How can you ensure seamless integration of existing IT systems with newly scaled cloud solutions?

1. Assess the Current Platform Inventory & Gap Analysis 2. Choose the Right Cloud Service Service Types: PaaS , IaaS ,Serverless Comparison Tools: CloudCompare, Cloudability 3. Design for Cloud-Native 4. Automate Deployment and Scaling 5. Data Migration 6. Optimize Performance 7. Security and Compliance 8. Cost Management 9. Usage of Cloud Services for Faster Operations 10. Revisit

Now the most simple part. Define it :) *what needs to send to cloud Solution *when - Realtime / Batch / Event / Scheduled *how - api , files , xml , json's , and most important * what if - something fails , is it source or target to responsible to ensure data is moved don't forget to note down security requirement and constraints. Hybrid integration is the pattern , Design for Change which come from simplicity :)

Planning in Integration is mostly driven by constraint of end system - When they are ready, Do they have data, Do they do they have defined specs , there go-live and availability plans . Do ensure on day one get buy-in on dates from all end applications and check frequently if they are on track :) Have a good testing plan in place specially "integration testing" as unit testing will always work :)

Pre-Go Live is easy part since everyone have 100% focus on it as its needs to go-live on the dates but most important part is "post-go live" which is often neglected. Choose for post-live changes , maintenance, continue changes, Upgrades , Enhancements in mind Choose for Transaction visibility, observability and monitoring Try not to get locked in in Technology, Cloud, Vendor so as to ensure you can easily mange technical depth in future. Choose for simplicity Choose for Change

Have very good reason why to migrate ? Is it cost , to be near applications , decommissioning , Over-all organization tech direction or we want to be on latest tech stack :) Define Pattern Do Pilot Ready for Fallback option

Monitoring Progress Pre-Golive , since all eyes are on projects , its get done. Post-go live is to take care *Ensure all your integration, orchestration, api's , flows you can Monitoring & Observe to smallest level of of data that is moving in and out. Remember , Things are bound to fail for reasons not in your control , may be wrong data data, or new scenarios uncovered, end system changed overnight without informing , credentials expired and more ... Clear visibility enables to take corrective action without panic. There is always one Golden statement "We have send , no issues at our end , our logs says fine - ITS INTEGRATION issue " :)

It will never go completely to plan. Always ensure you have contingencies , ensure you validate processes and data integrity not just for a sample but ideally for the scope. Also estimate more time than you think is adequate , sounds like pm 101 - but stick to the basics . Move, test, validate , sign off. Per system . Detail is your friend