Overview
Docker Compose Server on Windows Server 2019
Docker Compose allows you to use a YAML file to define multi-container apps. Configure as many containers as needed, how they should be built and connected, and where data should be stored. Run a single command to build, run, and configure all of the containers when the YAML file is complete.
Docker Compose provides a way to orchestrate multiple containers that work together. Examples include a service that processes requests and a front-end web site, or a service that uses a supporting function such as a Redis cache. If you are using the microservices model for your app development, you can use Docker Compose to factor the app code into several independently running services that communicate using web requests.
Docker Compose Features: Multiple isolated environments on a single Docker host Preserve volume data when containers are created Only recreate containers that have changed Variables and moving a composition between environments Docker Engine You can run Compose apps on a Swarm cluster
Disclaimer: Docker is a registered trademark of Docker Inc and is licensed under Apache LicenseV2. No warrantee of any kind, express or implied, is included with this software. Use at your own risk, responsibility for damages (if any) to anyone resulting from the use of this software rest entirely with the user. The author is not responsible for any damage that its use could cause.
Highlights
- The Compose file provides a way to document and configure all of the applications service dependencies (databases, queues, caches, web service APIs, etc). Using the Compose command line tool you can create and start one or more containers for each dependency with a single command (docker-compose up).
- Docker Compose provides a way to orchestrate multiple containers that work together. When you are developing software, the ability to run an application in an isolated environment and interact with it is crucial.
- Run multiple containers as a single service using 1 yaml file. Scale and manage your apps faster & efficiently.
Details
Typical total price
$0.094/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.nano | $0.03 | $0.008 | $0.038 |
t2.micro AWS Free Tier | $0.03 | $0.016 | $0.046 |
t2.small | $0.03 | $0.032 | $0.062 |
t2.medium Recommended | $0.03 | $0.064 | $0.094 |
t2.large | $0.03 | $0.121 | $0.151 |
t2.xlarge | $0.03 | $0.227 | $0.257 |
t2.2xlarge | $0.03 | $0.433 | $0.463 |
t3.nano | $0.03 | $0.01 | $0.04 |
t3.micro AWS Free Tier | $0.03 | $0.02 | $0.05 |
t3.small | $0.03 | $0.039 | $0.069 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Latest OS Patches installed. Simply run Windows update to install latest Microsoft OS patches
Additional details
Usage instructions
RDP into instance, username is: Administrator
Scroll down to 'Getting Started' on the following URL: https://cloudinfrastructureservices.co.uk/how-to-setup-docker-compose-on-windows-server-in-azure-aws-gcp/
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Email support, contact us through our website or leave a comment on our getting started guide
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Version control of docker using different versions of the same dependency and
and run it on the same system.
this can sometimes lead to issues with the project as its already using high memory
Using multiple versions helps me verify the application compatibility with various different machines and environments