Service management & command center
ITIL-aligned incident, problem, change, request, and release management with triage, escalation, SLA/SLO reporting, service reviews, and major-incident coordination.
Lifecycle support services
Operate with confidence.
Improve continuously.
Databricks Solutions & Support is a core specialty, combining platform administration, DataOps, MLOps/LLMOps, AgentOps, Databricks Apps operations, SRE practices, observability, DevSecOps, and L1–L3 support.
From transition to optimization
Support designed around service reliability, mission continuity, and measurable improvement.
Innovative BI connects service transition, production operations, platform administration, incident response, engineering escalation, release management, and knowledge transfer in one operating model. Support can cover a defined platform, specialized work package, or integrated BI + Data + AI environment.
Service design is tailored to the customer’s operating hours, criticality, security boundary, service-level objectives, tooling, and governance. We establish escalation paths, runbooks, telemetry, change controls, and performance measures before they are needed during an incident.
Technical support capability
Operate the complete technology lifecycle.
Databricks platform administration
Account, workspace, metastore, identity, entitlement, compute-policy, SQL warehouse, serverless, network, secret, audit-log, cost, and environment administration across AWS and Azure.
Lakeflow DataOps & analytics
Lakeflow Connect, Jobs, and pipeline monitoring; batch, streaming, CDC, data-quality expectations, event logs, Unity Catalog, lineage, Databricks SQL, semantic models, SAP BusinessObjects, and Tableau operations.
MLOps, LLMOps & AgentOps
MLflow lifecycle operations, Model Serving, model and agent evaluation, tracing, prompt and tool versioning, guardrails, drift detection, performance monitoring, rollback, and human review.
Databricks Apps operations
Application deployment, environment configuration, OAuth and resource access, dependency management, CI/CD, telemetry, logs, audit events, cost monitoring, release support, and user-experience triage.
Adoption & knowledge transfer
L1 service desk, L2 platform support, L3 engineering escalation, runbooks, standard operating procedures, knowledge bases, administrator enablement, and service-transition support.
Support operating model
Observe, restore, learn, and improve.
We combine actionable telemetry with disciplined service management so teams can respond quickly and reduce repeat issues.
- 01Transition
Validate inventories, dependencies, support boundaries, access, runbooks, recovery procedures, and acceptance criteria.
- 02Observe
Use metrics, logs, traces, events, data-quality signals, model evaluations, and user-experience indicators to understand service health.
- 03Restore
Triage, contain, communicate, recover, validate, document, and escalate through defined operational procedures.
- 04Improve
Perform problem analysis, automate repeatable work, tune capacity and cost, strengthen controls, and update the knowledge base.
Service outcomes
Technical support connected to mission performance.
Coverage and targets are established for each engagement; no service level or response time is implied until documented in the applicable agreement.
Service reliabilityFaster restorationData qualityControlled changeKnowledge retention
Start a focused conversation
Build a support model for the platform your mission depends on.
Share the environment, service criticality, coverage window, current pain points, tooling, and transition constraints.