Flockx makes extensive use of Google Cloud server instances and authentication systems. It also leverages Google Cloud on the application layer for single sign-on (SSO), authentication, and credential management systems that support Android ecosystems. Flockx has prioritized Google sign-in, which enables users to access the application through their existing Google accounts.

Google Kubernetes Engine and Compute Engine provide infrastructure for AI agents to be deployed as individual instances within the Kubernetes cluster. "It means that we can accelerate development and deployment cycles and get to market faster with new products and services," says Bleibtrey.

Autoscaling capabilities in Compute Engine have been a game-changer for Flockx. "While we don't need to build for massive scale from the outset, we can easily adapt and grow as our business expands," says Bleibtrey. "It enables us to focus on developing our core business logic without being constrained by our infrastructure."

During a seasonal activation, Flockx, running on Google Cloud, successfully processed more than a hundred thousand AI runs in a single weekend. "We welcome viral growth and are confident in Google Cloud’s ability to handle the load," says Bleibtrey.

Autoscaling helps reduce cost by minimizing instances of over-provisioning and under-provisioning. Bleibtrey gives the example of scaling down to the bare minimum during pilot projects, feature tests, and scalability testing. "This has been crucial for managing our budget and securing additional investment," he says.

Another advantage of Google Cloud is its integration with other vendors and solutions in the Flockx technology stack. This includes Elasticsearch and Elastic Observability. "We were keen to take advantage of Elastic features including semantic search, keyword search, fuzziness, proximity, scaling, and custom prioritization," says Bleibtrey.

Running Elastic solutions on Google Cloud eliminates overheads associated with self-hosting and licensing, enabling Flockx to focus on business growth and innovation. Additionally, the ability to easily scale Elastic instances while closely monitoring metrics like memory and CPU usage has enabled Bleibtrey and his team to optimize resource allocation and prevent performance bottlenecks.

Flockx runs several other AI technologies on Google Cloud. These include Fetch.ai for connecting Community AIs to other agents, and Neo4j to analyze and organize complex data for its AI systems.

The move to Google Cloud, along with the deployment of Elastic, also helped capture the attention of investors. "Proving the efficiency and value of your technology stack and focusing resources on innovation is a great message for people investing in the business," says Bleibtrey.

Most of all, Google Cloud supports the business in its core mission to help people put down their phones, participate in real-world events, and meet new friends. "With Google Cloud at the heart of our solution, we can continue on our path to build a more human AI interface that brings people together and reduces loneliness," says Bleibtrey.