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ContentUpdates and recent posts about Pulumi..
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@varbear added a new tool npm , 3 months, 3 weeks ago.
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@devopslinks added a new tool GitHub , 3 months, 3 weeks ago.
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@laura_garcia shared a post, 3 months, 3 weeks ago
Software Developer, RELIANOID

𝘐𝘯 𝘤𝘢𝘴𝘦 𝘺𝘰𝘶 𝘮𝘪𝘴𝘴𝘦𝘥 𝘪𝘵: Europe’s skies disrupted

Cyberattack on Collins Aerospace’s MUSE platform We shared this analysis a few months ago, but given the relevance of the topic and the growing impact of cyberattacks on critical infrastructure, it’s definitely worth resurfacing. The incident forced major airports like Heathrow, Brussels, and Berlin..

News FAUN.dev() Team
@kala shared an update, 3 months, 3 weeks ago
FAUN.dev()

DeepSeekMath-V2 Launches with 685B Parameters - Dominates Math Contests

DeepSeekMath-V2

DeepSeekMath-V2, an AI model with 685 billion parameters, excels in mathematical reasoning and achieves top scores in major competitions, now available open source for research and commercial use.

DeepSeekMath-V2 Launches with 685B Parameters - Dominates Math Contests
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@anjali shared a link, 3 months, 3 weeks ago
Customer Marketing Manager, Last9

9 Monitoring Tools That Deliver AI-Native Anomaly Detection

A technical guide comparing nine observability platforms built to detect anomalies and support modern AI-driven workflows.

anamoly_detection
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@kala added a new tool DeepSeekMath-V2 , 3 months, 3 weeks ago.
News FAUN.dev() Team
@kala shared an update, 3 months, 3 weeks ago
FAUN.dev()

A New Challenger: INTELLECT-3's 100B Parameters Punch Above Their Weight

Ansible Lustre Slurm INTELLECT-3

INTELLECT-3, a 100B+ parameter model, sets new benchmarks in AI, with open-sourced training components to foster research in reinforcement learning.

A New Challenger: INTELLECT-3's 100B Parameters Punch Above Their Weight
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@kala added a new tool INTELLECT-3 , 3 months, 3 weeks ago.
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@devopslinks added a new tool Lustre , 3 months, 3 weeks ago.
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@varbear added a new tool Slurm , 3 months, 3 weeks ago.
Pulumi is an open-source infrastructure-as-code platform that allows you to define, deploy, and manage cloud resources using familiar general-purpose programming languages like Python, JavaScript, Go, and TypeScript.

Pulumi represents a major shift in the Infrastructure-as-Code (IaC) landscape by moving away from proprietary domain-specific languages (DSLs) and static configuration files like YAML or JSON. Instead, it leverages the power of standard programming languages, allowing engineers to use loops, functions, classes, and existing package managers to define their cloud environments. This means you can apply software engineering best practices—such as unit testing, modularity, and CI/CD integration—directly to your infrastructure setups on providers like AWS, Azure, Google Cloud, and Kubernetes.

The platform works by utilizing a "State" mechanism similar to Terraform, where it tracks the current deployment against your desired code. When you run a Pulumi program, it builds a resource graph to determine the most efficient way to provision or update your services. Because it uses real code, it provides superior IDE support, including auto-completion and type-checking, which significantly reduces the syntax errors and "trial-and-error" deployments common with text-based configuration tools.

Furthermore, Pulumi excels in hybrid and multi-cloud environments by providing a unified workflow for both infrastructure and application delivery. It bridges the gap between developers and platform engineers, as both can now speak the same language—literally.