Cloud Engineering Archives - Software Engineering Daily
54 episodes listed below
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Technical interviews about software topics.
Based on 6 episodes we listened to · September 2026
Technical interviews connect platform architecture, developer tooling, and AI systems to the practical constraints engineers face after deployment.
Cloud Engineering Archives - Software Engineering Daily follows working software from architectural choice to operational consequence. Its interviews give technical decisions room to become concrete: Eugen Rochko discusses Mastodon's API-centric design and front-end…
From Mastodon's open API to Chess.com's brilliancies, your engineering rabbit holes have company.
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Short reviews from the PlayNext desk, based on the episodes we processed.
CodeRabbit's review agent is examined through prompts, context windows, security checks, and open source feedback.
AI-assisted coding is turning code review into a scale problem, and this episode looks at how CodeRabbit is trying to answer it from inside the tools developers already use.
Jay Severson ties Chess.com's growth to scaling pressure, computer analysis, and online chess culture.
Jay Severson's look at Chess.com's rise works best as a software scaling story with a very public stress test: pandemic traffic pushed the platform's servers after years of steadier growth.
A grounded look at the API and front-end work behind Mastodon's decentralized design.
Mastodon with Eugen Rochko keeps decentralization close to the work of building and maintaining software. Rochko lays out the model plainly: people can run their own nodes, connect across them, and follow accounts based on other nodes.
A clear AWS conversation on fine tuning, RAG, model choice, and secure AI customization.
Jordy Moncompany's AWS re:Invent 2023 conversation with Mike Miller, director of AWS AI Devices, gives businesses a plain route into model customization without suggesting they need to build foundation models themselves.
Rob Zuber connects CI, cloud scale, fast feedback, and developer focus in an AWS re:Invent conversation.
CircleCI's Rob Zuber frames CI as the shared place where many kinds of change get rebuilt, whether that change comes from a teammate's code, a new model, a prompt update, a third-party library, or a changed outside service.
Cloud education, certifications, and practical tradeoffs anchor the AWS Cloud Institute discussion.
At AWS re:Invent 2023, the episode stays on cloud education and the AWS Cloud Institute, with Kevin Kelly laying out the tradeoffs that matter most: performance, cost, and the gap between knowing the services and using them under pressure.
Specialists walking through software's tradeoffs, one system at a time.
Founders and engineers on AI coding agents like Claude Code, and supply chain security.
The engineering decisions behind code, agents, and control.
Python tools, practical trade-offs, and the occasional programming joke.
Matt Stratton interviews DevOps practitioners on security, platform engineering, and trusting AI-written code.
Host Jordy Mon Company interviews Kevin Kelly, director of the AWS Cloud Institute, at AWS re:Invent 2023.
Harjot Gill says CodeRabbit reviews pull requests inside GitHub and GitLab, and he says 100,000 developers use it daily.
Chess.com started as a directory and an @chess.com domain, not a full chess platform.
Eugen Rochko says Mastodon uses ActivityPub, WebFinger, and signed messages to block fake actors.
Mike Miller says AWS has spent years building AI through Amazon recommendations, Alexa, SageMaker in 2017, and later Bedrock as “foundation models as a service.” He contrasts the bottom, middle, and top layers of the stack with EC2 machine images, SageMaker, and API-callable services, then maps that same structure onto generative AI.
Rob Zuber, CTO of CircleCI, speaks with Jordy Moncompany during AWS re:Invent 2023 in Las Vegas about how software delivery changed from mobile CI/CD in 2014 to containerized, cloud-based workflows.
Paul Massereau explains how QuickWit pipelines indexing, disk writes, S3 uploads, and metastore publication concurrently.
Robert Cooke explains how 3Forge built AMI as a full-stack layer for enterprise data, workflows, dashboards, and historical storage.
Vinayak Prakar presents Mach5 Search as a cloud-native replacement for Elasticsearch and OpenSearch that claims 90% lower operating costs.