Posts

Amazon Connect agent workspace supports third-party applications in general availability - devamazonaws.blogspot.com

The Amazon Connect agent workspace now supports third-party applications in general availability. Agents can use Amazon Connect’s native agent applications (Q in Connect, Cases, Customer Profiles, and Step-by-step Guides) alongside internal or custom-built agent applications, all within a unified agent workspace. For example, when the customer calls about an order, the agent workspace can automatically open a third-party shipment tracking application and display the details of the customer’s order, saving the agent from needing to navigate multiple applications or manually search for information to solve the issue. With support for third-party apps within the agent workspace, customers can reduce agent handle time and data entry errors, leading to improved customer satisfaction. Post Updated on March 25, 2024 at 03:51PM

[MS] Why isn’t C++ using my default parameter to deduce a template type? - devamazonaws.blogspot.com

Consider the following function: template<typename T> void Increment(T value = 1); If you call it with no arguments, C++ cannot deduce the template type parameter: // clang error: no matching function for call to 'Increment' couldn't infer template argument 'T' // gcc error: no matching function for call to 'Increment()' couldn't deduce template parameter 'T' // msvc error C2672: 'Increment': no matching overload function found could not deduce template argument for 'T' "What do you mean, you can't deduce the template argument? It's right there: The default parameter is 1 , so T should be int !" The catch is that C++ does not consider default parameters when performing template deduction. It performs deduction only with explicitly-provided parameters. A very common pattern is for the default value of a function parameter to be dependent upon a template type parameter. template<typename T> vo...

[MS] See Your Pull Request Comments with the Latest Preview - devamazonaws.blogspot.com

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We've just shipped preview support for viewing your GitHub and Azure DevOps pull request comments directly in your working file in Visual Studio in 17.10 Preview 2. As one of the most highly requested Git tooling feature suggestions on Developer Community, we need your help to make sure we're on the right track! [video width="1920" height="1080" mp4="https://devblogs.microsoft.com/visualstudio/wp-content/uploads/sites/4/2024/03/Review-Pull-Request-Demo-View-Comments-in-Editor.mp4"][/video] Download the Latest Visual Studio Preview and let us know what you think !   Get Started with Pull Request Comments Make sure you're on version 17.10 Preview 2 or later and have logged in with your GitHub or Azure DevOps account in Visual Studio. You may need to enable the feature in Tools > Options > Preview Features > Pull Request Comments. Checkout a branch that has an active pull request on it and wait a moment for the "Show comments ...

[MS] Introducing Regular Expression (Regex) Support in Azure SQL DB - devamazonaws.blogspot.com

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We are pleased to announce the private preview of regular expressions (regex) support in Azure SQL Database. Regex is a powerful tool that allows you to search, manipulate, and validate text data in flexible ways. With regex support, you can enhance your SQL queries with pattern matching, extraction, replacement, and more. You can also combine them with other SQL functions and operators to create complex expressions and logic. This feature can help you to: Enhance your data quality and accuracy by validating and correcting data formats, such as phone numbers, email addresses, zip codes, etc. Extract valuable insights and information from the data by extracting and grouping specific text patterns, such as keywords, hashtags, mentions, etc. Transform and standardize your data by replacing, splitting, or joining text patterns, such as abbreviations, acronyms, synonyms, etc. Clean and optimize your data by removing or filtering out unwanted text patterns, such as whitespace, punctuatio...

[MS] APIs load testing using K6 - devamazonaws.blogspot.com

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APIs load testing using K6 Context After completing the initial phases of the API endpoints implementation, we needed to plan how we will test the performance, identify potential bottlenecks, and ensure that the system meets the Service Level Objectives (SLOs) requirements. Load testing is used for this purpose. Load testing is a type of performance testing that tests how the system behaves under varying load conditions, including the impact on responsiveness, throughput, and resource utilization. In a recent project, we evaluated different tools and decided to use K6 to conduct load testing. This post will go through the load testing concepts and shows how to use the K6 tool to perform load testing for API endpoints. In this context, we have developed mock Customer API service using Spring Boot. This setup was used to illustrate the process of conducting load-testing with VS Code and K6 which you can find in this repository . Load testing Why we need load testing: Validat...

Amazon RDS Multi-AZ deployments with readable standby instances now support C6gd database instances - devamazonaws.blogspot.com

Amazon Relational Database Service (Amazon RDS) now supports C6gd database (DB) instances in RDS for PostgreSQL and MySQL Multi-AZ deployments with two readable standbys. These compute optimized DB instances are available in sizes ranging from 1 vCPU up to 64 vCPU (medium up to 16xlarge sizes). C6gd DB instances are the only instances that support medium size instances for Multi-AZ deployments with two readable standbys. C6gd is an ideal candidate for cost optimizing dev/test workloads intended for Multi-AZ deployments with readable standby instances. Post Updated on March 21, 2024 at 09:52PM

[MS] Image to Text with Semantic Kernel and HuggingFace - devamazonaws.blogspot.com

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We are thrilled to introduce a new feature within Semantic Kernel that promises to improve AI capabilities: Image to Text modality service abstraction, with a new HuggingFace Service implementation using this capability. A Glimpse into the Demonstration In the video below, we’ll walk through a compelling demonstration of a simple Windows Forms application, showcasing the innovative ImageToText feature integrated into the Semantic Kernel, introduced together with the latest update on our Hugging Face connector. This sample opens asking for a folder path in your environment containing image files. Once provided these images are then displayed in the initial window as soon as the application launches. The application provides an interactive feature where you can click on each image. Upon clicking, the application employs the Semantic Kernel's HuggingFace ImageToText Service to fetch a descriptive analysis of the clicked image. A critical aspect of the implementation is how the applic...