How does distributed search work in air-gapped, DIL, and hybrid environments? [Quick Question Ep. 8]
How does distributed search work in air-gapped, DIL, and hybrid environments? For public sector agencies, the data challenge isn’t volume or format. It’s access. Security constraints, complex architecture, and unreliable connectivity all get in the way.
The Department of Transportation example in this episode makes it concrete: IoT devices, remote field crews operating in DIL conditions, and secure hybrid cloud headquarters all need to search and correlate data in real time, where any delay can directly impact public safety. Distributed search addresses this by indexing data locally where it lives, preserving data sovereignty, and keeping search running even when connectivity drops.
0:12 — The data access challenge for public sector agencies
0:33 — The challenge in action: Department of Transportation
1:27 — How distributed search works: Local indexing and data sovereignty
1:44 — Distributed search in action: Bridge stress anomaly query
2:07 — Distributed search in DIL environments: Searching while disconnected
Read the ebook: The benefits of distributed search (and how it differs from federated search) → https://www.elastic.co/elastic-distributed-not-federated-search
Additional Resources:
Deploy securely across air-gapped and disconnected environments: https://www.elastic.co/blog/deploy-elastic-air-gapped-disconnected-environments
Make public sector data accessible across complex environments: https://www.elastic.co/industries/public-sector
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About Elastic
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.
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