Distributed systems trade-offs without cloud illusions
Distributed systems trade-offs in real-world architecture: how the cloud changes scaling, and why replication matters more than sharding
Highload
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.
Multi-region HA and sovereign fault domains
Multi-region architecture through the lens of a sovereign fault domain: how to design high availability for a full region failure →
Time series storage at 50M samples per second
Time series storage at 50M samples/sec: multi-tenant architecture, shuffle sharding, and load control in a high load observability system
Seastar output stream fixed mixed write streams
Seastar output stream now supports mixed writes. An analysis of invariant-based testing and AI debugging in complex state transitions
Cross-site replication in PXC without loss of resilience
Cross-site replication PXC in Kubernetes: how to set up DR via Percona Operator and avoid degradation due to latency and flow control
Determinism of PLCs in Containers Without Latency Loss
Containerized PLCs on Linux provide determinism and low latency even under load. An analysis of architecture and trade-offs
Virtual Tensors Eliminate Data Movement in DNN
Data movement optimization through virtual tensors: how VTC reduces latency and eliminates unnecessary operations in DNN compilation.
Hive Federation for Data Warehouse Without Downtime
Hive federation in a data warehouse: how to move from a monolith to a distributed architecture without downtime or loss of data consistency.
Low Latency Systems and Communication Control
English:
How to design low-latency systems: controlling communication, Disruptor, Aeron, and the trade-offs between speed and architecture.
CPU-free LLM inference without CPU involvement
CPU-free LLM inference: how to remove the CPU from the critical path and stabilize latency in LLM serving architectures.