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Development

Featured in Development

Accelerating Performance by Incrementally Integrating Rust into Existing Codebase

Lily Mara explains how to avoid high-risk software rewrites through incremental FFI refactoring. She shares how engineering teams can replace Python bottlenecks with Rust via PyO3, demonstrating how to achieve dramatic function-level speedups, seamless integration testing, and meaningful infrastructure cost savings without microservice overhead.

All in development

Architecture & Design

Featured in Architecture & Design

Five Ways To Use AI Coding Agents to Improve Your Software Architecture

Modern architectures often use legacy services for specific tasks, but these services may lack accurate documentation and using them can be risky if you don't understand them well. AI coding agents can help close that knowledge gap.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

From Consumers to Builders: Turning 200 of our Team into Agent Creators in 2 Weeks

Ben Maraney shares how Forter demystified AI agent creation for technical and non-technical staff. He discusses leveraging custom MCP servers, combining no-code and code-based platforms, sidestepping complex RAG setups, and aligning security and legal teams to accelerate internal agent adoption across R&D.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Maximizing Success with Limited Time, Resources, and Energy: Lessons from Startup Engineering

David Gudeman discusses battle-tested architectural patterns for resource-constrained engineering teams. Drawing from over a decade of startup experience, he explains how pairing GCP, Firebase, and Cloud Run accelerates product-market fit. Learn how to eliminate redundant frontend state, structure event-driven backends, and maintain lean DevOps while building for long-term scalability.

All in culture-methods

DevOps

Featured in DevOps

Securing AI Agents: Identity, Authorization, and the DPACT Framework

In this episode, Sahil Agarwal talks about the critical challenges of identity, authorisation, and security in the age of AI agents. Agarwal introduces the DPACT framework (Delegation, Policy, Auditability, Context, and Time) as a blueprint for building responsible, guardrailed agentic systems, moving away from simple token-based access toward bounded, delegated authority.

All in devops

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Architect Certification

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AI Security & Privacy Engineering Certification

Secure and govern production AI systems, from sensitive data to guardrails, evals, and audits.
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Your coding agent moves fast. Who checks whether it's making the codebase better?
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Compare team design, delivery flow, AI roles, and metrics with experienced practitioners.
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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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What early-adopter teams have proven in production, across 15 engineering tracks.
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Cloud

Modular Edge Computing at Multi-Tenant SaaS Scale on Cloudflare Workers

At multi-tenant SaaS scale, a monolithic edge worker creates deployment coupling and broad blast radius. The article presents a modular Cloudflare Workers architecture using service bindings, with image optimization as a worked example of per-tenant format negotiation and device-aware sizing. It covers multi-CDN differences, staged releases, configuration, and testing.

Chintan Tank
on Sep 23, 2026
Architecture & Design

Relational Data at the Edge: How Cloudflare Operates Distributed PostgreSQL Clusters

Explore Cloudflare's distributed PostgreSQL clusters and learn how a cross-region architecture ensures resilience. Discover how data storage and access at the edge deliver massive performance gains by reducing location-sensitive latency and why architecting for degraded states is much harder than for failure states.

Vignesh Ravichandran Justin Kwan
on Mar 21, 2024
Architecture & Design

Tales of Kafka at Cloudflare: Lessons Learnt on the Way to 1 Trillion Messages

Cloudflare uses Kafka clusters to decouple microservices and communicate the creation, change or deletion of various resources via protobuf, a common data format in a fault-tolerant manner. The authors suggest investing in metrics for problem detection, prioritizing clear SDK documentation, and balancing flexibility and simplicity for standardized pipelines.

Matt Boyle Andrea Medda
on May 29, 2023

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