InfoQ Homepage Scaling Content on InfoQ
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Scaling Social Systems in Software Organizations
Fast-scaling teams must rebuild trust and psychological safety as their social systems expand. Intentional, redundant communication across multiple formats can keep everyone aligned. Cross-team rituals, buddy systems, and rotating facilitators can reduce silos by building bridges between teams. Leaders accelerate this by modeling the vulnerability they want to see.
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Meta Deploys Unified AI Agents to Automate Performance Optimization at Hyperscale
Meta has unveiled a new AI-driven capacity efficiency platform that uses unified AI agents to automatically detect and resolve performance issues across its global infrastructure, marking a significant step toward self-optimizing systems at hyperscale.
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Netflix Scales "Human Infrastructure" to Manage Global Live Operations
Netflix has introduced a "human infrastructure" layer to manage live broadcasts at scale. Using a low-latency "telemetry hot path" and a Live Operations Centre, the company now balances automated scaling with human oversight. This shift, which mirrors strategies at AWS and Disney+, focuses on maintaining reliability through expert intervention during high-concurrency global events.
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Cloudflare Outlines MCP Architecture as Enterprises Confront Security and Governance Risks
Cloudflare has outlined a reference architecture for scaling Model Context Protocol (MCP) deployments across the enterprise, positioning centralized governance, remote server infrastructure, and cost controls as key requirements for production-ready agent systems.
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GitHub Acknowledges Recent Outages, Cites Scaling Challenges and Architectural Weaknesses
GitHub has publicly addressed a series of recent availability and performance issues that disrupted services across its platform, attributing the incidents to rapid growth, architectural coupling, and limitations in handling system load.
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How to Handle Trust and Psychological Safety When Scaling Organizations
As organizations scale, communication overload, loss of shared context, and trust gaps emerge, Charlotte de Jong Schouwenburg mentioned. Trust must be built team by team; it can’t be replicated. Trust is interpersonal, while psychological safety exists among people and fuels learning. Leaders must deliberately design structures, rituals, and metrics that reward transparency and cohesion at scale.
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QCon London 2026: Shielding the Core: Architecting Resilience with Multi-Layer Defenses
Anderson Parra, staff software engineer at SeatGeek, presented “Shielding the Core: Architecting Resilience with Multi-Layer Defenses” at QCon London 2026. Parra discussed strategies on how to handle significant traffic spikes in systems that can overwhelm an even well-designed infrastructure.
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OpenAI Scales Single Primary PostgreSQL Instance to Millions of Queries per Second for ChatGPT
OpenAI described how it scaled PostgreSQL to support ChatGPT and its API platform, handling millions of queries per second for hundreds of millions of users. By running a single-primary PostgreSQL deployment on Azure with nearly 50 read replicas, optimizing query patterns, and offloading write-heavy workloads to sharded systems, OpenAI maintained low-latency reads while managing write pressure.
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Enhancing Reliability Using Service-Level Prioritized Load Shedding: Netflix at QCon SF 2025
At QCon San Francisco, Netflix engineers unveiled their advanced Service-Level-Prioritized Load-Shedding strategy, enhancing reliability during traffic spikes. By prioritizing high-value requests and automating management across microservices, they safeguard user experience and system stability. Key insights stress prioritization, automation, and structured load shedding for optimal resilience.
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Advanced Autoscaling Helps Companies Reduce AWS Costs by 70%
The next generation of Kubernetes autoscaling techniques and tools is enabling organisations to make substantial cost savings in their cloud infrastructure. Svetlana Burninova recently used Karpenter to build a multi-architecture EKS cluster and managed a 70% reduction in cost whilst also improving performance.
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Amazon DocumentDB Serverless: Auto-Scaling Database Solution for Variable Workloads
AWS has launched Amazon DocumentDB Serverless, an auto-scaling database solution compatible with MongoDB, tailored for variable workloads. While marketed as "serverless," it functions more like auto-scaling, charging from $30/month. Ideal for enterprises and SaaS vendors, it adeptly handles spikes in demand, particularly for AI-driven applications.
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Inflection Points in Engineering Productivity for Improving Productivity and Operational Excellence
As companies grow, investing in custom developer tools may become necessary. Initially, standard tools suffice, but as companies scale in engineers, maturity, and complexity, industry tools may no longer meet needs. Inflection points, such as a crisis, hyper-growth, or reaching a new market, often trigger investments, providing opportunities for improving productivity and operational excellence.
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Lessons Learned from Growing an Engineering Organization
As their organization grew, Thiago Ghisi's work as director of engineering shifted from being hands-on in emergencies to designing frameworks and delegating decisions. He suggested treating changes as experiments, documenting reorganizations, and using a wave-based communication approach to gather feedback, ensuring people feel heard and invested.
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Optimizing Amazon ECS with Predictive Scaling
Amazon Web Services (AWS) recently released Predictive Scaling for Amazon ECS, an advanced scaling policy that employs machine learning (ML) algorithms to anticipate demand surges, ensuring applications remain highly available and responsive while minimizing resource overprovisioning.
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Staying Innovative on a Journey from Start-Up to Scale-Up
As ClearBank grew, it faced the challenge of maintaining its innovative culture while integrating more structured processes to manage its expanding operations and ensure regulatory compliance. Within boundaries of accountability and responsibility, teams were given space to evolve their own areas, innovate a little, experiment, and continuously improve, to remain innovative.