Service management & command center
ITIL-aligned incident, problem, change, request, release, major-incident, SLA/SLO, escalation, service-review, and continual-improvement practices.
Lifecycle support services
Operate with confidence.
Improve continuously.
Databricks, Lakeflow DataOps, MLOps/LLMOps, AgentOps, Lakebase and applications, microservices, APIs, SAP and Tableau platforms, SRE, OpenTelemetry, 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 + ML, application, API, and microservices 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
Accounts, workspaces, metastores, federation, entitlements, cross-engine ABAC and policy controls, SQL warehouses, serverless, networking, secrets, audit logs, compliance-profile settings, budgets, and promotion across AWS and Azure.
Lakeflow DataOps & analytics
Connect, Jobs, and pipeline monitoring; CDC, batch and streaming, quality expectations, event logs, Unity Catalog, Databricks SQL, AI/BI, SAP BusinessObjects BI 2025, SAP Analytics Cloud, and Tableau.
MLOps, LLMOps & AgentOps
MLflow tracking, evaluation and tracing; feature pipelines, Models in Unity Catalog, Model Serving, Agent Bricks, Genie One, AI Search, Unity Gateway, governed tools, guardrails, drift, latency, quality, rollback, and human review.
Application & Lakebase operations
Databricks Apps, Lakebase-backed services, OAuth, dependencies, configuration, CI/CD, telemetry, audit events, performance, cost, release, backup, recovery, and user-experience triage.
Microservices & API operations
EKS, ECS, Fargate, Lambda, AKS, Container Apps, Functions, REST, gRPC, events, MCP and A2A integrations; gateways, service mesh, mTLS, autoscaling, resilience, OpenTelemetry, patching, vulnerability response, and L2/L3 support.
Knowledge & service transition
L1 service desk, L2 platform support, L3 engineering, dependency inventories, runbooks, recovery procedures, standard operating procedures, knowledge bases, and administrator enablement.
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.