cluster efficiency by rapidly launching right-sized compute resources in response to changing application load. Karpenter and Cluster Autoscaler are both tools used to manage the scaling of nodes in Kubernetes clusters. Still, they are designed with different approaches that affect their performance and scaling speed. Here is my medium article to give you an overview of why Choose Karpenter Over Cluster Auto Scaler. #karpenter #clusterautoscaler #kubernetes #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/Q02Gm2Kr0 #k8s #kubernetes #sre #aws #devops

Although ML models get all the love and attention, a model on its own is not something that generates value. For an ML model to become an ML solution, it needs to be deployed into the real world (i.e., where value comes from). 👉 In my latest YouTube video, I describe a simple 3-step strategy for deploying ML models so they can readily be integrated into web applications. Here's the 3-step strategy 👇 1) Wrap model in API via FastAPI 2) Containerize the API using Docker 3) Deploy the Docker image using AWS Elastic Container Service Check it out and let me know what you think 😁 https://lnkd.in/gmhPpYZS

Serverless Load Generator using Distributed Map: https://lnkd.in/dHwA7Css #aws #serverless #loadtesting #stepfunctions

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

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