Tuesday, June 30, 2015

AKF’s Most Commonly Adopted Architectural Principles


AKF’s Most Commonly Adopted Architectural Principles
N + 1 Design
At least one additional instance of that system in the event of failure.

Design for Rollback
Design to Be Disabled
This will give you additional time to “fix forward” or ensure that your system doesn’t go down as a result of a bug that introduces strange, out-of-bounds demand characteristics to the system.

Design to Be Monitored
identifying services that are alive or dead, examining or polling log files, collecting system-related data over time, and evaluating end-user response times.
applications and systems are designed from the ground up to be if not self-healing, then at least self-diagnosing.

Significant standard deviations from the mean could be “alerted” for future or immediate action depending on the value. This approach leverages a control chart from statistical process control.
Rates of errors, the response time from other services

Design for Multiple Live Sites
Ensuring that the business environment in which you operate, including contracts, partners, and facilities, is also scalable.

Use Mature Technologies

Asynchronous Design

Stateless Systems
consider storing state with the end user rather than within your system. If that is not possible, consider a centralized state caching mechanism that keeps state data off of the application servers and allows for its distribution across multiple servers.

Scale Out, Not Up
Design for at Least Two Axes of Scale

Buy When Non-Core
Use Commodity Hardware
Build Small, Release Small, Fail Fast
Isolate Faults
Segment your product such that the failure of a service or subservice does not affect multiple other services. Alternatively, segment your customers such that failures for some customers do not affect failures for your customer base in its entirety.

Automation over People

SMART guidelines: Specific, Measurable, Achievable, Realistic, Testable
AKF’s Most Commonly Adopted Architectural Principles

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