Artem Arkhipov

“Good architecture is about balance: between innovation and simplicity, between speed and stability.”

Artem Arkhipov

Senior Full-Stack Developer at TechMagic. CoE Department Lead. Solutions Architect

Artem Arkhipov is a Senior Full-Stack Developer and Solutions Architect with over 10 years of experience in software engineering. At TechMagic, he leads the Center of Excellence department and helps teams design scalable web platforms, cloud-native systems, and modern serverless architectures. His expertise spans frontend, backend, and cloud engineering with hands-on experience in JavaScript, TypeScript, Node.js, React, Angular, AWS Lambda, API Gateway, Terraform, Docker, MongoDB, and Firebase. Artem works closely with development teams on system architecture, cloud infrastructure, CI/CD processes, performance optimization, and technology selection for complex web products. As an AWS Certified Solutions Architect: Associate and holder of Node.js certifications from The Linux Foundation, Artem has strong expertise in scalable backend systems, serverless development, and cloud architecture. Alongside project delivery, he contributes to TechMagic’s technical research, mentoring, public speaking, and engineering knowledge sharing.

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Development Cloud AWS

Cloud

14 Use Cases for AWS Lambda: How to Make the Most of It

How can you improve serverless architecture with Amazon Web Services? Explore unconventional AWS Lambda use cases.

ByArtem Arkhipov

1 October 2020 · 8 min read

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14 Use Cases for AWS Lambda: How to Make the Most of It

AWS

How to Build Serverless Apps with AWS Lambda

AWS Lambda is used by companies with established server spaces, and even more so by startups and small businesses that never had powerful in-house storages to begin with.

ByArtem Arkhipov

19 May 2020 · 7 min read

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How to Build Serverless Apps with AWS Lambda

Development

Is Firebase ML Kit your choice?

ML Kit for Firebase is a mobile SDK from Google for Android and iOS which allows using machine learning in your apps with ease. Besides it, Google also has TensorFlow Lite with a bit higher level of complexity but still quite simple to integrate and work with. Feature-wise ML Kit give you a lot of ready to use models which cover quite a lot of use cases needed within your app.

ByArtem Arkhipov

9 May 2019 · 2 min read

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Cost-Effective AWS Security Best Practices

Is your AWS environment as secure and cost-effective as it could be? Watch our webinar where AWS security experts will dive into strategies that can help you get the most out of your security investment while minimizing risks.

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