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# Genspark protects live agent sessions with Azure Cosmos DB Global Secondary Indexes

**[DevBlogs](https://daily.dev/sources/devblogs)** · 5 min read · 1 upvotes · 0 comments

## Summary

Genspark, an AI agent workspace, describes how it used Azure Cosmos DB Global Secondary Indexes (GSI) to isolate read-heavy internal background workloads from live agent session traffic. Instead of building a separate replica or ETL pipeline, Genspark routed selected background reads to a GSI that Cosmos DB automatically keeps in sync via change feed. The team evaluated which processes could tolerate eventual consistency versus those needing the freshest state, then migrated the tolerant workloads to the GSI, achieving workload isolation without operating additional infrastructure.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://devblogs.microsoft.com/cosmosdb/genspark-protects-live-agent-sessions-with-azure-cosmos-db-global-secondary-indexes>

## Questions this post answers

### What are Azure Cosmos DB Global Secondary Indexes used for?

Global Secondary Indexes (GSI) in Azure Cosmos DB provide an additional read path that stays automatically synchronized with a source container via change feed, without requiring a separate replication pipeline. They let teams route read-heavy background workloads away from the capacity serving live reads and writes, while the source container continues to serve the freshest state for latency-sensitive operations.

_Developers isolating read-heavy workloads from live traffic can track Cosmos DB architecture patterns like this on daily.dev._

### How consistent is data in an Azure Cosmos DB global secondary index compared to the source container?

A global secondary index in Azure Cosmos DB is eventually consistent with its source container rather than strongly consistent. Teams must evaluate each workload against the question of what breaks if the data is slightly behind, routing only processes that can tolerate a lagging copy to the index while keeping latency-sensitive reads on the source container.

_Anyone weighing consistency tradeoffs for a database migration can follow related discussions on daily.dev._

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#architecture](https://daily.dev/tags/architecture), [#database](https://daily.dev/tags/database), [#azure-cosmos-db](https://daily.dev/tags/azure-cosmos-db)

[View this post on daily.dev](https://daily.dev/posts/genspark-protects-live-agent-sessions-with-azure-cosmos-db-global-secondary-indexes-nfej2kxit)

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