Now Amazon Managed Blockchain is accessible in the Asia Pacific (Singapore) region

Amazon Managed Blockchain is an entirely organised service which makes it simple to design and handle scalable blockchain networks implementing the approved open source frameworks Hyperledger Fabric and Ethereum* with just a few clicks. Amazon Managed Blockchain removes the costs need to build the network, and automatically scales to fulfil the requirements of thousands of applications functioning millions of transactions. When your network is active and working, Amazon Managed Blockchain helps it to make simple to organise and keep your blockchain network. It handles your certificates and allows you simply ask new members to connect the network. Amazon Managed Blockchain is accessible in the following AWS regions: US East (N. Virginia), and Asia Pacific (Singapore). To get further details on AWS regions and services, go through the AWS global region table. And you can read more about Amazon Managed Blockchain on documentation

Amazon Lightsail proposes resource monitoring, alarming and notifications

Amazon Lightsail now offers resource monitoring, alarming and notifications. You can now assign starting point for each of the monitored metrics for Amazon Lightsail instances, load balancers and databases, and be notified if the thresholds are exceeded via email and SMS notifications. This new launch will let you understand the health of your Lightsail infrastructure, and be notified if there are any difficulties. At most 2 alarms per metric can be stated on instances, load balancers and databases. For example, one alarm could be used as an alert and the other alarm could pop when it has exceeded a critical threshold. To create the alarm, you only need to choose the metric you require to alarm on, a threshold value for the metric to exceed and how long the metric requires to overshoot the threshold value to trigger the alarm. When an alarm is violated, a warning flag is appeared in the Lightsail console. Besides, you can select to get notifications through email and/or SMS text message using Amazon Simple Notification Service (SNS). Email address and SMS contact numbers can be supplied on a region by region basis, and not all regions support SMS text messaging (read documentation for details). No extra charges are applied on this new feature. To get more information, read documentation on how to create your first set of alarms.

Now Health Based Detection offered by AWS Shield Advanced

AWS Shield is a managed Distributed Denial of Service (DDoS) protection service which protects applications working on AWS. AWS Shield offers always-on detection and automatic inline mitigation that reduce application downtime and latency, so there is no requirement to occupy AWS Support to benefit from DDoS protection. There are two tiers of AWS Shield - Standard and Advanced. Now AWS Shield Advanced manages the health of your applications to better responsiveness and perfection in attack detection and mitigation. You can specify a health check in Amazon Route 53 and then link it with a resource which is safeguard by Shield Advanced via the console or API. You can implement health-based detection to all resource types that Shield Advanced supports: Elastic IP, Elastic Load Balancing (ELB), Amazon CloudFront, AWS Global Accelerator, or Amazon Route 53. When you configure health-based detection, Shield Advanced apply the health of your application as an extra signal for attack detection, accompanying several other traffic attributes. This lets Shield Advanced to notice attacks much faster and at lower traffic thresholds, upgrading the DDoS resiliency of your application and stopping fake positive notifications. Resource health status will be obtainable to the DDoS response team too. Health based detection is accessible in every AWS region where Shield Advanced is available and can be activated without any extra charges. To get detailed information about Route 53 health checks, read How Amazon Route 53 Checks the Health of Your Resources and Creating and Updating Health Checks

READ COMMITTED Isolation Level on reading Replicas supported by Amazon Aurora

Amazon Aurora, a relational database that is compatible with MySQL and PostgreSQL and built for the cloud combining the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness features of open source databases, now supports the ANSI READ COMMITTED isolation level on reading replicas. It offers an isolation level that helps in executing long-running queries on an Aurora read replica without impacting the throughput of writes on the writer node. Amazon Aurora provides better results than both MySQL and PostgreSQL as it’s up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. Not only is the speed faster, but it also provides security, availability, and reliability of commercial databases at 1/10th the cost. It helps in automating time-consuming administration tasks such as hardware provisioning, database setup, patching, and backups as it’s completely managed by Amazon Relational Database Service (RDS) that. The READ COMMITTED isolation level which is compatible with MySQL 5.6, and with engine version 2.07 and above, is available with Aurora MySQL engine version 1.21 and above. It is a great combination of performance and availability of high-end commercial databases and offers a simple yet cost-effective architecture.

Aggregation of health events across AWS Organizations enabled by AWS Health

Amazon Web Services introduced yet another useful feature for the healthcare sector. Businesses can now have a central management system for their AWS Health events form all their accounts within the company. It will help in dealing with operational issues, creating a proper schedule for maintenance, and keeping track of account notifications by offering centralised and real-time access to all of your AWS Health events. There is no complex functionality of the installation process for the Organisational View, anyone can start using it with the AWS Health API. Crossing the barriers of conventional services and features offered by them, the Organisational View offers several new benefits and will open gates to new possibilities. For instance, it brings awareness about issues that impact resources within an organisation by providing a centrally managed operations team keeping an eye on the complete process and can respond to events that affect your accounts. It also improves the troubleshooting capabilities of a system and provides information beforehand about future changes. Just like any other AWS Health API, the Organisational View is also available worldwide in all AWS Regions at no additional cost for users with a Business or Enterprise Support plan.

Asia Pacific (Hong Kong) and the Middle East (Bahrain) Region can now access Amazon Data Lifecycle Manager

As per Amazon’s latest addition of Amazon Data Lifecycle Manager i.e. Amazon DLM, the Asia Pacific (Hong Kong) and the Middle East (Bahrain) regions can now use the Amazon DLM for EBS snapshots. It follows a simple and fully-automated approach for data backup and offers added features that allow users to create and manage their EBS backups without using custom scripts. As we mentioned earlier that it follows a simple approach for data back up, it offers an even simpler way of usage. Users can start creating lifecycle policies using the Amazon Data Lifecycle Manager (Amazon DLM) just by tagging their EBS volumes. It facilitates users with policy creation in the AWS Management Console by using either the AWS Command Line Interface (CLI) or the Data Lifecycle Manager APIs. This expansion of Amazon Data Lifecycle Manager covers 18 AWS regions and has features like automating the creation, retention, and deletion of snapshots. It helps in protecting valuable data as it maintains a regular backup schedule, retaining backups as needed by auditors or internal compliance, and in cutting down storage costs by deleting outdated backups.

AWS Transit Gateway for AWS Middle East (Bahrain) Region supported by AWS Direct Connect

Amazon Web Services recently introduced AWS Direct Connect support for its AWS Transit Gateway in the AWS Middle East region, Bahrain to be precise. This new service will help the users connect multiple AWS regions to their on-premises networks using AWS Direct Connect Connections. By connecting thousands of Amazon Virtual Private Clouds i.e. Amazon VPCs, it will allow the users to access almost every AWS Region with China being an exception. AWS Direct Connect is bringing a new type of virtual interface to support connectivity to AWS Transit Gateway, called the transit virtual interface to support connectivity. Using your 1/2/5/10 Gbps AWS Direct Connect connections you can create a transit virtual interface at any AWS Direct Connect locations but China. It is recommended to attach at least two transit virtual interfaces from different AWS Direct Connect locations to the Direct Connect gateway for increasing the resilience of your connectivity. It is available for 20 AWS Regions and AWS Transit Gateway for other regions shall be seen in the market very soon.

AWS Elemental MediaConvert enabled with MP3 Audio Output

AWS Elemental MediaConvert can now create MP3 audio files and has introduced a new feature of expanded support for audio-only workflows. It is a file-based video transcoding service offering broadcast-grade features and allows the users to create video-on-demand (VOD) content multiscreen delivery and broadcast. It will change the conventional ways of producing MP3 audio used across various media. MediaConvert offers MP3 creation in several forms such as standalone audio conversion jobs, extracted from video files, or as supplementary outputs obtained in the process of video transcoding. It is a perfect amalgamation of simple web services interface with advanced video and audio capabilities and pay-as-you-go pricing. AWS Elemental MediaConvert simplifies the process of building and operating your own video processing infrastructure allowing you to focus on delivering captivating media experiences to your audience. This feature will prove to be very beneficial for all audio and video providers across the globe in transcoding on-demand content for their users with full reliability. Users can either opt for its independent functionality or they can harness MediaConvert functions as a part of AWS Media Services.

Quick refurbishing for EFS level recovery delivered through AWS Backup

AWS Backup is an authorised backup facility that makes it more convenient to configure and administer automatically, the back-up of data across AWS services in the cloud system that is on-premises utilising the AWS Storage Gateway. AWS Backup supports a sleek experience for Amazon Elastic File System (EFS) Item Level Recovery. Users can use AWS Backup to perform coarse recovery of individual files and folders from the Amazon EFS backups utilising an integrated console, for a simplified and quick restore experience, to conquer more rigid Recovery userTime Objective (RTO) needs. It automatises and consolidates backup tasks that are previously performed service-by-service and eliminates the requirements for creating custom scripts and manual processes. Utilising AWS Backup, users can compose the backup policies and administer the backup activity for AWS resources, such as Amazon EBS volumes, Amazon RDS databases, Amazon DynamoDB tables, Amazon EFS file systems, and AWS Storage Gateway volumes.

New sam build command introduced by AWS SAM

The AWS Serverless Application Model (SAM) is an open-source layout for creating serverless applications. AWS SAM offers shorthand syntax to show functions, APIs, databases, and event source linkings. You can describe the application you require and model it with the YAML by only few lines per resource. While execution, AWS SAM converts and widens the SAM syntax into AWS CloudFormation syntax, allowing you to create serverless applications quicker.

The AWS SAM CLI is a command line tool which runs on an AWS Serverless Application Model template and application code. You can call Lambda functions locally, build an execution package for your serverless application, execute your serverless application to the AWS Cloud with the AWS Serverless Application Model Command Line Interface. With the utilization of AWS SAM CLI commands, you can build, test, and deploy your serverless applications to the AWS Cloud.

Now sam build command can utilize to compile deployment packages for AWS Lambda functions inscribed in Python Language with the help of AWS Serverless Application Model (AWS SAM) Command Line Interface (CLI). This new sam build command allows you to seamlessly build deployment artifacts which object AWS Lambda's performance domain. This sam build command allows the functions you create locally to execute in a homogeneous in the cloud. This command iterates via the functions in your application, looks for a manifest file like requirements.txt which includes dependencies, and automatically creates deployment artifacts that you can deploy to Lambda with the sam package and sam deploy commands.

Faster performance by AWS CodePipeline assists further Pipeline actions each phase

AWS CodePipeline is quite organized continuous delivery service which offers you to automate your release pipelines for swift and reliable application and infrastructure updates. There is a code modification related to the release model you describe when CodePipeline automates the build, test, and deploy stages of your release process each time. AWS CodePipeline allows you to quickly and reliably provide features and updates. AWS CodePipeline is compatible with third-party services like GitHub or with your personal custom plugin. It permits you to model the disparate phases of your software release process using the console interface, the AWS CLI, AWS CloudFormation, or the AWS SDKs. AWS CodePipeline automates your software release process, permitting you to quickly release new features to your users. And with this, you can swiftly iterate on feedback and get new features to your users quick.

Your pipelines will operate brisker so you will get build and check solutions earlier and you can iterate faster on more features due to the decreased time in between pipeline tasks of AWS CodePipeline. These tasks are like creating code or deploying to a region. Formerly, the basic limit was of 20 total tasks each phase containing limits of 10 for both sequential and equivalent tasks. Now, this AWS CodePipeline lifted the standard limit on actions each phase to 50 for all action types. The newly added limits allows you to create more tangled pipelines without troubling about limits on the number of tasks each phase. There is no additional charges or long-term commitments with AWS CodePipeline, you just need to pay other resources what you use. Each current and new pipelines in all region is accessible where AWS CodePipeline is available.

Amazon ElastiCache for Redis offers auto-failover and backup/restore assistance for T2 nodes

Amazon ElastiCache for Redis is a rapid Redis-compatible in-memory data structure service which can be utilized as a data store or cache that gives sub-millisecond latency to command real-time internet-scale applications. This is constructed on Open Source Redis and compatible with the Redis APIs, ElastiCache for Redis operates with your Redis clients and uses the open Redis data format to save your data. Your self-organized Redis applications can work smoothly with ElastiCache for Redis without any code modification. It delivers the ease-of-use and power of Redis along with the availability, reliability, scalability, security, and performance suitable for the most demanding applications. Amazon ElasticCache offers potential of Redis with security, performance, scalability, reliablity, and availability best fitted for the very challenging real-time applications like Gaming, Ad-Tech, E-Commerce, Healthcare, Financial Services, and IoT.

Amazon ElastiCache for Redis aids Redis cluster mode and offers high availability through support for automatic failover by finding the first node failure and upgrading the copy to be the first with least influence. It enables for read availability for your application by assisting read copies over availability zones, to allow the reads to be performed when the first is occupied with the high workload. Amazon ElastiCache for Redis now offers auto-failover and backup/restore for T2 node types. This introduction allows you to create development and test domains related to T2 nodes that have equivalent setups as production general-purpose M and compute-optimized R node domains. You can generate snapshots of your ElastiCache for Redis clusters executing on T2 nodes that can be utilized for restore operations. This feature is accessible in every regions and for each current and new ElastiCache for Redis T2 Clusters. To create a new cluster or alter your current cluster, refer AWS Management Console.

For Swift Streaming, AWS Lambda helps Kinesis Data Streams improved Fan-Out and HTTP/2

AWS Lambda your code without you to provision or manage servers. You just require the code and upload it to Lambda. You can execute code for virtually any type of application or backend service - all with zero administration, with the Amazon Lambda. Your code can automatically activate from other AWS services or run it directly from any web or mobile app. Amazon Kinesis Data Streams (KDS) is a extremely scalable and durable real-time data streaming service. KDS can repeatedly record gigabytes of data per second from hundreds of thousands of sources like website click streams, database event streams, financial transactions, social media feeds, IT logs, and location-tracking events. The data gathered is obtainable in milliseconds to allow real-time analytics use cases like real-time dashboards, real-time anomaly detection, dynamic pricing, and more.

Now, AmazonKinesis Data Streams (KDS) improved fan-out and HTTP/2 data recovery features for Kinesis event sources are supported by the AWS Lambda. The HTTP/2 data recovery API boosts the data sending speed between data producers and Lambda functions with more than 65%. Improved fan-out enables you to process the same KDS stream with several Lambda functions in simultaneous without performance disgrace. Kinesis Data Streams (KDS) improved fan-out and HTTP/2 data recovery features is available in every regions where AWS Lambda is available.

AWS Storage Gateway Virtual Tape Library widens assistance for Common Backup Applications

AWS Storage Gateway is a hybrid storage service which allows your on-premises applications to smoothly utilize AWS cloud storage. You can utilize the service for backup and archiving, trobleshootinbg, cloud data processing, storage tiering, and relocation. Your applications join to the service via a virtual machine or hardware gateway appliance with the basic storage protocols, like NFS, SMB and iSCSI. The gateway joins to AWS storage services, like Amazon S3, Amazon Glacier, and Amazon EBS, giving storage for files, volumes, and virtual tapes in AWS. AWSStorage Gateway service contains a highly-optimized data transfer mechanism, with bandwidth management, automated network resilience, and efficient data transfer, along with a local cache for low-latency on-premises access to your most active data.

Tape Gateway is suitable with latest versions of familiar backup applications, containing Veritas NetBackup 8, Veritas Backup Exec 20, Microsoft System Center Data Protection Manager (DPM) 2016, and Quest NetVault Backup 11 and 12. The Tape Gateway virtual tape library (VTL) aids you relocate your tape-based backup and archiving workflows to the AWS cloud easily, while protecting your current backup applications in place. You can effortlessly relocate your virtual tapes to an archive on Amazon Glacier for long-term control on durable, low-cost storage, with probable recovery in three-to-five hours. Tape Gateway is accessible in entire AWS regions where Storage Gateway is available, excluding South America (São Paulo).

Amazon Route 53 Resolver launched by Amazon Route 53

Amazon Route 53 is a highly available and scalable cloud Domain Name System (DNS) web service. Amazon Route 53 is created to offer developers and businesses an acutely valid and cost effective way to send end users to Internet applications by converting names like www.example.com into the numeric IP addresses like 192.0.2.1 which systems utilize to join to each other. Amazon Route 53 is entirely adaptable with IPv6 as well. Amazon Route 53 to match domain names to your Amazon EC2 instances, Amazon S3 buckets, Amazon CloudFront distributions, and other AWS resources. It also provides Domain Name Registration – you can buy and handle domain names like example.com and Amazon Route 53 will automatically configure DNS settings for your domains. To enable resolution of DNS namespaces between your on-premises data center and Amazon Virtual Private Cloud (VPC), design DNS endpoints and conditional forwarding rules.

Route 53 Resolver contains the Amazon DNS Server (AmazonProvidedDNS) that is obtainable automatically in every Amazon VPCs and replies to DNS queries from AWS resources for public records, Amazon VPC-specific DNS names, and Amazon Route 53 private hosted zones. Route 53 Resolver makes hybrid cloud simple for enterprise customers by allowing effortless DNS query resolve over your whole hybrid cloud. Users with workloads leveraging both Amazon VPCs and on-premises resources too require to solve private DNS logs hosted on-premises. Amazon Route 53 Resolver rules grant users to conditionally forward DNS requests from your VPC to an on-premises DNS resolver. For further information, go through the documentation

AWS Organizations are now under assistance of AWS CloudTrail

AWS CloudTrail is a service which allows governance, compliance, operational auditing, and risk auditing of your AWS account. You can record, constantly check, and maintain account actions associated to actions over your AWS infrastructure with the AWS CloudTrail. AWS CloudTrail gives event record of your AWS account actions, covering actions performed via the AWS Management Console, AWS SDKs, command line tools, and other AWS services and also, this event record clarifies security analysis, resource change tracking, and troubleshooting.

AWS CloudTrail records AWS Management Console actions & API calls that implies enlarge visibility in your user and resource actions and this helps to find which users and accounts invoked AWS. Within one account, you can build, handle and execute AWS CloudTrail track over an Organization. With the combination of AWS CloudTrail and AWS Organizations, this organization track allows you to describe a consistent event recording plan for your organization which is implemented by default to every member account in organization.

By default, AWS CloudTrail clones the track definition to every member account on building and reproduces the modifications to the member account when the track in master account is updated. With the help of organization’s master account, you can frame a track and dot it for execution over the member accounts organization tracks and record them in same Amazon S3 bucket like described by the organization track in the master account.

This service is accessible in the Asia Pacific (Mumbai), Asia Pacific (Osaka-Local), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), EU (Frankfort), EU (Ireland), EU (London), EU (Paris), South America (Sao Paulo), US East (N. Virginia), US East (Ohio), US West (N. California), and US West (Oregon) AWS Regions.

AWS SAM gives assistance to Amazon API Gateway Authorizers

The AWS Serverless Application Model (AWS SAM) is an open-source architecture that you can utilize to create serverless applications on AWS. This framework includes AWS SAM template specification and AWS SAM command line interface (AWS SAM CLI). AWS SAM Template file is used to run on a single, executable, edited unit i.e your serverless application. The CLI gives commands which allow you to validate that AWS SAM template files are written related to the requirements, call Lambda functions locally, step-through debug Lambda functions, package and deploy serverless applications to the AWS Cloud, and more.

A lone property setting can be used to describe Amazon API Gateway Authorizers in the AWS Serverless Application Model SAM that also manage who can access your Amazon API Gateway APIs. AWS SAM widens AWS CloudFormation to offer a rationalized technique of describing the Amazon API Gateway APIs, AWS Lambda functions, and Amazon DynamoDB tables required by your serverless applications.

You can grant permission for your APIs by describing an Amazon Cognito User Pool or an API Gateway Lambda Authorizer as a property of your API inside your SAM template. AWS SAM is obtainable in all regions where AWS Lambda is available. To get more information on how to create serverless applications with AWS SAM, refer documentation and model on GitHub.

Every Hour Replication Intervals provided by AWS SMS

AWS Server Migration Service (SMS) is an agentless service that performs a simple and rapid process for you to relocate thousands of on-premises workloads to AWS from VMware vSphere and Microsoft Hyper-V domains. You can automate, plan, and trace growing replications of existing server volumes with the help of AWS Server Migration Service SMS that makes simple for you to blend with sizeable scale server relocations. AWS SMS will by default clone the existing server volumes to AWS and build Amazon Machine Images (AMI) as required. This AWS SMS service charges zero cost, you need to pay for only the AWS storage resources used during relocation. You can start and handle server relocation within clicks through the AWS Management Console.

This AWS SMS gives assistance for every hour replication intervals that allows users to further reduce the downtime while relocating on-premises servers to Amazon EC2. Earlier, users could only take within 12 and 24 hours as the interval for their incremental replications of existing servers. Hereafter, users will able to execute their incremental replication jobs hourly. This feature is available in all AWS Regions where AWS SMS is now obtainable.

With the help of Tags, control your IAM Users and Roles

AWS Identity and Access Management (IAM) is a web service which aids you safely manage access of AWS resources. AWS Identity and Access Management (IAM) can be utilized to handle who is verified (signed in) and approved (has permissions) to utilize AWS resources. You can create and organize AWS users and groups, and use authorization to accept and reject their access to AWS resources. IAM is a feature do not charge extra for your AWS account. You will pay only for use of any AWS services by your users.

Now, AWS Identity and Access Management (IAM) provides you an simplest way to control your IAM resources by allowing you to affix tags to your IAM users and roles known as IAM principals. These tags permit you to attach customizable key-value pairs to resources, offering preferable resource management for AWS services which assist tagging of AWS resources. As you can affix the project labels to roles, users get authorization to suppose those roles automatically. To get more information about tags addition to IAM users and roles, refer Tagging IAM Identities.

AWS Elastic Beanstalk assists for Node.js 10

AWS Elastic Beanstalk is a service that provides rapid and easiest technique to deploy your application on AWS. You don't have to waste the time or develop the proficiency as AWS Elastic Beanstalk delivers and runs the infrastructure and controls the application stack (platform) for you. Elastic Beanstalk automatically ranges your application up and down founded on your application's particular requirements with the simple variable Auto Scaling settings. AWS Elastic Beanstalk automatically manages the deployment, from capacity provisioning, load balancing, auto-scaling to application health monitoring, you just need to upload your code. AWS Elastic Beanstalk charges only for the AWS resources required to save and execute your applications, no extra charges required.

AWS Elastic Beanstalk services can be developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers like Apache, Nginx, Passenger, and IIS. Elastic Beanstalk applications using Node.js 10 can be developed now. The latest version of Node.js 10 offers improved stability and various enhancements like entire support for N-API (an API for building native Addons), time-travel debugging functionality through a new Visual Studio Code Extension and support for Inspector protocol. To get list of features offered with Node.js 10, visit the official Node.js 10 release announcement.