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  1. Stackups
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  3. Container Registry
  4. Containers As A Service
  5. Azure Container Instances vs Azure Container Service

Azure Container Instances vs Azure Container Service

OverviewComparisonAlternatives

Overview

Azure Container Service
Azure Container Service
Stacks97
Followers214
Votes11
Azure Container Instances
Azure Container Instances
Stacks37
Followers73
Votes0

Azure Container Instances vs Azure Container Service: What are the differences?

Introduction

Azure Container Instances and Azure Container Service are both services provided by Microsoft Azure for managing containers, but they have some key differences. Here are the key differences between Azure Container Instances and Azure Container Service:

  1. Deployment Model: Azure Container Instances (ACI) offers a serverless computing experience, allowing a single container or a group of containers to be easily deployed without managing any underlying infrastructure. On the other hand, Azure Container Service (AKS) provides a managed Kubernetes service, which allows for the orchestration and management of containerized applications using Kubernetes.

  2. Ease of Use: ACI is designed for simplicity and ease of use. It allows users to instantly deploy containers without the need to manage any virtual machines or clusters. In contrast, AKS provides a more advanced and feature-rich environment. It requires users to have knowledge of Kubernetes and its concepts, making it a more suitable choice for complex multi-container applications.

  3. Scalability: ACI provides automatic scaling capabilities, allowing containers to scale up and down based on the workload demand. It can handle burst scenarios effectively and scale to zero when not in use, optimizing resource utilization. AKS also offers scaling capabilities but requires manual configuration and management of the cluster to ensure optimal scalability.

  4. Pricing Model: ACI pricing is based on the seconds of container usage, providing a fine-grained billing model. It is cost-effective for short-running or burst workloads. AKS, on the other hand, follows a more traditional pricing model based on the size and number of virtual machines in the cluster. It is more suitable for long-running and production workloads where steady resource allocation is required.

  5. Networking: ACI offers simplified networking as it automatically assigns an IP address to each container instance. It supports different networking modes, including virtual network integration, allowing direct communication with other Azure resources. AKS provides advanced networking features, such as load balancing, network policies, and private IP address allocation, leveraging the power of Kubernetes networking capabilities.

  6. Supported Workloads: ACI is designed for short-lived containers and batch processing workloads but may not be suitable for more complex applications. AKS is more suitable for complex microservices architectures and long-running applications that require advanced features provided by Kubernetes, such as service discovery, auto-scaling, and rolling updates.

In summary, Azure Container Instances provides a serverless, easy-to-use, and cost-effective way to deploy containers, suitable for short-lived and burst workloads. Azure Container Service, on the other hand, offers a managed Kubernetes environment with advanced features, making it more suitable for complex and long-running containerized applications.

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Detailed Comparison

Azure Container Service
Azure Container Service
Azure Container Instances
Azure Container Instances

Azure Container Service optimizes the configuration of popular open source tools and technologies specifically for Azure. You get an open solution that offers portability for both your containers and your application configuration. You select the size, the number of hosts, and choice of orchestrator tools, and Container Service handles everything else.

It is a solution for any scenario that can operate in isolated containers, without orchestration. Run event-driven applications, quickly deploy from your container development pipelines, and run data processing and build jobs.

Create a container hosting solution optimized for Azure;Scale and orchestrate applications using Apache Mesos or Docker Swarm;Use popular open source, client-side tooling;Migrate container workloads to and from Azure without code changes
Run containers without managing servers; Increase agility with containers on demand; Secure applications with hypervisor isolation
Statistics
Stacks
97
Stacks
37
Followers
214
Followers
73
Votes
11
Votes
0
Pros & Cons
Pros
  • 6
    Easy to setup, very agnostic
  • 3
    It supports Kubernetes, Mesos DC/OS and Docker Swarm
  • 2
    It has a nice command line interface (CLI) tool
No community feedback yet
Integrations
Docker Swarm
Docker Swarm
Docker
Docker
Apache Mesos
Apache Mesos
Docker
Docker

What are some alternatives to Azure Container Service, Azure Container Instances?

Amazon EC2 Container Service

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

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.

Containerum

Containerum

Containerum is built to aid cluster management, teamwork and resource allocation. Containerum runs on top of any Kubernetes cluster and provides a friendly Web UI for cluster management.

Docker Cloud

Docker Cloud

Docker Cloud is the best way to deploy and manage Dockerized applications. Docker Cloud makes it easy for new Docker users to manage and deploy the full spectrum of applications, from single container apps to distributed microservices stacks, to any cloud or on-premises infrastructure.

Amazon EKS

Amazon EKS

Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a managed service that makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.

instainer

instainer

InstaDocker is a Docker container hosting service which allows run any Docker container on the cloud instantly.

Docker Datacenter

Docker Datacenter

Docker Datacenter is an integrated solution including open source and commercial software, the integrations between them, full Docker API support, validated configurations and commercial support for your Docker Datacenter environment.

DCHQ

DCHQ

DCHQ delivers enterprise discipline to Linux Containers application lifecycle management. Available in hosted and on-prem versions, DCHQ provides the most advanced application composition framework extending Docker Compose through environment variable bindings across images, BASH script plug-ins that can be invoked at request time and post-provision and support for clustering for high availability across multiple hosts and auto-scaling.

Supergiant

Supergiant

Supergiant is a container management platform built on top of Kubernetes. Supergiant makes it easy to deploy and manage faster, and it reduces hardware expenses. Packing algorithm efficiently matches your overall CPU and RAM needs.

AWS Fargate

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.

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