Best Practices for data migration

The right tool for the job
✓ #1: Know your data
✓ #2: Migrate VMs with CloudEndure
✓ #3: Migrate databases with DMS
Planning your migration
✓ #4: Understand available bandwidth
✓ #5: Assess operational impact of
migration
✓ #6: Know your data profile
✓ #7: Scale out as needed
✓ #8: Consider the data source
Transferring data
✓ #9: Preserving metadata
✓ #10: Validate your assumptions
✓ Bonus #11: Verify data transfer 

Ref: https://pages.awscloud.com/Top-10-Data-Migration-Best-Practices_2020_0124-STG_OD.html

Differences between SOA and microservices

 There are many differences between SOA and microservices that determine the use case each is suitable for:

Bibliography:

https://www.talend.com/resources/microservices-vs-soa/

	Microservices	SOA
Architecture	Designed to host services which can function independently	Designed to share resources across services
Component sharing	Typically does not involve component sharing	Frequently involves component sharing
Granularity	Fine-grained services	Larger, more modular services
Data storage	Each service can have an independent data storage	Involves sharing data storage between services
Governance	Requires collaboration between teams	Common governance protocols across teams
Size and scope	Better for smaller and web-based applications	Better for large scale integrations
Communication	Communicates through an API layer	Communicates through an ESB
Coupling and cohesion	Relies on bounded context for coupling	Relies on sharing resources
Remote services	Uses REST and JMS	Uses protocols like SOAP and AMQP
Deployment	Quick and easy deployment	Less flexibility in deployment