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@thiruk2014

#Ilaiyaraja #cloud security #cyber security

world Katılım Mart 2014
5.3K Takip Edilen584 Takipçiler
thiru
thiru@thiruk2014·
பலரும் என்னிடம் கேட்பது `நீங்கள் எல்லாவற்றையும் சாதித்துவிட்டீர்கள், எது உங்களை இன்னும் செலுத்துகிறது?' என்றுதான். Humble words from தம்பி 😂😂 @_0sagi
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thiru
thiru@thiruk2014·
@golangch Local reverse proxy — stable .localhost URLs for development. Stop memorizing port numbers. Use http://myapp.localhost:7777 instead of http://localhost:4231. github.com/thirukguru/loc…
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Govardhana Miriyala Kannaiah
Govardhana Miriyala Kannaiah@govardhana_mk·
Practical Linux Guide for DevOps Engineers (only for 48 hrs) 👇 On popular demand, I’m re-sharing this freebie to DevOps and Cloud engineers to strengthen their Linux foundation with simple, practical guidance that actually works. It’s a reference you can revisit anytime while managing and troubleshooting production systems. FREE downloads will be blocked and, as usual, will only be available via referral in 2 days. Grab your limited-time FREE copy by: 1) Comment 'linux' 2) Subscribe here: techopsexamples.com/subscribe 3) Check the mailbox with the 'sub: Re: 🍿 TechOps Examples' to download. Existing TechOps Examples subsribers, download directly from this latest edition: techopsexamples.com/p/how-to-desig… 🔁 Consider a Repost if this is helpful.
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Marko Denic
Marko Denic@denicmarko·
Share your GitHub profiles below! Don’t just drop your link and leave. Take a look at other profiles, star the repos that impress you, and follow developers building cool things. Let’s help everyone in this community succeed.
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Alton Syn
Alton Syn@WorkflowWhisper·
antigravity is quietly becoming the most dangerous tool in automation. i've been testing it for 2 weeks and here's what nobody's talking about: you can build entire n8n workflows without ever opening n8n. not drag and drop. not templates. not watching a 45-minute youtube tutorial from some course seller. you describe what you want. antigravity builds it. here's what i shipped this week from a single antigravity session: → restaurant reservation no-show recovery system (texts customer, offers reschedule, logs to CRM) - 8 min → real estate lead scoring pipeline (scrapes zillow inquiries, scores by budget, routes to agents) - 12 min → fitness studio class waitlist + auto-fill (cancellation triggers SMS to next 3 on list) - 6 min → HVAC seasonal maintenance reminder engine (customer history → personalized outreach → booking link) - 9 min → auto-invoice generator that fires the moment a job is marked complete - 4 min 5 workflows. 39 minutes total. zero nodes dragged. consultants would quote $12K-$25K for this package and deliver it in 6-8 weeks. the entire game just shifted and most people building automations haven't noticed yet. i put together a free PDF breaking down exactly how to set this up: → antigravity → n8n deployment pipeline (step by step) → all 5 prompts above (copy-paste ready) → 4 advanced prompts for multi-system workflows → how to connect it to synta MCP for self-healing → pricing guide for selling these to local businesses comment "ANTIGRAVITY" and i'll send it. (must be following for DM)
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Chidanand Tripathi
Chidanand Tripathi@thetripathi58·
🚨BREAKING: Someone just solved the "Goldfish Memory" problem in AI Agents. It's called AgentKeeper and it gives your agents permanent cognitive memory. - Switch from GPT-4 to Claude mid-conversation? Memory stays. - Agent crashes or restarts? Memory stays. - 95% recovery rate of critical facts. 100% Open Source.
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Branko
Branko@brankopetric00·
Your Docker image is 2.4GB. Your deployment takes 8 minutes just to pull the image. Here's the Dockerfile: FROM ubuntu:22.04 RUN apt-get update && apt-get install -y python3 python3-pip nodejs npm COPY . /app WORKDIR /app RUN pip3 install -r requirements.txt RUN npm install RUN apt-get install -y curl wget vim htop net-tools RUN npm run build CMD ["python3", "app.py"] Layer cache is never hit because requirements.txt changes frequently. Constraints: - App needs both Python and Node.js (Python API serves a React frontend) - 340 Python dependencies, 890 npm packages - Build runs in CI 40 times per day Get this image under 500MB and the build under 3 minutes. What do you change?
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The Tech Fusionist
The Tech Fusionist@TTechFusionist·
🎁 𝗔𝗜 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥𝗜𝗡𝗚 𝗘𝗕𝗢𝗢𝗞 𝗚𝗜𝗩𝗘𝗔𝗪𝗔𝗬 🚀 I just published this new ebook “Learn AI Engineering in 11 Weeks” a practical roadmap from 𝗟𝗟𝗠 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 → 𝗥𝗔𝗚 → 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 → 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗲𝘃𝗮𝗹𝘀. To celebrate, I’m giving it away for free to my X community. 👥 This giveaway is for you if you are: - A beginner curious about how AI really works - A DevOps / Cloud / Backend engineer moving into AI - A tech professional tired of surface-level AI content - Someone who wants to build real AI systems, not just prompts 📘 What you’ll learn: - How LLMs actually work under the hood - RAG pipelines, vector databases, and safety guardrails - AI agents, tool calling, MCP, and multi-agent systems - How production AI systems are evaluated and shipped ✅ How to enter: 1️⃣ Follow me (@TTechFusionist), so you will get it over DM 2️⃣ Like this post 3️⃣ Comment “AI-11-week-guide” 4️⃣ Tag 2 people who should learn AI properly
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ish.exe
ish.exe@ishtwts·
As a developer, is there a language you dislike?👩‍💻
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Adit_Yah🍁
Adit_Yah🍁@Adidotdev·
Which backend framework do you use ?
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Piyush
Piyush@piyush784066·
Best backend language in your opinion? 1. Node.js 2. Java 3. Python 4. Go 5. Language doesn’t matter, architecture does.
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Vaishnavi
Vaishnavi@_vmlops·
Which cloud platform do you actually enjoy working on AWS, Azure or GCP?
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Security Trybe
Security Trybe@SecurityTrybe·
So, Linux folks, which team are you? 🤔
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Bhavani.py
Bhavani.py@Bhavani_00007·
Which backend framework do you use ?
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thiru
thiru@thiruk2014·
@cyber_razz Format A.B.C: Becomes A.B.0.C.
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thiru
thiru@thiruk2014·
@livingdevops 🛠️ Just shipped **LogMonster**, a small CLI utility to find disk hogs caused by excessive logging. Looking for feedback, issues, and ideas for improvements 👇 github.com/thirukguru/log…
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Akhilesh Mishra
Akhilesh Mishra@livingdevops·
Early in my DevOps career, I deleted a 5GB log file from a production server that was running out of space. I ran df -h expecting to see the disk usage drop. It didn’t. Still showed 100% full. No errors, no warnings. Just the same disk usage as before I deleted anything. That’s when I learned that deleting a file doesn’t always free up space immediately. In Linux, what we think of as a “file” is actually two separate things: the filename (which is just a pointer) and the inode (which contains the actual data and metadata). When you delete a filename, you’re only removing the pointer. The inode and its data remain on disk as long as any process still has the file open. In my case, the web server was still writing to that log file. Even though I had deleted the filename, the server process kept its file handle open. The inode stayed alive, invisible to normal file listings but still consuming disk space. The space was only freed when I restarted the web server, which closed all its file handles. This is why you need different commands to see the full picture: # Check filesystem usage - df -h # Check actual directory sizes - du -sh /var/log/* # Find deleted files still open by processes - lsof +L1 The du command shows you what’s actually using space in directories, while df shows filesystem-level usage. When they don’t match, you often have deleted files still held open by running processes. This is also why proper log rotation doesn’t just delete files. Tools like logrotate rename files and send signals to processes so they can close and reopen their file handles cleanly. Three key takeaways: 1. Filenames are just pointers to inodes 1. Deletion only happens when no processes reference the inode 1. Always check both df and du when troubleshooting disk space It’s a small detail, but understanding it can save you from confusing production incidents.
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thiru
thiru@thiruk2014·
@brankopetric00 1)restrict_public_buckets = true is missing, 2) remove http://
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Branko
Branko@brankopetric00·
Someone on your team wrote this Terraform: resource "aws_s3_bucket" "data" { bucket = "company-prod-data-${var.env}" } resource "aws_s3_bucket_versioning" "data" { bucket = aws_s3_bucket.data.id versioning_configuration { status = "Enabled" } } resource "aws_s3_bucket_public_access_block" "data" { bucket = aws_s3_bucket.data.bucket block_public_acls = true block_public_policy = true ignore_public_acls = true } This passed code review. There's a problem. Can you spot it?
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