AWS CodeArtifact: Add Your Swift Packages
In this article related to Amazon, Seb explains how Swift developers who write code for Apple platforms (iOS, iPadOS, macOS, tvOS, watchOS, or visionOS) applications that run on the server side can utilize AWS CodeArtifact to safely store and retrieve their package dependencies.The fact that normal developer tools like Xcode, xcodebuild, and the Swift Package Manager (the swift package command) can still be used by developers to interface with AWS CodeArtifact and facilitate integration into the development workflow is one of the aspects of this service that he find most appealing.
Building Apple Silicon M2 Pro Mac Mini Computers with Amazon EC2 M2 Pro Instances
Built on Apple Silicon M2 Pro Mac Mini Computers, the Amazon EC2 M2 Pro Mac Instances are available for purchase here. Channy explained in her article how software developers may utilize Amazon EC2 M2 Pro Mac to speed product time to market, modernize their continuous integration and continuous delivery processes, and perform memory-intensive builds and test workloads. Apple engineers are now able to perform more tests in parallel using multiple Xcode simulators since EC2 M2 Mac instances have 2 times the RAM, 1.5 times the CPU cores, and more than 2 times the GPU cores of EC2 M1 Mac instances.
Version 2.0 of the Synthetics Python Runtime for Amazon Cloud Watch
You will be able to create canaries with Amazon CloudWatch Synthetics, which will allow you to regularly validate the experience that your customers get and find problems before your customers do. Canaries are scripts that can be configured to run on a schedule and serve the purpose of monitoring your APIs and endpoints. For the purpose of this announcement, you are able to generate canaries by utilizing the Synthetics Python runtime version syn-python-selenium-2.0.
Amazon QuickSight updates the KPI visual with a new layout and sparkline
With these new changes, creating visually pleasing KPIs on Amazon Quicksight can now be done with minimal effort. Quicksight presents a number of enhancements with a user-friendly experience, such as templated KPI layouts, support for sparklines, improvements in conditional formatting, and a redesigned format pane. Also included in this update is an improved format pane.
Amazon Location Services has announced that they will be lowering their prices for tracking and geofencing by up to 75 percent
Amazon Location Service just recently launched a four-tiered pricing model for tracking and geofencing, which will assist you in scaling your operations and business in a manner that is both cost-effective and efficient. If you employ geofencing, you might see a decrease in your cost of anywhere from 20 to 70 percent, and in your tracking of anywhere from 50 to 75 percent.
The present Amazon Corretto 21 is readily available
The good news for Java programmers is that Amazon Corretto 21 is now available to the entire public. Linux, Windows, and macOS are all supported versions of Amazon Coretto 21, which comes with long term support (LTS).
The management of Auto-Scaling settings has been enhanced by AWS App Runner
You may now utilize new APIs and parameters for the AWS App Runner service to manage your App Runner services. These updates were launched as part of AWS App Runner’s ongoing effort to improve its auto-scaling configuration management capabilities. For instance, creating the default ASC, updating the existing ASC, and listing all App Runner services that are utilizing an ASC resource are all examples of what are included in this task.
Redaction or masking of data for Amazon SNS messages
Amazon Simple Notification Service message content can be protected via redaction or masking. Discovering and protecting certain types of personally identifiable information (PII) and protected health information (PHI) is now possible with Amazon SNS. PII stands for personally identifiable information, and PHI stands for protected health information. You have the ability to create your own data protection policies, and SNS will check messages in real time in search of sensitive material.
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