InfoBuzz Tech

🔐 Day 10 – Docker Security Basics

Containers are fast ⚡
But insecure containers = major production risk 🚨

🔓 Common Mistakes:
❌ Running as root
❌ Using "latest" tag blindly
❌ Hardcoding secrets
❌ Exposing unnecessary ports
❌ Using untrusted images

✅ Best Practices:
✔ Use official & trusted images
✔ Pin image versions
✔ Run containers as non-root
✔ Scan images for vulnerabilities
✔ Use ".dockerignore"

🛠 Popular Security Tools:
• Trivy
• Snyk
• docker scan

💡 Small security changes can prevent major production issues.

Day 10 of #25DaysDocker 🚀


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1 month ago | [YT] | 2

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⚡ Day 9 – Docker Resource Limits

❓ Container running but app keeps crashing?
👉 Often it’s a CPU or memory issue.

🧠 By default, containers can use all host resources.
If memory runs out → Container gets OOMKilled 💥

🔴 Common Issues:
• Unexpected container crashes
• High CPU usage
• One container consuming everything

✅ Best Practices:
✔ Set CPU & memory limits
✔ Monitor resource usage
✔ Never run production containers without limits

🔧 Common Options:
"--memory="512m""
"--cpus="1.0""

🎯 Docker won’t manage resources automatically — you must define limits.

Day 9 of #25DaysDocker 🚀

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1 month ago | [YT] | 0

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⚡ Day 8 – Docker Logs & Monitoring

❓ Container is running but app not working?
👉 Check the logs first.

📄 Docker captures application logs from stdout & stderr.

🔍 Common Issues:
🔴 App crashes silently
🔴 Errors not visible
🔴 Logs lost after restart

🛠 Best Practices:
✔ Use "docker logs <container>"
✔ Follow logs with "docker logs -f"
✔ Log to stdout/stderr
✔ Use centralized logging (ELK, CloudWatch)

❌ Don’t store logs inside containers.

🎯 No logs = No debugging.

Day 8 of #25DaysDocker 🚀

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1 month ago | [YT] | 0

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⚡ Day 7 – Docker Volumes vs Bind Mounts

❌ Restarted container = Data gone?
That’s a persistence issue.

💾 Containers are temporary, so important data should live outside the container.

📦 Docker Volumes
✔ Managed by Docker
✔ Best for production
✔ Safer & portable

📁 Bind Mounts
✔ Good for local development
✔ Maps host folders directly
⚠️ Risky if misused in production

✅ Best Practice:
• Use Volumes for DB/app data
• Use Bind Mounts for local dev only

🎯 If your data matters, don’t store it inside the container.

Day 7 of #25DaysDocker 🚀

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1 month ago | [YT] | 2

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⚡ Day 6 – Docker Networking Basics

Containers don’t communicate using "localhost" ❌
They communicate through Docker networks 🌐

💡 Common Issues:
🔴 App can’t connect to DB
🔴 Containers on different networks
🔴 Hard-coded IP addresses

✅ Best Practices:
✔ Use user-defined bridge networks
✔ Connect using container names
✔ Use "docker network inspect" for debugging

🎯 If containers can’t talk, check the network first — not the code.

Day 6 of #25DaysDocker 🚀

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1 month ago | [YT] | 3

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⚡ Day 5 – Docker Layers & Caching

Every Dockerfile instruction creates a layer 🧱
Docker caches these layers to speed up builds.

💡 Docker rebuilds only the layers that change.

❌ Common Issues:
• Slow image builds
• Large image sizes
• Slower CI/CD pipelines

✅ Best Practices:
✔ Keep rarely changing steps first
✔ Copy dependency files before app code
✔ Combine RUN commands wisely

🎯 Better layer ordering = Faster Docker builds

Day 5 of #25DaysDocker 🚀


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1 month ago | [YT] | 3

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🐳 Day 4 – Dockerfile Basics

Docker images are created using a Dockerfile 📄

It contains step-by-step instructions to build an image.

🧱 Common Instructions:
• "FROM" → Base image
• "WORKDIR" → Working directory
• "COPY" → Copy files
• "RUN" → Install dependencies
• "CMD" → Start the app

🔁 Flow:
Dockerfile ➜ Image ➜ Container 🚀

💡 Why it matters?
✅ Consistent builds
✅ Faster deployments
✅ Same app everywhere

Day 4 of #25DaysDocker 🚀

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1 month ago | [YT] | 5

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🐳 Day 3 – Docker Image vs Container

Many beginners confuse these 👇

🧱 Docker Image
• Read-only template
• Contains app + dependencies
• Built once
👉 Think: Blueprint / Recipe

📦 Docker Container
• Running instance of an image
• Can start, stop, crash, or delete
👉 Think: Running application

🧠 Golden Rule:
✅ You build Images
✅ You run Containers

💡 Containers are temporary
💡 Images are reusable

Day 3 of #25DaysDocker 🚀

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1 month ago | [YT] | 2

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🐳 Day 2 – Docker Architecture

Docker follows a simple Client–Server model ⚙️

🔹 Main Components:
• Docker Client → where commands run
• Docker Engine → does the actual work
• Docker Image → blueprint of the app
• Docker Container → running app instance
• Docker Registry → stores images (Docker Hub, ECR)

🔁 How it works:
1️⃣ Run Docker command
2️⃣ Client talks to Engine
3️⃣ Image gets pulled/built
4️⃣ Container starts

💡 Understanding Image vs Container helps a lot in real-time debugging.

Day 2 of #25DaysDocker 🚀

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1 month ago | [YT] | 1

InfoBuzz Tech

🚀 Day 1 – Why Docker Exists

Ever heard this? 👇
❌ “It works on my machine”

Before Docker:
• Apps worked on developer laptops
• Failed in QA/Production
• Same code → different results

Why?
⚠️ Different OS
⚠️ Different runtimes
⚠️ Missing libraries
⚠️ Config issues

✅ Docker solved this by packaging:
• Code
• Runtime
• Libraries
• Configurations

into a Docker Image 🐳

➡️ Same image = Same behavior everywhere

Day 1 of #25DaysDocker 🚀
#infobuzztech

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1 month ago | [YT] | 4