Migrating Legacy Salesforce Components to Lightning: A Comprehensive Guide

Authors

  • Abhishek Tangudu Independent Researcher, Flat No:505, Ycs Kranti Mansion, New Colony, Srikakulam, Andhra Pradesh, India - 532001,
  • Dr. Punit Goel Research Supervisor , Maharaja Agrasen Himalayan Garhwal University, Uttarakhand,
  • A Renuka Independent Researcher, Maharaja Agrasen Himalayan Garhwal University, Dhaid Gaon, Block Pokhra , Uttarakhand, India ,

DOI:

https://doi.org/10.36676/dira.v12.i2.76

Keywords:

Legacy Salesforce components, Lightning Experience, migration strategy, Lightning components

Abstract

The transfer of traditional Salesforce components to the Lightning Experience changes Salesforce ecosystem management to improve functionality, user experience, and efficiency. As Salesforce switches from Classic to Lightning, enterprises must migrate their components and customizations to Lightning's advanced features. This document covers migration best practices, methodology, and essential factors for a successful transfer. Lightning components, App Builder, and better reporting are part of the Lightning Experience, a new, straightforward interface with increased performance. However, switching from Classic to Lightning is difficult. To match the new platform's architecture and standards, legacy components, bespoke Visualforce pages, and Apex code typically need major changes. This article describes an organized approach to these difficulties, including system assessment, migration strategy development, and transition execution. A comprehensive Salesforce environment evaluation is the first step. Current use patterns, historical components, and Lightning compatibility must be assessed. Salesforce's Lightning Experience Readiness Check and Salesforce Inspector may help identify components that need change or replacement. To identify stakeholder requirements and expectations for the new system, this phase incorporates stakeholder engagement.

References

Al-Turjman, F. (2020). Data migration challenges in cloud computing: A survey. Future Generation Computer Systems, 112, 47-55. https://doi.org/10.1016/j.future.2020.06.017

Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R. H., Konwinski, A., & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50-58. https://doi.org/10.1145/1721654.1721672

Babcock, C. (2020). Managing cloud vendor lock-in: Strategies and solutions. TechTarget. https://www.techtarget.com/searchcloudcomputing/tip/Managing-cloud-vendor-lock-in-Strategies-and-solutions

Buyya, R., Yeo, C. S., & Venugopal, S. (2013). Cloud computing and distributed systems: Challenges and future directions. ACM Computing Surveys, 45(2), 1-27. https://doi.org/10.1145/2501654.2501664

Chaudhuri, S., Dayal, U., & Narasayya, V. (2021). An overview of data warehousing and OLAP technology. ACM Computing Surveys, 29(4), 365-425. https://doi.org/10.1145/382434.382435

Elmore, A. J., & Wang, R. (2013). Cloud computing for high-performance applications. IEEE Transactions on Cloud Computing, 1(1), 52-65. https://doi.org/10.1109/TCC.2013.12

Radwal, B. R., Sachi, S., Kumar, S., Jain, A., & Kumar, S. (2023, December). AI-Inspired Algorithms for the Diagnosis of Diseases in Cotton Plant. In 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (Vol. 10, pp. 1-5). IEEE.

Jain, A., Rani, I., Singhal, T., Kumar, P., Bhatia, V., & Singhal, A. (2023). Methods and Applications of Graph Neural Networks for Fake News Detection Using AI-Inspired Algorithms. In Concepts and Techniques of Graph Neural Networks (pp. 186-201). IGI Global.

Bansal, A., Jain, A., & Bharadwaj, S. (2024, February). An Exploration of Gait Datasets and Their Implications. In 2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) (pp. 1-6). IEEE.

Jain, Arpit, Nageswara Rao Moparthi, A. Swathi, Yogesh Kumar Sharma, Nitin Mittal, Ahmed Alhussen, Zamil S. Alzamil, and MohdAnul Haq. "Deep Learning-Based Mask Identification System Using ResNet Transfer Learning Architecture." Computer Systems Science & Engineering 48, no. 2 (2024).

Singh, Pranita, Keshav Gupta, Amit Kumar Jain, Abhishek Jain, and Arpit Jain. "Vision-based UAV Detection in Complex Backgrounds and Rainy Conditions." In 2024 2nd International Conference on Disruptive Technologies (ICDT), pp. 1097-1102. IEEE, 2024.

Devi, T. Aswini, and Arpit Jain. "Enhancing Cloud Security with Deep Learning-Based Intrusion Detection in Cloud Computing Environments." In 2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT), pp. 541-546. IEEE, 2024.

Chakravarty, A., Jain, A., & Saxena, A. K. (2022, December). Disease Detection of Plants using Deep Learning Approach—A Review. In 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) (pp. 1285-1292). IEEE.

Bhola, Abhishek, Arpit Jain, Bhavani D. Lakshmi, Tulasi M. Lakshmi, and Chandana D. Hari. "A wide area network design and architecture using Cisco packet tracer." In 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), pp. 1646-1652. IEEE, 2022.

Sen, C., Singh, P., Gupta, K., Jain, A. K., Jain, A., & Jain, A. (2024, March). UAV Based YOLOV-8 Optimization Technique to Detect the Small Size and High Speed Drone in Different Light Conditions. In 2024 2nd International Conference on Disruptive Technologies (ICDT) (pp. 1057-1061). IEEE.

Rao, P. R., Goel, L., & Kushwaha, G. S. (2023). Analyzing data and creating reports with Power BI: Methods and case studies. International Journal of New Technology and Innovation, 1(9), a1-a15. https://rjpn.org/ijntri/viewpaperforall.php?paper=IJNTRI2309001

"A Comprehensive Guide to Kubernetes Operators for Advanced Deployment Scenarios", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 4, pp.a111-a123, April 2023, Available at : http://www.ijcrt.org/papers/IJCRT2304091.pdf

Kumar, S., Haq, M. A., Jain, A., Jason, C. A., Moparthi, N. R., Mittal, N., & Alzamil, Z. S. (2023). Multilayer Neural Network Based Speech Emotion Recognition for Smart Assistance. Computers, Materials & Continua, 75(1).

Jain, A., Rani, I., Singhal, T., Kumar, P., Bhatia, V., & Singhal, A. (2023). Methods and Applications of Graph Neural Networks for Fake News Detection Using AI-Inspired Algorithms. In Concepts and Techniques of Graph Neural Networks (pp. 186-201). IGI Global.

Dasaiah Pakanati,, Prof.(Dr.) Punit Goel,, Prof.(Dr.) Arpit Jain. (2023, March). Optimizing Procurement Processes: A Study on Oracle Fusion SCM. IJRAR - International Journal of Research and Analytical Reviews (IJRAR), 10(1), 35-47. http://www.ijrar.org/IJRAR23A3238.pdf

"Advanced API Integration Techniques Using Oracle Integration Cloud (OIC)". (2023, April). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), 10(4), n143-n152. http://www.jetir.org/papers/JETIR2304F21.pdf

Pakanati, D., Goel, E. L., & Kushwaha, D. G. S. (2023). Implementing cloud-based data migration: Solutions with Oracle Fusion. Journal of Emerging Trends in Network and Research, 1(3), a1-a11. https://rjpn.org/jetnr/viewpaperforall.php?paper=JETNR2303001

Pattabi Rama Rao, Er. Priyanshi, & Prof.(Dr) Sangeet Vashishtha. (2023). Angular vs. React: A comparative study for single page applications. International Journal of Computer Science and Programming, 13(1), 875-894. https://rjpn.org/ijcspub/viewpaperforall.php?paper=IJCSP23A1361

Rao, P. R., Goel, P., & Renuka, A. (2023). Creating efficient ETL processes: A study using Azure Data Factory and Databricks. The International Journal of Engineering Research, 10(6), 816-829. https://tijer.org/tijer/viewpaperforall.php?paper=TIJER2306330

Rao, P. R., Pandey, P., & Siddharth, E. (2024, August). Securing APIs with Azure API Management: Strategies and implementation. International Research Journal of Modernization in Engineering Technology and Science (IRJMETS), 6(8). https://doi.org/10.56726/IRJMETS60918

Pakanati, D., Singh, S. P., & Singh, T. (2024). Enhancing financial reporting in Oracle Fusion with Smart View and FRS: Methods and benefits. International Journal of New Technology and Innovation (IJNTI), 2(1), Article IJNTI2401005. https://tijer.org/tijer/viewpaperforall.php?paper=TIJER2110001

Cherukuri, H., Chaurasia, A. K., & Singh, T. (2024). Integrating machine learning with financial data analytics. Journal of Emerging Trends in Networking and Research, 1(6), a1-a11. https://rjpn.org/jetnr/viewpaperforall.php?paper=JETNR2306001

Cherukuri, H., Goel, P., & Renuka, A. (2024). Big-Data tech stacks in financial services startups. International Journal of New Technologies and Innovations, 2(5), a284-a295. https://rjpn.org/ijnti/viewpaperforall.php?paper=IJNTI2405030

Kanchi, P., Goel, O., & Gupta, P. (2024). Data migration strategies for SAP PS: Best practices and case studies. International Research Journal of Modernization in Engineering Technology and Science (IRJMETS), 7(1), 96-109. https://doi.org/10.56726/IRJMETS60123

Goel, P., Singh, T., & Rao, P. R. (2024). Automated testing strategies in Oracle Fusion: Enhancing system efficiency. Journal of Emerging Technologies and Innovative Research, 11(4), 103-118. https://doi.org/10.56726/JETIR2110004

Singh, T., & Gupta, P. (2024). Securing Oracle Fusion Cloud with Advanced Encryption Techniques. Journal of Data and Network Security, 12(1), 7-22. https://doi.org/10.56726/JDNS2401001

Hemanth Swamy. Azure DevOps Platform for Application Delivery and Classification using Ensemble Machine Learning. Authorea. July 15, 2024. DOI: https://doi.org/10.22541/au.172107338.89425605/v1

Swamy, H. (2024). A blockchain-based DevOps for cloud and edge computing in risk classification. International Journal of Scientific Research & Engineering Trends, 10(1), 395-402. https://doi.org/10.61137/ijsret.vol.10.issue1.180

Bipin Gajbhiye, Shalu Jain, & Om Goel. (2023). Defense in Depth Strategies for Zero Trust Security Models. Darpan International Research Analysis, 11(1), 27–39. https://doi.org/10.36676/dira.v11.i1.70

Kumar Kodyvaur Krishna Murthy, Om Goel, & Shalu Jain. (2023). Advancements in Digital Initiatives for Enhancing Passenger Experience in Railways. Darpan International Research Analysis, 11(1), 40–60. https://doi.org/10.36676/dira.v11.i1.71

Aravindsundeep Musunuri, Shalu Jain, & Anshika Aggarwal. (2023). Characterization and Validation of PAM4 Signaling in Modern Hardware Designs. Darpan International Research Analysis, 11(1), 60–74. https://doi.org/10.36676/dira.v11.i1.72

Umababu Chinta, Shalu Jain, & Pandi Kirupa Gopalakrishna Pandian. (2024). Effective Delivery Management in Geographically Dispersed Teams: Overcoming Challenges in Salesforce Projects. Darpan International Research Analysis, 12(1), 35–50. https://doi.org/10.36676/dira.v12.i1.73

Dignesh Kumar Khatri, Prof.(Dr.) Punit Goel, & Ujjawal Jain. (2024). SAP FICO in Financial Consolidation: SEM-BCS and EC-CS Integration. Darpan International Research Analysis, 12(1), 51–64. https://doi.org/10.36676/dira.v12.i1.74

Saketh Reddy Cheruku, Pandi Kirupa Gopalakrishna Pandian, & Dr. Punit Goel. (2024). Implementing Agile Methodologies in Data Warehouse Projects. Darpan International Research Analysis, 12(1), 65–79. https://doi.org/10.36676/dira.v12.i1.75

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Published

2024-06-30
CITATION
DOI: 10.36676/dira.v12.i2.76
Published: 2024-06-30

How to Cite

Abhishek Tangudu, Dr. Punit Goel, & A Renuka. (2024). Migrating Legacy Salesforce Components to Lightning: A Comprehensive Guide. Darpan International Research Analysis, 12(2), 155–167. https://doi.org/10.36676/dira.v12.i2.76

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