Platform Health Checks & Optimization
Fixed-scope platform audits with actionable recommendations. Performance tuning, cost optimization, and architecture review.
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
- Kickoff call: We align on scope, access, and timeline (typically 1-2 weeks)
- Assessment: We review your platform with read-only access
- Report delivery: Written findings with a walkthrough call
- 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.
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