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Updates and recent posts about AWX.. Course
@eon01 published a course, 2 months, 3 weeks ago
Founder, FAUN.dev
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@shurup gave 🐾 to Helm Cheat Sheet: Everything You Need to Know to Start Using Helm , 2 months, 3 weeks ago.
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@shurup shared a post, 2 months, 3 weeks ago
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Kubernetes best practices for DevOps engineers
Have to manage Kubernetes in production but don’t feel confident about its many moving parts, complex architecture, and configurations? Here’s a selection of technical guides from experienced engineers for Kubernetes beginners looking to master this orchestration tool for running containerised apps efficiently and reliably.
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@pramod_kumar_0820 shared a link, 2 months, 3 weeks ago
Software Engineer, Teknospire
⚡ Why Your Spring Boot API Takes 3 Seconds to Respond (And How to Fix It)
A practical breakdown of the most common Spring Boot performance bottlenecks — and how we optimized our API from 3 seconds to 200 ms.
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@devopslinks shared an update, 2 months, 3 weeks ago
FAUN.dev()
Microsoft Project Silica: Your Data, Stored in a Pyrex Dish, for 10,000 Years
Microsoft's Project Silica encodes data in borosilicate glass using femtosecond lasers, offering long-term storage for up to 10,000 years. This method overcomes traditional storage limitations and is cost-effective, though write speed remains a challenge. The research phase is complete, but no product release has been announced.
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@varbear shared an update, 2 months, 3 weeks ago
FAUN.dev()
Operating Systems as Age Gatekeepers: The Law That Could Reshape the Internet
California's Digital Age Assurance Act mandates operating systems to share users' age data with app developers via a real-time API by 2027. The law faces criticism for depending on self-reported ages, potentially affecting its efficacy.
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@varbear shared a link, 2 months, 3 weeks ago
FAUN.dev()
We Might All Be AI Engineers Now
The author supervises AI agents that orchestrate concurrent graph traversal, multi-layer hashing, AST parsing, and file system watchers. The agents run traversal, hashing, and watcher loops. The engineer architects system behavior, verifies outputs, and probes agents in parallel to debug... read more
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@varbear shared a link, 2 months, 3 weeks ago
FAUN.dev()
I deleted my laptop from my dev workflow. My iPhone does the job now
A developer ditches the laptop and SSHs from an iPhone into an always-onMac Mini. The phone becomes a terminal and browser. The remote runs the dev server, theClaude Code/CodexCLI, hot reload, file watching, and pushes viaTailscale. Persistent sessions (tmux) keep AI agents and services alive across.. read more
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@varbear shared a link, 2 months, 3 weeks ago
FAUN.dev()
The Great Developer Divide: How AI Is Reshaping the Software Job Market Into Three Tiers
AI hiring has split dev work into three camps:Apex Tier,Hybrid Middle, and a shrinkingAutomatable Tail. Demand now favorsAI orchestration,prompt engineering, fastcode reading, and platform roles likeplatform engineer,fleet supervisor, andAI QA. System shift:Organizations must rework career ladders, .. read more
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@varbear shared a link, 2 months, 3 weeks ago
FAUN.dev()
Build agents that run automatically
Agents trigger from schedules, Slack, Linear, GitHub, PagerDuty events, or customwebhooks. They spin upcloud sandboxes. They run configuredMCPsand models. They verify outputs. They use amemorytool. Cursor automates security audits on pushes. Scores PR risk and auto-approves low-risk changes. Runs Pa.. read more
The project began at AnsibleWorks as the commercial Ansible Tower product, and after Red Hat acquired Ansible, it open sourced the codebase as AWX in September 2017, positioning it as the development ground where new features land before they are hardened into the supported Automation Platform controller. With AWX, you organize automation around projects (synced from Git or other source control), inventories (static or dynamically pulled from cloud providers), credentials (stored encrypted and injected at runtime), and job templates that tie a playbook to its inventory and credentials. On top of that, it adds role based access control, a visual dashboard, job scheduling, workflow chaining, webhooks, and real time job output, so multiple teams can run, track, and delegate automation without sharing SSH keys or sitting at a terminal.
Modern AWX runs on Kubernetes or OpenShift through the AWX Operator, which manages installation, upgrades, and scaling declaratively, reflecting its shift from a single host application to a cloud native, container based platform. Because it is the upstream of a paid product, AWX moves fast and ships frequently, which makes it ideal for labs, learning, and self managed deployments, though teams needing formal support and long term stability typically run the downstream Automation Platform instead.
