Patterns of Good Cloud Data Architecture
Learn about five principles for cloud-native data architecture that are useful for designing and operating reliable, cost-effective, and efficient systems in the cloud.
Cloud offers incredible capabilities, but without deliberate design decisions, the architecture can become fragile, expensive, and challenging to maintain. Most cloud environments have not just one application but several technologies that need to be integrated. The overarching goal of cloud architecture is to connect the dots to provide customers with a valuable online platform.
Let’s look at five cloud-native architecture principles essential for creating a good design:
Reliable: The system should continue to work correctly regardless of system faults or human errors.
Efficient: The system must use computing resources efficiently to meet system requirements and maintain efficiency as the business grows.
Maintainable: The world is fluid. Good data architecture should be able to respond to changes within the business and new technologies to unlock more possibilities in the future.
Cost-optimized: The system should leverage various payment options to achieve cost efficiency.
Secure: The system should be hardened to avoid insider attacks.
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