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@radhika_rv16 shared a link, 1ย week, 1ย day ago
SRE, Writer

Platform Engineering: From Bash Scripts to AI-Powered Platforms โ€” and What Comes Next

I once got a Slack message at 11pm: "hey, prod seems slow?" No runbook. No alert. Just me, SSH'd into a box, squinting at top output. That was platform engineering. Here's how far we've come โ€” and where AI is taking us next.

platform engineering evolution
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@eon01 published a course, 1ย week, 1ย day ago
Founder, FAUN.dev

GitOps the Hard Way, with Argo CD

#Helmย  #gitopsย  #Argo CDย  #gitlabย  #kuberne...ย 
Argo CD Kubernetes GitLab GitLab CI/CD Helm

Build Real GitOps Pipelines From Empty Clusters to Automated Deploys

GitOps the Hard Way, with Argo CD
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Software Developer, RELIANOID

๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐—— ๐—ฎ๐˜ ๐—Ÿ๐—ผ๐—ป๐—ฑ๐—ผ๐—ป ๐—ง๐—ฒ๐—ฐ๐—ต ๐—ช๐—ฒ๐—ฒ๐—ธ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ

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@eon01 shared a post, 1ย week, 4ย days ago
Founder, FAUN.dev

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

#red hat...ย  #ansibleย  #Towerย  #AWXย 
Ansible 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.

AWX in Action - Ansible Orchestration at Scale
GPT (Generative Pre-trained Transformer) is a deep learning model developed by OpenAI that has been pre-trained on massive amounts of text data using unsupervised learning techniques. GPT is designed to generate human-like text in response to prompts, and it is capable of performing a variety of natural language processing tasks, including language translation, summarization, and question-answering. The model is based on the transformer architecture, which allows it to handle long-range dependencies and generate coherent, fluent text. GPT has been used in a wide range of applications, including chatbots, language translation, and content generation.

GPT is a family of language models that have been trained on large amounts of text data using a technique called unsupervised learning. The model is pre-trained on a diverse range of text sources, including books, articles, and web pages, which allows it to capture a broad range of language patterns and styles. Once trained, GPT can be fine-tuned on specific tasks, such as language translation or question-answering, by providing it with task-specific data.

One of the key features of GPT is its ability to generate coherent and fluent text that is indistinguishable from human-generated text. This is achieved by training the model to predict the next word in a sentence given the previous words. GPT also uses a technique called attention, which allows it to focus on relevant parts of the input text when generating a response.

GPT has become increasingly popular in recent years, particularly in the field of natural language processing. The model has been used in a wide range of applications, including chatbots, content generation, and language translation. GPT has also been used to create AI-generated stories, poetry, and even music.