One-off: Hybrid Search
Presenter: Specialist (DSR)
Date: TBD
SLB × Elastic Workshop Program
Explore hybrid search — BM25 plus vector similarity — in Elasticsearch.
These labs run on Observability Serverless — a fully managed project so you can practice without cluster operations.
The same capabilities you explore here — ES|QL, Streams, AI Assistant, Agent Builder, Workflows, and SLOs — are available on Elastic Cloud Hosted (ECH) and self-managed deployments.
Serverless mainly saves operational toil (sizing, ILM, Fleet, upgrades). Your observability skills transfer directly.
Use → to see why each feature matters for SLB.
Keyword precision plus semantic recall
Exact-match search misses reworded errors; vector-only search misses ticket IDs and hostnames.
Combine BM25 keyword scoring with semantic similarity — find "connection reset" and paraphrased variants together.
One query language for logs, metrics, and traces
Different syntax per signal — PromQL for metrics, LogQL for logs, trace UI only — context switching slows incidents.
ES|QL pipes data through filters, stats, and joins across observability datasets in Logs Explorer and Dev Tools.
Natural language over your live telemetry
Every investigator rebuilds the same ES|QL, scrolls dashboards, and writes runbook prose from scratch.
Ask questions in plain language — get ES|QL, summaries, and correlated logs/traces grounded in your project data.
Your lab uses Elastic Observability Serverless for a zero-ops learning environment.
The steps and features are the same on ECH and on-prem — follow the assignment panel when Kibana opens.
Instruqt track: slb-one-offs