Mission Critical Proof of Concept with HPE Superdome X and SQL Server
Prerequisites
Are you facing any of the following issues:
• Peak performance issues
• High availability for mission critical applications
• Constrained virtualization
• Data science performance - integrated R
• Highly transactional, mission critical systems -- Query Store -- improving query tuning
The latest versions of SQL Server now offer never before seen enhancements to query tuning, scalability, end user reporting and predictive analytics.
• Rack space and power capacity to support the new hardware• POC hardware needs to be installed and configured with appropriate network and storage (lead time for POC hardware request is expected to be 3 weeks)• Workload traces which can be replayed. We need workload traces of the current environment. We need to understand to the specific goals they are seeking to achieve (e.g. long running job, business pain points, normalized database reporting, memory pressure in reporting, high transaction processing count).• Development environment deployed and ready for development o Tools installed: SQL Server Management Studio and Visual Studio• Access to source code repository location for solution artifacts• Access to infrastructure and applications in scope• Network account with access to SQL Server and other applicable platforms• Workspace identified for Pragmatic Works consultant when onsite• VPN access to network or equivalent to support remote development
To learn more about how Pragmatic Works and HPE can help you bring your SQL Server performance to the next level, contact [email protected].
• Architectural Design Session for
POC
• Determine workload(s) to analyze
• Capture the workload
• Establish existing baselines
• Finalize POC implementation Plan
for next 2 weeks
• Configure Server
Week 1: Review Solution. Finalize Scope
Move your mission critical systems to top of the line HPE Superdome X hardware with SQL Server Enterprise for superior performance and scale.
Week 2: Move Solution to New Platform/Restore Database
• Move data to SDX
• Working through discovery
implementation
• Baseline, compare, tune,
implement best practices
Week 3: Documenting Findings and Review of Findings
• Document findings and results
• Next Steps document
• Review of findings and next steps
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