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Production server disk is full. The team panics and deletes the biggest log file… but the disk space still doesn’t come back. This happens because the application process is still holding the file o
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You’re debugging production the wrong way. Before logs. Before network. Before restarting everything… Check if your app is even running. This one mistake wastes hours in production. Save this befo
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Production is “fixed”… but no one knows why. This is one of the most dangerous situations in DevOps. Temporary fixes. No root cause. No proper debugging. And the bug comes back again… in production
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One flag mistake. $440M gone. This wasn’t a hack. This was a production deployment failure. A single server wasn’t updated. Old code got triggered. System started trading automatically — at a loss.
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Vacation done. Back to reality. Back to: – production issues – pipelines – debugging – building real systems Breaks are needed. But staying consistent is what actually changes your life. Let’s bu
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Friday evening… production is running… You deploy a fix and try to start a new instance… 💥 Port already in use. Simple fix? Kill the process. But what if that process is handling live traffic? K
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Most AI engineers focus on models… But production doesn’t fail there. It fails in infrastructure. Scaling mistakes, missing alerts, silent failures — that’s what actually takes systems down. If you
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Everyone wants to become an **AI engineer** today. But very few people are thinking about the **infrastructure that actually runs AI**. AI models don’t run on magic. They run on **clusters, containe
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A recent GitHub Actions security incident involving **HackerClawBot** exposed secrets from multiple open-source repositories, including the popular **Trivy** project. The attack started from a simple
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Yesterday we had a small DevOps meetup in Hyderabad and it was great meeting engineers from different backgrounds. Some were already working in DevOps, some were interns, and some were trying to swit
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Production still showing the old version even after deployment? This is one of the most common Nginx production mistakes engineers face during incidents. The config is correct. Deployment is successf
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Most engineers check **logs first** during production incidents. But sometimes the service is running… and still stuck. Logs show nothing useful. That’s where **strace** becomes powerful. It lets
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About @learnwithdevopsengineer

LearnwithDevOpsEngineer is a Instagram micro influencer in the Digital creator category. With 17K followers and 172 posts, learnwithdevopsengineer's account shows a follower-to-following ratio of 895.4:1. This profile demonstrates strong community engagement within its niche. View all content anonymously on Pictame - no login required.

learnwithdevopsengineer's engagement rate sits at 14.70%. That's 488% above what you'd typically see for accounts with 10K-100K followers (average 2.5%) — a sign of a genuinely connected audience.

Out of the last 12 posts, 83% are videos and 17% are photos. Notably, videos tend to get 14.0x more engagement than photos. New posts appear roughly every 2 days — a steady, reliable rhythm. Captions lean detailed, averaging 549 characters.

14.70% engagement rate — 488% above average for 10K-100K follower accounts.
83% videos, 17% photos. Videos get 14.0x more engagement here.
New content every 2 days — a steady rhythm.
895.4:1 follower-to-following ratio.

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learnwithdevopsengineer
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@learnwithdevopsengineer

LearnwithDevOpsEngineer

PublicDigital creator
Posts
172
Followers
17K
Top Hashtags
#devops#sre#linux#softwareengineering#DevOps#debugging#cloud#backend

Explore the most impactful hashtags used in recent posts. These tags highlight the core interests and trending topics that define this profile's digital influence and content strategy.

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Popular Hashtags

#follow#photo#friends#music#smile#family#life#amazing#instagram#lifestyle#gym#motivation
Following
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Engagement
14.69%

Production failures decoded DevOps engineers Infra breakdowns • No hype YouTube: LearnWithDevOpsEngineer 📩 learnwithdev...

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