Scalability in Data-Intensive Systems Without Illusions
Scalability in data-intensive systems: how to choose between horizontal and vertical scaling and avoid rising latency and costs
ThecoreGrid
Strong consistency without a leader in Meerkat
Leaderless consensus in Meerkat: how Cloudflare addresses strong consistency without a leader and what trade-offs in latency and availability this brings
Java Virtual Threads Scale I/O Without Illusions
Java Virtual Threads in JDK 24: Where Throughput Increases and Why ThreadLocals and Pools Break — Implementation Insights and Hidden Risks
Case folding without branching at memory speed
How to accelerate case folding to memory limits: an analysis of branchless loops, SIMD, and trade-offs in high-load code search
KEDA autoscaling by backlog in SQS
KEDA autoscaling by backlog in SQS: how to scale Kubernetes by queue instead of CPU, reducing delays and costs. –>
Disaggregated databases under the pressure of the cloud economy
Disaggregated databases are transforming cloud architecture: how decoupling compute and storage affects system scalability, cost, and fault tolerance
Cloudflare Workers Scales cdnjs to 9 Billion
Cloudflare Workers and R2 have become the foundation for cdnjs. The architecture handles 9 billion requests per day and changes the approach to CDN pipelines. The cdnjs system has hit a wall not in delivery, but in evolution. With 108,000 requests per second and a 98.6% cache hit rate, the delivery layer operated stably. Degradation … Read more
controller-runtime cache as the source of truth
controller-runtime cache: how reads, watches, and the reconcile loop work in Kubernetes, and why this impacts latency, memory, and consistency –>
Satellite inference on continents without degradation
Satellite inference on terabytes of data: how the OlmoEarth platform works and the architectural solutions that eliminate I/O and scaling bottlenecks
Serverless clean architecture without vendor lock-in
How serverless clean architecture reduces vendor lock-in and isolates business logic in a multi-cloud environment using Spring Cloud Function and Terraform CDK