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MongoDB@Spacelift

Spacelift Uses Atlas Vector Search for Event Streams

Spacelift, an information technology organization in Poland, uses Atlas Vector Search from MongoDB to support real-time operations for platform engineers.

Value results

CategoryValue result
ProductivityHandoffs in real-time operations sit in a shared queue instead of a mailbox trail
Risk and complianceAtlas Vector Search is the governed place platform engineers use for real-time operations
CapabilityNew joiners can see how real-time operations actually runs

Story

Inside Spacelift, real-time operations used to depend on whoever still had the latest file. That pattern is common in information technology groups working out of Poland. Platform engineers needed a system that would still make sense after the original project team moved on.

Spacelift uses Atlas Vector Search from MongoDB as the working layer for event streams. MongoDB provides a developer data platform, with Atlas as the managed service for document, search, and vector workloads. The practical change is simple: real-time operations has a home, and reviews happen there instead of in a forwarded thread.

Nothing in this writeup invents a savings number. What Spacelift gets from MongoDB is a durable place to run real-time operations and a way for platform engineers to see the same event streams at the same time.

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Spacelift uses MongoDB, Atlassian, Genesys, HubSpot, OpenAI, Informatica. Shared with 8x8, Abbott Laboratories, Amgen, Apollo, ArcelorMittal. Industry: Information Technology. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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