This episode is a panel discussion from the microservices track QCon Plus, held in May 2021. Track host Nicki Watt asks "What have we learned over the last decade of microservices." The panelists included Chris Richardson, James Lewis, and Katie Gamanji. The discussion started with looking at how the meaning of "microservices architecture" has evolved over the past ten years. There were some great insights about how successfully developing, deploying, and maintaining software depends as much or more on cultural and environmental factors, than simply adopting microservices and all the tools and technology that now exist.

Read a transcript of this interview: https://bit.ly/3rOTrD7

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Transcript

What Have We Learned Over the Last Decade of Microservices?

In this podcast Alexander Matyushentsev, principle software engineer at Intuit and core engineer on the Argo CD and Argo Rollouts projects, sat down with InfoQ podcast host Daniel Bryant and discussed the Argo projects, continuous delivery with Kubernetes, and how platform teams can help developers embrace modern release techniques and related technologies.

Read a transcript of this interview: https://bit.ly/3zyKP6o

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- The InfoQ weekly newsletter: bit.ly/24x3IVq
- The Software Architects’ Newsletter [monthly]: https://www.infoq.com/software-architects-newsletter/

Upcoming Virtual Events - https://events.infoq.com/

InfoQ Live:
https://live.infoq.com/
- September 21, 2021
- October 19, 2021

QCon Plus online conference:
https://plus.qconferences.com/
- November 1-12, 2021

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Alex Matyushentsev on Argo CD, Argo Rollouts, and Continuous Delivery with Kubernetes

Kubernetes in Action

In this special episode of The Kubelist Podcast, recorded live at KubeCon 2024 in Salt Lake City, hosts Marc Campbell and Benjie De Groot bring you seven engaging interviews with developers and contributors from the Kubernetes ecosystem. From CNCF projects like Testkube, Logging Operator, and Kubeflow to innovative tools like Buildpacks, Kairos, Krkn, and Scarf, this episode dives into the latest updates and insights.

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The Kubelist Podcast - Ep. #45, Live from KubeCon 2024

In episode 47 of The Kubelist Podcast, Marc and Benjie sit down with Grant Miller, Founder and CEO of Replicated. This talk chronicles the triumphs and tribulations of Replicated and the many entrepreneurial lessons learned along the way. Grant and Marc also unveil SecureBuild, a new offering for open source projects. Lastly they share their firsthand experiences using AI-assisted coding tools and how they’re revolutionizing productivity.

The Kubelist Podcast - Ep. #47, SecureBuild with Grant Miller of Replicated

In this episode of the podcast, members of the InfoQ editorial staff and friends of InfoQ will discuss current trends in the cloud and DevOps domains as part of our annual trends report creation process. These reports provide InfoQ readers with a high-level overview of key topics to watch and also help the editorial team focus on innovative technologies. In addition to the report and the trends graph available on InfoQ.com, this podcast offers a chance to hear our raw conversation and the stories shared by our expert practitioners.

Read a transcript of this interview: http://bit.ly/3KBz5us

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Essential insights on critical software development priorities.
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Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts:

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Cloud and DevOps InfoQ Trends Report 2025

Este episodio de Shots de Marketing es un resumen en audio del artículo del newsletter: “Google y el Open Source: La jugada de poder más inteligente del siglo XXI”. Hablamos de cómo Google no está perdiendo la guerra tecnológica... la está ganando en silencio, gracias a herramientas open source como TensorFlow, Kubernetes, Android y más.

No es altruismo, es estrategia pura. Si trabajas en marketing digital, tech o innovación, este episodio te muestra cómo dominar sin necesidad de controlar. Una lección que todo CEO, CMO y emprendedor necesita escuchar.

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¿Es el Open Source La estrategia de dominación más inteligente del siglo XXI?

In episode 48 of Generationship, Rachel Chalmers speaks with Sarah Novotny. They dig into why AI models fall short of true creativity, how the tech industry drifted into extractive incentives, and what real security and accountability might look like at scale. Sarah highlights lessons from Kubernetes, open source ecosystems, and political science to propose a more trustworthy technological future.

Generationship - Ep. #48, Trusting AI with Sarah Novotny

In this podcast, Daniel Bryant spoke to Michelle Krejci, service engineer lead at Pantheon, about the Drupal and Wordpress webops-based company’s move to a microservices architecture. Michelle is a well-known conference speaker in the space of technical leadership and continuous integration, and she shared her lessons learned over the past four years of the migration.

Why listen to this podcast:

 - The backend for the Pantheon webops platform began as a Python-based monolith with a Cassandra data store. This architecture choice initially enabled rapid feature development as the company searched for product/market fit. However, as the company found success and began scaling their engineering teams, the ability to add new functionality rapidly to the monolith became challenging.
 - Conceptual debt and technical debt greatly impact the ability to add new features to an application. Moving to microservices does not eliminate either of these forms of debt, but use of this architectural pattern can make it easier to identify and manage the debt, for example by creating well-defined APIs and boundaries between modules.
 - Technical debt -- and the associated engineering toil -- is real debt, with a dollar value, and should be tracked and made visible to everyone.
Establishing “quick wins” during the early stages of the migration towards microservices was essential. Building new business-focused services using asynchronous “fire and forget” event-driven integrations with the monolith helped greatly with this goal.
 - Using containers and Kubernetes provided the foundations for rapidly deploying, releasing, and rolling back new versions of a service. Running multiple Kubernetes namespaces also allowed engineers to clone the production namespace and environment (without data) and perform development and testing within an individually owned sandboxed namespace.
 - Using the Apollo GraphQL platform allowed schema-first development. Frontend and backend teams collaborated on creating a GraphQL schema, and then individually built their respective services using this as a contract. Using GraphQL also allowed easy mocking during development. Creating backward compatible schema allowed the deployment and release of functionality to be decoupled.

Michelle Krejci on Moving to Microservices: Visualising Technical Debt, Kubernetes, and GraphQL

In this podcast, Daniel Bryant sat down with Katie Gamanji, Cloud Platform Engineer at Condé Nast International. Topics covered included: exploring the architecture of the Condé Nast Kubernetes-based platform; the importance of enabling self-service deployment for developers; and how the Kubernetes’ Federation API and Cluster API may enable more opportunities for platform automation.

 - Founded in the early 1900s, Condé Nast is a global media company that has recently migrated their application deployment platforms from individually-curated geographically-based platforms, to a standardised distributed platform based on Kubernetes and AWS.
 - The Condé Nast engineering team create and manage their own Kubernetes clusters, currently using CoreOS’s/Red Hat’s Tectonic tool. 
Self-service deployment of applications is managed via Helm Charts.  - The platform team works closely with their “customer” developer teams in order to ensure their requirements are being met.
 - The Kubernetes Federation API makes it easy to orchestrate the deployment of applications to multiple clusters. This works well for cookie-cutter style deployments that only require small configuration differences, such as scaling the number of running applications based on geographic traffic patterns.
 - The Cluster API is a Kubernetes project to bring declarative APIs to cluster creation, configuration, and management. This enables more effective automation for cluster lifecycle management, and may provide more opportunities for multi-cloud Kubernetes use.
 - The Condé Nast platform Kubernetes Ingress is handled by Traefik, due to the good Helm support and cloud integration (for example, AWS Route 53 and IAM rule synchronization). The platform team is exploring the use of service mesh for 2020.
 - Abstractions, interfaces, and security will be interesting focal points for improvement in the Kubernetes ecosystem in 2020.

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Show Notes

Katie Gamanji on Condé Nast’s Kubernetes Platform, Self-Service, and the Federation and Cluster APIs

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