We are excited to announce the latest features of our DDEV Deployment Automation! This comprehensive suite of automation scripts simplifies managing DDEV environments across local, staging, and live setups. Our solution now offers a cost-effective alternative to complex cloud Kubernetes setups, ideal for small to medium-sized projects. https://gitlab.com/mdys/ddev-deployment-automation New features include: - Comprehensive Automation: Fully automated deployment and management of DDEV environments. Utilizes DBaaS and a separate instance for file storage, mountable via SSHFS. - Individual Review Environments: Each merge request gets its own environment with a unique URL and SSL. - Secure File Transfer: Automatic downloading and management of secure files. - HTTP Authentication: Easy setup of HTTP authentication for staging environments. - Read-Only Live Data: Live data can be mounted as read-only volumes in staging and local environments.
We are excited to announce the latest features of our DDEV Deployment Automation! This comprehensive suite of automation scripts simplifies managing DDEV environments across local, staging, and live setups. Our solution now offers a cost-effective alternative to complex cloud Kubernetes setups, ideal for small to medium-sized projects. https://gitlab.com/mdys/ddev-deployment-automation New features include: - Comprehensive Automation: Fully automated deployment and management of DDEV environments. Utilizes DBaaS and a separate instance for file storage, mountable via SSHFS. - Individual Review Environments: Each merge request gets its own environment with a unique URL and SSL. - Secure File Transfer: Automatic downloading and management of secure files. - HTTP Authentication: Easy setup of HTTP authentication for staging environments. - Read-Only Live Data: Live data can be mounted as read-only volumes in staging and local environments.
A groundbreaking project has been launched to automate the analysis of Unreal Tournament 99 (UT99) demo files using OpenAI's GPT-4. The initiative aims to develop a Python script capable of accurately determining the playtime of UT99 demos by deciphering their binary structure and extracting the necessary data. The project's methodology involves generating script suggestions through OpenAI's API and refining these scripts iteratively based on their performance. This innovative approach leverages AI to tackle the complex task of gaming analytics, significantly reducing the manual effort involved in the process. By systematically refining each attempt, the project seeks to achieve precise and efficient solutions. https://gitlab.com/mdys/openai-find-ut99-demo-structure
When cleaning up theaterkompass.de, I use the following extension: https://github.com/Gernott/wp_falcleaner This can be used to free FAL from duplicates. After 20 years and over 30,000 news items, we have a lot of them.Help needed. Help needed. It works like it should. Unfortunately, no files are deleted because unlink contains a wrong path. I'll pay € 10 in MINT for whoever solves the problem. I have already mentioned one approach in the following link. https://github.com/Gernott/wp_falcleaner/issues/1 You should know about TYPO3 and PHP.
