
Ajay Yadav
38.3K posts

Ajay Yadav
@ATechAjay
Software Developer @CreoWisTech | Building @TheDivSoup | Technical Writer | Daily Post on Web dev, AI Tools | DM/Mail for paid Collab: [email protected]





We’re launching cara-4, @Anam__ai new flagship real-time avatar model. Avatars can now adapt their emotion and expressions throughout the conversation, while builders stay in control of how they perform.


We’re launching cara-4, @Anam__ai new flagship real-time avatar model. Avatars can now adapt their emotion and expressions throughout the conversation, while builders stay in control of how they perform.





🐳 Day 6/30 — #Docker Containers are designed to be temporary. If a container is removed, any data stored inside it is lost. Docker Volumes solve this problem by providing persistent storage that exists independently of containers. Docker Volumes – Persistent Storage and Data Management Docker volumes allow applications to store and manage data safely, even when containers are stopped, restarted, or deleted. Volumes are the recommended way to persist data in Docker because they are managed by Docker and optimized for performance. Why Docker Volumes? Without volumes: → Container is deleted → Application data is lost With volumes: → Data survives container removal → Multiple containers can access shared data (when appropriate) → Easy backup and migration → Better performance than storing data inside containers Volumes are commonly used for databases, file uploads, logs, and application data. Creating a Volume Create a new volume: → docker volume create postgres-data List available volumes: → docker volume ls Inspect a volume: → docker volume inspect postgres-data Docker stores the volume in a managed location on the host machine. Using a Volume Attach a volume when running a container: → docker run -d → --name postgres-db → -v postgres-data:/var/lib/postgresql/data → postgres The -v option mounts the volume into the container. Any data written to /var/lib/postgresql/data is stored persistently. Viewing Volume Usage Inspect running containers: → docker ps View mounted volumes: → docker inspect postgres-db This shows where volumes are attached inside the container. Removing Volumes Remove an unused volume: → docker volume rm postgres-data Remove unused volumes: → docker volume prune Be careful—removing a volume permanently deletes its stored data. Volumes vs Bind Mounts Docker Volumes → Managed by Docker → Portable across environments → Better performance → Recommended for production Bind Mounts → Maps a host directory into the container → Useful during development → Allows live editing of project files → Depends on the host filesystem structure For databases and production applications, Docker volumes are usually the better choice. Project Run PostgreSQL with persistent data. Complete the following tasks: → Create a Docker volume: → docker volume create postgres-data → Run a PostgreSQL container using the volume: → docker run -d → --name postgres-db → -e POSTGRES_PASSWORD=mysecretpassword → -v postgres-data:/var/lib/postgresql/data → -p 5432:5432 → postgres → Verify the container is running: → docker ps → Stop the container: → docker stop postgres-db → Start it again: → docker start postgres-db → Confirm your database data is still available The PostgreSQL data remains intact because it is stored in the Docker volume rather than inside the container. Why This Matters: → Persist application and database data → Prevent data loss when containers are removed → Simplify backups and migrations → Build reliable production deployments → Learn one of Docker's most important storage features Understanding Docker volumes is essential for running databases, stateful applications, and production workloads that require reliable persistent storage. 🐳 Grab Docker Ebook: codewithdhanian.gumroad.com/l/vnqwjy #Docker #DockerTutorial #DockerVolumes #PostgreSQL #Containers #Databases #DevOps #CloudComputing #SoftwareEngineering #100DaysOfCode

💰 Vercel is free. 💰 Stripe is pay-per-sale. 💰 Beehiiv is free to 2,500 subs. 💰 Gumroad is free until you sell. 💰 Lemon Squeezy is free until you sell. You can launch a paid product this week without spending a rupee. The zero-cost dev side-hustle stack 👇 1/ Product hosting: Gumroad / Lemon Squeezy (they take a cut only when you earn). 2/ Newsletter: Beehiiv or Substack (free tiers, built-in growth tools). 3/ Landing page: Next.js on Vercel, or Carrd for no-code (free). 4/ Payments: Stripe / Razorpay (per-transaction, no upfront). 5/ Audience: X + LinkedIn (free distribution you already have). 6/ Design: Canva AI free tier for covers and mockups. 7/ Analytics: PostHog / Vercel Analytics free tier. The only thing you're spending is time. And the first sale funds everything else. Follow @ATechAjay and Repost this post for more content around web dev, money making, AI tools, etc.









