Browse past weeks of engineering reads.
Predicting and controlling infrastructure costs when deploying Eclipse Dataspace Components connectors on AWS without clear cost benchmarks.
Storing and managing petabytes of distributed video surveillance data across thousands of locations while meeting growing retention requirements and enabling operational insights extraction.
S&P Global needed to implement a disaster recovery strategy for their Capital IQ platform that could achieve rapid failover to a secondary region while maintaining data consistency for mission-critical financial operations.
Managing operational stability and resource constraints when scaling a serverless SaaS platform from thousands to over 1 million concurrent Lambda functions.
Organizations needed a unified framework to architect solutions that effectively integrate AWS cloud services with Snowflake's data platform while following best practices for both.
Engineering teams struggle to prioritize competing architectural initiatives and backlog items in a way that aligns technical decisions with business impact and resource constraints.
NYCBS needed to modernize their patient engagement and contact center infrastructure to improve patient enrollment and streamline communication with oncology patients.
Organizations must determine whether to operate under a single AWS organization or split into multiple organizations based on their operational, security, and scaling requirements.