Tag: Automation
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How Zepto Scales Millions Daily Orders with DynamoDB
Zepto transformed from a single warehouse to processing millions of daily orders by migrating from PostgreSQL to DynamoDB. Learn how they achieved 60% faster API performance, eliminated operational overhead, and scaled seamlessly from quiet periods to high-demand peaks using purpose-built database architecture.
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Meta’s Agentic Solution for Data Warehouse Access Management
Meta transforms data warehouse access with multi-agent AI system featuring specialized data-user and data-owner agents. The solution addresses growing complexity in data access patterns through context-aware permissions, granular query control, and rule-based risk management while maintaining security guardrails.
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Modernizing Batch Processing with Amazon Redshift ORDS Architecture
Discover how Vanguard modernized their legacy mainframe system using Amazon Redshift as an Operational Read-only Data Store (ORDS). Learn about their transition to cloud-native, domain-driven architecture while preserving critical batch processing capabilities and enabling cross-domain analytics with improved performance and scalability.
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Real-Time Baggage Analytics Using AWS Kinesis Data Streams
IBM and AWS developed a framework to modernize airline baggage analytics using Amazon Kinesis Data Streams, DynamoDB, Apache Flink, and QuickSight. This serverless architecture delivers real-time insights, cost savings, enhanced scalability, and improved operational efficiency for airlines.
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FutureHouse Accelerates Scientific Discovery with AI Agents Platform
FutureHouse, founded by MIT researchers, launches AI platform with specialized agents to accelerate scientific discovery. The platform automates literature review, experiment planning, and data analysis, addressing declining scientific productivity. Early results show promising applications in medical research and drug discovery.
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Amazon PackScan: Revolutionizing Real-Time Sort Center Analytics with AWS Services
Discover how Amazon transformed its logistics operations with PackScan, an AWS-powered platform that reduced data latency from 1 hour to under 1 minute. This real-time analytics solution processes 500,000 scan events per second across 80 sort centers, resulting in 25% increased throughput and 12% reduction in labor hours.
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Using Amazon Neptune for Real-time Anomaly Detection in Gaming Transactions
Discover how Zupee leveraged Amazon Neptune’s graph database to detect real-time anomalies in gaming wallet transactions. Learn how they overcame relational database limitations to build an integrity system that processes over 1 million daily transactions, identifies suspicious patterns, and ensures incentives reach legitimate users.
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How Flutter UKI Optimized Data Pipelines with Amazon MWAA
Discover how Flutter UKI transformed their data pipelines by migrating from EC2-based Airflow to Amazon MWAA, managing 5,500 DAGs and 60,000 daily runs with improved stability and reduced operational overhead.
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How Meta Manages Data Understanding at Scale: A Privacy-First Approach
Meta has developed an innovative approach to data understanding at scale through their Privacy Aware Infrastructure, using a five-step process that includes schematization, metadata prediction, annotation, asset inventory, and continuous maintenance. This system enables Meta to manage millions of data assets while protecting user privacy and driving product innovation.