Browse past weeks of engineering reads.
Generali Malaysia needed to optimize Kubernetes operations on AWS while reducing operational overhead, managing costs, and improving security posture.
Organizations migrating to or operating in the cloud encounter hidden and unexpected costs due to suboptimal architectural decisions, resource misconfigurations, and lack of adherence to cloud best practices.
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.
Santander struggled to manage cloud infrastructure supporting billions of daily transactions across 200+ critical systems, facing complexity and scalability challenges in their banking operations.
Organizations operating under European digital sovereignty requirements need resilient failover capabilities, but regulatory constraints on data residency and governance make cross-partition (sovereign-to-commercial cloud) failover architecturally complex.
Salesforce's Cluster Autoscaler could not efficiently scale and manage node provisioning across their fleet of 1,000+ EKS clusters, likely suffering from slow scaling decisions, suboptimal bin-packing, and operational complexity at massive scale.
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.
Agricultural supply chains (cotton/food) lack end-to-end traceability, making it difficult to verify sustainability claims, track climate impact, and ensure circularity across complex multi-party value chains.
Securing Amazon Elastic VMware Service (EVS) environments requires centralized traffic inspection across multiple VPCs, on-premises data centers, and internet egress points, which is complex to architect and implement.