PHP-FPM tuning: Using ‘pm static’ for max performance Lets take a very quick look at how best to setup PHP-FPM for high throughput, low latency and a more stable use of CPU and memory. By default, most setups have PHP-FPM’s PM (process manager) string set to dynamic and there’s also the common advice to use ondemand if you suffer from available memory issues. However, lets compare the two management options based on php.net’s documentation and also compare my favorite for high traffic setups… static pm: pm = dynamic – the number of child processes is set dynamically based on the following directives: pm.max_children, pm.start_servers,pm.min_spare_servers, pm.max_spare_servers . pm = ondemand – the processes spawn on demand (when requested, as opposed to dynamic, where pm.start_servers are started when the service is started. pm = static – the number of child processes is fixed by pm.max_children . …see full list of global php-fpm.conf directives for furt
Deploy your Symfony application on AWS Elastic Beanstalk using CloudFormation best php training trivandrum
Deploy your Symfony application on AWS Elastic Beanstalk using CloudFormation The problem I was looking for a way to quickly create a Minimum Viable Stack on AWS with the following properties: Be setup in less than 10min Be able to run a Symfony application Using PostgreSQL on RDS Deployment is easy and fast Non AWS experts can create the MVS But I couldn’t find any out-of-the-box tools so I looked for a solution. Here I describe my journey which ended up with a ready-to-go CloudFormation configuration. Elastic Beanstalk I started working with Elastic Beanstalk , the PAAS of AWS, which seemed to be exactly what I needed . Thanks to this article on Elastic Beanstalk configuration files and this one on how to deploy a Symfony application, I was able to run my application after some debugging cycles . My problem after that was that I couldn’t reuse my configuration to recreate the whole environment (Elastic Beanstalk instances + RDS instance) for a new project