AWS

Cyber resilience on AWS: A reference approach for recovery from ransomware and destructive events

How to design systems that can recover from ransomware and destructive cyberattacks when backups, credentials, and infrastructure components have been compromised.

security storage-systems
4 min
AWS

Streaming CloudWatch metrics to VPC-based OpenTelemetry collectors using Lambda

Streaming CloudWatch metrics to internal VPC-based OpenTelemetry collectors without exposing them to the internet.

observability serverless
4 min
AWS

Real-time analytics: Oldcastle integrates Infor with Amazon Aurora and Amazon Quick Sight

Oldcastle needed to overcome the limitations of traditional ERP reporting to enable real-time analytics and dashboards for their Infor ERP system.

databases real-time-systems
5 min
AWS

Automate safety monitoring with computer vision and generative AI

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.

real-time-systems distributed-systems
5 min
AWS

How Generali Malaysia optimizes operations with Amazon EKS

Generali Malaysia needed to optimize Kubernetes operations on AWS while reducing operational overhead, managing costs, and improving security posture.

distributed-systems security
4 min
AWS

6,000 AWS accounts, three people, one platform: Lessons learned

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.

distributed-systems microservices
4 min
AWS

AI-powered event response for Amazon EKS

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.

observability ml-systems
3 min
AWS

Architecting conversational observability for cloud applications

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.

observability ml-systems
4 min