DevOpsDreams

FinOps for Kubernetes Workloads on AWS As Kubernetes workloads become increasingly complex, FinOps teams face new challenges in securing and optimizing their cloud-native environments. In this article, we'll explore best practices for FinOps on Kubernetes workloads on AWS, including workload identity management, self-serve analytics, and super app monetization strategies. TL;DR Workload identity management is critical for securing Kubernetes workloads on AWS. Self-serve analytics tools like Row Zero can help teams optimize their cloud-native environments. Super app monetization strategies can help teams turn everyday interactions into recurring revenue. AWS Controllers for Kubernetes (ACK) can simplify the integration of AWS services with Kubernetes applications. OperatorHub.io can help teams visualize and manage ClusterServiceVersions (CSVs) for ACK. Workload Identity Management As workloads become more complex, authenticating and authorizing them becomes...

Private Amazon EKS Clusters and Ingress Patterns In this article, we'll explore the intricacies of private Amazon EKS clusters and ingress patterns, providing practical guidance on designing resilient multi-cluster applications. TL;DR Private EKS clusters are ideal for sensitive workloads, but require careful consideration of ingress patterns. Understanding ingress patterns is crucial for cost control, as traffic within the same AZ is generally free, while cross-AZ and inter-region traffic incurs data transfer charges. We'll discuss common pitfalls to avoid when designing private EKS clusters and ingress patterns. We'll explore the importance of using the AWS Load Balancer Controller and Application Load Balancer ingress for your EKS applications. We'll provide a checklist for setting up private EKS clusters and ingress patterns. Designing Resilient Multi-Cluster Applications When designing resilient multi-cluster applications, it's essentia...