1. Observability Strategy & Architecture
Define the end-to-end observability architecture covering infrastructure applications data pipelines APIs manufacturing systems and business workflows.
Build a unified vision and reference architecture using AWS-native services Grafana stack OpenTelemetry AIOps tools and Agentic AI frameworks.
Establish standards for logs metrics traces events and business telemetry at scale.
Develop scalable resilient observability pipelines and storage strategies.
2. Business & Operational Metric Integration
Collaborate with business teams to identify critical business KPIs (e.g. batch cycle times QA processing metrics supply chain SLAs).
Design solutions that tie infrastructure and application performance to business outcomes in real-time dashboards and predictive analytics models.
Implement correlation models between manufacturing systems and IT signals.
3. Solution Delivery & Rollout
Create rollout strategies including phased onboarding maturity models and governance.
Define adoption playbooks SDKs/templates automation scripts and observability-as-code.
Ensure compliance with pharma regulations including GxP validation audit trails and data integrity standards.
4. Stakeholder Collaboration
Partner with engineering manufacturing systems teams application owners compliance security and business leadership.
Conduct workshops PoCs and architecture reviews with diverse technical and non-technical stakeholders.
Evangelize best practices through thought leadership design frameworks and technical advisory.
5. Continuous Improvement
Build feedback loops for maturity assessment and continuous enhancement of observability capabilities.
Identify innovation opportunities to leverage AI/ML and automation.
Monitor emerging standards (e.g. OpenTelemetry roadmap AI governance in regulated industries).
1. Observability Strategy & Architecture Define the end-to-end observability architecture covering infrastructure applications data pipelines APIs manufacturing systems and business workflows. Build a unified vision and reference architecture using AWS-native services Grafana stack OpenTelemetry ...
1. Observability Strategy & Architecture
Define the end-to-end observability architecture covering infrastructure applications data pipelines APIs manufacturing systems and business workflows.
Build a unified vision and reference architecture using AWS-native services Grafana stack OpenTelemetry AIOps tools and Agentic AI frameworks.
Establish standards for logs metrics traces events and business telemetry at scale.
Develop scalable resilient observability pipelines and storage strategies.
2. Business & Operational Metric Integration
Collaborate with business teams to identify critical business KPIs (e.g. batch cycle times QA processing metrics supply chain SLAs).
Design solutions that tie infrastructure and application performance to business outcomes in real-time dashboards and predictive analytics models.
Implement correlation models between manufacturing systems and IT signals.
3. Solution Delivery & Rollout
Create rollout strategies including phased onboarding maturity models and governance.
Define adoption playbooks SDKs/templates automation scripts and observability-as-code.
Ensure compliance with pharma regulations including GxP validation audit trails and data integrity standards.
4. Stakeholder Collaboration
Partner with engineering manufacturing systems teams application owners compliance security and business leadership.
Conduct workshops PoCs and architecture reviews with diverse technical and non-technical stakeholders.
Evangelize best practices through thought leadership design frameworks and technical advisory.
5. Continuous Improvement
Build feedback loops for maturity assessment and continuous enhancement of observability capabilities.
Identify innovation opportunities to leverage AI/ML and automation.
Monitor emerging standards (e.g. OpenTelemetry roadmap AI governance in regulated industries).
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