At Stream.Security, we believe the foundation of robust Cloud Detection and Response (CDR) lies in real-time visibility across your entire multi-cloud environment. That’s why our unique approach starts with an agentless methodology, creating a real-time model of your cloud infrastructure to provide immediate insights into attacks at the network, identity, and application log layers.

IAM roles for service accounts provide a secure and efficient way to manage access to cloud resources in a cloud environment. By assigning roles to service accounts instead of individual users, organizations can improve their security posture by minimizing the risk of human error or credential misuse.

IAM plays a crucial role in securing access to resources in an AWS EKS cluster, therefor it’s important to have a strong understanding of IAM (Identity and Access Management) to effectively troubleshoot any issues that may arise.

When deploying workloads to EKS, it is important to ensure that appropriate access control is in place to protect resources and data. This is where IAM roles and policies come into play. IAM roles and policies in Amazon EKS are used to define and manage permissions for Kubernetes resources running in an EKS cluster. IAM roles are used to grant access to AWS resources and services, while Kubernetes policies are used to grant access to Kubernetes resources.

The Cluster Autoscaler in Kubernetes is a component that dynamically resizes the cluster according to the workload. In Amazon Elastic Kubernetes Service (EKS), the Cluster Autoscaler optimizes resource utilization and cost by scaling down nodes during periods of low demand and scaling up when demand increases.