What would you use for your cloud deployment today, Azure, AWS or GCP?

If I were to choose a cloud deployment platform today, I would consider factors such as the specific requirements of my project, my familiarity with the platform, and the available resources. Each cloud provider - Azure, AWS, and Google Cloud - has its strengths and is suitable for different use cases. It's essential to evaluate the features, pricing, and services offered by each platform to determine the best fit for your cloud deployment needs.

Choosing between Azure, AWS, and GCP for cloud deployment depends on several factors including your specific use case, familiarity with the platforms, required services, and budget. Here's a brief overview of each:

1. **Amazon Web Services (AWS)**: 

   - **Strengths**: Largest market share, extensive range of services, mature ecosystem, strong community support.

   - **Best for**: Scalability, flexibility, and a wide variety of services.

2. **Microsoft Azure**:

   - **Strengths**: Seamless integration with Microsoft products, strong hybrid cloud capabilities, extensive enterprise solutions.

   - **Best for**: Enterprises already using Microsoft products and services, hybrid cloud deployments.

3. **Google Cloud Platform (GCP)**:

   - **Strengths**: Strong in data analytics, machine learning, and AI, competitive pricing, high-performance infrastructure.

   - **Best for**: Big data, machine learning, and analytics.

The choice also depends on factors like the specific technical requirements of your project, the expertise of your team, and the pricing model that suits your budget. If you're already invested in a particular ecosystem (e.g., Microsoft for Azure, Amazon for AWS), that might influence your decision as well.