AI Agents for Code Migration in Large Repositories
How AI code migration addresses the challenge of large-scale codebase changes, and the architectural trade-offs involved in using LLM agents
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.
QUIC load balancing without state and rewriting
Stateless QUIC Load Balancing: How the Data Plane Ensures PCC, Reduces Latency, and Blocks 0-RTT Attacks Without Server Modifications
Agent Access Model Tightens Control Over Actions
The Agent Access Model transforms access control for AI agents, mitigating risks through task-scoped tokens and the verification of every action
JITA authorization through rule engine
How JITA Authorization Evolves via a Rule Engine: An Analysis of Architecture, DAGs, Observability, and Trade-offs in Access Control Systems
Scalability in Data-Intensive Systems Without Illusions
Scalability in data-intensive systems: how to choose between horizontal and vertical scaling and avoid rising latency and costs
Strong consistency without a leader in Meerkat
Leaderless consensus in Meerkat: how Cloudflare addresses strong consistency without a leader and what trade-offs in latency and availability this brings
Case folding without branching at memory speed
How to accelerate case folding to memory limits: an analysis of branchless loops, SIMD, and trade-offs in high-load code search
KEDA autoscaling by backlog in SQS
KEDA autoscaling by backlog in SQS: how to scale Kubernetes by queue instead of CPU, reducing delays and costs. –>
Disaggregated databases under the pressure of the cloud economy
Disaggregated databases are transforming cloud architecture: how decoupling compute and storage affects system scalability, cost, and fault tolerance
Cloudflare Workers Scales cdnjs to 9 Billion
Cloudflare Workers and R2 have become the foundation for cdnjs. The architecture handles 9 billion requests per day and changes the approach to CDN pipelines. The cdnjs system has hit a wall not in delivery, but in evolution. With 108,000 requests per second and a 98.6% cache hit rate, the delivery layer operated stably. Degradation … Read more