How Would You Describe The Amazon Web Services Value Proposition

AWS Cloud Value Suggestion

— Why adopt deject technology

This blog answers the most frequent question I get from people who don't work with or want to transition to cloud technologies.

"Why Deject?"

My answer is pretty consequent: amend security, lower costs, higher flexibility in resource direction and no infrastructure maintenance overhead. Grouping all of these and more give y'all the AWS Cloud Value Proposition.

On a high level, the Cloud Value Suggestion is:

"Safe, secure access to highly available, reliable, and durable IT resources such as computing power, storage, and databases, on an as-needed footing with pay-equally-you-go pricing."

The AWS Cloud Value Proposition has v principles. Go on in listen that these are different from the Well-Architectured Framework.

Security

AWS offers multiple Security and Compliance services for various applications. Apart from the Shared Responsibleness Model, there are options for configuring extra security measures.

Some security measures include Identity and Access Management, Fundamental Management Service, AWS GuardDuty and AWS Shield. Compliance features include PCI-DSS, HIPAA/HITECH, GDPR, and more.

Agility

Applications can exist adult and deployed globally beyond multiple geolocations inside minutes. The speed of experimentation, development and deployment is exponentially higher compared to applications developed on-bounds.

AWS Global Infrastructure offers a highly robust and reliable cloud platform to develop and deploy applications in Regions, Availability Zones, and Edge Locations.

Flexibility

AWS offers multiple services for various applications. There are over 200 products that support services to run all kinds of workloads.

AWS offers development services for applications ranging from website hosting, microservices to AI-ML and Big Data. AWS Developer Tools dispense services for Continuous Integrity / Continuous Delivery(CI/CD), Monitoring and Logging and Infrastructure as Code modelling.

Elasticity

Applications can calibration the resource required for smoothen operability based on the demand — the application capacity is sufficient to deal with the incoming requests while paying for only what they apply.

Machine Scaling provisions resources equally and when the incoming demand fluctuates over a threshold. For case, provision a new instance to remainder the load if its CPU utilization crosses 70%. When the CPU utilization falls below twoscore%, the new example is terminated.

Cost

AWS makes it like shooting fish in a barrel to calibration up and down based on demand and removes the need for an on-premise data heart to reduce costs. By using the pay as you lot get model, costs incurred can be monitored and reduced.

Cost Optimization tools help in tracking resources spread across the dissimilar services launched in various Regions and AZs. Monitoring, logging and forecasting costs help in reducing the price incurred while serving applications to the finish-users.

Conclusion

I hope that this shed some light on why I adopt cloud technology over local awarding development. Experience free to go through my AWS Sketchnotes serial — AWS from A to Z.

Thank you for reading.