From my experience having done this multiple times I would say - Ability to bucket test your traffic/user base is extremely critical. You need to be able to partition feedback loops especially if you have an ML/AI system in the mix. Think about how you can partition user signals end-to-end across new and old system. - Rollback capability is another key aspect - make sure you are able to rollback if this things go bad, this includes rolling back data - Fine grained observability - monitoring and tracing to know quickly when things are not healthy - Create a dashboard for the both user metrics and system metrics - so that you can see how things are going - If this is a backend system upgrade - ensure backward compatibility of APIs if you can

Most efficient way to do would be to do it in phased manner. For existing projects which are in maintenance, best strategy would be to first find closest counterpart in new technology and if resiliency is already built in, change the partial system, test the load and gradually move forward. Standard agile approach works best in cases where system is in high availability and there isn't an option to bring to it down. Second and most important is to test the system thoroughly in lower environments to avoid any surprises. In a-lot of cases new technologies sometime feel too good to be true in production environments, so good test cases and their execution is one of the key aspects of such lift and shift projects.

Evaluate the new the technology from compatibility point of view …. It should be done in Phased manner better to start with less critical to most critical modules. Always do validation and verification of the changes. Change and Release management should be followed properly Last but not least always work in Team by engaging with experts…

That's easy really. You don't migrate the entire system in one go. You migrate parts of it in phases. Validate each system against the existing system and then phase out that part of the old system. Migrate the backend first then the front end later so that you can use the front end to evaluate and test the new backend. Follow best practises for breaking up into microservices. Implement a blue green deployment strategy.

Upgrading system architecture with new technologies introduces risks, but reliable strategies can mitigate them. Key approaches: 1. **Thorough Planning:** Assess the current system for critical areas and perform a detailed risk analysis. 2. **Phased Rollout:** Use phase rollout to gradually introduce the new system. 3. **Continuous Monitoring:** Set up real-time monitoring and centralized error reporting. 4. **Backup and Rollback:** Regularly back up critical data and ensure easy rollback capabilities. 5. **Redundancy and High Availability:** Maintain redundant infrastructure and failover mechanism. 6. **Documentation and Collaboration:** Document processes thoroughly and ensure cross-team communication.

One approach I always use is to run both the existing and new component in parallel - ideally start with a small percentage of workloads/traffic and closely monitoring the stability of the new component. Switching workloads to the new component incrementally. Before integrating new tech into a production system, I would also ensure it's designed in a way that is compatible with the existing system and revertible (easy to roll back).

Phase wise integration is highly important while introducing new technology architectural changes into any largely scaled IT infrastructures. Following Strategies to help: Conduct thorough testing for each phase of integration: Perform extensive unit, integration, regression, performance testing and Security testing and end-to-end testing to catch potential issues early. At the end Complete phases Total integration testing to be done with 3 load levels. Implement redundancy: Use backup systems and failover mechanisms to ensure continuous operation during failures. Monitor performance: Continuously track system metrics to address issues swiftly. Since maintaining reliability is critical, above steps if followed seriously and judiciously.

Upgrading system architecture with new technology involves enhancing existing system’s structure to improve functionality,scalability and performance. To guarantee the reliability, the implementation of systematic risk analysis is essential by using interoperability assessments, system’s compatibility and integration testing to capture the residing risks in interacting system components.

Plan for the upgrade and do pre-failure analysis. What are the things that can go wrong and how will you prevent it. Migrate it in phases instead of going big bang. This allows your critical functions will still work even if whole system does not. Have a roll out strategy. If the current migration does not work, roll out to the previous working version. Monitor and fix if any issues.

A thorough planning including detailed study by subject matter experts and good number of brain storming sessions are a must. A reasonable proof of concept to gain confidence in the new architecture & technology should be performed. Socialize the migration to necessary stakeholders to avoid Eventually, a phased migration to minimize the business impact and to follow all procedures diligently to keep the whole migration auditable, transparent