Duraid Wadie

Head of M&A Architecture

Medium Article ยท 2 min read ยท Dec 12, 2018

Navigating the Cloud Lock-In Trap

Cloud ComputingArchitectureAWSServerlessCloud MigrationSystem Design ConceptsDeploymentSoftware Development

Article summary

Navigating the Cloud Lock-In Trap When we first migrated to the cloud, it felt revolutionary. AWS provided us immediate scale, effortless deployments, and powerful managed services. Our infrastructure became resilient, and development teams shipped faster than ever. However, as we deepened our reliance on AWS-specific services, subtle limitations began to surface-our agility was quietly slipping away. Initially unnoticed, the cost of our commitment to a single cloud provider became increasingly evident. Proprietary services like Lambda, DynamoDB, and Kinesis made our applications efficient, but simultaneously, they tied us irreversibly to AWS. We discovered this lock-in precisely when flexibility mattered most-negotiating contracts, evaluating alternatives, and managing escalating costs.

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Practical takeaway

The main idea behind Navigating the Cloud Lock-In Trap is to help teams move from broad theory to clear, repeatable decision making. When teams apply this thinking, they reduce ambiguity and focus on improvements that deliver measurable momentum.

Example scenario

Imagine a team facing competing priorities. By applying the ideas in Navigating the Cloud Lock-In Trap, they can map dependencies, identify risks and choose the next move that produces progress without destabilizing their system.

Common mistakes to avoid

How to apply this in real work

Start by identifying where Navigating the Cloud Lock-In Trap already shows up in your architecture or delivery flow. Then pick one area where clarity would reduce friction. Apply the idea, measure its effect and share the learning.

Signs you are doing it correctly

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