#Databases

Articles about Databases — exploring patterns, best practices, and real-world implementations in production systems.

14 posts tagged with databases. ← All posts

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Pratik Dhanave · ·6 min read

MCP: Connecting Claude Code to Your Tools

The Model Context Protocol lets Claude Code reach beyond your codebase — into your databases, issue trackers, docs, and services — through a standard, pluggable interface.

The Model Context Protocol lets Claude Code reach beyond the codebase into databases, trackers, docs, and services through a standard interface — what MCP is, how to connect servers, and treating each server as a least-privilege trust decision.

Pratik Dhanave · ·14 min read

Databases and Storage

Choosing and scaling the data layer without cargo-culting: how to pick relational versus NoSQL by access pattern, why every index is a tax on writes, and why your shard key is the highest-stakes decision you will make.

Choosing and scaling the data layer: relational vs NoSQL by access pattern, indexing (B-tree/hash/LSM), normalization vs denormalization, replication, partitioning/sharding and the shard-key decision, and the distributed-transaction trade-off.

Pratik Dhanave · ·12 min read

Insecure Output Handling and Excessive Agency

Two tightly-linked OWASP LLM risks that turn a clever prompt injection into real-world damage — and the Python patterns that shrink the blast radius: treat model output as untrusted input, and give agents the least agency they can get away with.

Two OWASP risks that turn an injection into damage: insecure output handling (model output is untrusted input — never eval/shell/SQL it unescaped) and excessive agency (least-privilege tools, allow-lists, human approval for irreversible actions, audit logs).

Pratik Dhanave · ·7 min read

Reliable Delivery: The Outbox, CDC, and Reconciliation

Two systems will drift. The transactional outbox stops you losing events; reconciliation is how you find the truth when they disagree anyway.

You can't atomically update your database and publish a message. The transactional outbox (or CDC) stops you losing events; reconciliation is how you find and classify the breaks when two systems drift anyway.

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.