Ten Commandments for working from home
Start early — at the time you usually leave to work. Don’t squander the travel time.
Have a dedicated room, or at least a table for your work (keep charging cable ready here)
Try to keep your calls to one session — before or after noon. Wear pants at least during this session.
Use the saved travel time for lunch. A relaxed lunch; a ted talk, or a twenty minute episode of something. Going for a walk in times without COVID-19.
Call it a day when you usually finish working.
Travel time is again at your disposal. Take at least half of it to sharpen the saw — improve your skills.
Cook in the evening. Tomorrow’s lunch won’t prepare itself.
If your partner works from home too, align your calendars on Sunday evening, to avoid conflicts in the study.
If childcare is necessary, roughly divide the hours the previous day itself.
DO NOT FORGET to show your boss that you’re actually more productive, and the time you put into improving skills will pay off in future WFH — even when Corona is a distant memory.
About the author
We have other interesting reads
From Proof-of-Concept to Production: Evolving Your Self-Healing Infrastructure
In the previous article, we explored building a self-healing nginx infrastructure using KAgent and KHook, covering autonomous configuration validation, intelligent analysis, and automated remediation.
Revolutionizing Kubernetes Configuration Management with KHook and KAgent: A Comprehensive Solution for Automated Nginx Troubleshooting and Remediation
Picture this: It’s 3 AM, and your phone is buzzing with alerts. Your nginx web server is crashing every few minutes, stuck in an endless restart loop. Your website is down, customers are frustrated, and you’re manually troubleshooting configuration issues that should be simple to fix
Crossplane & Composition: Taming Secrets at Scale
In one of our client engagements, the development team found themselves in a bind. Running Kubernetes on AWS, they had to juggle **dozens of apps** — -each needing its own set of secrets, each demanding fresh databases on demand, and all under the watchful eyes of policy restrictions