Cloud Native Test

Why this matters?

Containerization is a core technology in cloud-native computing, and understanding its principles is critical for deploying, scaling, and managing applications in a cloud environment.

What to listen for?

Listen for the candidate to provide a clear and concise explanation of containerization, including the different components involved (e.g., images, registries, runtimes), how it differs from traditional virtualization, and the benefits and challenges of using containers in a production environment.

Why this matters?

Microservices architecture is a popular approach to building cloud-native applications, and designing a scalable architecture requires a deep understanding of service composition, deployment, and orchestration.

What to listen for?

Listen for the candidate to provide a comprehensive explanation of microservices architecture, including how it differs from monolithic architectures, how to define service boundaries, and how to manage dependencies and versioning. Pay attention to how the candidate addresses scalability and fault tolerance, and their understanding of service discovery, routing, and load balancing.

Why this matters?

Cloud infrastructure management and security are critical skills for cloud-native professionals, as they are responsible for ensuring the reliability, availability, and security of cloud-based applications and services.

What to listen for?

Listen for the candidate to describe their experience with managing cloud infrastructure, including their experience with different cloud platforms (e.g., AWS, GCP, Azure), their knowledge of infrastructure as code, and their understanding of cloud security best practices (e.g., network security, identity and access management, compliance). Pay attention to how the candidate handles system failures and outages, and their ability to diagnose and troubleshoot issues.

Why this matters?

Continuous delivery is a key practice in cloud-native computing, and understanding how to build and deploy applications in a scalable, automated, and reproducible manner is critical for efficient and reliable software delivery.

What to listen for?

Listen for the candidate to explain the different components involved in a continuous delivery pipeline, including source code management, build automation, testing, deployment, and monitoring. Pay attention to how the candidate integrates different tools and technologies (e.g., Git, Jenkins, Kubernetes), and their understanding of the tradeoffs between speed, quality, and risk.

Why this matters?

Data storage is a fundamental aspect of cloud-native computing, and designing a fault-tolerant and highly available storage system is critical for ensuring data consistency and reliability in a distributed environment.

What to listen for?

Listen for the candidate to describe the different types of data storage systems available in a cloud environment (e.g., object storage, file storage, block storage), and how they would design a storage system that can handle failures, latency, and scalability challenges. Pay attention to how the candidate addresses data durability, consistency, and access control, and their understanding of different storage technologies (e.g., Amazon S3, Google Cloud Storage, Azure Blob Storage).