DEV·2yHow Senior Software Engineers Document Their Project
Software engineers often dislike documenting projects, but it distinguishes good engineers from bad. The Architectural Decision Record (ADR) is highlighted as an effective way to document architectural changes, providing benefits like aiding memory, improving team learning, and assisting future developers. The post outlines the importance of ADRs and provides a template and examples for implementation.
Community Picks·1yLightweight Charts™ library — TradingView
TradingView's Lightweight Charts library offers a compact, feature-rich solution for interactive, high-performance charts. At just 45 KB, it uses HTML5 Canvas technology and supports streaming updates for custom data. The library is open-source, developer-friendly, and accessible, and is trusted by millions of traders and companies. It provides an easy-to-integrate charting solution with flexible styling options and is designed to be responsive and mobile-friendly.
Nordic APIs·2yHow Modern Banking Is Using GraphQL
GraphQL is revolutionizing the banking industry by providing flexible and efficient data querying and integration. Major banks like National Australia Bank and Varo are leveraging GraphQL to streamline their systems, reduce duplication, and improve the user experience. Institutions like Goldman Sachs and BBVA are also adopting GraphQL to enhance data connectivity and security, showcasing the language's versatility and scalability in handling complex financial data needs.
Community Picks·2y25 Reasons Why Financial Enterprise Companies Use Java
Financial enterprise companies heavily rely on Java due to its maturity, stability, and broad adoption. The Java Virtual Machine (JVM) is lauded for its robust engineering, making Java ideal for large-scale, mission-critical systems, especially in fintech where accuracy and reliability are essential. Java's strong, static typing, extensive standard libraries, and a large pool of experienced developers further cement its dominance in the financial sector.
MongoDB·2yAnti-Money Laundering and Fraud Prevention With MongoDB Vector Search and OpenAI
Anti-money laundering (AML) and fraud prevention have evolved significantly, from manual processes and rule-based systems (Risk 1.0) to predictive modeling (Risk 2.0), and now to real-time analytics with vector search (Risk 3.0). MongoDB Atlas Vector Search, integrated with OpenAI embeddings, offers a powerful solution for detecting fraud and AML by addressing limitations like lack of context and manual feature engineering. This holistic approach leverages real-time data and continuous monitoring, making fraud detection more accurate and less reliant on extensive human oversight.
Materialized View·1yS3 Is the New SFTP
Fintech companies handle diverse data processing tasks, including shuffling files between vendors and partners, often using SFTP. Transitioning to modern data lakehouses using S3, Apache Iceberg, and Apache Parquet can centralize and streamline this process. This new method allows ease of access and management while maintaining advantages such as fast transfers and central access control. Although challenges like schema evolution remain, adopting data lakehouses can benefit companies seeking efficient and scalable data solutions. The trend is supported by rising customer demand and the involvement of startups providing innovative data export platforms.
Codemotion·2ySummer Breeze Makes me Read Fine: 10 Tech Books for Your Vacations
This post lists 10 recommended tech books for programmers to read during their summer vacations. It includes titles covering a variety of topics, from Linux and software architecture to AI, fintech, and game development. Each book is aimed at enhancing knowledge in specific areas such as algorithms, edge computing, data privacy, and digital sustainability.
Mercari Engineering·2yDesigning a Zero Downtime Migration Solution with Strong Data Consistency – Part I
This post provides an overview of a planned migration from a single-entry bookkeeping balance microservice (v1) to a double-entry bookkeeping balance microservice (v2) for a payment platform. The v2 service aims to reduce development costs and provide more organized and modern code. The post outlines the tech stack, current architecture, and different aspects of accounting, historical data, and bookkeeping services involved in the migration. The plan is spread across five parts, each covering different stages and elements of the migration.
Substack·2yHow to make money selling money
Fintech startups often fail because they misunderstand their core business, which is not just selling a product but selling money and managing risk. Traditional financial institutions have a major advantage in pricing and shaping risk, which fintechs must also master to succeed. This involves novel approaches to mitigate risk after 'selling money', such as innovative customer selection and risk management strategies. Successful examples include Brex and Afterpay, which exploited gaps between perceived and actual risks.
Code Like A Girl·2yHow AI & Machine Learning is Changing the Fintech Industry
AI and Machine Learning (ML) are revolutionizing the fintech industry by improving customer experience, personalizing marketing, enhancing security and fraud detection, optimizing processes, and providing more accurate credit scoring. Financial institutions are leveraging these technologies to boost revenues, handle large volumes of customer interactions, and better meet market needs through personalized services and data-driven insights.
Hacker News·2yThe new fintech stack is... open source?
The article discusses the use of open source in the fintech industry, highlighting its advantages and where it works best. It also compares open source to closed source models and provides examples of open source projects in the financial services stack.
Hacker News·2yCringey, But True: How Uber Tests Payments In Production
Uber tests its payment systems in production to ensure high-quality software by catching the exotic bugs that staging environments can't reveal. They follow a strategy that includes rolling out changes against business metrics, carefully selecting initial rollout regions, and using canary deployments to mitigate risks. This approach allows them to detect issues early and minimize the impact on their users.
Coding with Lewis·2yHow Uber Handles TRILLIONS of Transactions
Uber handles trillions of transactions by evolving from a monolithic application to a microservices architecture using Postgres and MySQL. They developed their own immutable ledger system called Ledger Store, which sits above existing NoSQL databases, ensuring the integrity of financial transactions. Key features include sealing, manifest for security, and the use of Apache Kafka for real-time data streaming. They managed a complex database migration with minimal disruption by employing strategies like checkpointed data processing and the Shadow Rider system for simultaneous database operations.
The Verge·2yPayPal has a new logo that makes it look just like everything else
PayPal has unveiled a new logo designed by Pentagram, featuring plain black text in contrast to its previous blue, slanted design. The change, part of a broader branding update, aims to distinguish PayPal from other fintech companies that commonly use blue. The new logo includes a bespoke typeface called PayPal Pro, and the classic PayPal Ps will still appear in digital payments. The new design will officially launch alongside a new debit card and an ad campaign starring Will Ferrell.
Medium·2yImplementing Deep Learning for Fraud Detection in FinTech
Financial fraud is a significant issue affecting global companies, costing an estimated 5% of their revenue annually. Financial institutions and regulatory bodies are adopting advanced measures, including deep learning, to combat this problem. Deep learning excels at recognizing patterns and predicting fraud, offering scalability and reduced false positives. Companies like PayPal and Mastercard are already utilizing these techniques. However, challenges such as data privacy, transparency, and high computational costs must be addressed. The future promises more accessible and adaptive AI systems, better managing fraud detection while adhering to data privacy regulations.
Coins Bench·2yBlockchain: Is it a miracle technology or just hype?
Blockchain is a decentralized, transparent, and secure technology ideal for storing data like real estate registries and medical records. It enables process automation and ensures immutability of recorded information. However, it faces limitations such as scalability issues, significant energy consumption, and regulatory challenges. Blockchain has varied applications from financial services to digital identification, though understanding its pros and cons is essential for effective use.
TechCrunch·2yYou can now track and manage bank transactions with CRED
CRED, a Bengaluru-based fintech startup, has introduced a new feature called CRED Money to help users manage and gain insights into their cash flow by consolidating financial data from multiple bank accounts. This feature leverages India’s account aggregator framework to ensure secure, purpose-specific data sharing and uses data science algorithms to analyze transactions and provide actionable insights. Set to launch in phases, CRED Money is part of the startup's broader effort to enhance personal finance management among its affluent user base.