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The technical arena comes replete with many industry standards and best practices. These range from modeling languages to device and service interfaces to support things like platform independence and service oriented architectures. Everything not supported by industry standards is by default a proprietary standard.

Early on in the analysis phase the standards to be utilized must be defined. Frequently the standards are dictated by existing IT architecture and platform standards. As technology changes, architectures must also evolve or be reworked to accommodate newly adopted technology.

Many IT operational metrics are driven by ITIL related processes and service level agreements. Implementation metrics may be put in place to gauge compliance with standards and best practices. Many serve as surrogate measures of complexity and risk.

As with business oriented metrics, through analysis should support specific performance objectives and care must be taken in choosing what to measure. The act of measurement can lead to optimization of performance related metrics to the detriment of other aspects important to long term success.

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• Agile, SDLC Processes & Methodologies
• Standards & Metrics
• Architecture & Infrastructure
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• Disaster recovery