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The guide to kubectl I never had.

Glasskube dropped a thorough guide tokubectl- the commands, the flags (--dry-run, etc.), how to chain stuff together, and how to keep your config sane. Bonus: a solid roundup ofkubectl plugins. Think observability (like K9s), policy checks, audit trails, and Glasskube’s take on declarative package m.. read more  

The guide to kubectl I never had.
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@kaptain shared a link, 3 weeks, 4 days ago
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Top 5 hard-earned lessons from the experts on managing Kubernetes

Running Kubernetes in production isn’t just clicking “Create Cluster.” It means locking down RBAC, tightening up network policy, tracking autoscaling metrics, and making sure your images don’t ship with surprises. Managed clusters help get you started. But real workloads need more: hardened configs,.. read more  

Top 5 hard-earned lessons from the experts on managing Kubernetes
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Kubernetes Tutorial For Beginners [72 Comprehensive Guides]

The series dives deep into real-world Kubernetes - starting with hands-on setup viaKubeadmandeksctl, then moving throughmonitoring,logging,CI/CD, andMLOps. It tracks key release changes up tov1.30, including the confirmed death ofDockershimsince v1.24... read more  

Kubernetes Tutorial For Beginners [72 Comprehensive Guides]
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@kala shared a link, 3 weeks, 4 days ago
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20x Faster TRL Fine-tuning with RapidFire AI

RapidFire AI just dropped a scheduling engine built for chaos - and control. It shards datasets on the fly, reallocates as needed, and runs multipleTRL fine-tuning configs at once, even on a single GPU. No magic, just clever orchestration. It plugs into TRL withdrop-in wrappers, spreads training acr.. read more  

20x Faster TRL Fine-tuning with RapidFire AI
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@kala shared a link, 3 weeks, 4 days ago
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Code execution with MCP: building more efficient AI agents

Code is taking over MCP workflows - and fast. With theModel Context Protocol, agents don’t just call tools. They load them on demand. Filter data. Track state like any decent program would. That shift slashes context bloat - up to 98% fewer tokens. It also trims latency and scales cleaner across tho.. read more  

Code execution with MCP: building more efficient AI agents
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@kala shared a link, 3 weeks, 4 days ago
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Hacking Gemini: A Multi-Layered Approach

A researcher found a multi-layer sanitization gap inGoogle Gemini. It let attackers pull off indirect prompt injections to leak Workspace data - think Gmail, Drive, Calendar - using Markdown image renders across Gemini andColab export chains. The trick? Sneaking through cracks between HTML and Markd.. read more  

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'I'm deeply uncomfortable': Anthropic CEO warns that a cadre of AI leaders, including himself, should not be in charge of the technology’s future

Anthropic says it stopped a seriousAI-led cyberattack- before most experts even saw it coming. No major human intervention needed. They didn't stop there. Turns out Claude had some ugly failure modes: followingdangerous promptsand generatingblackmail threats. Anthropic flagged, documented, patched, .. read more  

'I'm deeply uncomfortable': Anthropic CEO warns that a cadre of AI leaders, including himself, should not be in charge of the technology’s future
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Building serverless applications with Rust on AWS Lambda

AWS Lambda just bumpedRusttoGeneral Availability- production-ready, SLA covered, and finally with full AWS Support. Deploy withCargo Lambda. Wire it into your stack usingAWS CDK, which now has a dedicated construct to spin up HTTP APIs with minimal fuss. System-level shift:Serverless isn't just for .. read more  

Building serverless applications with Rust on AWS Lambda
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@kala shared a link, 3 weeks, 4 days ago
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What if you don't need MCP at all?

MostMCP serversstuffed into LLM agents are overcomplicated, slow to adapt, and hog context. The post calls them out for what they are: a mess. The alternative? Scrap the kitchen sink. UseBash, leanNode.js/Puppeteer scripts, and a self-bootstrappingREADME. That’s it. Agents read the file, spin up the.. read more  

What if you don't need MCP at all?
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@kala shared a link, 3 weeks, 4 days ago
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How to write a great agents.md: Lessons from over 2,500 repositories

A GitHub Copilot feature allows for custom agents defined inagents.mdfiles. These agents act as specialists within a team, each with a specific role. The success of an agents.md file lies in providing a clear persona, executable commands, defined boundaries, specific examples, and detailed informati.. read more  

How to write a great agents.md: Lessons from over 2,500 repositories
The use of artificial intelligence (AI) in e-commerce has resulted in significant enhancements to various aspects of the customer experience, including personalization, operations, and sales.

Natural language generation (NLG) tools, powered by machine learning algorithms, have emerged as one of the key ways in which AI has facilitated these improvements. These tools can autonomously create human-like written content, such as product descriptions and website copy, thereby reducing the workload of content creators. By integrating AI with Magento 2, online retailers can reap a multitude of benefits.

MageComp’s Magento 2 ChatGPT AI PRO extension automatically generates content for your Magento 2 store. The AI-powered Magento 2 extension seamlessly streamlines your website content operations. The ChatGPT AI for Magento 2 module automatically generates multiple types of website content like product description, metadata, image ALT text and other CMS page descriptions.

The admin is allowed to choose the length of the metadata and image ALT text content and the Magento 2 plugin will generate the content according to that. The plugin also lets the admin set custom prompts for AI-powered description generation. With the Magento 2 ChatGPT AI PRO module, Magento admins can save tons of valuable time and invest that time in other strategic activities.

Why Choose MageComp’s Magento 2 ChatGPT AI Pro extension?

Connects your Magento 2 store with Open API key.
Increases your Magento 2 store’s productivity.
Generates AI-powered content with the help of the page builder.
You can easily generate SEO-rich website content in bulk.
The module allows you to choose the content limit you want to generate.
You can add content prompts for exact AI-powered results.
Generates metadata like page titles, meta keywords and meta descriptions.
Speed up your content development process.
Improves your search engine rankings with SEO-rich keywords.
Boosts your business by creating SEO-rich content for it.

For More Magento 2 Extension Visit Magecomp.Com