Apr 6 · 8 min read · In the world of distributed systems, scalability, availability, and consistency are paramount. For years, the CAP theorem provided a foundational understanding of the trade-offs involved. However, as
Join discussion
Mar 8 · 8 min read · In the realm of distributed systems, the CAP Theorem is a fundamental principle that every system designer must understand. It states that a distributed data store cannot simultaneously guarantee Cons
Join discussion
Oct 6, 2025 · 4 min read · The CAP theorem, also known as Brewer's theorem, is a fundamental principle for distributed data stores. It states that it's impossible for a distributed system to simultaneously provide more than two out of the following three guarantees: Consistenc...
Join discussionSep 18, 2025 · 24 min read · When building large-scale distributed systems, engineers often make trade-offs between different system properties. Four of the most important metrics in design discussions are latency, throughput, availability, and consistency. Alongside these, the ...
Join discussion
Sep 14, 2025 · 3 min read · Let's understand it easily. 😊 First, let's get one thing clear: every database stores data permanently and uses disk space for that, but most databases provide replicas (live backup) for data protection, and these replicas can be on the same machi...
Join discussionAug 1, 2025 · 3 min read · The CAP Theorem is an observation of a distributed system. It states that a distributed system can only guarantee 2 out of 3 properties: Consistency, Availability and Partition Tolerance. CAP Consistency: Every read gets the latest write, or an erro...
Join discussionMay 21, 2025 · 4 min read · The world of data management is evolving rapidly, with SQL and NoSQL databases at the heart of how modern applications store and process information. After a recent lecture by Ankita Tripathi, I gained deeper insights into their differences, real-wor...
Join discussion
May 11, 2025 · 4 min read · I am a software engineer with 6 years of experience in tech—really 12 years in a way if you count data science. My previous work was in public health and reproductive justice. Work where the importance of empathy is quite obvious. When I started soft...
Join discussion