Cloudflare Workers Interview Questions and Answers for 7 years experience
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What is Cloudflare Workers?
- Answer: Cloudflare Workers is a serverless platform that allows developers to run JavaScript code at the edge of Cloudflare's network. This enables developers to build and deploy applications with low latency and high availability.
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Explain the difference between Workers and other serverless platforms like AWS Lambda or Google Cloud Functions.
- Answer: While all are serverless, Workers' key differentiator is its edge location. Code executes at the nearest Cloudflare data center to the user, minimizing latency. AWS Lambda and Google Cloud Functions typically run in centralized data centers, resulting in higher latency for users geographically distant from those centers. Workers also offer simpler deployment and tighter integration with Cloudflare's other services.
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Describe the Workers KV storage. What are its limitations?
- Answer: Workers KV is a key-value store integrated directly with Cloudflare Workers. It's fast, simple, and designed for low-latency access from Workers code. Limitations include relatively small storage capacity compared to traditional databases, lack of complex querying capabilities (it's key-value, not SQL), and eventual consistency (data may not be immediately visible across all regions).
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How do you handle asynchronous operations in Cloudflare Workers?
- Answer: Cloudflare Workers use Promises and async/await to handle asynchronous operations. This allows for non-blocking code execution, crucial for maintaining responsiveness in a serverless environment. Libraries like `fetch` are commonly used for making external API calls asynchronously.
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What are some best practices for writing efficient Cloudflare Workers?
- Answer: Best practices include minimizing request processing time (under 100ms ideally), using efficient data structures, leveraging caching mechanisms (like KV storage or browser caching), optimizing code for size to reduce cold start times, and error handling to gracefully handle unexpected situations. Careful use of resources is essential to avoid exceeding request limits and incurring unexpected costs.
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Explain the concept of "cold starts" in Cloudflare Workers and how to mitigate their impact.
- Answer: A cold start occurs when the first request to a Worker triggers its initial instantiation. This can result in increased latency for that first request. Mitigation strategies include pre-warming the Worker (using scheduled tasks or other triggers), using smaller Worker bundles, and leveraging caching to reduce the amount of processing needed for initial requests.
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How do you handle authentication and authorization in Cloudflare Workers?
- Answer: Authentication and authorization often involve using JWTs (JSON Web Tokens) for user verification and managing permissions. Other methods include using Cloudflare Access, integrating with external authentication services (like Auth0 or Okta), or using custom solutions based on cookies or headers. Always store sensitive information securely and follow best practices to prevent unauthorized access.
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Describe your experience with Cloudflare Workers' different APIs, such as the `fetch` API.
- Answer: [Answer should detail experience with `fetch`, including handling responses, error handling, and perhaps other relevant APIs like the Crypto API, or using specific libraries and their interaction with Workers APIs. A concrete example would be ideal.]
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How do you debug Cloudflare Workers?
- Answer: Cloudflare Workers uses Wrangler for debugging. This includes logging to the console (using `console.log`), using the Wrangler CLI to view logs, and potentially utilizing other debugging tools integrated with the IDE (like browser developer tools if interacting with a frontend). Effective logging strategies are crucial for identifying and resolving issues.
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