Skywing: a platform for decentralized math computing
Skywing separates mathematical logic and execution infrastructure for decentralized mathematical computing in unreliable environments and supports asynchronous workflows.
Highload on ThecoreGrid focuses on designing and operating systems that handle massive scale, traffic, and data under strict reliability requirements.
We explore architectures and patterns for horizontal scaling, load distribution, fault tolerance, and performance optimization in distributed environments. Topics include sharding, replication, caching strategies, queueing systems, backpressure handling, and latency reduction under peak load. We analyze real-world trade-offs between consistency, availability, and cost, along with failure scenarios and recovery strategies. Content is grounded in BigTech practices, including incident post-mortems and lessons from operating systems at global scale. You’ll find deep dives into infrastructure behavior, traffic management, autoscaling, and resilience engineering. Instead of simplified guides, the Highload tag delivers practical engineering insights for backend engineers, architects, platform teams, and SREs responsible for building and maintaining systems that must perform reliably under extreme demand.
Skywing separates mathematical logic and execution infrastructure for decentralized mathematical computing in unreliable environments and supports asynchronous workflows.
Structural Epistemic Cut in EFD-based quorum control: why more votes can still share one fault, and how DAQC enforces safer admission.
CLASP for serverless stream processing: why chained requests change worker capacity, how operator placement affects latency, and how state migration keeps state local.
FFI for Rust and C# in ScyllaDB: how we built an async bridge, avoided hidden marshalling errors, and maintained low latency.
GitFarm from Uber eliminates local Git clones in large monorepos and reduces client resources, speeding up checkout and Git workflows.
Netflix commerce architecture: how payments, billing, and entitlements evolved from the U.S. DVD model to a global platform with local payment options.
Predictive autoscaling for GPU workloads in Kubernetes reduces the gap between traffic spikes and GPU provisioning. In this case, the system failed because reactive scaling was always late. The system encountered not a bug, but the physics of infrastructure. A critical service crashed under load rather than simply degrading: users experienced 15–20% errors, while Kubernetes … Read more
DNS cache memory in Big Pineapple: how five storage changes cut footprint, improved locality, and reduced lookup latency at Cloudflare scale.
Signature Search in tree networks: probabilistic analysis of five strategies, exact and approximate time estimation, occupancy and synchronization overhead.
MetaRoCE for AI Infrastructure: How Offloading Intelligence to the NIC Helps Ethernet Maintain Throughput, Low Tail Latency, and Graceful Recovery.
Controls: ← → to move, ↑ to rotate, ↓ to drop.
Mobile: use buttons below.