aws/containers-roadmap

Features

• Cloud Container Roadmaps - Provides a public tracking document for upcoming features and development priorities for EKS, ECS, ECR, and Fargate.
• AWS Orchestration Patterns - Provides comprehensive strategic roadmaps for managing application deployments using Amazon ECS and EKS.
• Automatic Compute Scaling - Outlines strategies for dynamically adjusting compute instances based on performance metrics to optimize cost and availability.
• Container Orchestration Guides - Provides a strategic overview of resource provisioning, workload scaling, and deployment patterns for containerized applications on AWS.
• Cloud Infrastructure Scaling - Details tools and strategies for programmatically adjusting compute capacity and task counts to match resource demand.
• Infrastructure Provisioning Tools - Details tools for automating the deployment and management of scalable infrastructure stacks.
• Container Image Registries - Includes strategic guides for managing container image registries to maintain a consistent source of truth for deployments.
• Container Orchestration Strategies - Details the strategic evolution of managed Kubernetes and proprietary orchestration services for cloud infrastructure.
• Container Image Versioning - Details systems and practices for tracking and managing different versions of container images via ECR.
• Container Registry Management - Includes strategic management of container image registries using Amazon ECR for consistent deployments.
• Container Service Roadmaps - Serves as a public tracking document for upcoming features and development priorities for EKS, ECS, ECR, and Fargate.
• Containerized Application Deployments - Provides strategic guides for launching full application environments using portable container images.
• Security Planning - Outlines a development plan for scanning malicious activity and tracking workload health across container environments.
• Container Security - Provides plans for hardening container environments, runtime monitoring, and scanning for malicious activity.
• Infrastructure as Code - Includes guides on provisioning and managing cloud infrastructure and Kubernetes clusters via code.
• Cloud-Instance Auto-scaling - Automatically adjusts the number of cloud compute instances to match the current resource demands of the cluster.
• Task-Based Scaling - Automatically increases or decreases the number of running application instances based on performance metrics.
• OS-Specific Node Pools - Details the use of OS-specific node pools to route workloads to either Linux or Windows host nodes.
• Batch Workload Execution - Outlines the execution of non-interactive batch jobs and stateless applications across managed infrastructure.
• Windows Container Orchestration - Covers tools and strategies for deploying and managing Windows-based containerized workloads within clusters.
• Workload Blueprinting - Details the mapping of application configurations to structured blueprints for consistent environment alignment.
• Load Balancers - Distributes incoming network requests across multiple running containers to maintain high availability.
• Runtime Threat Detection - Provides planning for runtime threat detection systems that evaluate real-time container activity against security rules.
• Threat Detection - Provides a security system for scanning container instances and workloads to identify and prevent unauthorized or malicious activity.
• Log Routing - Implements mechanisms for forwarding container standard output and error streams to external storage and analytics services.
• Container Workload Tracking - Provides capabilities for monitoring resource utilization and service health to ensure stable operation of containerized tasks.
• Application Health Monitors - Provides a system for tracking the operational health and performance metrics of active container services.

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