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Understanding CNAPP and the Market Shift Towards It

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.

Cloud Investigation and Response Automation (CIRA) - CIRA vs CDR

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.

Service Control Policies (SCPs) in AWS offer a robust mechanism for preserving security standards, which is essential for compliance and averting security breaches.

Amazon Managed Streaming for Apache Kafka (MSK) is a fully managed service that makes it easy to build and run applications that use Apache Kafka to process streaming data. Although MSK simplifies the setup and management of Apache Kafka clusters, it's essential to optimize costs to make the most of the service. This article outlines some best practices for optimizing Amazon MSK costs without compromising performance or reliability.

Deploying Sysdig Falco on an Amazon EKS (Elastic Kubernetes Service) cluster

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.

Breaking down the CTEM (Continuous Threat Exposure Management)

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.