Presto.Īll of this presupposes that you’ve already set up the AWS CLI and ensured it’s working for you. So now I just trigger Alfred (Control + Space) and type d7 and press ENTER. This command has the effect of using the AWS CLI to look up the external DNS names of all of the instances in this pool, grabbing the last one, and then SSHing to that instances and su’ing to the apache user.
Where, in my case, the components of the above are: Ssh -t -p 22 -i ' keypair.pem' ec2 describe-instances -profile clientname -filters "Name=tag:Name,Values= name-filter" \ The workflow triggers a Terminal command: I set up an Alfred workflow, with the trigger keyword d7: What I’ve done to streamline this, using Alfred and the AWS CLI, is this: Heretofore my procedure has been cumbersome, involving logging in to the EC2 dashboard on the web, filtering my long list of instances by name, copying the external DNS name from one of the instance to the clipboard, and then pasting this, as part of an SSH command, to the terminal. I want to SSH to one of the instances – it doesn’t matter which one – so that I can execute some drush commands.I have a collection of identical Amazon EC2 instances, all sharing the same “name” tag for identification together they make up a Drupal server farm for a single site.This model known as Pay as you go, is very cost effective: No commitment to usage/reservation of resources or upfront payments.This may a task limited to me, but in case it’s not, here’s my goal: In the same way we provision the service as needed, we pay only for the resources used. This way we are high scalable and also having low or none idle resources, which leads to the next point. We can define, for example, that when a server hits X% of it's capacity to launch a clone of this service and automatically distribute the workloads between the servers. This is a nearly core/native nature of cloud services: The ability of provision servers, DBs or any other service as needed, based on triggers. This save us a lot of time and headaches. Basically anything related to structure (server, networking, storage) is AWS's responsibility while the applications running inside the infrastructure is our responsibility.
Just like AMI2 Linux, Aurora is developed by AWS aiming for performance.ĪWS provide secure measures and tools that are 100% managed and we don't have to worry about for example, DDoS attacks. Aurora DB is the database of choice here: it's 5x faster than MySQL.
INSTALLING DRUPAL ON AWS EC2 USING COMMAND LINE INSTALL
The propose of this guide is to install Drupal 100% in the cloud using an infrastructure/service that could:Īn Amazon Linux 2 Linux was the choice for O.S., given it's a custom distribution (based on Kernel 4.x), created and fine tuned for high performance on an EC2 instance. Please note that this installation is a PoC intended for study, tests and prototyping only, do not use it for a live/production site. The same services are available from other vendors like Google Cloud Platform or Microsoft Azure, achieving similar results. This guide is step by step to install Drupal in the cloud using AWS services. Please check the AWS EC2 pricing policies before creating any instances. IMPORTANT: The services used in this tutorial are paid.
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