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Development

Featured in Development

The Rust High Performance Talk You Did Not Expect

Ruth Linehan explains how migrating high-performance caching services from Kotlin to Rust shattered internal preconceptions around delivery velocity and engineering overhead. She discusses the ergonomics of the Rust borrow checker, shares how compile-time safety shortens the developer feedback loop, and profiles how tools like Criterion and flamegraphs optimize concurrent code paths.

All in development

Architecture & Design

Featured in Architecture & Design

Comprehension at AI Speed: Building a Context Store for Evolutionary Architecture

AI makes the first 80% of development feel fast, but hides architectural complexity until it's too late. To prevent system instability, engineering leaders must shift from raw throughput to systemic comprehension. By unifying spec-anchored SDD, TDD, and automated fitness functions into a repo-bound "Context Store," teams can ensure AI agents and human reviewers evolve code safely.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

From OTEL to SLMs: Distilling Frontier Model Behaviour from Production Telemetry

Ben O'Mahony discusses building custom AI-powered Language Server Protocols (LSPs) that go beyond standard rule-based checkers. He explains how to instrument AI agents natively with OpenTelemetry to track concrete user actions (accepting, dismissing, or regenerating code fixes) as implicit labels, creating a continuous data flywheel to distill frontier capabilities into cheaper, local SLMs.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Road to Compliance: Will Your Internal Users Hate Your Platform Team?

Davide de Paolis discusses the realities of rolling out cloud infrastructure compliance without fracturing developer relations. Drawing from a real-world platform team reboot at Sevdesk, he explains how to implement "minimum viable governance" on AWS, utilize event-driven Slack alerting to automate policy feedback, and shift from rigid enforcement to high-empathy, data-driven collaboration.

All in culture-methods

DevOps

Featured in DevOps

Chaos Engineering GPU Clusters

Bryan Oliver discusses the frontier of AI infrastructure: chaos engineering for large-scale GPU clusters. He shares how engineering leaders can handle complex topologies, network protocols like RDMA, and NUMA misalignments. Discover seven practical fault-injection strategies to maximize multi-million dollar hardware efficiency and build robust observability loops.

All in devops

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Production AI calls on retrieval, agents, evals, and infrastructure, checked with peers.
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Work through leadership decisions with senior peers facing similar technical trade-offs.
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QCon San Francisco

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QCon London

What early-adopter teams have proven in production, across 15 engineering tracks.
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InfoQ Homepage Containers in the Real World - Stepping Off the Hype Curve Content on InfoQ

Containers in the Real World - Stepping Off the Hype Curve

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Articles about Containers in the Real World - Stepping Off the Hype Curve

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DevOps

Controlling Hybrid Cloud Complexity with Containers: CoreOS, rkt, and Image Standards

Josh Wood
on May 01, 2016
DevOps

Article Series: Containers in the Real World - Stepping Off the Hype Curve

Daniel Bryant
on Apr 17, 2016

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Topics

The Rust High Performance Talk You Did Not Expect

Comprehension at AI Speed: Building a Context Store for Evolutionary Architecture

From OTEL to SLMs: Distilling Frontier Model Behaviour from Production Telemetry

Road to Compliance: Will Your Internal Users Hate Your Platform Team?

Chaos Engineering GPU Clusters

Helpful links

Choose your language

Containers in the Real World - Stepping Off the Hype Curve

Articles about Containers in the Real World - Stepping Off the Hype Curve

Controlling Hybrid Cloud Complexity with Containers: CoreOS, rkt, and Image Standards

Article Series: Containers in the Real World - Stepping Off the Hype Curve

The Rust High Performance Talk You Did Not Expect

How to Build More Resilient Local-First Applications with AT Protocol Infrastructure

Cloudflare Identifies Race Condition in hyper’s HTTP/1 Implementation

Stripe Benchmark Shows AI Agents Build Integrations but Struggle with Validation

Google and Industry Partners Announce Agentic Resource Discovery Specification for AI Agents

Comprehension at AI Speed: Building a Context Store for Evolutionary Architecture

Developing and Deploying a Platform that the Business Understands and Developers Actually Want

Road to Compliance: Will Your Internal Users Hate Your Platform Team?

Formal Methods for Every Engineer in an AI-Powered Future

From OTEL to SLMs: Distilling Frontier Model Behaviour from Production Telemetry

QCon AI Boston: Production AI Moves Beyond Prompts to Platforms, Harnesses, and Evals

Postgres for Production Agents: Your Relational Foundation for Enterprise AI

Cloud Native Infrastructure Emerges as the Foundation for Trustworthy Agentic AI

How Uber Builds Zone-Failure-Resilient OpenSearch Clusters

Linkerd 2.20 Delivers Smarter Traffic Management and Dramatic Efficiency Gains

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Containers in the Real World - Stepping Off the Hype Curve