AzureAzure resilience strategies became more sophisticated.Multi-region designs were widely adopted.Disaster recovery readiness improved. .NET.NET services emphasized reliability under scale.Async patterns continued maturing.Testing automation expanded further. ML.NETML.NET integration into APIs became
Category: General
Modern Cloud & Dev Review – November 2024
AzureAzure optimization efforts intensified toward year-end.Cost efficiency became a strategic focus.Resource utilization reviews gained attention. .NET.NET teams prepared for future framework evolution.Performance reviews guided refactoring decisions.Code quality initiatives strengthened. ML.NETML.NET
Modern Cloud & Dev Review – October 2024
AzureAzure security enhancements emphasized proactive threat detection.Zero-trust designs became more common.Incident prevention improved system stability. .NET.NET applications adopted stronger resilience patterns.Graceful degradation improved reliability.Observability tooling reached higher maturity. ML.NETML.NET experimentation
Modern Cloud & Dev Review – August 2024
AzureAzure security posture management continued improving.Compliance automation simplified governance.Edge and distributed computing gained interest. .NET.NET tooling improvements reduced developer friction.API versioning strategies stabilized further.Deployment pipelines became more resilient. ML.NETML.NET focused
Modern Cloud & Dev Review – July 2024
AzureAzure sustainability and efficiency initiatives gained momentum.Resource optimization became a design principle.Infrastructure automation continued expanding. .NET.NET developers focused on benchmarking and optimization.Minimal APIs remained popular.Service reliability improvements were evident. ML.NETML.NET
Modern Cloud & Dev Review – June 2024
AzureAzure mid-year assessments emphasized operational excellence.Automation reduced infrastructure overhead.Monitoring improvements enhanced visibility. .NET.NET applications handled scale more efficiently.Tracing and logging practices matured.Cross-platform stability improved. ML.NETML.NET production usage increased steadily.Model governance
