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Will AI replace DevOps engineers? Anthropic is reportedly planning more than $518 BILLION in AI infrastructure spending over the next decade. AI can automate a lot of the work we do — writing scripts, generating Terraform, creating configs and helping troubleshoot. But AI still needs infrastructure. Compute. Networking. Storage. Security. Observability. Reliability. The opportunity isn't in memorizing more DevOps tools. It's in understanding how infrastructure actually works. Save this for later. And don't share it with too many DevOps engineers #devops #cloudcomputing #ai #sre #cloudengineer devopsengineer terraform kubernetes linux techcareers
Will AI replace DevOps engineers? Anthropic is reportedly planning more than $518 BILLION in AI infrastructure spending over the next decade. AI can automate a lot of the work we do — writing scripts, generating Terraform, creating configs and helping troubleshoot. But AI still needs infrastructure. Compute. Networking. Storage. Security. Observability. Reliability. The opportunity isn't in memorizing more DevOps tools. It's in understanding how infrastructure actually works. Save this for later. And don't share it with too many DevOps engineers #devops #cloudcomputing #ai #sre #cloudengineer devopsengineer terraform kubernetes linux techcareers
You’re stepping into DevOps, and Linux is the first thing you meet. . . . #linux #tech #computerscience #fyp #engineermindset . . { Tags: linux, devops, it, tech, computer science, developers, coding, engineering, i use arch btw, trending audio, trends, fyp, for you, opsec, os, life, work life }
You’re stepping into DevOps, and Linux is the first thing you meet. . . . #linux #tech #computerscience #fyp #engineermindset . . { Tags: linux, devops, it, tech, computer science, developers, coding, engineering, i use arch btw, trending audio, trends, fyp, for you, opsec, os, life, work life }
Most teams don't break production because they're bad at code. They break it because a human had to remember every step. SSH into the server. Pull the latest code. Install. Build. Copy files. Restart. Hope nothing breaks. Forget one step, like the database migration, and the site goes down with a 502 error. That's the problem CI/CD solves. It has two halves: CI (Continuous Integration) answers one question: is this code safe to merge? Every push runs the same pipeline automatically. It installs dependencies, runs the linter, runs unit and integration tests, builds the app and scans for vulnerabilities. If one check fails, the pipeline turns red and that code can't be merged until it's fixed. CD answers a different question: can we safely release it? The tested code becomes a release artifact (often a Docker image). It goes to staging first, where more checks run, and then on to production. Here's the part most people mix up: → Continuous DELIVERY: a human still clicks "deploy" before production. → Continuous DEPLOYMENT: if every check passes, it ships automatically. No human needed. And when something still goes wrong, good pipelines don't just ask "did the server start?" They ask "are health checks passing?" They roll out to 5% of users first (a canary), then 25%, 50%, 100%, and they roll back the moment error rates spike. Everything in this video comes from a real run: real commits, real test results, a real failing test (expected $3.56, got $4), and a real GitHub Actions workflow file. The real point of CI/CD isn't speed. It's that every release follows the exact same steps, every single time. Watch it to the end: the bug that brings production down at the end is the step that got forgotten at the start 👀 Save this for your next system design interview, and send it to the friend who still deploys over SSH. Which side does your team run: delivery or deployment? 👇 #cicd #devops #githubactions #softwareengineering #coding
Most teams don't break production because they're bad at code. They break it because a human had to remember every step. SSH into the server. Pull the latest code. Install. Build. Copy files. Restart. Hope nothing breaks. Forget one step, like the database migration, and the site goes down with a 502 error. That's the problem CI/CD solves. It has two halves: CI (Continuous Integration) answers one question: is this code safe to merge? Every push runs the same pipeline automatically. It installs dependencies, runs the linter, runs unit and integration tests, builds the app and scans for vulnerabilities. If one check fails, the pipeline turns red and that code can't be merged until it's fixed. CD answers a different question: can we safely release it? The tested code becomes a release artifact (often a Docker image). It goes to staging first, where more checks run, and then on to production. Here's the part most people mix up: → Continuous DELIVERY: a human still clicks "deploy" before production. → Continuous DEPLOYMENT: if every check passes, it ships automatically. No human needed. And when something still goes wrong, good pipelines don't just ask "did the server start?" They ask "are health checks passing?" They roll out to 5% of users first (a canary), then 25%, 50%, 100%, and they roll back the moment error rates spike. Everything in this video comes from a real run: real commits, real test results, a real failing test (expected $3.56, got $4), and a real GitHub Actions workflow file. The real point of CI/CD isn't speed. It's that every release follows the exact same steps, every single time. Watch it to the end: the bug that brings production down at the end is the step that got forgotten at the start 👀 Save this for your next system design interview, and send it to the friend who still deploys over SSH. Which side does your team run: delivery or deployment? 👇 #cicd #devops #githubactions #softwareengineering #coding
DEV: Party 🥳| Tester :Panic 💀 . . . [DEV, QA, DevOps, fun, product, client, Bug, Go- live, Release]
DEV: Party 🥳| Tester :Panic 💀 . . . [DEV, QA, DevOps, fun, product, client, Bug, Go- live, Release]
Se você começou sua jornada na tecnologia em 2018, provavelmente o seu roadmap era bem diferente. Em 2026, a IA não está substituindo o desenvolvedor está mudando a forma como a gente aprende, desenvolve e evolui na carreira. Quem quer se manter atualizado precisa entender cada vez mais como Cloud, DevOps e IA se conectam no desenvolvimento de software. E você: qual stack está escolhendo para evoluir em 2026? [cloud computing, devops, aws, azure, gcp, terraform, kubernetes, docker, github, notion, vercel, cursor ai, claude code, ferramentas de ia, carreira tech, engenharia de software, cloud engineer] #devops #cloudcomputing #aws #softwareengineering #aitools programacao tecnologia carreiratech inteligenciaartificial
Se você começou sua jornada na tecnologia em 2018, provavelmente o seu roadmap era bem diferente. Em 2026, a IA não está substituindo o desenvolvedor está mudando a forma como a gente aprende, desenvolve e evolui na carreira. Quem quer se manter atualizado precisa entender cada vez mais como Cloud, DevOps e IA se conectam no desenvolvimento de software. E você: qual stack está escolhendo para evoluir em 2026? [cloud computing, devops, aws, azure, gcp, terraform, kubernetes, docker, github, notion, vercel, cursor ai, claude code, ferramentas de ia, carreira tech, engenharia de software, cloud engineer] #devops #cloudcomputing #aws #softwareengineering #aitools programacao tecnologia carreiratech inteligenciaartificial
Your ultimate DevOps cheat sheet — Linux, GitHub, CI/CD, Docker, AWS & more, all in one video! (DevOps cheat sheet, DevOps for beginners, DevOps roadmap, Linux commands, Git and GitHub, CI/CD pipeline, Docker tutorial, AWS for beginners, DevOps tools, cloud computing, DevOps learning, tech learning resources, software engineering students) #instagood #techskills #techbabecodes #codelife #viral
Your ultimate DevOps cheat sheet — Linux, GitHub, CI/CD, Docker, AWS & more, all in one video! (DevOps cheat sheet, DevOps for beginners, DevOps roadmap, Linux commands, Git and GitHub, CI/CD pipeline, Docker tutorial, AWS for beginners, DevOps tools, cloud computing, DevOps learning, tech learning resources, software engineering students) #instagood #techskills #techbabecodes #codelife #viral
Here’s the list of best Devops YT channels: 1. Abhishek Veeramalla (@abhishekveeramalla) Principal Software Engineer @ Red Hat, GitOps/ArgoCD maintainer. Zero-to-Hero courses — Docker, Kubernetes, CI/CD, AWS, complete DevOps, project-based. 2. TechWorld with Nana (@TechWorldwithNana) Nana Janashia, most clean beginner explanation — Docker, Kubernetes, Terraform, CI/CD. Weekly structured courses. 3. TrainWithShubham (@trainwithshubham) Shubham Londhe, 8+ yrs DevOps/Cloud exp. Hindi explanation — DevOps, Cloud, Python, interview prep, daily uploads. 4. KodeKloud (@kodekloud) Hands-on labs-first — Kubernetes, Docker, Ansible, CKA/CKAD prep. Structured, methodical. 5. Anton Putra (@AntonPutra) Deep AWS + Kubernetes + Terraform content. Real production-grade infra projects, not surface-level — which is actually asked in interviews. Comment ‘devops’ to get your fresher roadmap. . . . . . . #viralreels #office #fypppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppp #lifeofasoftwareengineer #trending corporate corporatereels trendingreels viral reel officereels fyp foryou career job findingjob jobhunt
Here’s the list of best Devops YT channels: 1. Abhishek Veeramalla (@abhishekveeramalla) Principal Software Engineer @ Red Hat, GitOps/ArgoCD maintainer. Zero-to-Hero courses — Docker, Kubernetes, CI/CD, AWS, complete DevOps, project-based. 2. TechWorld with Nana (@TechWorldwithNana) Nana Janashia, most clean beginner explanation — Docker, Kubernetes, Terraform, CI/CD. Weekly structured courses. 3. TrainWithShubham (@trainwithshubham) Shubham Londhe, 8+ yrs DevOps/Cloud exp. Hindi explanation — DevOps, Cloud, Python, interview prep, daily uploads. 4. KodeKloud (@kodekloud) Hands-on labs-first — Kubernetes, Docker, Ansible, CKA/CKAD prep. Structured, methodical. 5. Anton Putra (@AntonPutra) Deep AWS + Kubernetes + Terraform content. Real production-grade infra projects, not surface-level — which is actually asked in interviews. Comment ‘devops’ to get your fresher roadmap. . . . . . . #viralreels #office #fypppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppp #lifeofasoftwareengineer #trending corporate corporatereels trendingreels viral reel officereels fyp foryou career job findingjob jobhunt
If you started your tech journey in 2020, your roadmap probably looked very different. In 2026, ai isn't replacing the developer, it's changing how they learn, build, and grow. The smartest professionals are combining cloud, devops, and ai to stay ahead. Which stack are you choosing? [cloud computing, devops, aws, azure, gcp, terraform, kubernetes, docker, github, notion, vercel, cursor ai, claude code, coding tools, tech careers, software engineering, cloud engineer, ai tools] #devops #cloudcomputing #aws #softwareengineering #aitools
If you started your tech journey in 2020, your roadmap probably looked very different. In 2026, ai isn't replacing the developer, it's changing how they learn, build, and grow. The smartest professionals are combining cloud, devops, and ai to stay ahead. Which stack are you choosing? [cloud computing, devops, aws, azure, gcp, terraform, kubernetes, docker, github, notion, vercel, cursor ai, claude code, coding tools, tech careers, software engineering, cloud engineer, ai tools] #devops #cloudcomputing #aws #softwareengineering #aitools
Devopssss🫡 #instagood #relatable #corporate #corporatelife #funny [corporate, corporatelife, devops engineering, funny, relatable, itlife, office, manager, meetings, calls, production, deployments]
Devopssss🫡 #instagood #relatable #corporate #corporatelife #funny [corporate, corporatelife, devops engineering, funny, relatable, itlife, office, manager, meetings, calls, production, deployments]
comment “yt” if you want the guide My thoughts. #cybersecurity #cloudcomputing #informationtechnology Devsecops Development security operations Devops Development operations Cloud engineer vs cybersecurity Cloud security engineer roadmap My first paycheck as a cloud engineer Cloud engineer paycheck Cloud engineer explained Cloud architect Cloud engineering Cybersecurity auditor GRC grc Cloud engineer Vs software engineer How to get into cybersecurity How much does cybersecurity pay My first paycheck as a cyberse
comment “yt” if you want the guide My thoughts. #cybersecurity #cloudcomputing #informationtechnology Devsecops Development security operations Devops Development operations Cloud engineer vs cybersecurity Cloud security engineer roadmap My first paycheck as a cloud engineer Cloud engineer paycheck Cloud engineer explained Cloud architect Cloud engineering Cybersecurity auditor GRC grc Cloud engineer Vs software engineer How to get into cybersecurity How much does cybersecurity pay My first paycheck as a cyberse
☁️ Code scanned. What do you check next? I am Sanjeev Kumar, ☁️ DevOps | Cloud | AI Architect 🚀 Helping you build job-ready skills for DevOps, Cloud & AI roles. Follow for more industry-level projects and practical expertise. 🎯 In this reel, the candidate explains the findings a SonarQube report can show, including bugs, duplication and code smells. ✅ Read the findings, not just the green pipeline status. 🔎 Define a quality gate so everyone knows which issues block a release. 🧠 Add the other checks your workload needs. Static analysis is not a replacement for dependency or runtime security testing. 📌 Save this for your next interview. 💬 Which finding would you make a release blocker, and why? The diagram adds a quality-gate decision as a learning example. The candidate does not describe that gate here. The score assesses the response shown, not the person. 🔴▶️ Watch the full video on my YouTube channel: https://www.youtube.com/@devops-cloud-ai #DevOps #DevSecOps #SonarQube #CICD #InterviewPreparation
☁️ Code scanned. What do you check next? I am Sanjeev Kumar, ☁️ DevOps | Cloud | AI Architect 🚀 Helping you build job-ready skills for DevOps, Cloud & AI roles. Follow for more industry-level projects and practical expertise. 🎯 In this reel, the candidate explains the findings a SonarQube report can show, including bugs, duplication and code smells. ✅ Read the findings, not just the green pipeline status. 🔎 Define a quality gate so everyone knows which issues block a release. 🧠 Add the other checks your workload needs. Static analysis is not a replacement for dependency or runtime security testing. 📌 Save this for your next interview. 💬 Which finding would you make a release blocker, and why? The diagram adds a quality-gate decision as a learning example. The candidate does not describe that gate here. The score assesses the response shown, not the person. 🔴▶️ Watch the full video on my YouTube channel: https://www.youtube.com/@devops-cloud-ai #DevOps #DevSecOps #SonarQube #CICD #InterviewPreparation
Behind every fast app is a smart traffic manager ✔️ - L4 keeps it fast - L7 makes it smart Know when to use each, and you level up your system design game save and follow for more 👾 #loadbalancer #networking #devops #systemdesign [TCP, UDP, Scalability, L7, L4, HTTP, Cloud APIs, SmartRouting]
Behind every fast app is a smart traffic manager ✔️ - L4 keeps it fast - L7 makes it smart Know when to use each, and you level up your system design game save and follow for more 👾 #loadbalancer #networking #devops #systemdesign [TCP, UDP, Scalability, L7, L4, HTTP, Cloud APIs, SmartRouting]
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