Tag: AWS Fargate

Secrets management is a challenging but critical aspect of running secure and dynamic containerized applications at scale. To support this need to securely distribute secrets to running applications, Kubernetes provides native functionality to manage secrets in the form of Kubernetes Secrets. However, many customers choose to centralize the management of secrets outside of their Kubernetes […]

Note: The dates in the migration timeline have been updated as of October 11, 2022. Since the launch of AWS Fargate in 2017, we have steadily increased the quota on various concurrent Amazon Elastic Container Service (Amazon ECS) tasks and Amazon Elastic Kubernetes Service (Amazon EKS) pods that can be launched: 2017: 20 on-demand tasks […]

Many AWS customers use Amazon Elastic Kubernetes Service (Amazon EKS) to run container workloads on AWS Fargate because it offers reduced operational complexity with right-sized, on-demand compute for containers. As customers scale their deployments on Fargate, they have expressed a need to track consumption with more specificity, such as usage from individual pods, namespaces, clusters, […]

The AWS Containers team has been busy since we’ve seen you last at re:Invent 2021! We’re excited to bring you two free online events in May to share the latest and greatest on Containers at AWS. AWS Container Day @ KubeCon + CloudNativeCon Europe is happening May 10th-13th & 17th, 1700 – 1900 CEST. This […]

AWS Fargate is a technology that provides on-demand capacity for running pods on EKS clusters. Fargate provides a more hands-off experience, helping you run container applications without needing to manage the EC2 instances underneath. AWS Fargate runs each Kubernetes pod in its own isolated security boundary. This means it has a slightly different operating model […]

Since 2015, hundreds of thousands of developers have chosen Amazon Elastic Container Service (Amazon ECS) as their orchestration service for cluster management. Developers trust Amazon ECS with the lifecycle of their mission-critical applications, from initial deployment to rolling out new versions of their code and autoscaling in response to changing traffic levels. Alongside these long-lived application tasks, Amazon […]

This blog was co-authored by Matteo Generali, Head of Digital Factory – Generali Italia; Andrea Caligaris, Claims & Health applications development lead – Generali Italia; Lorenzo Micheli, Senior Cloud Infrastructure Architect – AWS Professional Services; and Ettore Trevisiol, Cloud infrastructure Architect – AWS Professional Services. Who is Generali Italia? Generali Italia is one of Europe’s […]

Introduction Amazon CloudWatch Container Insights helps customers collect, aggregate, and summarize metrics and logs from containerized applications and microservices. Metrics data is collected as performance log events using the embedded metric format. These performance log events use a structured JSON schema that enables high-cardinality data to be ingested and stored at scale. From this data, […]

Organizations are embracing microservices architectures and container-based deployments to gain agility, scalability, isolation, and separation of concerns. AWS Fargate, the serverless compute engine for running containers in the AWS Cloud, improves agility by taking away the undifferentiated heavy lifting of worker node provisioning and management. With Fargate, organizations can focus on building applications and application […]

Sushanth Mangalore and Chance Lee, AWS Solutions Architects, SMB Introduction The twelve-factor methodology helps you build modern, scalable, and maintainable software-as-a-service apps. The methodology is technology agnostic and has become a widely-adopted approach to developing cloud-native applications. There are a few different ways to develop twelve-factor applications on AWS. Solutions based on containers technology are a […]