Saturday, 20 April 2019

AWS SMS Supports For Migrating VMs Operating in Microsoft Azure

AWS Server Migration Service (SMS) is an agentless service which makes it simpler and swifter for you to move thousands of on-premises workloads to AWS. AWS SMS permits you to automate, schedule, and track incremental replications of live server volumes, making it simpler for you to collaborate extensive server migrations. Now AWS Server Migration Service (SMS) gives assistance for relocating virtual machines (VMs) working in Microsoft Azure to the AWS cloud. This new potential makes it simple for you to move current applications working in Microsoft Azure to the AWS cloud to use benefit of greater reliability, faster performance, more security capabilities, and lower costs. Previously, customers could move VMs working in VMware vSphere and Microsoft Hyper-V environments. Now, customers can utilize the clarity and facilitate of Server Migration Service to move VMs working in Microsoft Azure. You can discover Azure VMs, sort them into applications, and relocate the application group in one unit avoiding the difficulty of cooperating the copy of discrete servers or separating application dependencies. AWS SMS notably lessens the time to move applications and decreases the risk of errors in the moving process. To know further, click AWS SMS and for technical information, click documentation.

Friday, 19 April 2019

New Amazon Aurora Serverless, GraphQL, and OAuth Potentials Introduced By Amplify Framework

The Amplify Framework is an open-source project for creating cloud-enabled applications. Now, Amplify Framework covers assistance for adding Amazon Aurora Serverless as a data source for your AWS AppSync GraphQL APIs when creating mobile and web applications. This allows developers to utilize the Amplify CLI which a part of the Amplify Framework, to produce a GraphQL API with auto-generated schema and resolvers that operates with a current Aurora Serverless database. Earlier, developers had to setup an AWS Lambda function to use Aurora Serverless as a data source for a GraphQL API. The GraphQL Transform library, added in the Amplify CLI, gives an easy formula which aids developers swiftly design scalable web and mobile backends on AWS. This features includes to the GraphQL Transform Library that allows developer to offer fine-grained access control over their APIs by configuring permission rules for top level and discrete fields. Besides, developers can configure access to linked fields within a model, or those that represent relationships between data. Also, this new feature let developers utilizing the Amplify JavaScript library to trigger OAuth flows in their web applications with one line code. To get further details on AWS Amplify, refer documentation and related blog.

Thursday, 18 April 2019

How To Set Up Your First Instance With Amazon Lightsail

Amazon Web Services (AWS) launched a new service called Amazon Lightsail in 2016. Amazon Lightsail is a flat-rate, low-cost computing solution with easy setup and it has low maintenance. In the server hosting world, these systems are known as VPS i.e Virtual Private Servers.

AWS Lightsail VPS is a scaled-down version of its Elastic Compute Cloud (EC2) service. For production workloads, EC2 instances require a range of fine-tuning like selecting the right Amazon Machine Image (AMI), placement in a virtual private cloud (VPC), assigning security groups, configuring network interfaces, and so on.

Amazon Lightsail instances don’t need any of these. This ease of set up and operation means that Lightsail instances don’t need to be maintained by dedicated server teams. They are classical for developers, devotee, and small teams.

Step 1 : Sign-Up For AWS
To launch your first lightsail instance you requires an AWS account. Sign up for AWS, or Sign in to AWS if you already have an account.

Step 2 : After Login In AWS Management Console, Select Amazon Lightsail
Amazon Lightsail is a low cost VPS(virtual private server) service launched by Amazon Web Services(AWS). Launching an instance become very easy for non-technical people. With Lightsail you can launch a virtual machine preconfigured with SSD-based storage, DNS management, and a static IP address with a few simple clicks.

Step 3 : Click On The Create Instance Button

Step 4 : Choose The AWS Region And Availability Zone For Your Instance

Step 5 : Choose Your Platform And OS Which You Want To Install For Instance

Step 6 : Create New SSH Key
If you don't choose to use the default key, you can create a new key pair at the time you create your Lightsail instance.

  1. If you haven't done it yet, choose Create instance.
  2. On the Create an instance page, choose change SSH key pair.
  3. Choose Create new.
  4. Lightsail displays the region where we're creating the new key.

Step 6 : Choose An Instance Plan
A plan includes a low, predictable cost, machine configuration (RAM, SSD, vCPU), and data transfer allowance. You can try the $3.50 USD Lightsail plan without charge for one month (up to 750 hours). AWS credits one free month to your account.

Step 7 : Identify Your Instance
You can rename your instance to something more appropriate, and at last click on create.

Step 8 : Create A Lightsail Static IP Address And Attach It To Your Instance
The default public IP for your Lightsail instance changes if you stop and start the instance. A static IP address, attached to an instance, stays the same even if you stop and start your instance.

Create a static IP address and attach it to your Lightsail instance.

With reference to this article, you must be able to launch your first Lightsail instance. If you have any queries then write us at

Wednesday, 17 April 2019

Now Resource Tagging Is Supported By Amazon FreeRTOS

Amazon FreeRTOS (a:FreeRTOS) is an OS for microcontrollers that makes small, low-power edge devices simple to program, deploy, secure, connect, and manage. Amazon FreeRTOS expands the FreeRTOS kernel, a leading open source OS for microcontrollers, with software libraries which make it simple to safely join your small, low-power devices to AWS cloud services like AWS IoT Core or to more strong edge devices executing AWS IoT Greengrass. Now you can give tags to Amazon FreeRTOS Over-The-Air (OTA) update and customer configuration resources. This aids to find and handle access control of these resource depends on resource tagging. This assistance creates on earlier-released support for resource tagging in AWS IoT Core. Resource tagging gives multiple advantages. Tagging brings asset discoverability where a resource query can be related to an allocated tag, and you can find tagged resources. Besides, tag-based resources offer access control. To know further about how to tag IoT resources, refer Tagging Your AWS IoT Resources. See AWS Tagging Strategies for general best practices for using tags with AWS resources.

Tuesday, 16 April 2019

New Storage and Host Metrics Added By Amazon RDS Enhanced Monitoring

Enhanced Monitoring metrics are saved in the CloudWatch Logs for 30 days by default. To alter the amount of time the metrics are saved in the CloudWatch Logs, modify the retention for the RDSOSMetrics log group in the CloudWatch console. Amazon Relational Database Service (RDS) Enhanced Monitoring, which gives visibility into the health of your Amazon RDS instances, describes physical storage device metrics and secondary instance host metrics. When the Amazon RDS storage is using more than one physical device, Enhanced Monitoring gathers the data for every device. Besides, when the DB instance is functioning in a Multi-AZ configuration, the data for every device on secondary host is gathered also secondary host metrics. Physical device and Multi-AZ secondary host metrics both are accessible on RDS for Oracle, PostgreSQL and MySQL. With data described on every physical device, you can observe how many physical devices make up their volumes, if I/O is balanced over physical devices, and view if latency is uniform over physical devices. You can smoothly integrate Enhanced Monitoring with third-party applications to observe your Amazon RDS DB instances. To get entire list of obtainable metrics and further information about this feature, refer Enhanced Monitoring documentation.

Monday, 15 April 2019

AWS Amplify Console Gives Assistance in Five More Regions

The AWS Amplify Console offers a Git-based workflow for deploying and hosting fullstack serverless web applications. A fullstack serverless app includes a backend built with cloud resources like GraphQL or REST APIs, file and data storage, and a frontend built with single page application frameworks like React, Angular, Vue, or Gatsby. The Amplify Console hastens your application issue cycle by giving an easy workflow to deploy full-stack serverless applications. Only you need to link your application’s code repository to Amplify Console, and modifications to your frontend and backend are deployed in one workflow on each code commit. Now, AWS Amplify Console is accessible in further new five AWS Regions, are Asia Pacific (Tokyo), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Mumbai), and EU (Frankfurt). With this new regions expansion, the AWS Amplify Console Availability count becomes 11. The AWS Amplify Console is a completely organized hosting service, to know further on hosting your web application, refer Getting Started.

Saturday, 13 April 2019

Now Amazon QuickSight Offers Localization, Percentile Calculations And Further

Amazon QuickSight is a rapid, cloud-powered business intelligence service which makes it simple to provide insights to all in your company. As an entirely managed service, QuickSight allows you simply build and broadcast interactive dashboards which contains ML Insights. Dashboards can then be accessed from any device, and embedded into your applications, portals, and websites. Now, Amazon QuickSight is available in 10 upmost languages! These languages are English, German, Spanish, French, Italian, Portuguese, Japanese, Korean, Simplified Chinese, and Traditional Chinese. With assistance for these languages over the whole product, Amazon QuickSight now makes it simpler for all to get deeper insights from their data. Besides, Amazon QuickSight gives assistance for percentile calculations that allows you to produce 50th, 90th, 95th or nth percentile of any metric to simply foresee allotment of your data. Also, you can arrange your visuals to show a custom number of data points or groups before showing the "other" category. This feature is available for bar charts, combo charts, line charts, pie charts, heat maps, and tree maps. These updates are accessible in Standard and Enterprise Editions in each QuickSight regions - US East (N. Virginia and Ohio), US West (Oregon), EU (Ireland), and Asia Pacific (Singapore, Sydney and Tokyo).

AWS SMS Supports For Migrating VMs Operating in Microsoft Azure

AWS Server Migration Service (SMS) is an agentless service which makes it simpler and swifter for you to move thousands of on-premises wo...