Multi-Tenant Sharding: Isolate Customers Across Shards
Sharding your database by customer is the most direct way to achieve true tenant isolation, but it’s also the most complex.
Sharding Articles
50 articles
MySQL Sharding with Vitess: VSchema and VTGate
Vitess's VSchema is the secret sauce that lets MySQL sharding feel like a single database, and VTGate is the unglamorous workhorse that makes it all hap.
Sharding vs Partitioning: Which Data Strategy to Use
Sharding and partitioning are both ways to break up large datasets, but they operate at different levels and solve distinct problems.
Tune Sharding Performance: Reduce Inter-Shard Traffic
Sharding doesn't magically make data independent; it just moves the problem of finding data from a single giant table to a distributed system where find.
PostgreSQL Sharding with Citus: Distribute Tables
Citus doesn't actually shard PostgreSQL tables; it distributes them by replicating shard metadata and then distributing the actual data across multiple .
Sharding in Production: Deploy and Operate Safely
Sharding in production is less about distributing data and more about distributing risk. Let's say you've got a massive PostgreSQL database, and it's st.
ProxySQL Sharding Routing: Rule-Based Query Distribution
ProxySQL doesn't just blindly forward queries; it's a smart traffic cop for your database, and rule-based sharding is how it decides which backend serve.
Query Routing in Sharded Systems: Parse and Dispatch
Query Routing in Sharded Systems: Parse and Dispatch — practical guide covering sharding setup, configuration, and troubleshooting with real-world examp...
Range-Based Sharding: Ordered Partition Design
Range-based sharding, when implemented with ordered partitions, is fundamentally a way to trade off read locality for write complexity.
Reshard Without Downtime: Rebalancing Strategy Guide
Reshard Without Downtime: Rebalancing Strategy Guide — practical guide covering sharding setup, configuration, and troubleshooting with real-world examp...
Redis Cluster Sharding: Hash Slots and Node Distribution
Redis Cluster Sharding: Hash Slots and Node Distribution — practical guide covering sharding setup, configuration, and troubleshooting with real-world e...
Combine Sharding with Replication: HA at Scale
Sharding and replication are often discussed as separate strategies, but their true power is unlocked when they're combined to achieve both scalability .
Online Resharding: Move Data with Zero Downtime
The most surprising truth about online resharding is that it doesn't actually move data in the way you're probably imagining.
Schema Design for Sharding: Avoid Cross-Shard Joins
Choosing the right primary key is the single most important decision you'll make when designing a sharded database, and it's often the reason cross-shar.
Shard Coordination: Metadata and Catalog Management
The most surprising thing about shard coordination is that it's not about coordinating shards at all, but rather about coordinating the metadata that de.
Shard Key Selection: The Most Critical Sharding Decision
Choosing the right shard key is the single most impactful decision you'll make when sharding a database, often determining whether your sharded system s.
Cloud Spanner Splits: Automatic Sharding Internals
Cloud Spanner splits, the automatic sharding mechanism, actually work by dynamically partitioning your data based on estimated row count and data distri.
Test Sharded Applications: Data Distribution and Edge Cases
Sharding doesn't just split your data; it fundamentally changes how your application reasons about consistency and availability.
TiDB Sharding Architecture: Regions and PD Scheduler
TiDB sharding is a complex beast, and understanding how it handles data distribution across nodes is key to performance.
Two-Phase Commit in Sharded Systems: Costs and Alternatives
Two-phase commit 2PC is often treated as a universal solution for distributed transactions, but its inherent performance penalties make it a dangerous d.
Virtual Nodes in Sharding: Flexible Rebalancing
Virtual nodes are the secret sauce that makes sharding flexible, allowing you to rebalance your data without disrupting live traffic.
Zero-Downtime Shard Migration: Live Cutover Strategy
Migrating database shards without downtime is less about a magical trick and more about a carefully orchestrated, multi-stage dance where data is mirror.
Sharding Aggregation Challenges: Cross-Shard GROUP BY
The most surprising thing about sharding aggregations is that the database often has to do more work to aggregate data across shards than it would if th.
Sharding Antipatterns: Pitfalls That Kill Performance
Sharding often fails not because the sharding strategy is inherently bad, but because the application's access patterns are fundamentally at odds with t.
Application-Level Sharding: Route at the App, Not the DB
Application-level sharding breaks the monolithic database by distributing data across multiple independent database instances, each holding a subset of .
Sharding Backup Strategy: Back Up Sharded Databases
Sharding a database means splitting it into smaller, more manageable pieces called shards. This is usually done to improve performance and scalability
Combine Sharding with Caching: Reduce Cross-Shard Reads
Sharding and caching are often treated as separate optimizations, but their true power emerges when they're combined to drastically reduce expensive cro.
Cassandra Partitioning: Token Ring and Shard Design
Cassandra doesn't have partitions in the traditional sense of a relational database; instead, it uses token ranges on a ring to distribute data.
CockroachDB Range Sharding: Automatic Distribution
CockroachDB Range Sharding: Automatic Distribution — practical guide covering sharding setup, configuration, and troubleshooting with real-world examples.
Consistent Hashing for Sharding: Minimize Data Movement
Consistent hashing is a surprisingly effective way to distribute data across a cluster without needing to rebalance everything when nodes join or leave.
Cross-Shard Queries: Scatter-Gather and Fan-Out Patterns
Cross-shard queries are a necessary evil when your data is distributed across multiple database shards, and you need to retrieve information that spans .
Shard Data Migration: Move Data Without Downtime
Moving data between shards without taking your application offline feels like magic, but it's a core capability in many distributed databases.
Directory-Based Sharding: Lookup Table for Shard Routing
Directory-Based Sharding: Lookup Table for Shard Routing — practical guide covering sharding setup, configuration, and troubleshooting with real-world e...
Distributed Transactions Across Shards: 2PC and Sagas
Distributed transactions are a fundamental challenge when your data is spread across multiple independent services or databases shards.
DynamoDB Partitions: Shard Key Design and Hot Partition Fix
DynamoDB partitions don't grow; you have to actively manage their size and distribution by carefully choosing your shard key.
Elasticsearch Sharding: Primary, Replica, and Rebalancing
Elasticsearch shards are the fundamental building blocks of how your data is distributed and scaled across your cluster.
Enterprise Sharding Strategy: Architect for Petabyte Scale
The most surprising thing about petabyte-scale sharding is that the biggest bottleneck isn't the database itself, but the network connecting your applic.
Sharding Failure Scenarios: Partial Outage and Recovery
A shard failure in a distributed database doesn't just take down a piece of data; it can cascade and halt the entire application if not handled with ext.
Database Sharding Fundamentals: Split Data Horizontally
Sharding your database isn't just about splitting data; it's about giving each shard its own independent destiny, allowing them to operate and scale as .
Geographic Sharding: Route Data by Region
Geographic sharding is not about storing data closer to users to speed up reads; it's primarily about compliance and data sovereignty, with performance .
Hash-Based Sharding: Even Distribution Across Nodes
Hash-based sharding, surprisingly, often doesn't achieve perfectly even distribution across nodes by default, and that's precisely where its power lies.
Horizontal vs Vertical Sharding: Choose Your Strategy
Sharding isn't just about splitting data; it's about fundamentally changing how your database interacts with its workload.
Avoid Sharding Hotspots: Balanced Shard Key Design
Avoid Sharding Hotspots: Balanced Shard Key Design — practical guide covering sharding setup, configuration, and troubleshooting with real-world examples.
Sharding Index Strategy: Local and Global Indexes
Sharding an index strategy can feel like you're building a distributed database where every shard is its own world, but they all need to agree on how to.
Joins Across Shards: Co-location and Denormalization
Joins across shards are often a performance bottleneck, but the real surprise is how frequently they're completely avoidable with a bit of upfront desig.
Load Test Sharded Databases: Validate Distribution
Sharded databases don't just distribute your data; they distribute your problems, and load testing is how you find out where they're hiding.
Sharding in Microservices: Data Ownership and Isolation
Sharding in Microservices: Data Ownership and Isolation — practical guide covering sharding setup, configuration, and troubleshooting with real-world ex...
Sharding Middleware Proxy: Route Queries Transparently
The most surprising thing about sharding middleware is that it often hides the complexity of distributed data, making it harder to understand what's act.
MongoDB Sharding: Config Servers, Routers, Shard Keys
The most surprising thing about MongoDB sharding is that it doesn't actually do the sharding itself; it just orchestrates it.
Monitor Sharded Databases: Metrics and Alerting
Sharded databases are a beast, and monitoring them is like trying to keep an eye on a hundred tiny, interconnected machines simultaneously.