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Tag Archives: Amazon AWS

Batch Deployment in AWS Elastic Beanstalk

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Zero downtime deployment — i.e., making sure your application can be deployed without negative impact to your customers — is something most of us strive for. It is a prerequisite for successful continuous delivery, so you’re able to deploy at any time and never fear pushing a new release. ElasticBeanstalk, the Platform as a Service component of AWS, has great ...

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Getting started with AWS IAM

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Recently AWS announced that using IAM Roles with their EMR service will be mandatory as of June 30 this year. In this post I will show you how to setup the IAM basics when you are starting with AWS. When you are starting from scratch with your new AWS account then you will see the following management console. Choose the ...

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More advanced stuff with JMS and AWS SQS

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As you might know SQS in AWS SQS stands for ‘Simple Queue Service’. While playing around with it I recently found one of the reasons why it may be called ‘simple’. In two previous posts (here and here) I showed to use SQS as a JMS queue provider in combination with the Spring Framework. With this basic setup I decided ...

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Log Collection With Graylog on AWS

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Log collection is essential to properly analyzing issues in production. An interface to search and be notified about exceptions on all your servers is a must. Well, if you have one server, you can easily ssh to it and check the logs, of course, but for larger deployments, collecting logs centrally is way more preferable than logging to 10 machines ...

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Creating a Message Driven Bean with AWS SQS in Spring

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In my previous post I showed a simple example how to use AWS SQS with Spring Framework to put messages on a queue and to read them from the queue. In this post I go one step further and use Spring to create a ‘Message Driven Bean’ so each message that is put on the queue is picked up and ...

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Using AWS SQS as JMS provider with Spring

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Recently AWS published a new client library that implements the JMS 1.1 specification and uses their Simple Queue Service (SQS) as the JMS provider (see Jeff Barr’s post here). In my post I will show you how to set up your Maven project to use the Spring Framework to use this library. We will perform the following steps:     ...

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Working with Amazon S3 – Part I

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Introduction In this multi-part series, I am going to run you through Amazon S3 Service. In first part, you will see the basics of Amazon S3 Service and why one should use it. Later, we will walk through S3 Web Management Console, which is a website interface for S3. Next parts of this article will go through, accessing S3 programmatically ...

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AWS Lambda: An Introduction

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Many parts of a modern infrastructure are inherently event-driven or can be represented with an event-driven model. For example, we want to send welcome emails for new signups, scale our systems up or down whenever certain load metrics are hit, or send out notifications to the engineering team when new admin accounts are created for our system. All these tasks ...

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Running PageRank Hadoop job on AWS Elastic MapReduce

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In a previous post I described an example to perform a PageRank calculation which is part of the Mining Massive Dataset course with Apache Hadoop. In that post I took an existing Hadoop job in Java and modified it somewhat (added unit tests and made file paths set by a parameter). This post shows how to use this job on ...

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Route 53 Benchmark: The New AWS Geolocation’s Surprising Results

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Latency vs. Geolocation: Testing DNS configurations across multiple EC2 regions using AWS Route 53 If you’re using the AWS stack, you’ve probably been through this: Deciding which EC2 instance to fire up and which region to deploy them on is tricky. Some of you might have started multiple EC2 instances behind a load balancer – but that’s almost never enough. ...

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