Data Partitioning Strategies for Scale
Master hash, range, and list partitioning strategies. Learn to choose partition keys, avoid hot partitions, and scale your data systems.
·7 min read · #data-engineering#partitioning#performance
#databases
23 posts · page 1 of 1
DSA in Real Systems: From B-Trees to Bloom Filters
How real-world systems use data structures and algorithms — B-trees in databases, skip lists in Redis, inverted indexes in search, Dijkstra in routing, DAGs in Git, consistent hashing, and Bloom filters.
·11 min read · #dsa#system-design#databases
Database Replication: Leaders, Followers, and Consistency
Master database replication patterns — single-leader, multi-leader, and leaderless. Learn about replication lag, conflict resolution, quorum reads, and how Slack handles replication at scale.
·10 min read · #system-design#databases#replication
Database Transactions and ACID: Isolation Levels Demystified
Deep dive into ACID properties, isolation levels, and distributed transactions. Understand dirty reads, phantom reads, two-phase commit, the saga pattern, and how Stripe handles payment consistency.
·11 min read · #system-design#databases#transactions
SQL vs NoSQL Databases: A First-Principles Decision Framework
Compare relational and non-relational databases from first principles. Learn ACID properties, NoSQL types, polyglot persistence, and when to pick each — with real migration stories from Uber and Netflix.
·10 min read · #system-design#databases#sql
Database Indexing Strategies: A Deep Dive
Deep dive into database indexing — B-trees, hash indexes, composite indexes, covering indexes, partial indexes, and when each strategy wins or hurts performance.
·6 min read · #system-design#databases#intermediate
System Design: Build a Distributed Key-Value Store
Design a distributed key-value store like DynamoDB or Redis Cluster. Covers partitioning, replication, consistency models, conflict resolution, and failure handling.
·5 min read · #system-design#databases#advanced
AWS RDS vs Aurora: Managed Database Comparison
Compare AWS RDS and Aurora for MySQL and PostgreSQL workloads. Learn architecture differences, performance, pricing, and when to choose each service.
·8 min read · #aws#rds#aurora
Integration Testing: Test Real Dependencies, Not Mocks
Learn how to write effective integration tests that verify real database queries, API calls, and service interactions using testcontainers and proper test infrastructure.
·8 min read · #testing#integration-testing#testcontainers
Connection Pooling Patterns in System Design
Learn how connection pooling reduces overhead, compare pool sizing strategies, and configure pools for databases, HTTP, and gRPC in production systems.
·8 min read · #system-design#connection-pooling#databases
Database Migration Strategies
A practical guide to evolving production databases safely: expand and contract, online schema changes, dual writes, backfills, and the trade-offs behind each strategy.
·5 min read · #backend#databases#migrations
AWS DynamoDB Data Modeling Patterns
Practical DynamoDB modeling patterns including single-table design, composite keys, GSIs, and access-pattern-first thinking that keeps queries cheap at scale.
·5 min read · #aws#dynamodb#nosql
AWS RDS vs Aurora vs DynamoDB: Choosing Your Database
Trade-offs between RDS, Aurora, and DynamoDB across cost, scaling, latency, and operational overhead, with a concrete decision framework.
·4 min read · #aws#rds#aurora
Kubernetes Stateful vs Stateless Workloads
Understand when to use Deployments vs StatefulSets, what stable identity buys you, and how to operate stateful workloads safely on Kubernetes.
·4 min read · #kubernetes#statefulset#deployment
SQL Joins Deep Dive: Inner, Outer, Cross, and Self
A thorough tour of SQL joins with diagrams, sample queries, and the gotchas that bite real systems: NULLs, duplicates, and join order.
·4 min read · #sql#joins#postgres
SQL NULL Handling Best Practices
Learn how NULL behaves in SQL, why three-valued logic trips up queries, and the patterns that keep your data consistent and your queries correct.
·4 min read · #sql#null#databases
SQL Stored Procedures vs Functions: Choosing Wisely
When to use stored procedures, when to use functions, and how transaction control, return values, and side effects differ across major databases.
·4 min read · #sql#stored-procedures#functions
CAP Theorem in Practice: What It Actually Means for Your System
A pragmatic look at the CAP theorem: what consistency and availability mean for real workloads, and how PACELC describes the trade-offs better.
·5 min read · #system-design#cap-theorem#distributed-systems
Database Sharding Explained: Keys, Strategies, and Trade-offs
A practical introduction to sharding: range, hash, directory, and geo-based partitioning. Learn how to pick a shard key, handle hot shards, and plan resharding without downtime.
·6 min read · #system-design#databases#scalability
MongoDB Basics for Developers Coming From SQL
A practical introduction to MongoDB for developers familiar with relational databases: documents, collections, queries, indexes, and when to pick it over SQL.
·5 min read · #mongodb#databases#intermediate
FastAPI + SQLAlchemy: Your First Database-Backed API
A practical guide to FastAPI with SQLAlchemy 2.0 — typed models with Mapped and mapped_column, sessionmaker, get_db dependency, CRUD endpoints, and where Alembic fits.
·9 min read · #fastapi#python#intermediate
Postgres vs MySQL vs SQLite: Choosing a Database
Where each database shines, where each frustrates, the dialect differences that bite when you port code (LIMIT vs TOP, autoincrement, JSON, full-text), and the hosting concerns that decide for you.
·11 min read · #sql#beginners#databases
What Is SQL? The Language of Data Explained
A clear, no-hype introduction to SQL — what relational databases are, why declarative querying matters, the main dialects, and when SQL beats spreadsheets or NoSQL.
·9 min read · #sql#beginners#databases