InfoQ Homepage Infrastructure Content on InfoQ
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OVHcloud Raises Prices as AI Memory Demand Reprices Non-AI Infrastructure
OVHcloud will raise prices from September, with 2026-edition gaming servers up 87 percent and other recent servers 40 to 59 percent. Founder Octave Klaba says memory cost six times more in June than a year earlier, as RAM suppliers shifted capacity toward high-bandwidth memory for AI. AWS, buying years ahead, has repriced one reserved GPU product.
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Uber’s Zero Growth Stack: Scaling Services, While Optimising Infrastructure and AI Cost
Uber's "Zero Growth Stack" focuses on scalable infrastructure that separates capacity growth from business demand, reducing hardware needs while enhancing service scaling. Central to this is garbage collection optimisation. Additionally, generative AI is integrated into development, elevating developer productivity while introducing cost management measures to maintain economic efficiency.
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Netflix Details its In-House LLM Serving Platform with Triton and vLLM
Netflix has described the production lessons behind bringing LLM inference into its internal serving platform, including the challenges of supporting different model sizes, hardware requirements, and rapidly evolving inference engines.
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QCon AI Boston: Production AI Moves beyond Prompts to Platforms, Harnesses, and Evals
QCon AI Boston 2026 focused on the operational challenges of deploying AI agents, emphasizing the need for robust production infrastructure. Key themes included improving context management, ensuring security through a "harness" around agents, and adopting a comprehensive engineering model for AI.
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Cycle Introduces EU Control Plane as Sovereignty Debate Continues
Cycle recently introduced a separate EU-based control plane, allowing European customers to keep platform management data and telemetry within Europe. The new offering is designed to improve compliance, operational isolation, and responsiveness for European organizations.
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Shifting Platform Development from Projects to Products
A company shifted from project- to product-thinking after their platform outgrew single-team use. The limitations that they felt with their platform were one-off deliveries, lack of product vision, and weak feedback loops. They have moved toward a self-service, API-driven, multi-tenant infrastructure with clearer ownership and better abstractions.
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AWS Replaces Fat-Tree Data Center Networks with Random Graph Theory, Cutting Routers by 69%
AWS disclosed that Resilient Network Graphs, a flat network architecture based on quasi-random graph theory, is now the default for most new data center builds. The design replaces fat-tree hierarchies with direct ToR-to-ToR mesh connections using passive optical ShuffleBoxes, cutting routers by 69%, boosting throughput by 33%, and reducing network power consumption by 40%.
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Inside Google’s System for Coordinated A/B Testing across its Global Service Fleet
Google has shared details of its fleet wide large scale A/B experimentation system designed to standardize experiment assignment, exposure logging, and configuration propagation across distributed services. The approach enables consistent measurement across products, reduces experiment conflicts, and improves reliability of data driven decision making at scale.
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AI-Assisted Migration Tool Helps Teams Move from ingress-nginx to Higress in Minutes
The Cloud Native Computing Foundation has highlighted a new AI-assisted migration approach that enabled engineers to migrate 60 ingress-nginx resources to Higress in roughly 30 minutes, demonstrating how artificial intelligence is increasingly being applied to modernize Kubernetes networking and gateway infrastructure.
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Swiggy Improves Search Autocomplete Using Real Time Machine Learning Ranking
Swiggy detailed real-time machine-learning ranking system for autocomplete built on OpenSearch. The architecture separates candidate generation and ranking, uses feature stores for real time signals, and applies learning to rank models for improved relevance. It replaces heuristic ranking while maintaining strict latency constraints and enabling continuous model updates from user behavior signals.
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Cloudflare Optimizes Edge Stack for High-Core CPUs instead of Large Cache
Cloudflare recently introduced its Gen 13 servers, marking a shift in how its network handles traffic. Instead of relying on large CPU caches for speed, the company redesigned its software to leverage many more processor cores working in parallel in its latest AMD-based servers.
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Dropbox Collaborates with GitHub to Reduce Monorepo Size from 87GB to 20GB
Dropbox reduced its backend monorepo from 87GB to 20GB by optimizing Git delta compression in collaboration with GitHub. The changes improved clone times, CI performance, and developer velocity, highlighting how repository storage inefficiencies can impact large-scale engineering workflows.
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From Minutes to Seconds: Uber Boosts MySQL Cluster Uptime with Consensus Architecture
Uber redesigned its MySQL fleet using a consensus-driven architecture based on MySQL Group Replication, reducing cluster failover time from minutes to seconds. By moving leader election and failure detection into the database layer, Uber improved availability, simplified external orchestration, and strengthened consistency across thousands of production clusters.
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How CNAME Ordering in RFC Specs Caused Cloudflare 1.1.1.1 Outage
In a recent article titled "What came first- the CNAME or the A record?" Cloudflare explains how an unclear RFC specification caused the popular Cloudflare’s 1.1.1.1 service to break. After identifying the breakage and the ambiguity in older DNS standards regarding record order, Cloudflare proposes a clarified specification.
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GitHub Reworks Layered Defenses after Legacy Protections Block Legitimate Traffic
GitHub engineers recently traced user reports of unexpected “Too Many Requests” errors to abuse-mitigation rules that had accidentally remained active long after the incidents that prompted them.