Architecture Notes @arcnotes
engineering notes about software architecture from your favourite corps by engineers for engineers. architecturenotes.co/subscribe/ ☁️ Joined May 2022-
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Arc Notes Weekly #71: Codex is out now! 🌟 1. Counting in the Billions 2. Passkeys failed? 3. Corporate Open Source Over? Today 59,238 subscribers receive it today! Check it out. architecturenotes.co/email/ebb13fe0…
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It is often surprising how little is known about how databases operate at a surface level, considering they store almost all of the states in our applications. Things You Should Know About Databases.
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9K Followers 183 Following distributed systems, data, and writing @arcnotes. engineering @apple. previously @gyroscope_app @1passwordArc Notes Weekly #71: Codex is out now! 🌟 1. Counting in the Billions 2. Passkeys failed? 3. Corporate Open Source Over? Today 59,238 subscribers receive it today! Check it out. architecturenotes.co/email/ebb13fe0…
Someone is plagiarizing your work online. Does the company (large company) they work for have any obligation correct behaviour with said employee?
It is often surprising how little is known about how databases operate at a surface level, considering they store almost all of the states in our applications. Things You Should Know About Databases.
If want to learn more about encryption we have a more in depth post coming up soon at architecturenotes.co join us and don’t miss out.
Coupled with that you would ideally prefer a good distribution within that cardinality. Running this as an experiment with accurate data is easy enough to do with a few lines of code.
The same node houses entries that have the same shard key. A group of data that shares the same shard key is referred to as a logical shard. Multiple logical shards are included in a database node, also known as a physical shard.
Shard Key is a piece of the primary key that tells how the data should be distributed. With a shard key, you can quickly find and change data by routing operations to the correct database.
Data is divided into chunks depending on the ranges of a certain value in range-based sharding. This requires a look up table to see where the data should be stored. Maintaining the consistency of such a table and obviously picking the ranges here are critical.
Now that we have discussed the potential server architectures, let us talk about data layout. You can see two types of strategies at play below.
Often when you start to look into scaling your data system either need to scale for reads or writes. Replication is one way when you need extra read capacity.
Sharding is an example of horizontal scaling, while vertical scaling is an example of just getting larger and larger machines to support the new workload.
Engineers often get caught up in doing things the most involved way, but keeping things simple early on makes challenging things later on as your application evolves much easier. So if your problem goes away by getting machines with more resources, 9/10, that's the correct answer
When selecting a shard key for this sharding type, it is essential to select one with high cardinality, so the number of possible values for that key is numerous. For example, a key with possible values of North, South, East, and West is of low cardinality since there are only 4.
Your app is getting better. It has more features, more active users, and every day it collects more data. Your database is now causing the rest of your application to slow down.
Code Search is Hard blog.val.town/blog/search-no…
The Design Philosophy of Great Tables posit-dev.github.io/great-tables/b…
@systemdesign42 if you want to become good at system design, then build and scale systems. See how they break solve those problems.
Arc Notes Weekly #70: Boom is out now! 🌟 1. Server <> Client Javascript Communication 2. Making PostgreSQL 20% Faster 3. eBPF Documentary Today 58,503 subscribers receive it today! Check it out.
Some (really) good Redis stuff from Architecture Notes ❤️🔥 - What is Redis - When to use Redis - Redis Architecture(s) - Redis Persistence Models - ...and more! Solid write-up with tons of visuals 👇 architecturenotes.co/redis/
Unveil the PostgreSQL evolution: from a sturdy database to a dynamic data management framework. Explore the transformation at pigsty.io/blog/pg/pg-eat…
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