AI self-healing networks in telco cloud
AI-driven self-healing networks in telecom: How Telstra automates incident management and reduces recovery time from hours to minutes in cloud infrastructure
Infrastructure
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.
ThecoreGrid Radar: Agentic systems under control, LLM infrastructure efficiency, a new wave of GPU compilation
AI Infrastructure, GPU Compilers, Agentic Systems, Distributed Systems, High Performance Computing, HPC, Telecommunications, SRE
Virtual Tensors Eliminate Data Movement in DNN
Data movement optimization through virtual tensors: how VTC reduces latency and eliminates unnecessary operations in DNN compilation.
FSM Benchmark for Evaluating Network AI Agents
FSM benchmark network configuration: how NetAgentBench reveals failures of LLM agents in dynamic network scenarios and multi-turn behavior.
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.
Edge-cloud multi-agent with decentralization
Edge-cloud multi-agent architecture with decentralized management: how to reduce latency, traffic, and enhance resilience in mobile automation. –>
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.
KV cache optimization for multi-LoRA agents
KV cache optimization in multi-LoRA serving: how ForkKV reduces memory consumption and increases throughput of LLM inference.
Root cause analysis as code in SRE systems
Root cause analysis (RCA) hinges on scale and the human factor. Meta’s approach with DrP demonstrates how to turn debugging into a reproducible engineering process. The problem does not manifest immediately — until the system reaches organizational scale. Incidents begin to recur, but each time they are investigated anew. Knowledge of where to look for … Read more