Now AWS CodeCommit obtainable in Asia Pacific (Hong Kong) AWS Region

AWS CodeCommit is an entirely organised source control service which hosts Git-based repositories. AWS CodeCommit use to safely keep any form of data from source code to binaries, and it operates smoothly with your current Git tools. Only you have to build a repository to keep your code. And no hardware required to provision and scale or software to install, configure, and operate. CodeCommit makes it simple for developers to work jointly on code with pull requests, branching, and merging in a safe and extremely scalable ecosystem. You can apply workflows which contain code reviews and feedback by default, and control who can modify to particular branches. AWS CodeCommit excludes the requirement to run your own source control system or concern about scaling its infrastructure. AWS IAM used by CodeCommit to handle and observe who can use your data and also how, when, and where they can use it. Additionally, AWS CodeCommit supports you examine your repositories through AWS CloudTrail and AWS CloudWatch. To get the pricing details for AWS CodeCommit, see Pricing. And to get started with AWS CodeCommit, refer documentation or visit the AWS Management Console directly. To get the complete list of AWS Region where AWS CodeCommit is available, refer Region Table.

Now AWS IoT Things Graph offers workflow examining with AWS CloudWatch

AWS IoT Things Graph is an orchestration service which clarifies development of IoT applications. AWS IoT Things Graph is an entirely organized service which allows customers to quickly create IoT applications with the help of a visual drag-and-drop interface to link and collaborate any devices and web services of their option. These applications can utilize multiple devices and web services from various manufacturers which apply distinct protocols, data formats, and message syntaxes. When users are set to deploy their application, AWS IoT Things Graph automatically connects low-level device and service details (e.g., communication protocols, unit conversions) jointly, so they can pass on with each other with small custom code, reducing users time, effort, and money. User can deploy their application to either the AWS IoT Cloud or Greengrass-enabled gateway. Now you can observe your AWS IoT Things Graph workflows utilizing AWS CloudWatch metrics. You can gather metrics for workflow steps which are performed by AWS IoT Things Graph, covering success count, failure count, and total count and then set alarm thresholds for each of these metrics within AWS CloudWatch. For example, you can set alarms that watch for the number of flows that have failed, and send notifications to a downstream application or to an operator. To get further detail information on AWS IoT Things Graph, read documentation, or you can read features here.