Content by mkdev

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AI Strategy Guide: How to Scale AI Across Your Business

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Evolution of Capacity Management: From Bare Metal to Kubernetes

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Processing Background Jobs on AWS: Lambda vs ECS vs ECS Fargate

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The Ultimate Guide to Cloud Cost Optimization

Illustration of a person riding a large mechanical creature, holding a stick with a small carrot dangling from it. Another larger carrot is shown behind, with a hand reaching toward it. The stick is labeled "Ignorantia juris non excusat."

The carrot and stick of the EU AI Act

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What is the EU AI Act?

Prompt engineering is the new English #devopsaccents #podcast #mkdev #DataScience #AI

Data Science 2.0 with Suzanne El-Moursi from Brighthive | DA #63

Dockerless: Container Standards Landscape

Dockerless doesn’t end with OCI standards. In this final article we dive into CRI, CNI, CSI and tools like Kata Containers, showing how networking, storage and even lightweight virtual machines are shaping the future of container orchestration and cloud-native infrastructure.

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Announcing the Open Source Terraform Provider for OpenAI

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Tired of managing OpenAI configs by hand? mkdev just open-sourced a Terraform provider that lets you automate everything—from API keys to generative AI workflows—all as code. Read the article to see how it turns infrastructure and AI into one seamless experience.

Dockerless

Re-explore containers from open standards perspective: learn all about Open Container Initiative (OCI) and how to see containers for what they really are.

[mkdev dispatch #76] Summer Is Over

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In the 76th mkdev dispatch Pablo makes a list of themes and topics to look out for in the coming months. The fall is always big for our industry! Don't miss your chance to make a splash.

DevOps Accents, episode 63: Data Science 2.0 with Suzanne El-Moursi from Brighthive

Data Science 2.0 is the shift from dashboards to decision workflows. Suzanne El-Moursi shows how teams can go beyond “reports nobody trusts” to agentic, governed analytics, using a pragmatic stack so insight can flow. We focus on how the data scientist role evolves from dashboard factory to orchestration and stewardship so the right decision happens at the right time.