I have been trying to run a demo hello world container on ECS and created an ECS cluster from the AWS console with the following config.
However, when I'm trying to run a task to this container, It's saying, "You don't have any EC2 instances registered to your cluster. Your tasks won't be able to be run.".
I tried to google the problem, but AWS recently changed their UI, and almost everything I found on the internet is outdated and doesn't match the current flow. Also, I am considerably new to this arena and having a difficult time understanding a lot of things.
Can anyone give me a hand resolving this matter?
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I have a service that needs to run on our own EC2 instances, since it requires some support from the kernel. My previous experience is all with containers in AWS. The application itself is distributed as a single JAR file and I'm looking for advice for how I should automate deployments. The architecture is:
An ALB in front of the ASG.
EC2 instance running a single Java application.
Any open sockets are open for an hour tops and to not cause any trouble, we have to drain the connections to the EC2 instances before performing an update, so a hard requirement is for the ALB to stop opening new connections for an hour before updating the software. The application is mission critical and ECS has had some issues last year, so I want to minimize the AWS services I depend on. While I could do what I want on my own ECS cluster with custom AMIs, I don't want to do it, since I will run a single instance of the app per host and don't need the extra layer.
My question: What is the simplest method to achieve this using CodePipeline? My understanding is that I need to use a CodeDeploy deployment step to push something to bare EC2 instances. How does draining with an ALB work in this case? We're using CloudFormation for the deployment.
You need to use codedeploy. You can find tutorial on AWS codedeploy documentation.
Codedeploy deployment lifecycle hooks for EC2.
https://docs.aws.amazon.com/codedeploy/latest/userguide/reference-appspec-file-structure-hooks.html#appspec-hooks-server
I have a Node.js web application currently running on a single EC2 instance on AWS. I am thinking of using auto scaling with 2 or more EC2 instances since the load on the application is increasing.
I have been trying to understand something with AWS Auto Scaling for a couple hours now but I cant seem to find an answer anywhere.
Currently, at many instances I SSH into my Ubuntu EC2 instance to modify some things or to run a deploy command (which grabs latest code from github). How does this work when you have, let's say 4 instances running under the auto scaling?
So if I SSH into a server and change the server.js file, what happens to the other 3 instances?
If that is not possible what are my choices? I have seen many people seeing that using S3 is the way to keep things in Sync but I don't fully get that. So I have to keep all my source code in S3 and do my edits from there?
You won't be able to modify files directly on the server once they are in an auto-scaling group. Changing something on one server won't be reflected on the other servers, and even if you manually updated all the currently running servers, any servers added by auto-scaling actions will not have those changes.
There are many methods to solve this, for example using AWS Code Deploy.
You could also configure something via an EC2 User-Data script in your auto-scaling configuration which will run on each server when they are created. That script could checkout the latest code from Git, or pull the latest build artifact from S3, and then start the app. When you have an update ready to deploy, you would simply flag the current instances as "unhealthy" and wait for the Auto-Scaling group to automatically replace them with new, updated instances.
You could use AWS EFS to host your application code and all web servers will get content from EFS instead of individual server. This way you don't have to worry about modifying individual server content.
One way you can do it is using github. you can update your code and push it to github and then terminate your existing instances and let the auto-scaling group spin up new instances with the updated code. here is a youtube tutorial video that has detailed steps on how to do it: https://www.youtube.com/watch?v=lB3Ip0Yn-Zs
I have an AWS website that is running inside a private subnet and I am not sure what the best way is to update it.
I would like something that is non-burdensome, ideally it would be nice to have some EC2 Box (with security groups only allowing select IP's to connect too) running the development page, and then I could simply copy it over to the private EC2 Box with a click of a button.
I am not too familiar with best practices, but the idea of connecting through several EC2 boxes seems burdensome.
Thank You!
Sounds like you might want to make use of AWS CodeDeploy. There are other tools as well, but since you are already on/using AWS this might be a good one to start with:
AWS CodeDeploy is a service that automates code deployments to any
instance, including Amazon EC2 instances and instances running
on-premises. AWS CodeDeploy makes it easier for you to rapidly release
new features, helps you avoid downtime during application deployment,
and handles the complexity of updating your applications. You can use
AWS CodeDeploy to automate software deployments, eliminating the need
for error-prone manual operations, and the service scales with your
infrastructure so you can easily deploy to one instance or thousands.
https://aws.amazon.com/codedeploy/
We started our wordpress blog some time ago with only one single EC2 Instance and a Multi-AZ RDS Database.
The traffic increased with heavy ups and downs (up to 1.500 user per minute), so we decided to use EC2 Auto Scaling. Here is our problem: Every time we changed some code, we have to create a new AMI for the Auto Scaling Group and terminate all instance so new instances will start with the new AMI Data.
Is there a easy way to synchronize all instance automatically, when changing some code on one of them? Perhaps Opsworks could to that but I haven't experience with this. I already searched a couple of days for a tutorial, but could not find anything helpful.
You could configure your AMI to download the latest code on startup, so that you don't have to constantly update the AMI.
Or you could just use Elastic Beanstalk and let it manage all this stuff for you.
If you want an easy way to deploy changes to instances in your autoscaling group, I would recommend using Code Deploy.
Code Deploy integrates nicely with Autoscaling. If a scaling up event occurs, it will start a deployment to the newly launched instance and won't bring that instance into service in the AutoScaling group until the deployment has finished.
The deployments can be as simple as changing the code or else they can involve more thanks to Code Deploys deployment hooks.
Also you can have Code Deploy grab your code from S3, Github or CodeCommit.
Code Deploy is pretty easy to set up and the documentation is great:
Docs AutoScaling Integreation
Hi this is a very noob question, but I am trying to deply my Node JS API server on AWS.
Everything is working fine with one m1.large instance that my Front End running on S3 connects to.
Now I want to Scale and put my EC2 instance and possibly many more behing and ELB and an Auto Scaling Group.
Do I need to duplicate my server code on every EC2 instance?
If so , I assume I'll have to create a seperate DB server which all of the EC2 instances will connect to.
Am I right,anyone experienced in Amazon AWS can answer this, I tried googling but most of the links point to detailed tutorials which however don't answer my question.
Any help would be much appreciated. Thanks
yep. that's basically correct. the code needs to be on all instances fronted by the load balancer. for the database you may want to look into RDS.
Of course NOT.. But sure you can do..
That's why there are EFS volumes, which are shared volumes to more than one EC2 instance, but you have to choose a region that support them since they are available on certain regions. As a candidate AWS certified architect I would recommend you more than two options.
You can follow your first approach and create an EC2 instance put your code inside and then create an AMI and use this AMI to launch your upcoming EC2s through autoscaling group. In my opinion bad decision since on any code change you have to go on each one and put the new code and then create a new AMI and a new Auto scaling configuration..Lot's of stuff to do, but it will work.
Second approach, following the first approach but do not create an AMI, instead upload your code on a private (I suppose) Repo like github, bitbucket, install SSM and the appropriate roles for managing EC2 and on every code changes push them to repo and pull them on your EC2, using SSM. Of course you may write a webhook to bitbucket to call an api and run the git pull command on each EC2. Probably the last sentence could be a third approach but needs more coding!!!
Last but not least!! Use an EFS volume put your code there, mount this volume on your EC2, add a auto mount command on every boot, alter your apache httpd main document to point on this EFS/folder and create an AMI with this configuration. Voila! every new EC2 will use the same code which located on this shared/network volume. Whenever you need to change something you have to log in on a third instance outside of your autoscaling group for a certain amount of time upload your changes and then turn it off and all of your EC2 will take immediately the new code. Of course you may pull the changes from a repo following the third approach.
Maybe there are more approaches, I'm using the third one with private repos of course and until now I haven't faced any problem (Fingers crossed)!
One other option is to use Elastic Beanstalk to Deploy NodeJs applications. Here is the guide specific to NodeJs. This will take care of most of the stuff which you would need to do otherwise if you only use EC2 For example: ELB, Autoscaling Cloudwatch etc.
For Database, you may want to use the Master Slave with Read Replicas. Another option is to evaluate NoSql Databases like DynamoDB if it fits your use case. The scalability of DynamoDB tables is managed by AWS so you dont need to worry about it.