Deploy Memcached as a cache for MySQL and PostgreSQL on Arm-based servers
Introduction
Deploy Memcached as a cache for MySQL on an AWS Arm based Instance
Deploy Memcached as a cache for MySQL on an Azure Arm based Instance
Deploy Memcached as a cache for MySQL on a Google Cloud Arm based Instance
Deploy Memcached as a cache for Postgres on an AWS Arm based Instance
Deploy Memcached as a cache for Postgres on an Azure Arm based Instance
Deploy Memcached as a cache for Postgres on a Google Cloud Arm based Instance
Next Steps
Deploy Memcached as a cache for MySQL and PostgreSQL on Arm-based servers
Introduction
Deploy Memcached as a cache for MySQL on an AWS Arm based Instance
Deploy Memcached as a cache for MySQL on an Azure Arm based Instance
Deploy Memcached as a cache for MySQL on a Google Cloud Arm based Instance
Deploy Memcached as a cache for Postgres on an AWS Arm based Instance
Deploy Memcached as a cache for Postgres on an Azure Arm based Instance
Deploy Memcached as a cache for Postgres on a Google Cloud Arm based Instance
Next Steps
Who is this for?
This is an advanced topic for developers who want to use memcached as their in-memory key-value store.
What will you learn?
Upon completion of this Learning Path, you will be able to:
- Deploy memcached as a cache for MySQL on AWS, Azure and GCP Arm based Instance
- Deploy memcached as a cache for PostgreSQL on AWS, Azure and GCP Arm based Instance
Prerequisites
Before starting, you will need the following:
- An Amazon Web Services (AWS) account
- An Azure portal account
- A Google Cloud account
- A machine with Terraform , AWS CLI , Google Cloud CLI , Azure CLI , AWS IAM authenticator , and Ansible installed
Summary
This summary was drafted with an approved AI-assisted workflow and reviewed by Arm contributors before publication. Human technical review remains part of the process so the final page reflects engineering rigor, accuracy, and Arm editorial standards.
Frequently asked questions
These FAQs were drafted with an approved AI-assisted workflow and reviewed by Arm contributors before publication. Human technical review remains part of the process so the final page reflects engineering rigor, accuracy, and Arm editorial standards.
/tmp/inventory automatically. Use the file when you run ansible-playbook playbook.yaml -i /tmp/inventory.terraform destroy to delete the resources created by your deployment.