Saurabh Dashora @ProgressiveCod2
Writing the the System Design Codex Newsletter • I simplify software design with concepts and case studies newsletter.systemdesigncodex.com Join 8700+ readers → Joined January 2019-
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How does a Rate Limiter work? The basic premise of a rate limiter is quite simple. On a high level, you count the number of requests sent by a particular user, an IP address, or even a geographic location. If the count exceeds the allowable limit, you disallow the request.…
Wonderful explanation of rate limiting
Wonderful explanation of rate limiting
User: We want a simple user interface that can do whatever we want. Developer: Sure, why not? Here you go...😂
Building services are pretty common in modern application development. I try to follow some basic rules while creating a service: [1] The service should own both the reads and writes for their owned data [2] Services should avoid duplicating code and features. Use shared…
Concurrency & Parallelism are two terms that always create some confusion. Here's how I try to understand them: 👉 Concurrency means more than one task can appear to make progress over a unit of time. The key term over here is "APPEAR". Concurrency gives the illusion that…
Very interesting
On point💯⚡
In software development, "This is just a temporary fix" equals Let's keep the change for a few days that turn into weeks but then, those weeks turn into months and years until the piece of code becomes "DO NO TOUCH THIS AT ANY COST"😅
If your application works, it can make money. But it can continue making money only if it works reliably. 9 strategies to improve the reliability of your applications: [1] Redundancy and Failover [2] Monitoring and Alerting [3] Backups [4] Load Balancing [5] Auto Scaling…
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@ProgressiveCod2 Looking forward to learning from you. Thanks, brother! 👊
@ProgressiveCod2 Rate limiters - the bouncers of apis.
@ProgressiveCod2 what's the -2 lines per hour on the other side look like lol
@ProgressiveCod2 Better to have a standing desk for long hours of coding
Software engineering is not a zero-sum game. One hour of work is not equal to one hour of productivity. On some days, one hour of work is equivalent to the job of an entire day. On other days, a whole day of work doesn't even worth one hour.
This single book changed forever the way I build systems. Kleppmann mixes theory with real-world examples, so it's not just abstract concepts – it's stuff you can use in your day-to-day work. The book covers a lot: - Transactions - How to scale systems - Keep systems reliable…
@ProgressiveCod2 Refactoring your old ugly code... -2 lines per day
@ProgressiveCod2 The developers with -2 lines per hour are best for refactoring a code and removing technical debt.
Refactor with a Purpose. When you refactor a piece of problematic code you might suddenly see potential refactorings everywhere. That’s the Baader-Meinhof phenomenon in action. Selective attention can be beneficial, of course. Especially if it’s about improvements in ease of…
Why do you need background tasks in .NET? Sometimes, you want to move some processing to the background. This background processing should run outside the normal application flow. Here are a few examples: - Sending an email after completing a sale - Retrying a failed payment…
Every time I hear "Angular is dead”. I smile. Then I go back to building robust, scalable applications with Lisp.
The 3 biggest mistakes in Docker-based application testing: • Neglecting to clean up unused Docker images and containers, leading to resource drain. • Failing to replicate production environment settings accurately in Docker. • Overlooking the importance of Docker…
Don’t confuse working code with clean code. Working code != clean code