NFQ Summit 2023 | Asynchronous processing: more speed, more complexity by Egidijus Lukauskas
Updated: November 17, 2024
Summary
The video showcases a lead software engineer discussing the shift from synchronous to asynchronous data processing in an e-commerce platform during the lockdown. He illustrates the challenges faced with synchronous processing, including processing time and data consistency issues, and the significant improvements achieved through asynchronous processing. The speaker details the system architecture changes and the benefits of parallel processing, while also addressing challenges like message delivery order and scalability. Overall, the video emphasizes the efficiency and speed enhancements brought about by asynchronous data processing, alongside the importance of tailored solutions and safeguards for successful implementation.
Introduction
The speaker introduces himself as a lead software engineer and shares his background in web development since 2005. He talks about the types of technologies he works with and the simplicity of synchronous and asynchronous data processing concepts.
Case Study: E-commerce Platform
The speaker discusses a case study of an e-commerce platform with 200,000 products that needed to go online quickly during the lockdown. He explains the initial synchronous data processing pipeline for product updates and the challenges faced due to the time-consuming process.
Challenges of Synchronous Processing
The speaker elaborates on the issues with the synchronous data processing method, including lengthy processing times, data consistency concerns, and the impact on business operations and client satisfaction.
Transition to Asynchronous Processing
The speaker describes the transition to asynchronous data processing, dividing the processing tasks into separate messages for efficient processing. He explains how this change significantly reduced processing time and improved system robustness.
System Architecture for Asynchronous Processing
The speaker presents the system architecture for asynchronous processing, involving two systems: Product Information Management (PIM) and e-commerce. He explains the parallel processes that speed up product processing and the implementation of safeguards to handle messaging complexities.
Challenges and Workarounds
The speaker discusses challenges faced during the asynchronous processing implementation, such as message delivery order, message duplicates, and data consistency issues. He explains the need for tracking progress, handling missing data, and scaling processes to improve system performance.
Conclusion: Benefits and Considerations
The speaker concludes by emphasizing the benefits of asynchronous processing for speed and efficiency. He cautions that asynchronous processing is not a one-size-fits-all solution and highlights the importance of addressing bottlenecks and implementing safeguards for successful implementation.
FAQ
Q: What are the differences between synchronous and asynchronous data processing?
A: Synchronous data processing involves tasks being executed one after the other in a predetermined order, while asynchronous data processing allows tasks to be executed independently and not necessarily in a specific order.
Q: What challenges are typically faced with synchronous data processing?
A: Challenges with synchronous data processing may include lengthy processing times, data consistency concerns, and impacts on business operations and client satisfaction due to the sequential nature of the tasks.
Q: How does asynchronous data processing improve processing efficiency?
A: Asynchronous data processing improves processing efficiency by allowing tasks to be executed concurrently and independently, reducing overall processing time and improving system robustness.
Q: What is the role of a Product Information Management (PIM) system in asynchronous data processing?
A: A Product Information Management system plays a crucial role in asynchronous data processing by managing and organizing product data, facilitating efficient processing and synchronization between systems.
Q: What are some common challenges faced during the implementation of asynchronous data processing?
A: Common challenges during asynchronous data processing implementation include maintaining message delivery order, handling message duplicates, ensuring data consistency, tracking progress, handling missing data, and scaling processes for performance improvement.
Q: Why is it important to implement safeguards in asynchronous data processing?
A: Implementing safeguards in asynchronous data processing is essential to address challenges such as message complexity, delivery order, duplicate messages, data consistency, tracking progress, handling missing data, and scaling processes effectively.
Q: What are the benefits of asynchronous processing over synchronous processing?
A: The benefits of asynchronous processing include increased speed and efficiency in processing tasks, reduced processing time, improved system robustness, and the ability to handle tasks concurrently, leading to better performance.
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