Uday👨‍💻

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Uday👨‍💻

Uday👨‍💻

@uday_devops

DevOps Engineer | MLOps Enthusiast |Learning and sharing 💻🤖| DM for collaboration 💫

Katılım Aralık 2022
1.6K Takip Edilen5.7K Takipçiler
Kashyap
Kashyap@kbkthebolt·
Good night everyone!!
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Uday👨‍💻 retweetledi
Uday👨‍💻
Uday👨‍💻@uday_devops·
Name a tool you use every single day.. For me : - Jira - GitHub - Jenkins - VS Code - AWS
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Neeraj
Neeraj@neerajjj6785·
What is the best choice for Developers? Mac or Linux?
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Uday👨‍💻
Uday👨‍💻@uday_devops·
If you have $20, which one do you choose? - Claude - Clodex - Gemini
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naveen kumar
naveen kumar@naveenp178·
@uday_devops COPY is used to copy files from server to container While ADD does what COPY does and we can also download files from internet to our container
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Uday👨‍💻
Uday👨‍💻@uday_devops·
Interviewer: What is the difference between COPY and ADD in Dockerfile?
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Abhiram D
Abhiram D@meAbhiramD·
@uday_devops Why I am seeing that all replies are seemingly AI generated 🤔
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The Happy Path
The Happy Path@The_HappyPath·
@uday_devops COPY just copies. ADD also fetches remote URLs and auto-extracts tar archives, which is why hadolint flags it by default. Most Dockerfiles should stick with COPY and reach for ADD only when one of those features is actually needed.
The Happy Path tweet media
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White Rabbitx 🏴‍☠️
@uday_devops The real interview question is how many times have we googled COPY vs ADD even after using Docker for years 😂🤣🤣🤣
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Monii
Monii@monikabhatii_·
@uday_devops COPY just copies files. ADD can also extract archives and fetch URLs.
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Kashyap
Kashyap@kbkthebolt·
For backend interviews… DSA 🧠 System Design ⚙️ Cloud ☁️ Debugging 🐞 What matters most in 2026? 👀
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Shefali
Shefali@Shefali__J·
Do you have a personal blog? Drop the link 👇
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Uday👨‍💻 retweetledi
Uday👨‍💻
Uday👨‍💻@uday_devops·
You’re not a DevOps Engineer until you understand these terms: - Infrastructure as Code (IaC) → Managing servers via machine-readable files. - GitOps → Using Git repositories as the "source of truth" for infrastructure state. - Kubernetes (K8s) → Orchestrating and managing containerized workloads at scale. - CI/CD Pipelines → Automating the path from code push to production deployment. - Docker → Standardizing applications into portable, isolated containers. - Terraform/Ansible → Declarative provisioning and automated configuration management. - Helm → The package manager for Kubernetes to define and install complex apps. - Observability → Using logs, metrics, and traces to understand system health. - Drift Detection → Identifying when actual infrastructure doesn't match the code. - Sidecar Pattern → Deploying helper containers alongside the main app for logging or security. - Argo CD → A declarative GitOps tool for continuous delivery in Kubernetes. - Horizontal Pod Autoscaling (HPA) → Dynamically scaling workloads based on CPU or memory usage. - Blue/Green Deployment → Reducing downtime by routing traffic between two identical environments. - Shift Left Security → Integrating security checks early in the development lifecycle. Building a local container is easy. Managing Production Infrastructure is not.
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