Terraform Production Readiness Cheatsheet
Terraform working isnât enough. Learn what it takes to make it production-ready â from backend design to security and automated pipelines.
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@simme started using tool Grafana Loki , 2Â hours, 27Â minutes ago.
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@simme started using tool Claude Code , 2Â hours, 27Â minutes ago.
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@cloudsignals shared a post, 15Â hours ago
Director - Cloud Engineering, osttra
DevSecOps: Rapid & Secure Delivery
If security is your last step, youâre already too late. This guide shows how to build a DevSecOps pipeline where security is continuous, automated, and invisible to delivery speed.
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@varbear shared a link, 1Â day, 8Â hours ago
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GitHub backs down, kills Copilot PR âtipsâ after backlash
GitHub revoked Copilot's ability to inject tips into other users' pull requests after reports that Copilot Review inserted aRaycastlink. They disabled agent tips in PR comments, blamed a programming-logic bug, and said they won't turn tips into ads... read more Â
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@varbear shared a link, 1Â day, 8Â hours ago
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SQLite Features You Didnât Know It Had: JSON, text search, CTE, STRICT, generated columns, WAL
SQLite packsJSONextraction, expression indexes,FTS5full-text search,CTEs, window functions, andWALinto a single file. It enforcesstrict tables, supportsgenerated columns, and indexes JSON expressions for fast semi-structured queries... read more Â
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@varbear shared a link, 1Â day, 8Â hours ago
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I told Claude Code to build me an executive assistant. This is what my work as CTO looks like now
CTO at ZAR shares his experience managing 10 engineers, shipping code, and operating at the C-level with an AI assistant named Claude Code. The system allows him to maintain context across multiple workstreams, automate tasks, and scale his productivity. In just three weeks, he has documented 82 mee.. read more Â
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@varbear shared a link, 1Â day, 8Â hours ago
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Python 3.3: The Version That Quietly Rewired Everything
Python 3.3 introduced three key features that have had a lasting impact on Python development. Firstly, yield from simplified the composition of generators by allowing easy delegation between them. Secondly, venv standardized virtual environments in Python, improving isolation and reproducibility of.. read more Â
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