Emoji Reactions to Comments is now offered by AWS CodeCommit

AWS CodeCommit is a source control service that makes it simple for teams to ally on code in a secure and highly scalable ecosystem. CodeCommit removes the necessity to run your own source control system or worry about scaling its infrastructure. New feature introduced by AWS CodeCommit i.e. emoji reactions to comments on pull requests and commits. With this feature, a developer can respond to a comment faster by clicking on the emoji icon in the comment to view a list of supported emojis. They can then pick an emoji from the list that introduces their report about the comment. CodeCommit logs the selected emoji as a reaction to that comment. The list of supported emojis contains favoured reactions like thumbs-up and thumbs-down, smiley face, heart, and ship-it. To know more about comment reactions in AWS CodeCommit please refer to the documentation. And to get the complete list of AWS Regions where AWS CodeCommit is accessible, refer AWS CodeCommit documentation.

Now Europe (Frankfurt) region can use Amazon Aurora Serverless with PostgreSQL compatibility

Amazon Aurora is a completely organized relational database which unites the performance and availability of high-end commercial databases with the ease and cost-efficiency of open source databases. Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora (MySQL-compatible and PostgreSQL-compatible editions), where the database will automatically start up, shut down, and scale capacity up or down based on your application's needs. It's an easy, cost-efficient alternative for unusual, irregular, or uncertain workloads. Further, you do not have to provide or handle database capacity while using Amazon Aurora Serverless. Only you have to create an endpoint using the Amazon RDS Management Console, and Aurora Serverless manages the remaining. Only you have to pay for the database resources you utilize, on a per-second basis and you don't charge for the database instance except if it's really ongoing. Amazon Aurora Serverless with PostgreSQL compatibility feature is now accessible in Europe (Frankfurt) region. With this feature expansion, it is currently available in the US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt) and Asia Pacific (Tokyo) regions. To know more information on Aurora Serverless, read AWS Blog, the Aurora Serverless product page, and in the Aurora documentation.

Container health checks and load balancer views in Spinnaker v1.20 features are introduced by Amazon ECS

Amazon ECS (Elastic Container Service) is an entirely organized container orchestration service. Further, ECS can easily merge with other AWS services to involve new potentials to ECS. Now Amazon Elastic Container Service (ECS) introduced assistance for container health checks and a new user interface for load balancers in Spinnaker v1.20. And you can utilize container health checks via a Spinnaker deployment pipeline which is merged with ECS services. You can also outlook and sort load balancers for ECS services in Spinnaker itself to see load balancers and the deployment pipeline for your ECS services in the same tool. ECS containerized applications deployed using a Spinnaker deployment pipeline can now utilize container health checks to control whether containers are set to receive requests. Earlier, container health checks could be configured in Spinnaker, but were not estimated through ECS deployments. Now deployments to ECS services will hold for any configured container health checks to finish before get going. Further, you can outlook the load balancers, listeners, and target groups related with ECS services inside the Load Balancer Infrastructure tab. This allows you outlook and sort load balancers in use by ECS services in Spinnaker itself, rather than AWS Management Console. Visit the Spinnaker release notes to learn more about the release. To set up the Spinnaker pipeline with ECS, visit the Spinnaker documentation. To learn more about the container health checks, visit the ECS documentation .

Amazon FSx includes enhancements to the AWS Management Console

Amazon FSx offers completely organised third-party file systems. Amazon FSx gives you with the native compatibility of third-party file systems with feature assigns for workloads like Windows-based storage, high-performance computing (HPC), machine learning, and electronic design automation (EDA). Amazon FSx offers you with two file systems to select from: Amazon FSx for Windows File Server for Windows-based applications and Amazon FSx for Lustre for compute-intensive workloads. You don’t have to concern about controlling file servers and storage, as Amazon FSx automates the lengthy administration activities like hardware provisioning, software configuration, patching, and backups. Amazon FSx integrates the file systems with cloud-native AWS services, creating them extra functional for a wider range of workloads. Now Amazon Fsx has included various improvements to the AWS Management Console, covering the potential to outlook Amazon FSx CloudWatch metrics and the power to add and update tags straight from within the Amazon FSx Console. Amazon CloudWatch can utilise to observe the action of your Amazon FSx file systems. Now Amazon FSx Console shows a CloudWatch dashboard and also an alarms for Amazon FSx, and contains a link to the CloudWatch Console for further choices. You can utilise tags to classify and arrange your file systems and backups. Earlier accessible through the API, now updating tags is allowed in the Amazon FSx Console, giving further choices for handling your file system's tags. Now Amazon FSx Console enhancements are obtainable in each regions where Amazon FSx is accessible. Read Amazon Fsx to know more.

Now Amazon Athena helps querying data in Amazon S3 Requester Pays buckets

Amazon Athena is an interactive query service which makes it simple to examine data straight in Amazon Simple Storage Service (Amazon S3) with the help of standard SQL. You can point Athena at your data stored in Amazon S3 using few clicks in the AWS Management Console and start utilizing standard SQL to execute ad-hoc queries and obtain results within seconds. There is no infrastructure to set up or manage as Athena is serverless, so you just charge for the queries you execute. Athena scales automatically—running queries simultaneously —so results are fast, even with large datasets and complex queries. Now Amazon Athena helps querying data in Amazon S3 Requester Pays buckets. Using this new launched feature, Athena workgroup administrators can configure workgroup settings to permit members to reference S3 Requester Pays buckets in queries. Once configured, the requester, rather than the bucket owner, pays for the Amazon S3 request and data transfer charges related to the query. Refer Create a Workgroup from Amazon Athena User Guide to know how to configure this setting for your workgroup. And to read further on Requester Pays buckets, click Requester Pays Buckets in the Amazon Simple Storage Service Developer Guide.

Now Amazon RDS for Oracle offers new instance sizes

Amazon RDS makes it simple to set up, operate, and scale Oracle Database deployments in the cloud. You can deploy several editions of Oracle Database with Amazon RDS within minutes with cost-efficient and re-sizable hardware capacity. Amazon RDS lets you concentrate on application development by handling lengthy database administration activities covering provisioning, backups, software patching, monitoring, and hardware scaling. Now, Amazon RDS for Oracle db.m5 and db.r5 instance classes are accessible in new 8xlarge and 16xlarge sizes. With assistance of these new instance sizes, users who are now working with either m4.10xlarge, m4.16xlarge, r4.8xlarge, or r4.16xlarge now have a better way to the modern generation of instances. M5 instances are the recent generation of normal basic instances and give better performance across latest generation M4 instances. Whereas R5 instances are the current generation of memory optimized instances which give 5% extra memory per vCPU and up to 20% improved CPU performance over R4 instances. You can start using AWS Management Console, AWS RDS CLI, and AWS RDS API. To get information of pricing and regional availability, refer Amazon RDS for Oracle pricing page.

AWS Glue Is Obtainable In AWS GovCloud (US-East) Region

AWS Glue is an entirely organized ETL service – Extract, Transform, and Load which performs it simpler for customers to arrange and load their data for analytics. You can build and execute an ETL job with a few clicks in the AWS Management Console. You directly point AWS Glue to your data saved on AWS. Besides, AWS Glue finds your data and saves the related metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once recorded, your data is instantly searchable, queryable, and available for ETL. AWS Glue crawls your data sources, recognizes data formats, and proposes schemas and transformations. AWS Glue automatically creates the code to run your data transformations and loading processes. AWS Glue is serverless, so there is no infrastructure to provision or manage. AWS Glue executes your ETL jobs on a completely managed Apache Spark environment. Now, you can utilize AWS Glue in the AWS GovCloud (US-East) Region. To get the entire list where AWS Glue is accessible, click AWS Region Table

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 support@cloud.in