Now Amazon EventBridge is accessible in AWS Middle East (Bahrain) AWS Region

Amazon EventBridge is a serverless event bus service which is simple to join your applications with data from a multiple sources. Amazon EventBridge provides a stream of real-time data from your individual applications, Software-as-a-Service (SaaS) applications like Zendesk, Datadog, and Pagerduty, and AWS services and routes that data to targets like AWS Lambda. You can assign routing rules to find out where to transmit your data to create application architectures which proceed in real time to each of your data sources. Amazon EventBridge permits you to design event driven architectures, which are loosely coupled and distributed. Now you can utilize Amazon EventBridge to simply join applications together in the AWS Middle East (Bahrain) AWS Region. Amazon EventBridge makes it simple to create event-driven applications, as EventBridge handles event ingestion and delivery, security, authorization, and error handling. To get the complete list of AWS Region where Amazon EventBridge is accessible, refer AWS Region table. To begin with the EventBridge, you can use AWS Management Console, Command Line Interface (CLI), or SDK.

Data API Assisted By Amazon Aurora Serverless PostgreSQL

You can access Amazon Aurora Serverless PostgreSQL with the help of built-in Data API, that allows you to access Aurora Serverless with web services-based applications. Specially, Amazon Aurora can be accessed seamlessly from AWS Lambda, AWS AppSync, and AWS Cloud9. The Data API lets you concentrate on creating your applications excluding all troubles of handling database connections or connection pools. Rather, you can use SQL commands against Amazon Aurora Serverless cluster by only calling HTTPS API endpoint offered by the Data API. The Data API handles database connections and returning data. As Data API holds database credentials saved in AWS Secrets Manager, you don’t require to give credentials in API calls. The users utilizing AWS Lambda, the Data API gives a certain method to access your database excluding the extra raised for Lambda functions to be initiated in Amazon VPC. Integration with the AWS SDK gives programmatic interface to run SQL statements with parameters, transaction execution, and batch updates. Data API is accessible US East (N.Virginia, Ohio), US West (Oregon), Asia Pacific(Tokyo) and Europe(Ireland) AWS Regions. And it supports PostgreSQL-compatible and MySQL-compatible Aurora Serverless databases. To get further information to start with Data API containing directions, refer documentation.

AWS Snowball Edge is accessible in Asia Pacific (Hong Kong)

AWS Snowball Edge is a service available in two options for a data migrations and edge computing device. AWS Snowball Storage Optimised offers both block storage and Amazon S3-compatible object storage, and 24 vCPUs. Besides, it it right choice for local storage and large scale-data transfer. Also Snowball Edge Compute Optimized gives 52 vCPUs, block and object storage, and an optional GPU for use cases like advanced machine learning and full motion video analysis in disconnected environments. Snowball Edge assists particular Amazon EC2 instance types and also AWS Lambda functions, so customers may develop and test in AWS then deploy applications on devices in remote locations to collect, pre-process, and return the data. Now AWS Snowball Edge is accessible in the Asia Pacific (Hong Kong) AWS region. Snowball Edge supports to solve the obstacles migrating huge data sets to the cloud when you do not have adequate network bandwidth for transfers. For edge computing use cases, Snowball Edge allows you to execute Amazon EC2 instances and AWS Lambda functions on AWS IOT Greengrass. To get the full list of AWS Region where AWS Snowball Edge is available, refer AWS Region table. To get more information, read documentation or visit Snowball Edge web page, AWS Console.

Amazon VPC Sharing is obtainable in AWS GovCloud (US-East)

Amazon VPC allows you to initiate AWS resources into a virtual network that you have described. And with VPC sharing, you can enable other AWS accounts to build their application resources, like EC2 instances, RDS, Redshift clusters, and Lambda functions, into shared, centrally-managed Amazon VPCs. Customers make several AWS accounts to generate effective billing and control access to different environments, like development, staging, and production, over multiple business and application teams. Now, you can design independent Amazon VPCs for all account with the account holder being accountable for connectivity and security of all Amazon VPC. Using VPC sharing, IT team can possess and control your Amazon VPCs and your application developers no longer have to handle or configure Amazon VPCs, but they can access them as required. Now Amazon Virtual Private Cloud sharing (VPC sharing) is accessible in the AWS GovCloud (US-East) Region and in each commercial AWS Regions excluding in South America (São Paulo), Asia Pacific (Osaka-Local), and China regions. There are no extra prices applicable on this feature. To read further on VPC sharing, refer documentation.

Nested Workflows Offered By AWS Step Functions

AWS Step Functions allows you collaborate several AWS services into serverless workflows so that you can create and update apps faster. You can build and execute workflows which frame jointly services with the help of AWS Step Functions like AWS Lambda and Amazon ECS into feature-rich applications. Workflows are consists of a sequence of steps, with the output of one step functioning as input into the next. Now AWS Step Functions permits you to organize intricate methods by composing modular, reusable workflows. As companies utilize workflows very largely, their workflows get complex to create, check, and modify. Frequent workflow methods are usually repeated in different locations. With nesting your Step Functions workflows, you can create greater, very tangle workflows out of smaller, simpler workflows. AWS Step Functions lets you to exchange and restructure workflow modules excluding customizing code. This permits you to build new workflows from your current workflows in minutes. You can start a nested workflow execution from just one workflow step. You can configure your workflow to launch a nested workflow with the help of code snippets in the console. No extra cost for initiating a nested workflow. Nested workflows are charged same as each Step Functions workflows, refer pricing. Nested workflows are accessible in every AWS public regions where Step Functions is obtainable, visit AWS Regions to get list.

Node.js v10 Supported By AWS Lambda

AWS Lambda is a compute service that allows you to execute code excluding provisioning or managing servers. AWS Lambda runs your code only when required and scales automatically, from a few requests per day to thousands per second. Besides, you can execute code for virtually any type of application or backend service - all with zero administration. Now you can build your AWS Lambda functions with the Node.js v10. Also the to the leveraging new features in Node.js v10 like the performance enhancements in the V8 6.6 engine, Lambda functions written in Node.js 10 execute on the recent generation of Amazon Linux, Amazon Linux 2. You can directly upload your code as a ZIP via AWS CLI or AWS Lambda console and choose the Node.js 10.x runtime to start deploying your Node.js code as a Lambda function. Further you can utilize the AWS Serverless Application Model (SAM) to deploy and manage your serverless application authored in Node.js. You can read more about the Node.js programming model in the AWS Lambda documentation. The Node.js 10.x runtime is accessible in every regions where Lambda is available. AWS Lambda will automatically update the language minor versions to recent minor version, as defined by https://github.com/nodejs/Release.