Category: Containers

This post is contributed by Nic Coles, Head of Software Engineering, Aerobotics Aerobotics is an agri-tech company operating in 18 countries around the world, based out of Cape Town, South Africa. Our mission is to provide intelligent tools to feed the world. We aim to achieve this by providing farmers with actionable data and insights […]

Ugur KIRA, Dejun Hu, TP Kohli CloudWatch Container Insights CloudWatch Container Insights enables you to explore, analyze, and visualize your container metrics, Prometheus metrics, application logs, and performance log events through automated dashboards in the CloudWatch console. These dashboards summarize the performance and availability of clusters, nodes or EC2 instances, services, tasks, pods, and containers […]

This post shows how to configure a Linux container running on Amazon Elastic Container Service (Amazon ECS) to connect to a SQL Server database using Windows (or Integrated) Authentication. Windows Authentication is the recommended mechanism to connect to SQL Server databases, but using it can be challenging when running containerized workloads.

Apache Airflow is an open-source distributed workflow management platform that allows you to schedule, orchestrate, and monitor workflows. Airflow helps you automate and orchestrate complex data pipelines that can be multistep with inter-dependencies. This post presents a reference architecture where Airflow runs entirely on AWS Fargate with Amazon Elastic Container Service (ECS) as the orchestrator, […]

Introduction As containers move to cloud native production environments, DevOps and security teams increasingly look to deploy DevSecOps pipelines that provide automated real-time visibility into container activity, restrict container access to host and network resources and detect and prevent exploits and attacks on running containers. In this blog post, we implement a solution that demonstrates […]

With Amazon Elastic Kubernetes Service (EKS), you have the choice to run Kubernetes pods on EC2 instances or AWS Fargate. AWS Fargate, a serverless compute engine for containers, allows you to run Kubernetes workloads without creating and managing servers, scaling your data plane, right-sizing EC2 instances, or dealing with worker nodes upgrades. Fargate, thus far, […]

Docker Hub has recently updated its terms of service to introduce rate limits for container image pulls. While these limits don’t apply to accounts under a Pro or Team plan, anonymous users are limited to 100 pulls per 6 hours per IP address, and authenticated free accounts are limited to 200 pulls per 6 hours. […]

Originally, containers were a great fit for stateless applications. However, for many use cases there is a need for persistent storage, without which stateful workloads are not possible. Kubernetes first introduced support for stateful workloads with in-tree volume plugins, meaning that the plugin code was part of the core Kubernetes code and shipped with the […]

This post is contributed by Raj Seshadri and Jimmy Ray As containers are used in cloud native production environments, DevOps and security teams need to gain real-time visibility into container activity, restrict container access to host and network resources, and detect and prevent exploits and attacks on running containers. Kyverno is a policy engine for […]

Recently, we announced features to improve the configuration and metric gathering experience of your tasks deployed via AWS Fargate for Amazon ECS. Based off of customer feedback, we added the following features: Environment file support Deeper integration with AWS Secrets Manager using secret versions and JSON keys More granular network metrics, as well as additional […]