In the previous articles in this series, I’ve discussed the value proposition of cloud computing and how organizations leverage Amazon Web Services to improve their business agility and operational resilience.
In this article, I’ll talk about workforce productivity, as it relates to AWS.
You can have a more productive workforce. For example, you can improve the efficiency of both your developers and operations staff through shrinking time requirements for each step of the agile developer’s workflow. Automation of common operational maintenance tasks.
At a high level, we’re talking about moving your workforce from a tactical, undifferentiated heavy lifting around operating a traditional IT enterprise, and into strategic, differentiated work over time.
You can’t flip a switch, and it doesn’t happen overnight, but moving to AWS and investing in a DevOps operating model and higher-level services like serverless and Lambda, for example, moves you out of the day-to-day operational headaches and firefighting associated with managing IT infrastructure.
Let’s take a closer look at enabling developers more effectively. AWS can accelerate your activity by reducing undifferentiated work, and time associated with it, such as waiting to standing up build and test environments.
Automating testing and defect detection reduce overall cycle time. Also consider automated services for coding – the AWS microservices architecture. This is a suite of service-oriented, loosely-coupled, and independently updatable, self-contained AWS services, working seamlessly together via APIs. This is coupled with the power of serverless architecture using Lambda can dramatically reduce costs and time-to-market.
Stay tuned. In the next article in this series, I’ll discuss cost avoidance and operational costs when migrating to AWS.
Questions about the concepts presented in this article? Feel free to leave a comment below or drop me a line at firstname.lastname@example.org.
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