#mkdevWeeklyHighlight
This post connects the decline of power users to real consequences: weaker privacy/audit ability, less resilience when platforms die, and a shrinking “builder pipeline” into engineering. A read to think about for sure: https://fireborn.mataroa.blog/blog/the-slow-death-of-the-power-user/

GCP has hundreds of services. Picking the wrong one (Cloud Run vs App Engine, etc.) gets expensive fast. We’ll review what you run today and suggest better fits — tailored to your apps. See how it works & let’s talk: https://mkdev.me/b/audits/google-cloud-platform

#mkdevWeeklyHighlight
This is important also for platform engineering teams that expose a bit too many low level details to the platform users, hoping they will just pay attention to filling everything correctly: https://utcc.utoronto.ca/~cks/space/blog/tech/PeopleCannotPayAttention

In the 88th mkdev dispatch, Pablo talks about the advancements of Seedance 2.0 and the consequences of its release. Also inside: Running Claude Code dangerously, but safely, SRE as the future of software engineering, how AWS S3 is built and more! https://mkdev.me/posts/is-seedance-2-0-a-killer-88

Docker gets all the attention, but runc does the heavy lifting underneath. One of our most popular articles explains how containers really run, how OCI fits in, and why understanding the lower layers helps you debug and operate them better. Read it here: https://mkdev.me/posts/the-tool-that-really-runs-your-containers-deep-dive-into-runc-and-oci-specifications

Cloud should make things easier, not leave your team buried in endless service choices, messy configs, and rising costs. We help you find the right path in AWS, GCP, and multi-cloud environments. Check out our Public Cloud Consulting and schedule a call: https://mkdev.me/b/consulting/public-cloud

DevOps Accents is a bi-weekly podcast about DevOps, Cloud, and AI, hosted by Pablo, Leo, and Kirill. Here are some more of our latest highlights — hit play wherever you listen to podcasts! https://www.youtube.com/watch?v=KgJsFjPS9_I

Our Terraform Lightning Course is a rapid and free introduction into Terraform and IaC. You will learn how to use Terraform to manage multi-cloud environments, starting with most basic concepts and going to complex setups closer to the end.

Video: https://www.youtube.com/playlist?list=PLozcbFx8FoPHM7n2DGLa6G8ZwtWFsVZsP
Articles: https://mkdev.me/posts/infrastructure-as-code-and-how-terraform-fits-into-it

#mkdevWeeklyHighlight
One big hidden risk is missing here: chart provider deciding not to do open source anymore, like Bitnami: https://www.prequel.dev/blog-post/the-real-state-of-helm-chart-reliability-2025-hidden-risks-in-100-open-source-charts

Platform engineering only works when it reflects how your teams actually build and operate software. We bring deep hands-on DevOps, cloud, CI/CD, and platform experience to help you build it right. Check out the page and schedule a call: https://mkdev.me/b/consulting/platform-engineering

Replace Docker for Podman for local development of containerized applications! This evergreen tutorial by Kirill teaches you all about basic usage of Podman and provides examples: https://mkdev.me/posts/dockerless-part-3-moving-development-environment-to-containers-with-podman

In the 89th mkdev dispatch Kirill reports back on our own experiences with OpenClaw. Get an mkdev dispatch in your Inbox every other week, subscribe now! https://mkdev.me/posts/openclaw-post-hype-report-89

CI is not enough anymore. Modern teams need pipelines that build, test, deploy, spin up PR environments, and keep security in check without slowing delivery down. See how we approach it and schedule a call: https://mkdev.me/b/consulting/majestic-pipeline

In case you missed it when we released it last year: mkdev has an open source Terraform provider for OpenAI. It lets you provision and manage OpenAI resources with Terraform instead of endless clickops. Worth a look if you work with AI infra: https://mkdev.me/posts/announcing-the-open-source-terraform-provider-for-openai

Helm Lightning Course! A quick introduction to Helm in 5 steps. You will go from zero to a fully functioning Helm Chart by watching our videos: https://www.youtube.com/playlist?list=PLozcbFx8FoPHqL9Gm1IpboF45gekmgYjO
Or by going along with the articles: https://mkdev.me/posts/why-do-you-even-need-helm

One detail about Helm that is easy to miss: charts do not always have to be purely declarative and static.

Using lookup, Helm can inspect the current cluster state during rendering. In the article’s example, that means pulling all namespaces, checking which ones carry a particular label, and then generating CronJobs only for those namespaces.

There is a catch: lookup does not filter by labels for you, so you have to fetch the resources first and then handle the label checks inside the template logic. Slightly clunky, but still surprisingly powerful for lightweight Kubernetes automations.

https://mkdev.me/posts/lookup-kubernetes-resources-inside-helm-charts

A Kubernetes security audit should do more than point at problems. We review your cluster hands-on, work with your team to understand the real setup, and deliver practical recommendations you can actually put into the backlog. Check out the page and schedule a call: https://mkdev.me/b/audits/kubernetes-security-audit

Getting traffic into EKS on Fargate can feel confusing until you see how the pieces connect.

This video walks through how a Kubernetes Ingress can automatically create an AWS Application Load Balancer, route traffic to your service, and expose your app to the outside world.

Watch it here: https://www.youtube.com/watch?v=cRODPz9GXb0

In the 90th mkdev dispatch Leo weights in on Anthropic's CEO recent comments about the state of the future white-collar jobs market. Subscribe for our bi-weekly newsletter all about Cloud, DevOps and AI! https://mkdev.me/posts/was-dario-amodei-right-90

A lot of engineers jump straight into containers and cloud platforms without ever building a clear mental model of virtualization. But the basics still matter.

Why can one physical machine run many isolated systems?
Why does KVM still show up everywhere in Linux infrastructure?
And why do tools like libvirt still matter when you want a sane way to manage VMs?

If you understand host, guest, hypervisor, and where KVM fits, a lot of modern infrastructure starts making more sense. This article does a good job covering those fundamentals through the lens of KVM. Still very relevant in 2026, especially for anyone touching Linux hosts, VM performance, or infra automation: https://mkdev.me/posts/virtualization-basics-and-an-introduction-to-kvm

If your teams use ChatGPT, AI analytics, screening tools, or any AI-powered workflow, AI literacy is now part of doing business responsibly. We offer practical training to help teams understand AI, ask better questions, and avoid costly mistakes. Check out the page and book training: https://mkdev.me/b/consulting/ai-literacy