9 min read
Who Gets Told? Owners, Error Codes and Runbooks in Fabric
A table contract is half the job: assigning owners per layer, collapsing load outcomes to three, and mapping Fabric pipeline failures to runbooks.
Operations
14 articles
1 min read
Capacity Planning for AI: Scaling AI Infrastructure
Strategic capacity planning ensures AI systems can scale efficiently within budget.
1 min read
Incident Response for AI Systems: Handling AI Failures
Effective incident response minimizes AI system impact and enables quick recovery.
1 min read
AI Monitoring Dashboards: Visualizing AI System Health
Comprehensive monitoring dashboards enable proactive AI operations management.
1 min read
LLMOps: Operationalizing Large Language Models
LLMOps ensures reliable, cost-effective LLM operations at scale.
1 min read
LLMOps Emergence: Operating Large Language Models in Production
LLMOps is essential for reliable LLM applications. Start with prompt management and evaluation, then add observability and cost tracking as you scale.
1 min read
MLOps Maturity: Productionizing Machine Learning
MLOps is essential for sustainable ML in production. Start with experiment tracking and gradually add components as your ML practice matures.
1 min read
DataOps Maturity: Building Reliable Data Operations
DataOps maturity directly impacts data reliability and team productivity. Invest in these practices to build a robust data operation.
8 min read
Azure AI Search Index Operations: Schema Changes, Rebuilds and Aliases
Which Azure AI Search index changes work in place, which force a rebuild, and how to swap versioned indexes, load documents and check health safely.
1 min read
Fabric Capacity Management: Right-Sizing Your Platform
Right-sizing Fabric capacity is a finance-and-engineering problem: choose a capacity SKU that matches peak loading patterns, instrument CU consumption, and…
1 min read
Operational Risk in AI Systems: Keeping the Lights On
Operational resilience is the unsung prerequisite for AI adoption. Practical SRE for AI means instrumenting model performance, bounding cost exposure, and…
1 min read
Fabric Monitoring: Observability for Your Data Platform
One of my first questions when evaluating any data platform for enterprise use is "how do I see what's actually running?" — and in the early Fabric…
1 min read
Configuring Azure Service Health Alerts
Service Health tracks three types of events: Service Issues : Active problems affecting Azure services Planned Maintenance : Upcoming maintenance that might…
1 min read
Monitoring Azure Resource Health for Proactive Operations
Resource Health reports four possible states: Available : Resource is healthy and operating normally Unavailable : Resource is not healthy due to Azure or…