PostgreSQL is increasingly favored for Kubernetes workloads, now powering 36% of such databases. Azure offers two deployment options for PostgreSQL on AKS: local NVMe for high performance and Premium SSD v2 for optimized cost-performance, enhanced by the CloudNativePG operator for high availability. These innovations simplify the management of stateful applications, making Azure a robust platform for data-intensive workloads.

A method for restoring a deleted container image from an Azure Container Registry using a running pod on an Azure Kubernetes Service node is presented. By utilizing the Azure CLI and containerd commands, users can retrieve the necessary image even when SSH access is disabled. The process involves checking for the image on the node and subsequently pushing it back to the registry.

Azure Kubernetes Service (AKS) networking involves understanding various network topologies and models, such as Kubenet and Azure CNI, to ensure efficient and secure connectivity for containerized applications. The article provides a comprehensive guide on different networking options, best practices, and real-world scenarios, emphasizing the importance of proper IP management and cluster configurations. It also highlights the transition from Kubenet to Azure CNI due to upcoming changes in service support.

Azure offers three distinct containerisation services: Azure Kubernetes Service (AKS) for complex workloads requiring Kubernetes control, Azure App Service for straightforward web apps and APIs with minimal management, and Azure Container Apps for serverless, event-driven microservices. Choosing the right service depends on the specific needs of the workload, team expertise, and desired level of control. New cloud-native projects often benefit from starting with Container Apps for its balance of simplicity and power.

Microsoft has introduced container network logs in the public preview of Advanced Container Networking Services for Azure Kubernetes Service, providing detailed insights into network traffic. This feature enhances troubleshooting, security enforcement, and operational efficiency by monitoring various traffic layers and offering two modes of log storage. Users can visualize logs through Azure managed Grafana dashboards for better analysis and monitoring.

KubeForenSys is a Python tool designed to collect data from Kubernetes clusters, particularly Azure Kubernetes Service, and send it to Azure Log Analytics for post-compromise analysis. It gathers various data types such as pod logs, Kubernetes events, command histories, and suspicious pod detections, while also automating the provisioning of necessary Azure resources. Users can customize the data collection parameters and ensure proper access and configurations for effective operation.