Amazon Web Service is now an India Subsidiary of the Amazon Group by the India's Ministry of Electronics and Information Technology

Amazon Web Service has now announced that Amazon Internet Service Private Limited now gains full empanelment for the Provider of the Cloud Services by India’s Ministry of the Electronics and Information Technology. AISPL initiates the marketing and resale of the Amazon Web Service Cloud services in India that has now accomplished Complete Cloud Service Provider empanelment. It has now succeeded the Standardization Testing and Quality Certification audit from the Indian Ministry of the Electronics and Information Technology for the Cloud Services provided by the Amazon Web Service Asia Pacific (Mumbai) Region.

Amazon Internet Services Private Limited now accompanies a list of approved providers that will meet predetermined government standards of security, availability, and quality. Amazon Web Service has now achieved 52 global security certifications, quality audits, attestations and assurance program that are already achieved such as SOC1, SOC2, SOC3, ISO 9001, much more and aws is also the first global cloud service that has completed all the audits and earned the status in India.

Many Government Organizations and nationalized banks in India has now accepted AWS cloud service and gained agility and speed innovation with the Amazon Web Service and Highly secure pay as you go cloud services.

The enlisting process consists compliance with the new Global security standards and guideline ISO 27017 and ISO 27018. You can visit the compliance webpage to get more information about the various compliance certifications and security that the Amazon Web Services has accomplished.

The Government organization can now benefit from the best in class technology from the Amazon Web Service Cloud to transform and provide high innovative citizen-centric services at a very reasonable cheap cost via a program such as the Smart Cities, Skill India, and Digital India. Amazon Web Service provides fully featured services for databases, machine learning, compute, networking, artificial intelligence, compute storage, IoT and much more from 46 availability zones on 17 geographic regions.

Peter Moore, Regional Managing Director at Amazon Web Service, Public Sector in the Asia Pacific based at AWS Singapore Office, said that they are delighted that AWS is now at full empanelment by Indian Ministry of Electronics and Information Technology. Indian Government is positively trying to promote E-Governance for encouraging citizens and empowering digital access and cloud- services for the agencies and public sector organizations. He also added that they are looking forward to furthering their engagement with Local, State and Central Government and public sector organization in India so that they can deliver them the wide number suite of the Cloud Services and innovative approach to speed up the deployment of the Digital services in the country.

When Amazon Web Service launched in the Asia Pacific (Mumbai) Region in June 2016 since then AWS India has 120,000 active customers including Shoppers Stop, Tata Motors, Future Group, NDTV, Future Group and Lupin. Such companies are receiving various services such as the E-governance applications, E-commerce platforms, Web Hosting, mobile applications, big data analytics and business applications such Oracle, Microsoft and SAP and many other. Amazon Web Service in India is growing rapidly and has become the norm in the technology center that is replacing traditional data centers into virtual data center which is Cloud Computing.

Amazon Redshift now introduces Late Materialization to improve performance for queries

Amazon Redshift now utilizes the late materialization to lessen the quantity of data scanned and enhanced the performance of queries with the implied filters. Late materialization row-level filtering decreases I/O for queries with filters by factoring and batching in the filtering of predicate before searching data blocks in the next column. Amazon Redshift with late materialization fetches a group of data CUSTOMER_STATUS_LEVEL and CUSTOMER_SINCE_DATE then implement the particular predicates. If the 10 percent of the CUSTOMER_DETAIL table rows content the predicate filters so as a result, Amazon Redshift can possibly save 90 percent of the I/O for the remaining columns that ultimately improves the query performance. 

Amazon Web Service Direct Connect is now available in Minneapolis, Bangalore and MN

Amazon Web Service Direct Connect is now based in two new cities Minneapolis, Bangalore, and MN, India. AWS Direct Connect is enabled with Global access where these sites can scope Amazon Web Service Resources in any Global Amazon Web Service Region. In the United States, Cologix MIN3, Minneapolis that gains the total Amazon Web Service Direct Connect sites in the country to 30. In the Amazon Web Service Management Console, Minneapolis will be under the home region of the United States East (Ohio). 

In India, the Net Magic DC2 Bangalore is the third city after Chennai and Mumbai for Amazon Web Service Direct Connect and it is in under the Asia Pacific (Mumbai) Region. The users can now organize a dedicated network connection from their platform to Amazon Web Service. As with any Amazon Web Service Direct Connect site, these sites adapt to the standard resiliency model that consists two customer covering devices per location that enables customers to based locally resilient connectivity and superfluous connectivity to the Amazon Backbone network. 

By utilizing the Amazon Web Service Direct Connect you can launch a private connectivity between the Amazon Web Service and the office, collocation environment, and datacenter which can ultimately decrease the network costs and thus you can increase the bandwidth throughput which delivers a more constant network experience than Internet-based connections. The connections are always made to the specific Direct Connect Location and you can operate at either 1 Gbps or 10 Gbps or you can work with the partner to connect at speed for less than 1 Gbps. 

Apache Spark is now integrated with Apache Hive 2.3.3, Apache Spark 2.2.1 and Amazon SageMaker on Amazon EMR release 5.11.0

Apache Spark 2.2.1, Apache Hive 2.3.2 and Amazon SageMaker can now be utilized with an integration with Apache Spark on the Amazon EMR releases 5.11.0. Apache Hive 2.3.2 and Apache Spark 2.2.1 now include several improvements and bug fixes. Amazon SageMaker Apache Spark is an open-source Spark library for the Amazon SageMaker which is a fully managed service which can deploy, build and train machine learning models at scale. It will allow interleaving Spark stages and stages that collaborates with Amazon SageMaker in the Apache Spark ML Pipelines that will enable to train models by utilizing the Spark DataFrames in the Amazon SageMaker with the Amazon delivered ML algorithms like XGBoost and K-Means clustering. Amazon EMR cluster can be created with release 5.11.0 by selecting release label “emr 5.11.0” from the Amazon Web Service Management Console, SDK or Amazon Web Service CLI. You can choose Apache Hive and Apache Spark to install such applications on the cluster. Amazon SageMaker Apache Spark Library is already integrated with when you install Spark. 

Amazon Elastic Container Service Scheduler now supports Circuit Breaking Logic

Amazon Elastic Container Service Scheduler now supports the Logic that checks how often the task is restarted if the regularly fail to launch. Earlier if any task had issues in the ECS image, network configuration, task definition that they could fail to become healthy when restarted by the Amazon Elastic Container Service scheduler. If there are frequent restarts the attempts by the Service Scheduler that could lead to the overall application performance degradation and obtain cost. Amazon Elastic Container Service scheduler now consist logics that examines for a task that continuously fails to become healthy after instantiation that increases the time between restart attempts that will ultimately stop the deployment and it also adds an event to the Amazon Elastic Container Service event messages so that the users can take corrective actions. It only works for the task that utilizes both the Amazon Elastic Cloud Compute and Amazon Web Service Fargate. 

Amazon Elastic Container Service now adds Elastic Load Balancing Health Check Grace Period

Amazon Elastic Container Service Schedule service now enable the users to define a grace period so that to avoid over soon shutdown of the newly instantiated tasks. Earlier if the Amazon Elastic Container Service task takes a lot of time to start then the Elastic Load Balancing health checks marks the task as unhealthy and the service scheduler will shut down the task prematurely. With the latest release, you can determine the health check grace period as the Amazon Elastic Container Service definition parameter. This will ultimately notify the service scheduler to ignore the Elastic Load Balancer Health checks for a pre-defined time period when the task is been instantiated. 

Amazon Workspaces now supports configuration of the storage and you can now switch between the Hardware Bundles with simple reboot

Amazon Workspace now making two features available which can simplify storage and you can easily switch between the hardware bundles. The users can now configure the storage of the Amazon Workspace as to how must storage it should get while you are launching them and you can also increase the storage for operating Workspace at any time. The hardware bundle can now be changed that the Amazon Workspace is operating on with just a simple reboot. You can move to the powerful bundle for a resourceful inclusive application or you can also select less powerful bundle for cost-effective means with all your applications, storage, and data stays the same. Amazon Workspace with the latest feature now delivers additional flexibility to support the various needs of the end users and at the same helping you to optimize the cost.

The feature of configurable storage lets you choose the root and user volume sizes when the Amazon Workspace is launched and then you can also increase the volume as you need with a limit of 1000 GB. All the data is secured and you can utilize the Amazon Workspace when the volume increased in size. But the volume sizes cannot be reduced when the Amazon Workspace is launched so that to ensure that the data is preserved.

The Hardware bundle switching feature you can now switch between the Performance, Value, Power or Standard hardware bundles as needed. You don’t have delete Workspace to create a new one and the storage configuration is preserved even when the configured storage utilizing the configurable storage feature. This feature is available in all the Amazon Web Service Region where the Amazon Workspace is available.

Amazon FreeRTOS now support for over-the-Air Update feature

Amazon FreeRTOS now offers support for an over-the-air update now in Beta. The users can update their Amazon FreeRTOS device securely remotely with security patches and feature enhancements. You should first login to the Amazon Web Service IoT Device Management console to get started. After doing this you have to then provide a firmware image and then choose the devices to update by selecting a code signing method and then schedule the update. The Amazon FreeRTOS code signing feature makes it convenient to verify the signed image on the device that makes sure that the code is not jeopardised during the update process. 

Amazon Web Service Beanstalk now supports Amazon CloudWatch Log Streaming

Amazon Web Service Elastic Beanstalk now permit you to automatically stream server logs and application directly from the Elastic Beanstalk that is managed by the Elastic Cloud Compute instances to the Amazon CloudWatch Logs log group. 

With this new release, you can now archive and monitor the Elastic Beanstalk application, custom log file and system. You can also set your alarms to make it convenient for you to take action on the particular log stream event that the metric filters extract. 

The Amazon CloudWatch logs agent installed on the Amazon Elastic Cloud Compute service in the environment launched metric data points to the Amazon CloudWatch service for each group as you configure. Each and every log group implements its own filter design to specify what log stream events to send to the Amazon CloudWatch as the data points. The Log streams that are on the same log group share the same access, retention and monitoring control settings. 

AWS Elastic Beanstalk can now configure to automatically stream logs to the Amazon CloudWatch services as mentioned in the Streaming CloudWatch Logs. Now AWS Elastic Beanstalk can now accelerate Amazon Elastic Cloud Compute Instances on demand when you have the feature enabled. 

Amazon Web Service Deep Learning AMIs now are available in Mumbai, Frankfurt, Singapore and Beijing

The Amazon Web Service Deep Learning Amazon Machine Image is now available in Mumbai, Frankfurt, Beijing and Singapore. The Amazon Machine Image now offers machine learning practitioners with the tools and infrastructure to speed up the deep to quickly start practicing and experimenting with the Deep Learning Models. 

The Amazon Machine Image consists of pre-built packages of deep learning frameworks including Keras and Pytorch, Apache MXNet and Gluon, Theano, Tensorflow, Torch, Microsoft Cognitive Toolkit, Caffe and Caffe2. If you want to enhance your model training and development then the Amazon Machine Image pre-configured with NVidia CUDA and cuDNN drivers and it is optimized for GPU acceleration on the Amazon Elastic Cloud Compute P2 and P3 instances. 

People are interested in the topics that are mentioned above are familiar with Machine Learning and Artificial Intelligence Solution which is allowed by Deep Learning such as Video Classification and Convolution Neural Network for Image, recommendation Engines Natural Language Interfaces and Speech Recognition. But it is not an always convenient task to set the environment, tools, and infrastructure to allow the data scientist, research scientist, deep learning hobbyist and machine learning practitioners to experience such technologies. There are some resources that will aid you to swiftly generate deep learning solutions whether you are a curious developer or an experienced data scientist waiting to get started.

Amazon API Gateway now supports the Tagging API stages

Tags can now be assigned to the API stages in the Amazon API Gateway. By utilizing the tag the customers can now conveniently track and categorize cost allocation for API request caching and invocation. A tag is a note that you are assigned to the API stage where it includes a value and a key. It is a metadata that can be assigned to the Amazon Web Service Resources. Tags are utilized to categorize and track resources that will differentiate from other tags in a single Amazon Web Service Account. 

Tags can be utilized to organize the resources and track Amazon Web Service Cost on a detailed level. You can manage your cost allocation for caching and request invocation that will be associated with the stage. When you tag a Department then it will be like Accounts to API stage and it displays in the Amazon Web Service Billing Management Console as the cost allocation tag. It can also be utilized for grouping and filtering usage and cost using the Cost Explorer. It can be removed, listed or assigned tags using the Amazon Web Service Management Console, API Gateway REST API and SDKs or AWS CLI. Tags will be only implemented for the stage resource. You can use maximum 50 tags with a key length of 128 Unicode characters and tag value of 256 Unicode characters. 

Amazon Web Service Organization has got some new enhancements

Amazon Web Service Organization can now be used to remove accounts from the organization more conveniently. The AWS organization console can be used to remove created accounts from the organization without any assistance from the Amazon Web Service Support. The accounts also that you will be removing can become a standalone account and you can run independently or can be invited to join another organization accounts. 

Amazon Web Service Marketplace now adds improved product detail pages

Amazon Web Service Marketplace is a managed digital catalog that has over 4200 software listing from which is more than the 1280 software sellers. AWS Marketplace has now introduced an improved product detail page for Amazon Machine Images based products. Customer will be able to easily navigate, improved clarity and readability with this new product page design. 

The customer will be able to see new design components include a short section that will feature new visual element and a header with navigational shortcuts. The new product detail page includes information boxes with hyperlink collections, pricing estimators and vendor recommendations. 

The Amazon Web Service Customers can now enjoy the benefits of a wide selection of product on all Amazon Web Service Marketplace that will easily be able to find information for usage, research, and comparison of each product. The customers can quickly search relevant information, frequently check what product information is available and understand product pricing while at the same time software sellers get the tools to excellently present the description and details of the products to the customers. The existing Amazon Web Service Marketplace sellers can view the new product detail page for any Amazon Machine Image product also including those deployed utilizing the Amazon Web Service CloudFormation Templates. 

AWS and NICE announced the availability of Desktop Cloud Visualization

Amazon Web Service and NICE have announced the availability of Desktop Cloud Visualization 2017 which is a next-generation remote and streaming visualization solution for remote access for 2D/3D applications over WAN or LAN networks. Desktop Cloud Visualization introduces enhanced and new features for on-premises deployments. On Elastic Cloud Compute instances the Desktop Cloud Visualization is now available for installation and usage within a customer’s Amazon Web Service Account at no additional charges. With Desk Cloud Visualization 2017 there is no upfront commitment or any long-term contract for usage on Amazon Web Service and you to have to pay only for the Amazon Web Service Resources usage as per standard AWS pricing model for storage, computing, etc. 

Amazon CloudWatch has now added support for EC2 Action in Alarms for using the Service Linked Actions

Amazon CloudWatch has now added support for utilizing the Service Linked Roles to deploy CloudWatch Alarms with the Elastic Cloud Compute Actions. A Service-linked Role is a typical type of IAM role that is connected directly to the CloudWatch. The Service-linked roles are pre-defined by the Amazon CloudWatch and consist all the permissions that the service needs to call other Amazon Web Service on the user's behalf. The service linked role in the Amazon CloudWatch sets up the CloudWatch Alarms that reboot, stop and terminate the Amazon Elastic Cloud Compute instance easily because you will not require to manually add the necessary permissions. 

Amazon Web Service Migration Hub gets Automatic Migration Updates

Amazon Migration Hub now automatically forwards the migration status updates to the applications detail page. With this latest features, the users can check the latest migration status for the databases and servers in the application migration without any necessity to refresh the page frequently. This will save you time and worry by viewing the latest migration status update in an accurate and timely manner. Amazon Web Service Migration Hub now delivers a single location to track the migration on multiple Amazon Web Service and partner solutions. By using the Migration Hub it permits you to select the Amazon Web Service and partner migration tools that will suit your needs and at the same time providing you the visibility to the status of migration on a varied portfolio of applications. This will enable you to progress updates on all the migrations, reduce the effort spent and time on the migration projects and conveniently troubleshoot and identify any issues. 

Amazon Web Service Serverless Application Repository offers simplified management and Deployment

Serverless Applications is widely known than it was expected to be because of its robust features and functions. The users of the AWS Lambda love the scalability, cost-effectiveness, and flexibility of this model with countless numbers of fix-ups and features are been added to it almost every day. Amazon Web Service is observing the need of the customer by trying to make the experiences more simplified and easy usability. Thus AWS introduced Serverless Application Model to make the process of deployment and managing the serverless application on the Amazon Web Service more Simplified. There are also many published serverless reference architectures for image moderation for chatbots, web apps, real-time stream processing, mobile backends, MapReduce, Image Recognition and Processing, IoT, and real-time file processing. 

Now Amazon Web Service wants to make it more convenient as possible for the AWS customer to deploy and discover serverless applications. AWS wants to enhance the Open Source Community that is among the Serverless apps, SAM and Lambda so that everyone can participate, share and benefit. 

Amazon Web Service Serverless Application Repository:-

AWS Serverless Application Repository is designed for consumers and producers of Serverless application this AWS Console component supports deployment, publishing, and discovery. Produces, AWS Partners, SaaS Providers, ISVs and Developers can now conveniently publish to the Repository. The Application should be in Serverless Application Model Format that is accompanied by the SPDX license identifier with options to share privately or globally. Source Code and other applications element can be stored in the GitHub or another source repository. 

Publishers:

If Serverless Application Model is already in used to build serverless application then now AWS is accepting the contribution. Serverless Application Model enables you to define the Amazon API Gateway API, AWS Lambda Functions and Amazon DynamoDB tables that are triggered by the uploads to S3 and API actions. The Serverless Application can utilize the third-party libraries as long as they are available under the open source license that is approved by the Open Source Initiative. The users will be able to utilize the resource-based IAM policies to control and manage the access to the application so that you can keep it private by granting cross-account access to selective people or you can make it public. 

Consumers:

The consumers can find and start utilizing the application from the Amazon Lambda Console. You can also check the status of each application in the Lambda console. All of this functions and features can be accessed from the Amazon Web Service Management Console, Rich Set of APIs and AWS Command Line Interface. 

The Amazon Web Service Application Repository is now available in Preview where you can publish and deploy the application in the Serverless Application Repository. Serverless Application Repository can be utilized to publish and deploy applications and you can share it with a team or the community by publishing it to the Amazon Web Service Serverless Repository.  

Amazon CloudWatch now introduces a new CloudWatch Agent that integrates with AWS System Manager

Amazon CloudWatch has now added a new CloudWatch Agent that is integrated with the Amazon Web Service System Manager for simplified management and deployment, logs into one agent and improves the observability of the Elastic Cloud Compute Instances and the Virtual machines by attaining in-guest system metrics. By using the State Manager or SSM Run Command you can now the deploy the agent on the Elastic Cloud Compute instance, hybrid environments or on-premise servers for collecting both Window and Linux Operating System Metrics and logs include events logs and Windows Performance Counters. 

Amazon CloudWatch Events now supports the Amazon Web Service CodeBuild as an Event Target

The Amazon CloudWatch Events now allows you to take an action quickly to configuration changes or application availability issues that will affect the security or performance by notifying the users of the Amazon Web Service changes in real-time. The users just have to write the rules to point out the events that are interesting to the application and what action can be taken when the rule matches the event. Amazon Web Service Codebuild project can be utilized as an event target to operating a build. AWS Codebuild is a managed build service that groups the source code, produces artifacts and runs unit test. 

Amazon Web Service Managed Microsoft Active Directory is now available in Asia Pacific (Mumbai) Region

AWS Microsoft Active Directory is now available in the Mumbai Region at Asia Pacific. AWS Microsoft Active Directory Allow you to utilized the highly available managed Microsoft Active Directory in the Amazon Web Service Cloud. Amazon Web Service Managed Microsoft AD is created on the actual Microsoft AD and it does not need any synchronization or to duplicate data from the existing Active Directory to the Amazon Web Service Cloud. By utilizing the Amazon Web Service Managed Microsoft Active Directory you can join the Amazon Elastic Cloud Compute Instances to manage domain easily and utilized the sign-on to access the Active Directory-aware service and applications in the Amazon Web Service Cloud. 

Amazon Web Service Catalog has now got new console enhancements

Amazon Web Service Catalog that is used by the system integrators, managed service providers and enterprises get a new enhancement to the Service Catalog console. This will help the user to launch and find products in the catalogue easily. The Amazon Web Service Catalog console now show detailed card with information in the products description such as the owner, distributor and description. You can search for various product metadata and can have simpler navigation that will concentrate on the Amazon Web Service Catalog actions and products. The console will provide a simpler experience with easy to use and responsive design to deliver better usability on various devices. 

Amazon Inspector Agent now allows you to see the availability and health status on Amazon Elastic Cloud Compute instances

Amazon Inspector now released a new feature in Preview Targets where it allows you to see if the Amazon Inspector Agent is installed on the Health status or on a targeted Elastic Cloud Compute Instance of that agent. Earlier, you could only view a list of all the Elastic Cloud Compute instance IDs that match the value and tag key that you are targeting in the security assessment. You couldn’t view whether the Amazon Inspector agent is installed or now or if that agent is healthy before but with the new release you can now do preview targets to see the availability and the health status. 

With Amazon Appstream 2.0 you can now tag to manage and track AWS resources

Amazon Appstream 2.0 has got a new support that now allows you to assign tags so that you can track and manage Amazon AppStream 2.0 images, stack, image builders and fleets. Amazon Web Service allows you to assign the metadata to the AWS resources in the form of tags. The Tags allow you to sort the Amazon AppStream 2.0 resources so that you can conveniently identify the purpose and also track cost. The users can list, remove and assign tags by utilising the Amazon AppStream 2.0 management console, API or command line interface. Tags have a corresponding value and a key that will allow you to assign up to 50 tags per AppStream 2.0 resource. 

Amazon API Gateway now support Amazon Cognito OAuth2 Scopes

Amazon Cognito OAuth2 Scopes can now use to define the part of the method-level authorization when utilizing the Amazon Cognito Authorizer in the Amazon API Gateway. This will make building APIs simple that supports the Cognito Oauth2 scopes by eradicated the requirement to build an Amazon Web Service Lambda Function that runs the authorization. A Scope will define the level of access to be given to a resource that an application has the permission to. Applications can use to request access to the APIs by containing a token with one or more scopes integrated inside it. API Gateway will then check if the API caller is permitted to access the API. 

Amazon Elastic Container Service and Amazon Elastic Container Registry are now available in Mumbai Region and Sao Paulo

Amazon Elastic Container Registry and Amazon Elastic Container Service are now available in the Asia Pacific (Mumbai) Region and South America (Sao Paulo) Region. Amazon Elastic Container Registry is a managed Docker Container Registry that makes it convenient for developers to deploy, store and manage Docker Container images. Amazon Elastic Container Service is high-performance and highly scalable container arrangement service that supports the Docker Containers and enables it to conveniently scale and run the containerized application on Amazon Web Service. 

Amazon CloudFront has got a new function that is Field-Level Encryption

Amazon CloudFront has now added a new function called Field-Level Encryption that will improve the security of the sensitive data such as security numbers or credit card numbers. Amazon CloudFront Field-level encryption will encrypt the sensitive data in an HTTPS form utilizing specific encryption keys before a POST request is sent to the origin. This will make sure that the sensitive data can only be viewed and decrypted by certain services or components in the application stack. There are so many web applications that gather sensitive data from the users and then such data is processed by the application services operating on the origin infrastructure. 

Amazon Workmail adds AWS CloudTrial Integration and Administrative SDK

Amazon Workmail has now released two new features which are AWS CloudTrial Integration and Administrative SDK. You can now natively incorporate WorkMail with the existing resources via Administrative SDK. The SDK allows the programmatic user, meeting room or equipment resource and email group management resource via API calls. With this new release, the existing IT service management tools, third-party applications, and workflows will automate management task and WorkMail migration. Amazon Workmail integration with AWS CloudTrail the users can now log, retain account activity and continuously monitor related to the actions on various AWS infrastructure including calls made to the WorkMail Administrative API and activity from the WorkMail console. 

With the New Quick Start you can now Deploy SAP NetWeaver on the Amazon Web Service Cloud

The New Quick Start now Deploys SAP environment on the Amazon Web Service Cloud with SAP HANA and SAP NetWeaver. SAP NetWeaver is a foundational component that delivers a group of technologies for running and developing SAP applications.  SAP applications and products such as SAP Business Warehouse, SAP Business Suite, SAP BQ/4HANA and S/4HANA depend on SAP NetWeaver. The new Quick Start now deploys SAP NetWeaver Application Server for Advanced Business Application Programming that supports the improvement of Advanced Business Application Programming applications for SAP HANA databases. 

AWS has now introduced Amazon Linux 2, the next generation Amazon Linux Operating System that delivers high performance, a secure and stable execution environment for enterprise and cloud applications. Amazon Linux 2 will provide extended availability of software updates for 5 years of long-term support for core operating system and will offer access to the latest software packages via the Amazon Linux Extras Repository. Amazon Linux 2 is now available at Amazon Machine Image for use on the Amazon Elastic Compute Cloud and as a Docker Container image can be utilized in any Docker-based environment that includes Amazon Elastic Container Service. Amazon Linux 2 is also available as a Virtual machine image for Microsoft Hyper-V virtualization solution for testing and development, VMware and Oracle VM VirtualBox. 

Amazon Web Service CodePipeline now adds support for AWS Fargate and Amazon Elastic Container Service

Amazon Web Service CodePipeline now supports deployments to AWS Fargate and Amazon Elastic Container Service; this will make it convenient to build a continuous delivery pipeline for the container based applications. Amazon Web Service CodePipeline will automatically call the described services to build docker images, update running containers and run test when the code change is pushed. AWS CodePipeline incorporates with many third parties CD/CI services so that Pipeline can be utilized with the existing tools. 

Amazon Web Service CloudTrial improves Event History Search and View

Amazon Web Service CloudTrial event history console page can be used to search, download and view the past 90 days account activity. The Display columns can be customized to enhance the view of the CloudTrial events. The Search time range has also increased by 90 days worth of activity where earlier only 7 days were permitted. This will enable to search a larger time range of activities that are recorded by the CloudTrial and offers visibility into action done via AWS management console, AWS CLI and SDKs. The AWS CloudTrial history page can be customized  as to what columns to be displayed in the console view. 

Amazon Elastic Container Service now supports CPU and memory limits at the Task level

In Amazon Elastic Container Service you can now set a limit to the resources available in a task that is operating on Amazon ECS. A task comprises a group of containers operating together on a single host. Earlier, you had to set a limit on resources for each container operating within a task individually. But now with this latest release, you can set a limit on the number of CPU and memory available to all the containers operating within a task that is managed by the Amazon Elastic Container Service. This makes it convenient to manage the task and it aids you to make task definitions compatible with both EC2 and Fargate launch types. 

With AWS Fargate you need not manage infrastructure to run containers

Developers benefit from the containers to build, deploy and package the application in a powerful way. Amazon Web Service has hundred thousand active Elastic Container Service and hundreds of millions of new containers are started every week. Since 2016 there has been a 400% customer growth that shows that many developers seek out for Amazon ECS Service. 

Container orchestration solutions like Kubernates and Amazon Elastic Container Service makes it convenient to scale, deploy and manage such container workload that increases the performance. But after having all these features you will be requiring capacity, maintenance and availability of the infrastructure thus Amazon Web Service has announced AWS Fargate to eradicate excess workload. AWS Fargate will allow you to take full advantage of the immutability, agility, and speed that containers provide so that the users can concentrate on creating application instead of managing infrastructure. 

What is AWS Fargate?

AWS Fargate is a convenient way to deploy containers on the Amazon Web Service. Fargate is similar to Elastic Cloud Compute but AWS provides a container instead of a virtual machine. AWS Fargate is a technology that will allow you to use the containers as the basic compute primitive without any need to manage the instances. 

What does AWS Fargate do?

AWS Command Line Interface makes it simple to launch AWS Fargate task. It has become convenient to use the console to generate task definitions and operate task with the Fargate Launch type. You have to create a container image and specify the memory requirements and CPU requirements by defining the IAM and networking policies and then launch. You will have the flexible configuration options so that you can match the application requirement and you have to pay only for per-second granularity. You can select compatibilities between Fargate and EC2 for the task definition, as to where you want to launch the task. After that, you have to enter necessary information as to what cluster you want to run the task definition and number of copies of the task to run. There are also advanced options that will give you an option of implementing container overrides or the task particular container instances. Once you launched a task then you will be then seeing them running in the cluster.

You can still utilize all the Elastic Container Service primitives, AWS and API integrations. Amazon Virtual Private Cloud, Amazon CloudWatch, Access Management, AWS Identity and Load Balancers are native integration AWS Fargate provisions. AWSVPC networking is used by the Fargate task to provide an Elastic Network Interface in the Virtual Private Cloud to communicate securely with the resources.

Elastic Cluster Service is varied where they can include task operating in the EC2 or Fargate. You can find some additional details if you look closely at the task such as the ENI that Fargate delivers in the Virtual Private Cloud and all the containers that are utilized by that particular task. The logs section also gives access to the CloudWatch logs for that particular task as well. 

Price-Model:-

Amazon Web Service Fargate follows on-demand pricing model.  You have to pay per-second for the number of memory resources and vCPU consumed by the applications. Price per vCPU is $0.0506 per hour and per GB memory is $0.0127 per hour. 

Fargate can be configured to meet the application resource requirement and only pay for the resources consumed by the containers. This can be launched in thousands of containers in seconds. AWS Fargate task operates similarly to the task operate on Elastic Cloud Compute. This can be added to the Virtual Private Cloud and can configure load balancers and assign IAM roles. 

AWS Deep Learning AMIs now support Apache MXNet, PyTorch, Keras and New Version of Tensor Flow

With the latest of Amazon Web Service Deep Learning now supports Apache MXNet 1.0 that includes a new model offering the capability for MXNet that runs, packages and delivers deep learning models with just a few lines of the code. It also consists of a new gradient compression capability and a new model converter that alters the neural network code written with the Caffe Framework to Apache MXNet code that makes it convenient to take benefits of MXnets performance and scalability. The Amazon Machine Image also now supports NVIDIA Volta that includes PyTorch v0.3.0 and supports cuDNN 7 and NVIDIA CUDA 9 with enhanced training models on NVIDIA Volta GPUs and loaded with significant performance.     

The New Quick Start now deploys Couchbase on the Amazon Web Service Cloud

You can now deploy Couchbase Data Platform on the Amazon Web Service Cloud with the new Quick Start. The enterprise-class Couchbase Data Platform is designed to fuel engaging mobile, web applications, IoT with the power which includes Couchbase Mobile and Couchbase Server. Couchbase Server is a Cloud native NoSQL database developed with an extended architecture for availability, scalability and performance. It allows the developers to generate applications by accelerating the power of SQL with the flexibility of JSON. Couchbase Mobile consists of a fully incorporated built-in security, embedded database and real-time automated sync with the highly scalable Couchbase Data Platform server. 

Amazon Aurora with MySQL compatibility now supports Batched Scans and Hash Join

Amazon Aurora with MySQL compatibility has now added support for Hash Join to accelerate the speed of equijoin queries. Aurora’s cost-based optimizer can now decide when to utilize Hash joins automatically and the user can also force their utilization in a query plan. Hash Joins enhances the latency of queries for internal testing in a decision to support the benchmark when utilizing a cold buffer pool by up to 8.2x on an R3.8x large instance. Batched Scans accelerates speed in-memory queries by a factor up to 1.8x. The features are available in the lab mode on Amazon Aurora MySQL version 1.16.

Amazon Cloudwatch Alarms now triggers when any M out of N metric cross the limit of the threshold

Amazon Web Service has announced that Amazon CloudWatch Alarms now supports when any M out N data points crosses the alarm threshold the Alarm gets triggered. A Data point is said to be the value of a metric for a given metric aggregation period that is if you utilized one minute as an aggregation period for a metrics then it will be one data point every minute. With this release, the user can now generate a CloudWatch Alarm that will alert you when the M out of N data points of a metric that is above the pre-defined threshold such 3 out 5 times in any given 5 minutes interval. When any M out of N datapoint of the metric is below the threshold in an interval the alarm will not be triggered. 

Amazon ECS and AWS Fargate are now included in the Amazon Compute SLA agreement

Amazon Compute Service Level Agreement has now added Amazon Elastic Container Service and Amazon Web Service Fargate for 99.99% availability and uptime. Earlier, the Amazon Compute Service Level agreement only covered uptime availability for the Amazon Elastic Cloud Compute instances utilized to operate containers.  The task operated by the AWS Fargate and Amazon Elastic Container Services are now covered by the Amazon Compute Service Level Agreement with a 99.99% commitment to availability and uptime of the service. If the in the event the commitment is not met the user then they will be eligible for a service credit. 

Amazon CloudWatch Logs now have added KMS Encryption support

Amazon CloudWatch has now added a new support for CloudWatch Logs which is KMS Encryption that will allow you to encrypt the logs utilizing the keys managed via the AWS Key Management Service and Customer Master Key. When you are creating the log group the encryption is enabled at the log group level by integrating with CMK with a log group. After it is integrated with CMK with the log group a newly ingested data for the log group will be encrypted by using the CMK. The data will be stored in the encrypted format till the retention period. You can decrypt the data via CloudWatch Logs upon request. 

Amazon Appstream 2.0 Agent Updates can now be automated on the Streaming instances

The Amazon Appstream 2.0 agent is software that operates on the streaming instances and allows application streaming. Earlier, the agent updates were included in the new base image releases provisioned by the Amazon Web Service. You had to re-create the images by using the new base images to use the latest agent software with the streaming instances. But now you can allow the images to use the latest version of the AppStream 2.0 agent. This allows automatic updates for the AppStream 2.0 agent that helps to make sure that the streaming instances always include the latest security updates, performance improvements and latest features available from Amazon Web Service. 

Amazon Simple Email Service adds Custom Emails Verification

The Emails can now be customized that Amazon Simple Email Service sends when it’s verifying new identities. This function is very beneficial for developers whose applications send an email via Amazon Simple Email Service on behalf of the customers. You can improve the rate of the new customers complete the onboarding process and can also reduce the customer confusion by altering the verification email to match the branding and style of the application. Amazon Simple Email Service is now available in the AWS Regions such as US East (N.Virginia), US West (Oregon) and EU (Ireland). 

Amazon Web Service now introduced AWS Single Sign-On

Amazon Web Service has now announced AWS Single Sign-On which is a Cloud Single Sign-On Service that makes it convenient to mainly handle the Single Sign On access to various business applications and AWS accounts. It allows the users to sign in to the user portal with the existing corporate credentials and can access all the assigned applications and accounts from one place. With Amazon Web Service Single Sign-On Service you conveniently managed user permission and SSO access to all the accounts in the AWS organizations centrally. AWS SSO application configuration wizard can utilise to build Security Assertions Markup Language 2.0 integrations and can expand the Single Sign On access to any of the SAML enabled applications. 

Amazon Web Service Free Tier has now added alert notification when the user exceed the AWS service usage limits

Amazon Web Service Free Tier allows you to gain free practical experience with the Amazon Web Service platform, service, and products. AWS budgets enable the customers to maintain their AWS usage and cost by generating custom budgets that notify you if the limit is breached. With the new release, the users can now automatically track AWS Service usage that comes under the Amazon Web Service Free Tier and will send you email alerts if the AWS Free Tier usage limit is breached which is set by you. 

Amazon Elasticsearch Service now supports Elasticsearch 6.0

Amazon Web Service announced the immediate availability of Elastic search 6.0 and Kibana 6.0 on the Amazon Elasticsearch Service. Amazon Elasticsearch is an open source analytics and also a search engine for full-text speech, log analytics, application monitoring which is widely popular. Amazon Elasticsearch Service provisions Elasticsearch’s easy to use real-time functions and APIs with the scalability, security, and availability that are needed by the production workloads. Amazon Elasticsearch 6.0 is very easy to get started with which is available in the AWS Free Usage Tier. Amazon Elasticsearch 6.0 is also available in Asia Pacific (Mumbai) Region. 

The new Quick Start Deploys a Standardized environment for Criminal Justice Information Services Security Policy

The New Quick Start now deploys a Standardized environment that aids in supporting the necessity for the Criminal Justice Information Service Security Policy version 5.6. Such requirements usually implement to systems that have to go through authorization process and formal assessment to make sure sufficient protection of integrity, availability, and confidentiality of information and information systems which is established on the impact level of the system and based on the security category and risk determination. Quick Start will aid organization gets started but additional work will be required for full alignment to the Criminal Justice Information System Security Policy.

Amazon Web Service has announced three new features for Amazon Inspector to simplify the service

Amazon Web Service announced three new improvements that make it convenient to get started with Amazon Inspector and operate security assessments. The users automatically configure the Amazon Inspector Assessments via AWS CloudFormation as the Amazon Elastic Cloud Compute instances that are deployed. The next step is to choose Amazon Linux Amazon Machine Image preinstalled with the Amazon Inspector Agent and operate security assessments without the need to manually install the agent.  The Amazon Inspector now utilizes the Access Management service linked roles and AWS Identity so that means you can leave management and registration of IAM roles for Inspector to us. 

AWS CloudFormation Support:-

Amazon Inspector resource group, Assessment templates and assessment targets can be now created by using the CloudFormation Templates. This will enable the users to automatically configure security assessments for the Elastic Cloud Compute instances as they are deployed. In the Amazon Cloud Template, you can also reset installation of the Inspector Agent on the Elastic Cloud Compute instances using the Agent Installation commands in the EC2 user data or AWS CloudFormation. An EC2 instance can be created in the CloudFormation template by utilizing the Amazon Machine Image with the Inspector Agent pre-installed. 

Amazon Linux Amazon Machine Image with the Amazon Inspector Agent:-

When you are launching EC2 instances you can choose Amazon Linux 2017.09 Amazon Machine Image that is pre-installed with the Amazon Inspector Agent. Amazon Machine Image is now available on the Elastic Cloud Compute Console and the AWS marketplace allows you to quickly deploy a fleet of Elastic Cloud Compute instances that are ready to operate Inspector assessments. The Amazon Machine Image comes with a pre-installed with the Amazon Inspector Agent and is supported and provisioned by Amazon Web Service with no additional charge. 

Service-Linked Roles:-

Amazon Inspector now uses the IAM service linked roles to define EC2 instances and tags for an assessment target where you no longer have to build and registers customers when they start using the Amazon Inspector and for the existing customers when the generate a new assessment template or assessment target. 

Amazon Route 53 has now introduced Auto Naming API for Discovery and Service Name Management

The Amazon Route 53 customers can now utilize Auto Naming API to automate the registration of micro-services in Domain Name System. The new API management of Domain Name System health checks and name for microservices is simplified that operates on top of Amazon Web Services when microservices scale down and up. Earlier, to keep a record of the locations and names of microservices fleets that scale down and up in real time and you had only two choices. Either to maintain the custom scripts to control directly the Domain Name System and health check or you had to manage and deploy third-party software. Amazon Route 53 Auto Naming eradicate the difficulty of managing health checks and Domain Name System by offering a set of APIs for service instance management and service naming configuration. 

Amazon IoT Rules Engine has now added Support for Error Actions

The customer can now secure and protect the IoT applications by configuring a backup action to operate the event of the user's primary rule action fail. Amazon IoT Rules Engine also implements the error information also links the error information to the message payload distressed. This feature can be used to make sure that the message data is managed in the context of the error or tracked to the backup resource. Error Action can be utilized to manage a range of service and user error conditions such as unavailability of services, or insufficiently supply of downstream services. Amazon IoT Rules Engine is an integral part of Amazon Web Service IoT Core which is a managed cloud service that permits connected devices securely and easily with cloud applications and other devices. IoT Rules Engine reviews inbound messages that are launched into IoT Core and alters and provides them with another device or a cloud service that is established on business rules that are defined. 

Amazon Light now supports Load Balancers with Incorporated Certificate Management

Amazon Lightsail now added load Balancers to make cloud platform easy to use by allowing the developers to create highly available scalable applications and websites quickly and easily. The Load Balancers can be launched in minutes which are ready to route traffic and fully configured to LightSail instances for a predictable and low price of $18 per month. 

Amazon LightSail Load Balancers enables customers to conveniently generate and maintain secure applications that implements HTTPS traffic with free TLS/SSL intuitive and certificates that are built-in certificate management. Amazon Lightsail Load Balancers allocate traffic over attached target instances with automated health checks that make sure that traffic is sent only to the healthy instances. Traffic getting allocated on various instances the customers can utilize the uptime of websites and applications. 

With the Attached instances and Lightsail Load balancer, the applications can also handle the increase in traffic and also maintain the performance of users during the peak load times. The Lighsail console provides a simple interface for handling certificates and load balancers while powerful and simple Lightsail API can be used to fully manage the resources programmatically. 

Amazon Lightsail load balancers and certificate management is now available in Asia Pacific (Mumbai), Asia Pacific (Sydney), Asia Pacific (Singapore), Asia Pacific (Tokyo), US East (N. Virginia), US West (Oregon), US East (Ohio), EU (Ireland), EU (London) and EU (Frankfurt). 

The New Quick Start has now added Security Configuration to Support Center for Internet Security Amazon Web Service Foundations Benchmark

The New Quick Start now deploys a Standardized environment that supports conformity with the CIS Benchmark for Amazon Web Service Foundations. The new Quick Start was created by the Amazon Web Service Solution architects and compliance experts in association with Accenture which is an AWS Premier Consulting Partner. Center for Internet Security Benchmarks is consensus-based setting up guideline built by experts in US business, academic institution, industry, and government to help organizations enhance and assess their security. 

Quick Start applies CIS Amazon Web Service Foundations Benchmark which is a security configuration best practice for managing AAWS accounts and delivering continuous monitoring capabilities for such security configurations. Best Practices that is available for the Amazon Web Service Users with step by step assessment and implementation procedures. Quick Start aims at implementing core AWS security measures straightforward for AWS account owners and security teams. Security Configuration is implemented by the Quick Start to support the Center for Internet Security AWS Foundation benchmark by generating Amazon CloudWatch Alarms, AWS Config rules and CloudWatch events in the Amazon Web Service account. 

The Customizable AWS Cloud Templates and scripts automatically deploy that is configured and build the environment in 10 minutes. Quick Start is an automated reference deployment for essential workloads on the Amazon Web Service Cloud. It configures, runs and launches the AWS network, storage, computes and other services that are needed to deploy specific workload on AWS cloud. 

Amazon Web Service announces contribution to the milestone 1.0 release and introduces new model serving function

Amazon Web Service has announced that they have added a contribution to the milestone 1.0 release of the Apache MXnet Deep Learning Framework and also have introduced Model Serving Function. Apache MXnet is convenient to use and it is a modern open-source deep learning framework that is used to deploy and train deep neural network which helps to support multiple computer languages and flexible programming. 

The Model serving function for MX net runs, packages and delivers deep learning models quick with just few line of code that makes them accessible on the internet through the API endpoint and thus it become more convenient to incorporate into applications. The Milestone 1.0 release consists of an advanced indexing capability that allows the users to run matrix operations in an instinctive manner. With this latest release, there are other features such as decreasing the communication bandwidth between the computer nodes without loss in unified accuracy or rate. 

The Developers can easily take advantage of MXnet’s performance and scalability because of the new tool for converting neural network code inscribed with the Caffe framework to MXnet code. It is very simple to get started with MXnet and if you want to learn more about the new Gluon interface for the Apache MXnet Deep Learning then you can click here to get more information (http://gluon.mxnet.io/). This link contains all the information from the introduction or basics of deep learning to how to apply cutting-edge neural network models. 

Amazon Web Service introduced Amazon Sumerian to create Virtual Reality, augmented reality and 3D applications quickly

A lot of Tech Evangelist was waiting for AWS re-invent for releasing new services related to mixed reality, virtual reality and augmented reality and it did justice when the conference kicked off. Amazon Web Service announced Amazon Sumerian which is a new platform for developers to host and generate 3D apps; Augmented Reality and Virtual Reality quickly with minimal coding for tablets and smartphones, digital signage, head based displays and web browsers. Amazon Sumerian is free for usage and you have to pay only for the storage that you have created.

Amazon Sumerian was announced at the Amazon Web Services Midnight Madness pre-show event and it is available for preview. It is Browser-based and operated in any browser that supports WebVR and WebGL graphics rendering such as HTC vive, iOS mobile devices, Daydream and Oculus Rift.

There are different features in Amazon Sumerian preview that consist of the ability to design 3D applications, Virtual Reality and Augmented Reality immersive environments using the library of pre-built objects. You can build animated characters using the Lex Speech Recognition and Polly for natural language understanding and then you can ship the apps to different hardware. It also in cooperates with third-party developers for certain features that consist of Mapbox for location services.

The name Sumerian is chosen for this Amazon Service because it is a language of the Sumer People of Mesopotamia which is a great choice and it suits the Amazon’s Concept. It is the world’s first written tongues and it is the basis of the many languages that are followed. Amazon Sumerian is built in such a way that it delivers 3D Applications, Virtual Reality and Augmented Reality with tools that are very easy to use.

Virtual Reality and Augmented Reality technologies are used by the Customers for many purposes an in training and educating employees and generating new customer experiences but it was difficult to do all this because of specialised skills, tools and investment needed to build AR and VR application. But now with Amazon Sumerian, the customers need not worry much about the tools, skills, and investment needed to create an interactive, realistic AR or VR application in just a few hours by offering pre-configured objects to create applications quickly with less coding to cover.

Amazon Web Service has also added the body scanning start-up GameSparks and Body apps which is a platform for creating games. Amazon is coming forth in the position of Virtual Reality and Augmented Reality and the new way of Cloud Computing. Amazon will help in focusing on a very practical realistic in nature by providing enhanced online shopping experiences, training simulations, virtual house or land tours and virtual concierge services.

AWS is bringing in a lot of services in various areas to simplify new computing applications. It concludes that Amazon Web Service is coming forward to make technology more easy and less time consuming which will ultimately become a default platform for building application on the new tech.