Category: Amazon CloudWatch

Introduction For improved observability and troubleshooting, it is recommended to ship container logs from the compute platform to a container running on to a centralized logging server. In the real world, the logging server may occasionally be unreachable or unable to accept logs. There is an architectural tradeoff when designing for log server failures. Service […]

Introduction Amazon CloudWatch Container Insights allows you to collect, aggregate, and analyze metrics, logs, and traces for your container-based applications and infrastructure on AWS. Container Insights captures metrics for various resources, such as CPU, memory, disk, and network, along with diagnostic data like container restart failures, which enables you to efficiently isolate and resolve problems. […]

Introduction Application Auto Scaling is a web service for developers and system administrators who need a solution for automatically scaling their scalable resources for AWS services such as Amazon Elastic Container Service (Amazon ECS) services, Amazon DynamoDB tables, AWS Lambda Provisioned Concurrency, and more. Application Auto Scaling now offers support for scaling such resources using […]

To meet user demand, dynamic HTTP-based applications require constant scaling of Kubernetes pods. For applications exposed through Kubernetes ingress objects, the AWS Application Load Balancer (ALB) distributes incoming traffic automatically across the newly scaled replicas. When Kubernetes applications scale down due to a decline in demand, certain situations will result in brief interruptions for end […]

Introduction Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that allows organizations to deploy, manage, and scale containerized workloads. It’s deeply integrated with the AWS ecosystem to provide a secure and easy-to-use solution for managing applications not only in the cloud but now also on your infrastructure with Amazon ECS […]

Introduction Amazon ECS now offers native support for monitoring and automatically reacting to changes during a rolling update by using Amazon CloudWatch metric alarms. This enables customers to easily automate discovery and remediation for failed deployments and minimize the performance and availability impacts. Customers can configure Amazon CloudWatch alarms for their rolling updates using the […]

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 […]

Introduction Amazon Elastic Container Service (ECS) customers who use Cluster auto scaling (CAS) have expressed that they would like to scale-in more quickly so that they can avoid paying extra charges for compute resources during scale-in events. To make scaling-in more responsive, today we are pleased to introduce an enhancement to increase the scale-in step […]

Introduction Amazon ECS eliminates the need to install, operate, and scale your own cluster management infrastructure. Customers are using horizontal scalability to deploy and scale their microservices applications running on Amazon ECS. They use the Application Auto Scaling service to automatically scale based on metrics data. Amazon ECS typically measures service utilization based on average […]

Today, we are launching the Amazon ECS Exec functionality for Amazon Elastic Container Service (Amazon ECS) customers running Windows containers on Amazon Elastic Compute Cloud (Amazon EC2), AWS Fargate or Amazon ECS Anywhere. This feature enables you to run commands in or get a shell to a container. In this blog post, we will walk […]