My main objective is to utilize GPU for one of our existing task being deployed through Fargate.
We have existing load balancers for our staging and production environments.
Currently we have two ECS Fargate clusters which deploy Fargate serverless tasks.
We want to be able to deploy one of our existing fargate tasks with GPU, but because fargate doesn't support GPU, we need to configure an EC2 task.
To do this, I believe we need to create EC2 auto-scaling groups associated with both the staging and production environments that allow for deploying an EC2 instances with a GPU through ECS.
I'm unsure whether or not we need to create a new cluster to house the EC2 task, or if we can put the EC2 task in our existing clusters (can you mix Fargate and EC2 like this?).
We're using Terraform for Infrastructure as code.
Any AWS documentation or relevant Terraform docs would be appreciated.
You can absolutely mix Fargate and EC2 tasks in the same cluster. Recommended checking out Capacity Providers for this: https://docs.aws.amazon.com/AmazonECS/latest/developerguide/cluster-capacity-providers.html
I have a cluster with a mixture of services running on EC2 and Fargate, all being used internally. I am looking to deploy a new Fargate Service which is going to be publicly available over the Internet and will get around 5000 requests per minutes.
What factors do I need to consider so that I can choose if a new cluster should be created or if I can reuse the existing one? Would sharing of clusters also lead to security issues?
If your deployment is purely using Fargate, not EC2, then there's really no technical reason to split it into a separate ECS cluster, but there's also no reason to keep it in the same cluster. There's no added cost to create a new Fargate cluster, and logically separating your services into separate ECS clusters can help you monitor them separately in CloudWatch.
Im developing a django website.
On the devops side, im considering using aws with an autoscaling. I still hesitate to contenerize my config, so I would use either beanstalk (without container) or container service (with docker). The database will be on aurora on a separate server.
I am new to aws and the help they provide online by expert is not free so here is my question :
When i compare with other hosting providers, their prices depend on the hardware configuration of the server.
I guess (because i dont yet have access to cost explorer) that it is the same with ec2 instances on amazon: you pay more for more powerful servers (cpu and ram and/or storage).
So im wondering how elastic beanstalk or elastic container instanciate new ec2 servers : do they invoke more powerful hardware configurations(scaling up) based on the demand on my website or does it depend on my manual configuration ? Or do they only replicate ec2 instances (scaling out) with the same config i manually set at the init?
Can i manually change the cpu,ram and storage of an ec2 instance of benstalk or ecs without re-configuring it all?
Can i fine tune the autoscaling out and autoscaling up and which scaling is better and cheaper (best choice)?
thanks a lot!
Auto Scaling groups scales out horizontally, means spawn new instances like defined in the launch template/launch configuration. Auto Scaling group cannot scale vertically. You can change the launch cofiguration and edit the instance type and size, which will replace your instances in the Auto Scaling Group.
https://docs.aws.amazon.com/autoscaling/ec2/userguide/create-asg-launch-template.html
With ECS, you have to option Fargate or ECS on EC2. With Fargate (serverless) you can easily define how much resource RAM/CPU you want to allocate to the "task" to run. With ECS EC2, you need to first create the ECS Cluster (need to allocate EC2 for running the cluster), then create a seperate task and then allocate RAM and CPU to it.
https://docs.aws.amazon.com/AmazonECS/latest/userguide/task_definition_parameters.html
Using Beanstalk you can easily define how much resources RAM/CPU want to use in the configuration. (Easier than just running plain autoscaling groups with a load balancer). It has a very easy interface to play around and adjust the resources.
I'm planning to use Docker, and associate 1 EC2 instance with 1 Microservice.
Why do I want to deploy Docker in AWS ECS vs. ElasticBeanstalk?
It is said that AWS ECS has a native support to Docker. Is that it?
It would be great if you could be elaborate the pros and cons of running docker on AWS ECS vs. ElasticBeanstalk.
Elastic Beanstalk (multi-container) is an abstraction layer on top of ECS (Elastic Container Service) with some bootstrapped features and some limitations:
Automatically interacts with ECS and ELB
Cluster health and metrics are readily available and displayed without any extra effort
Load balancer must terminate HTTPS and all backend connections are HTTP
Easily adjustable autoscaling and instance sizing
Container logs are all collected in one place, but still segmented by instance – so in a cluster environment finding which instance served a request that logged some important data is a challenge.
Can only set hard memory limits in container definitions
All cluster instances must run the same set of containers
As of ECS IT is Amazon’s answer to container orchestration. It’s a bit rough around the edges and definitely a leap from Elastic Beanstalk, but it does have the advantage of significantly more flexibility including the ability to even define a custom scheduler.
All of the limitations imposed by Elastic Beanstalk are lifted.
Refer these for more info :
Elastic Beanstalk vs. ECS vs. Kubernetes
Amazon EC2 Container Serivce
Amazon Elasticbeanstalk
I'm just getting started on AWS EC2. I understand that EC2 is like a remote computer where I can do pretty much everything I want. Then I found out about ECS. I know it uses Docker, but I'm confused about the relationship between these two.
Is ECS just a Docker install in EC2?
If I already have an EC2 and I start an ECS, does it mean I have two instances?
Your question
Is ECS just a docker install in EC2? If I already have a EC2, then I
start a ECS, does it mean I have two instance?
No. AWS ECS is just a logical grouping (cluster) of EC2 instances, and all the EC2 instances part of an ECS act as Docker host i.e. ECS can send command to launch a container on them (EC2).
If you already have an EC2, and then launch ECS, you'll still have a single instance. If you add/register (by installing the AWS ECS Container Agent) the EC2 to ECS it'll become the part of the cluster, but still a single instance of EC2.
An Amazon ECS without any EC2 registered (added to the cluster) is good for nothing.
TL; DR
An overview
EC2 - is simply a remote (virtual) machine.
ECS stands for Elastic Container Service - as per basic definition of computer cluster, ECS is basically a logical grouping of
EC2 machines/instances. Technically speaking ECS is a mere
configuration for an efficient use and management of your EC2
instance(s) resources i.e. storage, memory, CPU, etc.
To simplify it further, if you have launched an Amazon ECS with no EC2 instances added to it, it's good for nothing i.e. you can't do anything about it. ECS makes sense only once one (or more) EC2 instances are added to it.
The next confusing thing here is the container term - which is not fully virtualized machine instances, and Docker is one technology we can use to create container instances. Docker is a utility you can install on our machine, which makes it a Docker host, and on this host you can create containers (same as virtual machines - but much more light-weight). To sum up, ECS is just about clustering of EC2 instances, and uses Docker to instantiate containers/instances/virtual machines on these (EC2) hosts.
All you need to do is launch an ECS, and register/add as much EC2 instances to it as you need. You can add/register EC2 instances, all you need is Amazon ECS Container Agent running on your EC2 instance/machine, which can be done manually or directly using the special AMI (Amazon Machine Image) i.e. Amazon ECS-optimized AMI, which already has the Amazon ECS Container Agent. During the launch of a new EC2 instance the Agent automatically registers it to the default ECS cluster.
The container agent running on each of the instances (EC2 instances) within an Amazon ECS cluster sends information about the instance's current running tasks and resource utilization to Amazon ECS, and starts and stops tasks whenever it receives a request from Amazon ECS. For more information, see Amazon ECS Container Agent. Once set, each of the created container instances (of whatever EC2 machine/node) will be an instance in Amazon ECS's swarm.
For more information – read step 10 from this documentation: Launching an Amazon ECS Container Instance:
Choose an AMI for your container instance. You can choose the Amazon
ECS-optimized AMI, or another operating system, such as CoreOS or
Ubuntu. If you do not choose the Amazon ECS-optimized AMI, you need to
follow the procedures in Installing the Amazon ECS Container Agent.
By default, your container instance launches into your default
cluster. If you want to launch into your own cluster instead of the
default, choose the Advanced Details list and paste the following
script into the User data field, replacing your_cluster_name with the
name of your cluster.
#!/bin/bash
echo ECS_CLUSTER=your_cluster_name >> /etc/ecs/ecs.config
Or, if you have an ecs.config file in Amazon S3 and have enabled
Amazon S3 read-only access to your container instance role, choose the
Advanced Details list and paste the following script into the User
data field, replacing your_bucket_name with the name of your bucket to
install the AWS CLI and write your configuration file at launch time.
Note For more information about this configuration, see Storing
Container Instance Configuration in Amazon S3.
#!/bin/bash
yum install -y aws-cli
aws s3 cp s3://your_bucket_name/ecs.config /etc/ecs/ecs.config
Just to clarify it further – you can create containers on your single EC2 instance without ECS. Install any of the containerization technology i.e. Docker and run the create container command, setting your EC2 as a Docker host, and have as much Docker containers as you want (or as much as your EC2's resources allow).
In simple words,ECS is a manager while EC2 instances are just like employees.
All the employees (EC2) under this manager(ECS) can perform "Docker" tasks and the manager also understands "docker" pretty well. So,whenever you need "docker" resources, you show up to the Manager. Manager already has status from every employee(EC2) decides which one should perform the task.
Now, coming back to your question, a manager without an "employee" does not make sense but is definitely possible.
EC2 allows you to launch individual instances which you can use for pretty much whatever you like.
ECS is a container service, which means it will launch instances that will be ready to launch container applications.
The main distinction between the two services is that with EC2 you have to manage each instance separately in whatever method you choose (manually, using a CM tool or any other way) - deploy your applications and maintain the connection between the servers yourself.
ECS allows you to launch a cluster of machines that will serve as the deployment ground of your container apps, allowing you to treat all instances in the cluster as one big instance available for your container workload.
And to answer your question - You can start an ECS cluster with no instances in it, but then it won't be able to run anything on it. Once you register an EC2 instance inside an ECS cluster, containers are ready to run in it. So the bottom line is - you can use both ECS and EC2 with only one instance, but that is not the actual use case these services were built for.
Put simply, Elastic Container Service (ECS) is a Docker container orchestration service.
You can ask it to run one or more Docker images, either as an auto-scaling capable "Service" or as an ad-hoc "Task".
The services and tasks run on a "Cluster". Originally, a Cluster was a group of one or more pre-configured EC2 servers running ECS Cluster Agent. The Cluster Agent would schedule the containers on the EC2 server. These EC2 servers show up in your EC2 Instances list and are charged at regular EC2 per-minute costs - You can even SSH onto them like any normal EC2 server.
If you wanted more capacity to run more Services or Tasks, or if you wanted resilience against EC2 failure, then you would more EC2 servers.
Around November 2017, AWS added ECS Fargate. Now a Cluster can run "serverless" without provisioning EC2 nodes. You simply define the amount of CPU and memory your Task or Service requires to operate, meaning that you just pay for the CPU and memory time rather than the EC2.
ECS stands for 'Elastic Container Service'. It is a container orchestration service.
Lets say you have a Docker container running and you decide to update the Docker image. It's relatively easy task to stop, pull and run if you have one container running but its tedious to do the same steps if you have 10 to 100 of containers running.
With AWS ECS you can have this control. You specify if update is required provide the latest image id and ECS will handle the stop, pull and run etc. commands for you. It also provides with much more additional features, refer - https://aws.amazon.com/ecs/features/
EC2 stand for 'Elastic Compute Cloud'. In simple terms its a virtual machine.
ECS uses EC2 to run your containers.
'These running docker containers (tasks) are run on EC2 instances'.
ECS is a container orchestrator just like Kubernetes or Docker swarm, EC2 is an Amazon Elastic Compute Cloud platform for Creating Virtual Machines. ECS allows you to run containers on either serverless environments (Fargate) where you don't have to run any VM or in a non managed environments where you host the containers on EC2 instances.
Okay, as you know EC2 is a virtual machine on AWS and ECS is a container orchestration system on AWS.
To use ECS, you need to run your container into some virtual machines which EC2 is one of an option to provide that.
You will need to install ecs-agent on EC2 to make a connection with ECS. And ECS also can monitor the resource usages on your EC2. So basically you choose the more high-level EC2 type, then more resource(CPU/MEM) your container can use.
EC2 is a compute service that enables applications to run on AWS, whereas ECS is an AWS service used primarily to orchestrate Docker containers.