InfoQ Homepage News
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DoorDash Uses Envoy and Valkey for a 1.5M RPS Proxy Cache with 99.99999% Availability
DoorDash has developed Entity Cache, a transparent proxy caching platform built on Envoy and Valkey to reduce redundant service-to-service requests across its microservices architecture. Operating within DoorDash’s service mesh, the platform serves over 1.5M requests per second with 99.99999% availability through caching, event-driven invalidation, failure handling, and performance optimizations.
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Three InfoQ Certification Cohorts Start This August: Meet the Facilitators
InfoQ has opened enrollment for three five-week online certification cohorts starting in August, each led by a senior practitioner applying QCon talk frameworks to participants' own work: architecture with Luca Mezzalira, engineering leadership with Michelle Brush, and AI security and privacy with Katharine Jarmul.
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AWS Releases Loom, an Open-Source Reference Platform for Governing AI Agents at Enterprise Scale
AWS released Loom, an open-source reference platform on AWS Labs for governing AI agents at scale. Built on Strands Agents and Bedrock AgentCore Runtime, it implements RFC 8693 token exchange for identity propagation through delegated actor chains, config-driven deployments without runtime code generation, and mandatory tagging. AWS positions it as an example, not a managed service.
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How Netflix Built GenPage: a Single GenAI Model to Build Personalized Homepages
GenPage is a generative AI system developed by Netflix to replace its traditional multi-stage recommendation pipeline by directly generating personalized user homepages. GenPage leverages user history and request context as a prompt to produce the entire page, resulting in improved user engagement and reduced serving latency.
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Google's AlphaEvolve Reaches General Availability with Evolutionary Code Optimization as a Service
Google's AlphaEvolve reached general availability on the Gemini Enterprise Agent Platform, turning the DeepMind research project into an evolutionary code optimization service. Evaluators run client-side so code never leaves the customer's infrastructure. Klarna doubled ML training throughput; practitioners note it only works where a measurable evaluation function exists.
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AWS Introduces CloudFormation Express Mode for Faster Infrastructure Deployments
AWS has recently introduced CloudFormation express mode, a deployment option that can reduce infrastructure deployment times by marking stack operations complete once resource configuration is applied, rather than waiting for full resource stabilization.
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Pinecone Introduces Nexus Engine for Compiling Business Context into Structured Data for AI Agents
Now generally available, Pinecone Nexus is a "knowledge engine" for AI agents that transforms enterprise data into a structured layer agents can query directly. It enables teams to ingest and curate business context once for all, making it reusable across agents and reducing token costs while improving accuracy.
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Version Controlled SQL Database Dolt Releases 2.0 with Automatic Storage Cleanup and Compression
DoltHub has recently released Dolt 2.0, a major update to the open source version-controlled SQL database. The latest major version adds automatic storage optimization, including garbage collection and compression, along with improved support for large and vector data types.
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Cloud Native Infrastructure Emerges as the Foundation for Trustworthy Agentic AI
A new technical analysis published by the Cloud Native Computing Foundation (CNCF) argues that the future of agentic AI will be built not on entirely new infrastructure, but on the mature cloud-native ecosystem that already powers modern distributed applications
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How Uber Builds Zone-Failure-Resilient OpenSearch Clusters
Uber explained how it keeps its OpenSearch deployments running during a zone outage. It does this by using OpenSearch's built-in shard allocation and its own isolation-group system, which relies on the Odin container orchestration platform. This way, it maintains both query and ingestion capabilities.
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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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AWS Continuum to Enable Agentic Code Security for Enterprises
Amazon Web Services has recently introduced AWS Continuum, a new integrated security platform to automate the discovery, enforcement, and remediation of security issues across codebases, dependencies, and applications. AWS Continuum launches with four agentic capabilities, aiming at the entire vulnerability lifecycle: penetration testing, code review, threat modelling, and code vulnerabilities.
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Developing and Deploying a Platform that the Business Understands and Developers Actually Want
A lot of platform teams face a problem: they build a lot of really cool stuff, and then their developers don't use it. Be visible to management, talk to stakeholders and listen to their problems, make your value measurable with metrics like DORA, create narratives, and show the hidden pain to make it personal: these are lessons that Lucas Hornung and Christian Matthaei presented.
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AI Agents with Cloud Credentials Are Outrunning Billing Guardrails Built for Human-Speed Mistakes
A three-person agency received a $14,000 AWS bill in one day after attackers extracted static access keys and burned Claude invocations on Bedrock. Combined with May's DN42 incident, where an autonomous agent provisioned $6,531 of oversized infrastructure in 24 hours, practitioners warn that cloud billing lags roughly a day behind agent-speed spend.
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Stripe Benchmark Shows AI Agents Build Integrations but Struggle with Validation
Stripe introduces a benchmark suite to evaluate whether AI agents can build real-world Stripe integrations across backend, frontend, and browser-based checkout workflows. The study examines end-to-end software engineering capability, focusing on execution, testing, and validation gaps in agentic systems under production-like constraints.