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AWS Fargate
AWS Fargate

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Tectonic
Tectonic

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AWS Fargate vs Tectonic: What are the differences?

Developers describe AWS Fargate as "Run Containers Without Managing Infrastructure". AWS Fargate is a technology for Amazon ECS and EKS* that allows you to run containers without having to manage servers or clusters. With AWS Fargate, you no longer have to provision, configure, and scale clusters of virtual machines to run containers. On the other hand, Tectonic is detailed as "The smartest way to run your container infrastructure". A CoreOS + Kubernetes platform to run Linux containers.

AWS Fargate and Tectonic can be categorized as "Containers as a Service" tools.

Some of the features offered by AWS Fargate are:

  • No clusters to manage
  • seamless scaling
  • integrated with Amazon ECS and EKS

On the other hand, Tectonic provides the following key features:

  • Deploy code on a container-native stack
  • Flexible architectures for each app
  • Automatic load balancing for services
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What is AWS Fargate?

AWS Fargate is a technology for Amazon ECS and EKS* that allows you to run containers without having to manage servers or clusters. With AWS Fargate, you no longer have to provision, configure, and scale clusters of virtual machines to run containers.

What is Tectonic?

A CoreOS + Kubernetes platform to run Linux containers.
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          What are some alternatives to AWS Fargate and Tectonic?
          Google App Engine
          Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
          Kubernetes
          Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
          AWS Batch
          It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.
          Amazon EC2 Container Service
          Amazon EC2 Container Service lets you launch and stop container-enabled applications with simple API calls, allows you to query the state of your cluster from a centralized service, and gives you access to many familiar Amazon EC2 features like security groups, EBS volumes and IAM roles.
          Google Kubernetes Engine
          Container Engine takes care of provisioning and maintaining the underlying virtual machine cluster, scaling your application, and operational logistics like logging, monitoring, and health management.
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