Hey, It's Ari! 👋
Software Engineer and Architect from Indonesia 🇮🇩
I’m currently working on Cross Border Payment and Fintech Infrastructure @Xendit. Previously worked on Personalization and Recommendation @Bukalapak. I studied Informatics (Computer Science) @ITB
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Optimize Latency using Parallelization in Node.js
Struggling with slow response times in your app? Often, the delay is due to slow dependencies, like third-party APIs. If you can't speed up these external services, try optimizing your own app's performance by leveraging parallelization. Running independent tasks concurrently can significantly reduce overall processing time and improve efficiency, even if some tasks remain slow. -
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Simplify Your Code Review Process with Automation Tools!
As engineering teams grow, code reviews become challenging yet still crucial for quality control. We've all been there – nitpicking over minor issues while important stuff gets lost. These reviews often become bottlenecks, slowing us down. These kind of reviews often become bottlenecks, slowing us down, put heavy toils on developers, or in worst case, even cost us! (*Production Down*) It needs to stop! It's very possible to automate this kind of checks by leveraging existing tools and focusing on what really matters. By then, we can speed up the code review and make it more effective. Say goodbye to endless debates about tabs vs. spaces! -
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Avoid Manual Reconciliation, Solve Stuck Systems Flow using Saga Pattern
Have you ever encountered case where you need to do manual reconciliation when your systems break? This often happens in transactional flow, in which every request matters. Implementing saga pattern will help reduce manual intervention, improves system reliability, and ensures smooth user experiences when things go wrong. -
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Optimize Latency using Parallelization in Go
Struggling with slow response times in your app? Often, the delay is due to slow dependencies, like third-party APIs. If you can't speed up these external services, try optimizing your own app's performance by leveraging parallelization. Running independent tasks concurrently can significantly reduce overall processing time and improve efficiency, even if some tasks remain slow.