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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

Strands Agents with Clare Liguori

Thomas Betts talks with Clare Liguori, the technical lead on the open source Strands Agents SDK. The conversation covers how Strands Agents has grown from a Python SDK to a full agent harness running in production. Clare shares some lessons learned from building agents at scale, shifting to a model-driven architecture, and what comes next as the LLMs that underpin agents continue to improve.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

From Copy-Paste to Composition: Building Agents Like Real Software

Jake Mannix discusses moving AI agents past chaotic "1970s BASIC" architectures. He shares how implementing an intermediate protocol layer allows engineering leaders to build versioned, encapsulated "virtual tools." This design enables interface mapping, dynamic schema projection, and runtime taint tracking to proactively eliminate data exfiltration risks without slowing velocity.

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

Platform Engineering for Everyone - Success Can’t Be Coded

Max Korbacher explains why successful internal development platforms cannot be built on tech alone. He discusses the pitfalls of infrastructure-first thinking, the importance of a clear product mindset, and how to measure real value using DevEx and SPACE metrics. Learn how to align your team, manage tech debt, and foster a thriving community to ensure lasting platform adoption.

All in devops

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

What's working across AI, architecture, and leadership, from the teams doing it.
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QCon AI New York

Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.
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QCon London

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Architecture & Design

Netflix Cuts Cassandra Read Latency from Seconds to Milliseconds with Dynamic Partition Splitting

Netflix engineers introduced dynamic partition splitting for Cassandra to address wide partitions in time series workloads. The metadata-driven approach detects oversized partitions, splits them smaller units, and routes reads across child partitions. Netflix reported lower read latency from seconds to milliseconds, reduced timeouts, and improved cluster stability while maintaining transparency.

Leela Kumili
on Jul 06, 2026
Cloud

Google Cloud Introduces Geo-Partitioning for Spanner: Reduced Latency and Cost Optimization

Google Cloud has announced adding geo-partitioning to Spanner, its fully-managed, globally distributed database. According to the company, this new feature aims to improve performance and user experience for geographically dispersed applications and users while optimizing operational costs.

Steef-Jan Wiggers
on Jul 24, 2024
Alternatives to Eventual Consistency

Causal Consistency models offer an alternative Eventual Consistency for distributed systems; both models should be weighed against your system's requirements and risk tolerance.

Harry Brumleve
on Jun 18, 2014

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