Best Container Management Software Platforms for Amazon Elastic Container Service (Amazon ECS)

Kubernetes (K8s), an open-source software that automates deployment, scaling and management of containerized apps, is available as an open-source project. It organizes containers that make up an app into logical units, which makes it easy to manage and discover. Kubernetes is based on 15 years of Google's experience in running production workloads. It also incorporates best-of-breed practices and ideas from the community. Kubernetes is built on the same principles that allow Google to run billions upon billions of containers per week. It can scale without increasing your operations team. Kubernetes flexibility allows you to deliver applications consistently and efficiently, no matter how complex they are, whether you're testing locally or working in a global enterprise. Kubernetes is an open-source project that allows you to use hybrid, on-premises, and public cloud infrastructures. This allows you to move workloads where they are most important.

8gears Container Registry is a Harbor-based container registry as a service offered and operated by the project's maintainer and contributors

AWS Fargate, a serverless compute engine that runs containers, works with both Amazon Elastic Container Service and Amazon Elastic Kubernetes Service. Fargate makes it simple for you to concentrate on building your applications. Fargate eliminates the need for provisioning and managing servers. It allows you to specify and pay per application for resources. Fargate also improves security by application isolation by design. Fargate allocates the correct amount of compute, eliminating the need for instances to scale cluster capacity and choosing instances. You only pay for what you use to run your containers. There is no need to over-provision or purchase additional servers. Fargate runs each task and pod in its own kernel, giving them their own isolated computing environment. This allows your application to be isolated from the workload and provides greater security by design.

Amazon Elastic Kubernetes Service is a fully managed Kubernetes services. EKS is trusted by customers such as Intel, Snap and Intuit. It also supports GoDaddy and Autodesk's mission-critical applications. EKS is reliable, secure, and scaleable. EKS is the best place for Kubernetes because of several reasons. AWS Fargate is serverless compute for containers that you can use to run your EKS clusters. Fargate eliminates the need for provisioning and managing servers. It allows you to specify and pay per application for resources and improves security by application isolation by design. EKS is also integrated with AWS Identity and Access Management, AWS CloudWatch, Auto Scaling Groups and AWS Identity and Access Management, IAM, and Amazon Virtual Private Cloud (VPC), allowing you to seamlessly monitor, scale, and load balance your applications.

AWS App2Container is a command-line tool that allows you to migrate and modernize Java and.NET applications into container format. AWS A2C analyzes applications running on bare metal, virtual machine, Amazon Elastic Compute Cloud instances (EC2), or in the Cloud. Streamlining application development and operational skills sets will reduce infrastructure costs and training costs. Automate modernization through automatic analysis of applications, and auto-generated container images. Containerize applications running within your datacenter without code changes. Standardize the deployment and operation of your legacy applications. AWS CloudFormation Templates configure the required compute, networking, and security infrastructure. Use pre-created continuous delivery and integration (CI/CD pipelines) for AWS DevOps.

Enterprise observability for all of your teams at scale Traditional tools only detect simple threshold-based anomalies. This makes it difficult to distinguish between real issues and false alarms. VMware Tanzu Observability from Wavefront allows you to create smart alerts that dynamically filter out noise and capture true anomalies. It is difficult to troubleshoot distributed cloud applications because of many moving parts, dependencies on other applications, and frequent code changes. Wavefront tracks all metrics from your cloud applications, infrastructure, and clouds. It can be difficult to find the right needle when dealing with thousands of metrics from containerized microservices and distributed cloud applications. AI Genie™, which automatically identifies "unknown unknowns", allows you to quickly find the root cause of an incident - isolate applications, infrastructure, and cloud.

Deep Learning Containers are Docker images pre-installed with the most popular deep learning frameworks. Deep Learning Containers allow you to quickly deploy custom ML environments without the need to build and optimize them from scratch. You can quickly deploy deep learning environments using prepackaged, fully tested Docker images. Integrate Amazon SageMaker, Amazon EKS and Amazon ECS to create custom ML workflows that can be used for validation, training, and deployment.