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Experience required for the Job: 4 - 6 years Annual Salary of the Job: Job Location: Chennai, Noida Excellent Opportunity with Birla soft (India) Ltd for  Java professionals at Chennai/Noida location. Company profile: Birlasoft a Software Application Development and Service provider is a part of the Global $ 1.6 Billion CK Birla Group and having 20,000 employees across the globe. Birlasoft is a part of GE Capital Strategic Partnership Program. Birlasoft offers IT services across the Globe, with operations in Bangalore, Chennai, Hyderabad and 3 centers in Noida. We have our Global operations in USA, UK, Asia Pacific, and Middle East. We are appraised at CMMI-DEV and CMMI-SVC V1.3 Level 5. Skills required - Java, Python, AWS, EMR Experience: 4-6 years Work Location: Chennai/Noida Job Description: 4-5 years of IT experience Strongs development experience on AWS EMR, Lambda, S3 services. Strong development skills in Java/Scala or Python Strong development experine...

So your are in How to Run a Relational Database on AWS fresher tutorials. As you begin determining your database strategy on AWS, we recommend using Amazon Relational Database Service (RDS). Amazon RDS makes it easy to set up, operate, and scale your database in the cloud. 3 Easy things to learn how to deal with RDS: 1.Easy to Administer: Automate time-consuming tasks including, deployments, backup and recovery, encryption, resizing, and patching. 2. Highly Scalable: Scale your database's compute and storage resources with only a few mouse clicks or an API call. 3.Secure: Easily control network access, isolate your database instances, and connect to your existing IT infrastructure via encrypted IPsec VPN. How many types of Amazon RDS Database Engines are there ? Six familiar database engines, including Amazon Aurora (Amazon's fast and cost-effective, MySQL and PostgreSQL-compatible relational database), MySQL, PostgreSQL, SQL Server, Oracle, and MariaDB. 

Here is a simple 5 steps tutorial, you will learn how to set up asynchronous messaging with Amazon Simple Queue Service (Amazon SQS). Amazon SQS is the AWS service that allows application components to communicate in the cloud. You will use the Amazon SQS console to create and configure a message queue, send a message, receive and delete that message, and then delete the queue. Step 1. Enter the Amazon SQS Console •The AWS Management Console will open in a new browser window, so you can keep this step-by-step guide open.  When the screen loads, enter your user name and password to get started. Then type queue in the search bar and select Simple Queue Service to open the console. •If the SQS console landing page appears, as shown on by the screenshot, click Get Started Now. If you don't see this page, skip to the next step. Step 2. Create an Amazon SQS Queue In this step, you will create and configure an Amazon SQS queue. A queue is a reliable, highly-scalable...

Amazon EC2 Systems Manager Run Command now supports additional access control with tag-based permissions and multi-tag targeting.  Previously, you could only restrict Run Command access based on instance IDs, which required manual permission updates as your environment scaled up or down. Now, you can control Run Command access based on instance tags using your existing AWS Identity and Access Management (IAM) policies. For example, you can tag instances based on business units and only allow access to those instances to members of that business unit. When new instances are launched with tags, the corresponding IAM permissions are automatically applied.  In addition, you can now target instances using multiple tags. Previously, you could only target instances with Run Command using one tag and one value, but many instances are identified by multiple tags. For example, now you can send a command to instances tagged as production and webservers, to instances in a test ...

The AWS Deep Learning Amazon Machine Image (AMI) is designed to help you build stable, secure, and scalable deep learning applications on AWS. The AMI comes pre-installed with popular deep learning frameworks. It has GPU drivers and libraries that let you train sophisticated AI models and scale them in the cloud.  The latest release of the AWS Deep Learning AMI is available for Ubuntu and Amazon Linux platforms. The AMI includes several updates, the most notable of which is MXNet 0.11 with Keras Support. MXNet is now available as a backend choice for users running Keras 1.2. MXNet gives you a simple way to set up multiple GPUs for training and superior performance that scales near-linearly. To read more about the benefits of using MXNet as a backend for Keras, refer to NVIDIA’s blog. The AMI also now runs with latest version of TensorFlow , which is version 1.3.0.

Amazon EC2 Spot now allows Amazon EBS-backed instances to be stopped in the event of interruption, instead of being terminated when capacity is no longer available at your preferred price. Spot can then fulfill your request by restarting instances from a stopped state when capacity is available within your price and time requirements. 1). To use this new feature, choose “stop” instead of “terminate” as the interruption behavior when submitting a persistent Spot request. When you choose “stop”, Spot will shut down your instance upon interruption. 2) .The EBS root device and attached EBS volumes are saved, and their data persists. When capacity is available again within your price and time requirements, Spot will restart your instance. 3) .Upon restart, the EBS root device is restored from its prior state, previously attached data volumes are reattached, and the instance retains its instance ID.   4). This feature is available for persistent Spot requests a...

How to start with Lambda in AWS is quite simple. Here i will show you how to   Run Lamba without using any Servers"Hello, World!"with AWS Lambda you will learn the basics of running code on AWS Lambda without provisioning or managing servers. Here we will walk through how to create a Hello World Lambda function using the AWS Lambda console. And will then show you how to manually invoke the Lambda function using sample event data and review your output metrics. Step 1: Enter the Lambda Console When you click here, the AWS Management Console will open in a new browser window, so you can keep this step-by-step guide open.  Find Lambda under Compute and click to open the AWS Lambda Console. Step 2: Select a Lambda Blueprint Blueprints provide example code to do some minimal processing. Most blueprints process events from specific event sources, such as Amazon S3, DynamoDB, or a custom application. a. In the AWS Lambda console, select Get Started Now. If ...

So here is 7 Simple steps How to  start working with Amazon Redshift Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. An Amazon Redshift data warehouse is a collection of computing resources called nodes, which are organized into a group called a cluster. Each cluster runs an Amazon Redshift engine and contains one or more databases. If you are a first-time user of Amazon Redshift, we recommend that you begin by reading the following sections: Amazon Redshift Management Overview This topic provides an overview of Amazon Redshift. Service Highlights and Pricing This product detail page provides the Amazon Redshift value proposition, service highlights, and pricing. Amazon Redshift Getting Started This guide provides a tutorial of using Amazon Redshift to create a sample cluster and work with sample data. This guide is a tutorial designed to walk you through the process of creating a sample Amazon Redshift cluster. You can...

You may stuck at Host a Static Website in Amazon Web Services(AWS). Here is a brief description to evaluate. Suppose you want to host your static website on Amazon Simple Storage Service (Amazon S3). You have registered a domain, for techprozetta, techprozetta.com, and you want requests for  http://www.techprozetta.com  and  http://techprozetta.com  to be served from your Amazon S3 content. Whether you have an existing static website that you want to host on Amazon S3 or are starting from scratch, use this techprozetta to learn how to host websites on Amazon S3. Before you Begin: As you walk through the steps in this techprozetta, you work with the following services: Domain registrar of your choice If you do not already have a registered domain name, such as techprozetta.com, you need to create and register one with a registrar of your choice. You can typically register a domain for a small yearly fee. For procedural information about registering ...