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That brings us to the end of this article. We have done a deep dive into containers and docker and have packaged the app for deployment and distribution. The code to this repository can be found freely on my GitHub. As you may have already noticed, the app must make a new request to OpenAI for each request for an avatar that it receives. This is inefficient and could easily rack up API costs as it scales. We need to find a way to optimize the avatar load times and more importantly, the cost effectiveness. We'll dive into that in Part 3.
Container Engine: A runtime that executes and manages containers. Docker and containerd are popular container engines.
Container Orchestration tools: These are used to automate the deployment, scaling, monitoring, and management of containerized applications. These tools simplify the complexities of managing and coordinating containers across a cluster of machines. They include Kubernetes, Docker Swarm, Amazon ECS, Microsoft AKS, Google Kubernetes Engine (GKE), etc.
Container Engine: A runtime that executes and manages containers. Docker and containerd are popular container engines.
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