Azure Data Collection Rules: Modern Log Ingestion
Data Collection Rules provide the flexibility and control needed for modern monitoring architectures.
Thoughts on data engineering, cloud architecture, and technology. 2205 articles and counting.
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Data Collection Rules provide the flexibility and control needed for modern monitoring architectures.
Dedicated clusters provide enterprise-grade security and scale for Azure Monitor Logs.
Azure Managed Grafana provides enterprise observability with seamless Azure integration and reduced operational overhead.
Azure Confidential Ledger provides cryptographically verifiable, tamper-proof record keeping for compliance-critical scenarios.
HashiCorp Vault provides enterprise-grade secrets management with dynamic credentials and multi-cloud support.
Category Example Recommended Approach Azure Services Storage, SQL Managed Identity External APIs Third party APIs Key Vault Certificates TLS, Auth Key Vault…
Automated secret rotation ensures credentials remain secure while reducing operational burden.
Certificate-less authentication dramatically simplifies operations while improving security posture.
Keyless Authentication: The Future of Cloud Security
OIDC for GitHub Actions is the modern, secure approach to Azure authentication in CI/CD pipelines.
Instead of client secrets: 1. External identity provider issues a token 2. Token is exchanged for an Azure AD token 3. Application uses Azure AD token to…
Managed identities are the foundation of a zero-secrets architecture in Azure.
A well-planned environment strategy enables teams to move fast while maintaining governance and security.
Understanding solution layering prevents deployment issues and ensures predictable behavior across environments.
Proper ALM ensures Power Platform solutions are reliable, maintainable, and can be safely deployed across environments.
Dataverse integration enables a seamless data platform spanning Power Platform and Azure services.
Power Query Online democratizes data preparation, enabling business users and data professionals to prepare data without code.
Data Flows Gen2 democratize data transformation, enabling both developers and data analysts to build scalable ETL solutions.
Properly optimized Spark pools can process petabytes of data efficiently and cost-effectively.
These optimizations can dramatically improve dedicated SQL pool performance while reducing resource consumption.
Serverless SQL charges based on data processed. Optimization reduces both cost and query time.
Azure Synapse Analytics in 2022 provides a more unified, performant, and feature-rich analytics platform.
When the Power BI smart narrative visual is enough, when a hand-written DAX text measure is safer, and the limitations that decide it before you publish.
How Power BI automatic aggregations train on a DirectQuery dataset's query log, what the preview requires, and when hand-built aggregations still win.