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Amazon Web Services (AWS), offers a wide range of serverless solutions. To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. AWS serverless offerings. Common use cases for AWS serverless services.
Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. What is AWS observability? AWSLambda.
Using environment automation from both AWS and Dynatrace, supported by the AWS Infrastructure Event Management program , Dynatrace University successfully delivered the required environments – these were three times more than the conference the year before. AWS Infrastructure Event Management program. Quite impressive!
AWSLambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. AWS Cognito, for example, is billed as an always up-to-date authentication service that complies with rigorous industry standards. Pay Per Use. Creating a prototype (for example, on Azure ).
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.
Instead of presenting you with a handful of random screenshots from our demo environment I reached out to Robert, a close friend of mine, who leads a development team with the current task to re-architect and re-platform their multi-tenant SaaS-based eCommerce platform. AWS EKS for Integration and Production. NGINX as an API Gateway.
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 AWSLambda.
Popular examples include AWSLambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. Check out our newest Power Demo: Taking Serverless Functions to the Next Level with Automatic and Intelligent Observability. Want to learn more?
In a time when modern microservices are easier to deploy, GCF, like its counterparts AWSLambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Join us for the on-demand Power Demo: Google Cloud Observability for Ops, Apps and Biz Teams.
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 AWSLambda.
If you’ve been looking for a clear explanation of how applications can be developed and deployed to AWS with less configuration as possible, then I’ve prepared just the article for you. This permits you to easily couple any choice of front-end framework with Serverless UI to deploy existing and new applications to AWS stress-free.
AWS Developer Relations on how the shift from Robot Operating System (ROS) 1 to ROS 2 will change the landscape for all robot lovers. OPN205-R Contributing to the AWS Construct Library (repeats) Using and loving the AWS Cloud Development Kit and want to help make it better? Alejandra Olvera-Novack?—?AWS
AWS Developer Relations on how the shift from Robot Operating System (ROS) 1 to ROS 2 will change the landscape for all robot lovers. OPN205-R Contributing to the AWS Construct Library (repeats) Using and loving the AWS Cloud Development Kit and want to help make it better? Alejandra Olvera-Novack?—?AWS
The light show at the re:Play party Another re:Invent has come and gone, and us mere AWS-using mortals are now rapidly trying to sort the wheat from the chaff of a heady harvest of announcements. It’s funny to think that AWSLambda was announced at re:Invent only 3 years ago?—?the skip to the end if you want my take on those.
Note : While this article makes use of Azure Functions as a provider of serverless functions, you can reuse the logic in your preferred provider, such as AWS’ Lambda or Google’s Cloud Functions. Expanding the Demo Web Application. Stripe Objects. Note: When using Stripe’s Node.js
Last week, I wrote a blog about helping the machine learning scientist community select the right deep learning framework from among many we support on AWS such as MxNet, TensorFlow, Caffe, etc. Developers can build, test, and deploy chatbots directly from the AWS Management Console. Getting started with Rekognition is simple.
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