Platform Health Checks & Optimization

Fixed-scope platform audits with actionable recommendations. Performance tuning, cost optimization, and architecture review.

DatabricksSpark UIAzure MonitorAWS CloudWatchCost Management ToolsTerraform

Know Exactly Where Your Platform Stands

A platform health check is a fixed-scope engagement designed to give you a clear, honest assessment of your data platform’s current state — and a prioritized plan to improve it.

This is our most accessible offering. No long-term commitment required. You get a written report with specific, actionable recommendations ranked by impact and effort.

What We Assess

Performance — Spark job profiling, cluster utilization, query optimization opportunities, and storage layout efficiency. We look at Spark UI, cluster metrics, and job histories to find the bottlenecks.

Cost — Cloud spend analysis, right-sizing recommendations for compute and storage, reserved capacity opportunities, and idle resource identification. Most platforms have 20-40% in optimization potential.

Architecture — Review against proven patterns: medallion layer design, data flow, ingestion patterns, transformation strategy, and serving layer. We compare what you have to what we’d build for your use case.

Reliability — Pipeline failure rates, SLA compliance, monitoring coverage, alerting gaps, and disaster recovery readiness.

Security — Access control review, network configuration, secret management, and compliance gap analysis.

Deliverables

You receive a written report covering each area with:

  • Current state assessment with specific findings
  • Prioritized recommendations ranked by impact and effort
  • Architecture diagrams showing proposed improvements
  • A 90-day action plan your team can execute

How It Works

  1. Kickoff call — We align on scope, access, and timeline (typically 1-2 weeks)
  2. Assessment — We review your platform with read-only access
  3. Report delivery — Written findings with a walkthrough call
  4. Optional follow-up — We can help implement the recommendations

Capabilities

  • Databricks workspace and cluster optimization
  • Spark job performance profiling and tuning
  • Cloud cost analysis and right-sizing recommendations
  • Architecture review against best practices
  • Data pipeline reliability and SLA assessment
  • Security posture evaluation
  • Technical debt inventory and prioritization
  • Migration readiness assessment

Ready to Build Your Data Platform?

Let's discuss how proven architecture and engineering can solve your specific challenges.

Schedule a Consultation