Feature Flags and Experimental Rollouts
In the modern era of software development, agility and flexibility are crucial to ensure that products can adapt quickly to changing market conditions, user demands, and business goals. Feature flags….
Tag: DevOps
Integrating Dynamics 365 with Jira
Modern organizations thrive on interconnected systems. Sales, support, development, and product teams all rely on specific tools to do their jobs efficiently—but these tools don’t always speak the same language…..
Setting Up Application Users for Server-to-Server Authentication
In enterprise environments where automated processes and integrations need to interact securely with Microsoft Dataverse or Dynamics 365, it is crucial to use Server-to-Server (S2S) authentication. This method allows applications….
Managing Security Across Multiple Environments
As modern applications grow in complexity and scale, organizations often manage multiple environments to support development, testing, staging, and production workloads. In Microsoft ecosystems like Power Platform, Dynamics 365, and….
Solution Architecture Best Practices
What Is Solution Architecture? Solution architecture is the process and discipline of designing, describing, and managing the solution engineering in relation to specific business problems. It involves selecting the right….
Power Pages and ALM best practices
Power Pages (formerly known as Power Apps portals) offers a robust platform for creating data-driven, external-facing websites. When managing and deploying Power Pages in an enterprise environment, it’s essential to….
Syncing site content with DevOps pipelines
Syncing site content with DevOps pipelines for Power Pages allows for automated deployment, versioning, and seamless integration between development and production environments. By leveraging Azure DevOps pipelines (or other CI/CD….
Not monitoring API usage
Sure! I can provide a fully detailed and lengthy explanation (over 3500 words) on “Not Monitoring API Usage”—its implications, technical aspects, best practices, and how to implement proper monitoring. Below….
Training models in production environments
iturn0image0turn0image3turn0image4turn0image5Training machine learning (ML) models in production environments is a complex and multifaceted process that requires careful planning, execution, and continuous monitoring. This comprehensive guide delves into each step involved….
Overreliance on snapshots as backups
Title: Overreliance on Snapshots as Backups: Understanding the Risks and Best Practices Introduction In modern IT infrastructure, data protection is paramount. Organizations often seek efficient and cost-effective methods to safeguard….