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.
Server-side sharded list and watch in Kubernetes changes the behavior of controllers. This is an attempt to eliminate the system ceiling when working with high-cardinality resources. When Kubernetes clusters grow to tens of thousands of nodes, controllers hit scalability limits not where one would typically expect. The problem arises at the list/watch interaction level with … Read more
DocDB architecture: how Stripe scales databases to 5 million QPS through zero-downtime data movement and strict data control.
The MRC protocol is explained in practice: how GPU networks avoid congestion, withstand failures, and scale to 100k+ GPUs without loss of efficiency.
Redis proxy becomes a key layer for cache management as load and complexity increase. Let’s explore how an architectural proxy eliminates degradation and stabilizes highload systems. The problem does not manifest immediately — until the moment Redis stops being a “transparent” component and starts dictating system behavior. In the described case, degradation began with an … Read more
Azure IaaS security is built as a layered system, where the failure of one control does not lead to the compromise of the entire platform. This is crucial for resilience against modern attacks that operate simultaneously across multiple fronts. The problem does not manifest immediately — until the classic “perimeter” model stops working. In the … Read more
Transitioning from SSH to REST-based job submission changes the behavior of the data pipeline at the architectural level. This is about manageability, fault tolerance, and resource control. The problem does not manifest immediately — until the system hits a scale limit. In this case, over 700 jobs were executed via SSH to EMR clusters. This … Read more
WebRTC routing is becoming critical for voice AI, where audio stream continuity and minimal latency are essential. We analyze how the reworking of routing changes system behavior under load. The problem does not manifest immediately — until the moment the system scales to global real-time traffic. In the classic WebRTC model of “one port per … Read more
GKE Agent Sandbox and hypercluster: how Kubernetes becomes a runtime for AI agents and addresses isolation, scale, and latency.
Multitenant GPU isolation in AI infrastructure: how to balance performance, security, and utilization across hardware, fabric, and orchestration layers.
XtraBackup parallel prepare accelerates incremental backup up to 40x. Analysis of architecture, IOPS, and trade-offs when configuring – parallel.
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