This curriculum looks incredibly thorough! What sets this apart from other system design courses is the emphasis on production failures - intentionally breaking things to see how systems behave under stress. The Datadog/Elasticsearch/Cloudflare reference is spot-on because those platforms solved exactly these problems at scale. The requirement for 16GB RAM and the warning about 8GB minimum shows you're serious about realistic dev environments. One question: will you cover the observability paradox - how do you monitor a system that's supposed to be doing the monitering? That's always the trickiest part when building logging platforms. Looking forward to following along!
The challenge is: Who monitors the monitor? If your primary logging system fails, you lose the crucial visibility needed to fix it—a real catch-22. To beat this, the monitoring system must constantly monitor itself, and you need a separate, simple "meta-monitor" that only checks if the main system is alive. This simple, independent lifeline ensures you still get a failure alert even when your main observability platform totally blacks out.
Each lesson has Article/lesson notes, Technical Diagrams for concept covered, Implementation guide and source code. To access this you should opt for paid subscription. Respective source code is accessible from github repo.
This curriculum looks incredibly thorough! What sets this apart from other system design courses is the emphasis on production failures - intentionally breaking things to see how systems behave under stress. The Datadog/Elasticsearch/Cloudflare reference is spot-on because those platforms solved exactly these problems at scale. The requirement for 16GB RAM and the warning about 8GB minimum shows you're serious about realistic dev environments. One question: will you cover the observability paradox - how do you monitor a system that's supposed to be doing the monitering? That's always the trickiest part when building logging platforms. Looking forward to following along!
Much Appreciate
The challenge is: Who monitors the monitor? If your primary logging system fails, you lose the crucial visibility needed to fix it—a real catch-22. To beat this, the monitoring system must constantly monitor itself, and you need a separate, simple "meta-monitor" that only checks if the main system is alive. This simple, independent lifeline ensures you still get a failure alert even when your main observability platform totally blacks out.
Don't undertsand how to follow the course? Do we need to checkout code from Git repo?
Each lesson has Article/lesson notes, Technical Diagrams for concept covered, Implementation guide and source code. To access this you should opt for paid subscription. Respective source code is accessible from github repo.