Browse past weeks of engineering reads.
Industrial environments require generative AI capabilities to detect and resolve operational issues quickly, but deploying AI models reliably in offline or edge scenarios with limited connectivity is challenging.
Extending AWS CloudFormation with custom resources while maintaining resilience and consistency across multiple AWS regions.
Predicting and controlling infrastructure costs when deploying Eclipse Dataspace Components connectors on AWS without clear cost benchmarks.
Mapfre USA needed to detect insurance fraud in claims more effectively by moving beyond traditional rules-based and manual investigation approaches to leverage machine learning on large volumes of structured and unstructured data.
AWS customers running critical workloads need to prioritize and respond to heterogeneous service health events with varying operational impact.
Data pipelines suffer from duplicated transformation logic and cascading changes across multiple workflows as they scale from simple scripts to complex systems.
Managing operational stability and resource constraints when scaling a serverless SaaS platform from thousands to over 1 million concurrent Lambda functions.
Organizations struggle to systematically test system resilience and discover dependencies without manual effort, and need to integrate resilience testing into their CI/CD pipelines.
Avanse Financial Services needed to unify fragmented data engineering, analytics, and AI workflows across separate systems while maintaining governance and scalability for financial analytics.
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.
NYCBS needed to modernize their patient engagement and contact center infrastructure to improve patient enrollment and streamline communication with oncology patients.
How to design systems that can recover from ransomware and destructive cyberattacks when backups, credentials, and infrastructure components have been compromised.
Streaming CloudWatch metrics to internal VPC-based OpenTelemetry collectors without exposing them to the internet.
Oldcastle needed to overcome the limitations of traditional ERP reporting to enable real-time analytics and dashboards for their Infor ERP system.
Detecting safety hazards in real-time across hundreds of distributed operational sites using video feeds while maintaining low latency and managing the computational complexity of processing multiple camera streams.
Generali Malaysia needed to optimize Kubernetes operations on AWS while reducing operational overhead, managing costs, and improving security posture.
Managing 6,000 AWS accounts for a multi-tenant serverless SaaS platform with only three people created massive operational challenges around automation, observability, and cost management at scale.
Responding to operational events in Amazon EKS clusters is often manual, slow, and requires deep expertise, making it difficult to handle incidents at scale across complex Kubernetes environments.
Diagnosing and resolving issues in complex Kubernetes clusters is slow and requires expert knowledge, leading to high Mean Time to Recovery (MTTR) and heavy reliance on specialized engineers for root cause analysis.