Updates and recent posts about Google Kubernetes Engine (GKE)..

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@work4bots started using tool Spring , 1 day, 17 hours ago.

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@work4bots started using tool Azure Kubernetes Service (AKS) , 1 day, 17 hours ago.

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@eon01 shared a post, 1 day, 21 hours ago

Founder, FAUN.dev

AWX in Action is out, and there's a course

#red hat... #ansible #Tower #AWX

"AWX in Action: Ansible Orchestration at Scale" is now available in print and ebook. It covers running AWX on Kubernetes for real, not a sandbox demo that falls over the moment you add a second execution node.

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@varbear shared a link, 1 day, 22 hours ago

FAUN.dev()

When Code Becomes Cheap, What's Left?

Teams that use Claude Opus 4.6 for spec-driven development generate code at low cost, so they spend scarce developer time on review and QA. Developers create more value by judging code than by typing it... read more

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@varbear shared a link, 1 day, 22 hours ago

FAUN.dev()

I Did 11 Technical Interviews in 60 Days. Here Is the Pattern Nobody Tells You.

The key insight from the article is that at mid-to-senior backend levels, coding rounds matter least while judgment, communication, structure, and ability to defend decisions are critical. Focus on rehearsing key design, incident, and behavioral answer structures to succeed, not just LeetCode... read more

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@varbear shared a link, 1 day, 22 hours ago

FAUN.dev()

Design Patterns Are Dead. Long Live Design Patterns.

Design patterns were created for human comprehension, not machines, serving as a shared vocabulary to communicate complex ideas quickly, manage working memory, and standardize solutions. Even in the era of AI-generated code, design patterns are crucial for containing the limitations of AI models and.. read more

Google Kubernetes Engine (GKE) offers a Kubernetes experience on Autopilot that manages the underlying compute infrastructure without the need for manual configuration or monitoring. It provides container-native networking and security features, prebuilt Kubernetes applications and templates, pod and cluster autoscaling, and automated tools for workload migration. GKE clusters consist of a control plane and nodes that run the services supporting the containers. Autopilot mode manages the complexity of the cluster while allowing you to deploy and run your apps easily. The common uses of GKE include continuous integration and delivery, migrating workloads, and deploying and running applications. GKE pricing is based on the mode of operation, cluster management fees, and applicable multi-cluster ingress fees, with a free tier and a pricing calculator available to estimate costs. You can also connect with Google's sales team to get a custom quote for your organization or start your proof of concept.