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Managing multiple projects while delivering high-quality technical content requires discipline, organization, and the right tools. Sandip Das, a Senior Cloud, DevOps, and MLOps Engineer, shares his approach to balancing client work, personal projects, and content creation. His method involves strict time management, dedicated workspaces, and structured workflows.
You Should Know:
1. Time Management & Workflow
- Early mornings (5-6 AM) are reserved for writing premium content.
- Work hours focus on client and personal projects.
- Evenings are for publishing and sharing articles.
2. Dedicated Workspace Setup
- Work Laptop: Only client/project-related tools.
- Lab Laptop: Used for experimentation, testing, and content development.
3. Essential Tools & Commands for Cloud/DevOps Engineers
Here are some key commands and tools to streamline workflows:
Linux Commands for Productivity
Monitor system resources htop df -h Check disk space free -m Check RAM usage Manage processes efficiently ps aux | grep "process_name" kill -9 <PID> Terminate unresponsive processes Automate tasks with cron crontab -e Edit cron jobs /30 /path/to/script.sh Run script every 30 mins
Kubernetes & Docker Commands
Check Kubernetes cluster status kubectl get pods -A kubectl logs <pod_name> Docker container management docker ps -a docker exec -it <container_id> /bin/bash
Infrastructure as Code (Terraform)
Initialize & apply Terraform config terraform init terraform plan terraform apply -auto-approve Destroy resources terraform destroy
AWS CLI for CloudOps
List S3 buckets aws s3 ls Check EC2 instances aws ec2 describe-instances Manage EKS clusters aws eks list-clusters
4. Content Creation & Testing
- Use Markdown for structured documentation.
- Test code snippets in isolated environments before publishing.
What Undercode Say:
Efficiency in DevOps and CloudOps comes from structured workflows, automation, and disciplined time management. By separating workspaces, leveraging automation tools, and maintaining a strict schedule, engineers can manage multiple projects while contributing to the tech community.
Prediction:
As CloudOps and MLOps evolve, engineers who master automation, Kubernetes, and IaC will dominate the industry. Expect more AI-driven DevOps tools to emerge, reducing manual intervention.
Expected Output:
A structured, actionable guide on balancing technical work and content creation with verified commands and best practices.
Relevant URLs:
References:
Reported By: Sandip Das – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
