AI compute infrastructure Stargate how to scale 10GW
AI compute infrastructure as the foundation for scaling models. An analysis of Stargate, architecture, partnerships, and growth constraints.
Infrastructure on ThecoreGrid covers the design, operation, and evolution of the foundational systems that power modern software at scale.
We explore compute, networking, and storage layers, along with virtualization, containers, and cloud platforms in highload environments. The focus is on production-grade engineering: reliability, fault tolerance, capacity planning, cost efficiency, and secure system design. Topics include Infrastructure as Code, automation, provisioning, multi-region setups, traffic routing, and failure recovery. We analyze real-world trade-offs and operational challenges, supported by BigTech practices, incident post-mortems, and lessons from large-scale infrastructure failures. You’ll find deep dives into observability, performance tuning, and platform reliability under dynamic workloads. Instead of basic setup guides, the Infrastructure tag delivers practical insights for platform engineers, DevOps teams, SREs, and architects responsible for building and maintaining robust, scalable, and efficient infrastructure systems.
AI compute infrastructure as the foundation for scaling models. An analysis of Stargate, architecture, partnerships, and growth constraints.
HSM backup vault enhances end-to-end encryption for backups. The architecture eliminates platform access to keys and introduces verifiable trust. The problem arises when backups leave the device and enter the cloud. Even with end-to-end encryption, the question remains: who controls the recovery keys and how can it be proven that the provider does not have … Read more
Security of AI agents in Kubernetes: why Jobs and Vault change the model of isolation, secrets, and trust in dynamic workloads.
CDN error handling: why edge errors lose context and how to architecturally prepare for failures at the CDN level.
BYOC Logs are transforming log management: storing data in your own infrastructure while enabling unified observability without sacrificing control or scalability
KV cache restoration in LLM serving: how 3D parallelism reduces TTFT and eliminates bottlenecks in compute and I/O. –>
How Kubernetes controller staleness affects system behavior and how version 1.36 addresses the issue through AtomicFIFO and resource version control
Grafana observability dashboards: how to configure services and perform drill-down analysis without leaving the application, while reducing observability fragmentation
How optimizing split learning through SFC reduces latency in distributed AI by jointly managing placement and routing
pgBackRest remains a key tool for PostgreSQL backup, but changes surrounding the project raise questions about sustainability and support. A critical part of the stack relies on a small group of maintainers. pgBackRest has long been the de facto standard for PostgreSQL backup and recovery. It is widely used in production and integrated into data … Read more
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