Containers

Category: AWS Fargate

AWS App Runner now integrates with AWS Secrets Manager and AWS Systems Manager Parameter Store

AWS App Runner makes it easy to run web applications and APIs at production scale. It enables you to build, deploy, run, and observe web applications without the burden associated with infrastructure management. Many such applications externalize the storage of URLs, API keys, usernames, database secrets, and configuration parameters. Starting today, App Runner allows you to […]

Happy 5th birthday, AWS Fargate!

In just 5 years, AWS Fargate has emerged as the mission-critical infrastructure for customers seeking to adopt container-based applications without managing underlying infrastructure. Its ability to provide serverless compute paired with a unique security model, where every container is wrapped in a virtual machine, has earned the trust of many organizations. AWS Fargate has been […]

Deploying IPFS Cluster using AWS Fargate and Amazon EFS One Zone

Deploying IPFS Cluster using AWS Fargate and Amazon EFS One Zone

Introduction Image source: https://ipfscluster.io/ IPFS (InterPlanetary File System) is a popular decentralized storage solution used for many use cases like decentralized applications, p2p data sharing, or immutable file systems. For more usage ideas see these examples. IPFS Cluster is another application that runs alongside IPFS and provides data orchestration across a swarm of IPFS daemons […]

Announcing AWS App Runner Private Services

Earlier this year we announced the general availability of App Runner VPC support. This feature enabled your services to communicate with databases and other applications hosted in an Amazon Virtual Private Cloud (Amazon VPC). Today, we released App Runner private services, and now customers can strengthen the security posture of their applications and meet their […]

Reducing AWS Fargate Startup Times with zstd Compressed Container Images

Reducing AWS Fargate Startup Times with zstd Compressed Container Images

Updated Oct. 19, 2022: Amazon ECR’s Enhanced Scanning, powered by AWS Inspector, now supports scanning zstd compressed container images AWS Fargate is a serverless compute engine for containerized workloads running on Amazon Elastic Container Service (Amazon ECS) and Amazon Elastic Kubernetes Service (Amazon EKS). Once a containerized workload has been scheduled by a container orchestrator, […]

Read our blog post about optimizing your Spring Boot application for AWS Fargate.

Optimize your Spring Boot application for AWS Fargate

Update: Spring Boot has been updated to version 3, which also means that Amazon Corretto 17 is used as JDK for all versions. Fast startup times are key to quickly react to disruptions and demand peaks, and they can increase the resource efficiency. With AWS Fargate, you don’t need to take care of the underlying […]

Read the blog post about migrating and modernizing Windows Communication Foundation (WCF) workloads onto AWS container services.

Migrating and modernizing Windows Communication Foundation (WCF) workloads onto AWS container services

Introduction Windows Communication Foundation (WCF) is a framework created by Microsoft in 2008 for building service-oriented architecture (SOA) applications. It provides a set of libraries for building web services, using different network protocols to send and receive data between service endpoints. With the introduction of .NET Core in 2016 and the emergence of microservices, our […]

Leverage AWS secrets stores from EKS Fargate with External Secrets Operator

Leverage AWS secrets stores from EKS Fargate with External Secrets Operator

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 […]

Title img: Actuate uses AWS Fargate for ML-based, real-time video monitoring and threat detection

Actuate uses AWS Fargate for ML-based, real-time video monitoring and threat detection

This post was written in collaboration with Scott Underwood, Jacob Weiss, Tatiana Hanazaki, and Mark Berbera from Actuate AI. The goal at Actuate AI is to leverage technology to make the world a safer place. Our team at Actuate AI aims to do that by using cutting-edge computer vision to reduce the response time of […]