SME Track: Architects
Presenter: Specialist (DSR)
Date: 2026-09-23
SLB × Elastic Workshop Program
Governance — Streams standards, schema conventions, and AI agent policies across deployments.
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.
Managed routing and processing for telemetry
Custom ingest pipelines, index templates, and rollover policies per team — fragile, hard to govern, and different on every cluster.
Streams define how logs, metrics, and traces are routed, processed, and retained — on Serverless, ECH, and self-managed, with a unified UI.
Secure multi-team automation on any deployment
Shared credentials, over-privileged scripts, and no clear ownership per integration.
Scoped API keys and role patterns — project keys on Serverless, deployment keys on ECH, native users on self-managed.
Repeatable AI workflows with guardrails
Ad-hoc ChatGPT sessions with no access to SLB data, no audit trail, and inconsistent answers per engineer.
Build agents that use observability context, tools, and retrieval — tuned prompts your team can trust and share.
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-sme-architects