Plan smarter, collaborate better, and ship faster with a set of modern dev services. Agenda: Understand how Azure DevOps Services can help your teams to share code, track work, and ship software Azure Pipelines. Understand how Azure DevOps can continuously build, test, and deploy to any platform and cloud Azure Boards Plan, track, and
Post Deployment
The Post Deployment AI Journey
Implement an early end-to-end integration to iterate faster by using small and valuable increments. Create an entire deployment process, continuous monitoring, and management strategy. Agenda: Evaluate the best approach to train and serve models to production – batch / real-time. Adopt ML System Architecture and Writing Production-Ready Codes. Model Deployment, Monitoring, Maintenance Measures –
Post Deployment
Bundled Managed Services
Learn best practices and patterns to integrate your IT compliance and policy requirements Build solutions that maintain your requirements while helping improve your IT solutions
Post Deployment
Infrastructure as a Code
Build objects through code with Azure. Manage changes to objects through declarative frameworks like Azure Resource Manager (ARM) templates, Terraform, Ansible, Chef, or Puppet Learn the concept of infrastructure as code Understand how to combine frameworks with a DevOps repository Gain control of your Azure infrastructure
Post Deployment
Environment Monitoring
Examine usage and performance health of your Power BI system to ensure continued growth and success at scale
Post Deployment
Evaluate Your Power Apps for Best Practices
Build and modernize apps using a low code platform Learn best practices for using Power Apps Evaluate existing Power Apps Create a strategy to streamline your cloud application delivery
Post Deployment
Azure Environment monitoring
Monitor your environment applications and network performance Adopt best practices for Azure Apps Service Become aware of the number of instances that could disturb your applications at any given time
Post Deployment
The Post Deployment Journey
Build, test, and deploy in Azure Operationalize your Data pipelines using Azure DevOps Monitor and maintain your Data Estates On-board new analytical workload