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Topics

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

Implementing Durable Workflows on Postgres Without an External Orchestrator

Postgres can serve as the durable state store and coordination layer for workflows, eliminating the need for an external orchestrator. SKIP LOCKED enables concurrent work processing, primary-key checkpoints enforce idempotency, and leases support crash recovery. Workflow sleeps and human approvals can also be persisted as database state and survive restarts.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Your Next DSL Author Is a Language Model

In this article, the author introduces Typed Domain Grounding, an approach to reducing LLM hallucinations in domain-specific languages by embedding them in mainstream typed languages. Using kUML benchmarks and an infrastructure-as-code example, he explores how compiler validation and generate-compile-repair loops can make model-generated DSL output more reliable.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Teaching Engineers, Trusting AI: How Education Enabled Autonomous Code Review

Sarah Deitke discusses how Duolingo drives cultural AI adoption beyond tooling access. She explains their internal AI literacy workshops and observability dashboards, then shares a case study on redesigning code review using an automated PR risk-assessment bot. Deitke demonstrates how pairing targeted developer education with safe AI guardrails speeds up delivery without increasing defect rates.

All in culture-methods

DevOps

Featured in DevOps

Platform Engineering in the Age of AI

The panelists explain how platform teams adapt to support AI-assisted engineering, highlighting which capabilities belong in the platform. They discuss trade-offs between standardization and developer autonomy, while sharing strategies to manage AI tooling, security guardrails, and shifting workflows.

All in devops

Events

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Architect Certification

Distributed systems, decentralized decisions, platform engineering, and AI architecture.
Online. Register Now.

AI Security & Privacy Engineering Certification

Secure and govern production AI systems, from sensitive data to guardrails, evals, and audits.
Online. Register now.

AI-Assisted Engineering Certification

Your coding agent moves fast. Who checks whether it's making the codebase better?
Online. Register Now.

QCon San Francisco

What's working across AI, architecture, and leadership, from the teams doing it.
Register. Early bird ends August 11.

QCon AI New York

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

QCon London

What early-adopter teams have proven in production, across 15 engineering tracks.
Register. Early bird ends August 11.

InfoQ Homepage Interviews DevOps Federal Adoption with Paula Thrasher

DevOps Federal Adoption with Paula Thrasher

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23:05

Bio

Paula is an Application Delivery Lead at CSC. She has over 18 years’ experience in information technology and works in the federal market leading agencies and teams towards Agile and DevOps. Paula’s first Agile project was in 2001, since then she has led over 15 programs and projects as an Agile developer, technical lead, Scrum master, or Agile coach.

About the conference

DevOps Enterprise is THE event for people who are bringing Lean principles into the IT value stream while building DevOps and Continuous Delivery into their organization.

Dec 16, 2015

Interview with

Paula Thrasher

by

Manuel Pais

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