Containers

In this post, we demonstrate how to generate comprehensive reports for Amazon ECR repositories that include cost breakdowns, usage metrics, security scan results, and compliance status across all repositories. The solution provides two types of reports: a Repository Summary report containing attributes for tracking and optimizing cost, usage, and OS vulnerabilities, and an Image-Level report for detailed analysis of specific repository images.

In this post, we explore how SOCI Parallel Pull Mode transforms container image pulls through configurable parallelization strategies, addressing performance bottlenecks in both download and unpacking phases. The solution demonstrates significant improvements in pull times, showing nearly 60% acceleration when tested with a 10GB Deep Learning Container image, making it particularly valuable for AI/ML workloads with large, complex images.

In this post, we demonstrate how to use Karpenter and KWOK to simulate Kubernetes migrations to Amazon EKS, enabling organizations to estimate compute costs before actual migration. The solution involves creating a test environment, backing it up with Velero, restoring it in a new EKS cluster, and analyzing Karpenter’s node provisioning decisions to build accurate cost estimates.

In this post, we explore advanced implementation patterns for building highly available services on Amazon ECS, including idempotency, resilience to transient failures, static stability across Availability Zones, deployment safety, and chaos engineering techniques. The post provides detailed guidance on how these patterns can be implemented when deploying applications on Amazon ECS to ensure maximum resilience and availability.

This post explores how to implement progressive delivery using Amazon VPC Lattice, Amazon CloudWatch Synthetics, and Argo Rollouts for canary deployments in Amazon EKS environments. The solution enables gradual traffic shifting between service versions, real-time health monitoring through synthetic tests, and automated rollbacks if issues are detected, providing a comprehensive approach to safe and reliable application updates.

This post guides readers through integrating Tailscale with Amazon EKS Hybrid Nodes to simplify and secure network connectivity between on-premises infrastructure and AWS. The integration enables encrypted point-to-point connections using the WireGuard protocol, creating a peer-to-peer mesh network that streamlines the network architecture needed for EKS Hybrid Nodes.

In this post, we demonstrate how to test network resilience of AWS Fargate workloads on Amazon ECS using AWS Fault Injection Service’s new network fault injection capabilities, including network latency, blackhole, and packet loss experiments. Through a sample three-tier application architecture, we show how to conduct controlled chaos engineering experiments to validate application behavior during network disruptions and improve system resilience.

When deploying containerized microservices, maintaining reliable service discovery and efficient routing during updates presents significant challenges. Traditional blue/green deployment approaches rely heavily on load balancer for traffic management, which can become complex when dealing with container-based service-to-service communication. This complexity increases the possibility of service disruption and makes it difficult to test new versions in […]

Organizations are increasingly adopting IPv6 for their Amazon Elastic Kubernetes Service (Amazon EKS) deployments, driven by three key factors: depletion of private IPv4 addresses, the need to streamline or eliminate overlay networks, and improved network security requirements on Amazon Web Services (AWS). In IPv6-enabled EKS clusters, each pod receives a unique IPv6 address from the […]

As enterprises continue to adopt containerized workloads, the need for robust and scalable logging solutions has become increasingly important. Logging is a crucial element in monitoring and troubleshooting distributed applications, especially in modern containerized environments such as those deployed on Amazon Elastic Container Service (Amazon ECS). As microservices architectures grow in complexity, managing logs across multiple […]