The process we've gone through to analyze and manage the Docker images, particularly in addressing the large storage usage in the /var/lib/docker directory, has proven to be highly productive and efficient. By systematically identifying the root causes of the excessive disk usage—such as the accumulation of untagged images, unused containers, and redundant image layers—we were able to devise a clear and actionable plan to reclaim significant disk space. The step-by-step approach, starting with checking the container references using docker ps -a, followed by removing unused containers with docker container prune, and then targeting the dangling images with commands like
docker image prune -f, or the more direct docker images | grep '' | awk '{print $3}' | sort -u | xargs -r docker rmi -f, ensured that we addressed the issue comprehensively. This methodical cleanup not only reduced the storage footprint from 342GiB by approximately 70GiB by removing the unused images but also set a foundation for better Docker resource management moving forward.
Additionally, the process highlighted the importance of understanding Docker's image and container lifecycle, which can prevent similar issues in the future, making the overall workflow more streamlined and productive for maintaining system efficiency.
The interview process consisted of five rounds: * Four technical coding sessions * One behavioral assessment The coding challenges were predominantly LeetCode-style problems, designed to evaluate algorithmic thinking and problem-solving abiliti
I was asked a technical question on doubly linked lists. The task was to design and implement a restaurant queue system, ensuring all operations run in constant O(1) time complexity.
The interview was good. I was asked a basic question, but didn't prep well. I could have done better with preparation in place. The interviewer was helpful and explained the problem well.
The interview process consisted of five rounds: * Four technical coding sessions * One behavioral assessment The coding challenges were predominantly LeetCode-style problems, designed to evaluate algorithmic thinking and problem-solving abiliti
I was asked a technical question on doubly linked lists. The task was to design and implement a restaurant queue system, ensuring all operations run in constant O(1) time complexity.
The interview was good. I was asked a basic question, but didn't prep well. I could have done better with preparation in place. The interviewer was helpful and explained the problem well.