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
Architecture and Infra
Architecture and Infra on ThecoreGrid covers the foundations of designing and operating scalable, reliable systems at BigTech level. This category brings together system design and infrastructure practices: distributed architectures, highload patterns, cloud-native platforms, and core layers such as compute, networking, and storage. We focus on real engineering decisions — how to balance reliability, performance, cost, and long-term system evolution. Topics include Infrastructure as Code, Kubernetes, multi-region deployments, traffic management, and platform design. Content is grounded in production experience: incident post-mortems, large-scale migrations, and lessons from operating infrastructure under heavy load. Instead of abstract theory, you get practical trade-offs, proven patterns, and insights drawn from real-world systems. Architecture & Infra is built for architects, backend and platform engineers, DevOps teams, and SREs responsible for complex distributed systems and mission-critical infrastructure.
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
Client-side load balancing at 1M RPS
How client-side load balancing reduces latency at 1M RPS: An analysis of architecture, consistent hashing, and the trade-offs of high fan-out systems
LLM serving platform vLLM and Triton in production
LLM serving platform based on vLLM and Triton: architecture, trade-offs, and bottlenecks in production when scaling inference