Choosing between Microsoft Azure and Google Cloud comes down to internal technology investments, workloads, and hybrid needs. Azure is optimal for businesses that rely heavily on Microsoft applications and require seamless integration or advanced hybrid cloud deployments. Google Cloud excels for companies focused on projects with a high degree of specialisation in analytics, ML, and AI development. Each platform provides scalable, reliable infrastructure. The right fit depends on company size, current software, and the targeted cloud strategy for future growth.
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Justin focuses on building data-heavy web platforms with .NET and Vue.js. As a Senior Software Engineer with ~12 years of commercial experience, he works end to end across backend services, UI delivery, and operational readin... Read More
Hadi focuses on building data-driven web systems that connect solid backend delivery with applied analytics. He is a Senior Full Stack Software Engineer with ~5 years of commercial experience, based in Germany, with fluent En... Read More
Danylo is a skilled DevOps Engineer with a strong focus on cloud infrastructure and automation. Proficient in AWS, he has spent five years managing multi-environment EKS clusters, ensuring reliability and compliance for vario... Read More
Victoriia is a skilled Flutter Developer with 4 years of experience in mobile application development. She specializes in frameworks such as Flutter, leveraging JavaScript, DART, and utilizes databases like MySQL and Firebase... Read More
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