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Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Lambda functions can be written in the language of your choice, and the service also supports container tools. Simplicity. Data Store.
This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform.
We came up with list of four key questions, then answered and demoed in our recent webinar. Stephan demoed how avodaq internally leverages Dynatrace Synthetic. In the demo, Stephan showed the waterfall view highlighting issues in connectivity, bad HTTP requests or even JavaScript errors.
This release is just the latest addition to advanced observability for cloud-native technologies offered by the Dynatrace Software Intelligence Platform, which provides the fastest and easiest approach to end-to-end monitoring and tracing of web applications on serverless technologies like Azure Functions, Azure App Service, or AWS Lambda.
This release is just the latest addition to advanced observability for cloud-native technologies offered by the Dynatrace Software Intelligence Platform, which provides the fastest and easiest approach to end-to-end monitoring and tracing of web applications on serverless technologies like Azure Functions, Azure App Service, or AWS Lambda.
Developers can simply specify a few sample phrases and the information required to complete a user's task, and Lex builds the deep learning based intent model, guides the conversation, and executes the business logic using AWS Lambda. Developers can build, test, and deploy chatbots directly from the AWS Management Console.
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