Azgomi is a community application designed to facilitate communication between people in close proximity, such as event planning and organizing sporting events, and for businesses to connect with their local communities. Azgomi is a rapidly growing global phenomenon with a unique style of hyper-local community communication and business outreach. The executive statement is that they want to take the number one local community app global, and their venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10,000 miles away. Azgomi wants to expand its existing service with updated functionality in new regions to better serve its global customers. They will need to hire and train a new team to support these regions in their time zones. They must ensure that the application scales smoothly and provides clear uptime data, and that they analyze and respond to any issues that occur. Azgomi's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. Their existing APIs run on Compute Engine virtual machine instances hosted in GCP, and state is stored in a single instance MySQL database in GCP. Release cycles include development freezes to allow for QA testing, and the application has no logging. Applications are manually deployed by infrastructure engineers during periods of slow traffic on weekday evenings, and there are basic indicators of uptime. Alerts are frequently fired when the APIs are unresponsive. Azgomi's investors want to expand their footprint and support the increase in demand they are seeing. The business requirements are to expand availability of the application to new regions, support 10x as many concurrent users, ensure a consistent experience for users when they travel to different regions, obtain user activity metrics to better understand how to monetize their product, ensure compliance with regulations in the new regions (for example, GDPR), reduce infrastructure management time and cost, and adopt the Google-recommended practices for cloud computing. These practices include developing standardized workflows and processes around application lifecycle management, defining service level indicators (SLIs) and service level objectives (SLOs). Technical requirements include providing secure communications between the on-premises data center and cloud-hosted applications and infrastructure, providing usage metrics and monitoring, requiring authentication and authorization for APIs, implementing faster and more accurate validation of new features, logging and performance metrics must provide actionable information to be able to provide debugging information and alerts, and the ability to scale to meet user demand. What strategies can Azgomi implement to enhance their API development speed, while still ensuring that the testing environment is stable and meets the feature requirements of the QA team?