Handling AWS CloudWatch Notifications with SNS

The Simple Notification Service is often overlooked when it comes to Managing Scale. It is actually one of the most useful services in the AWS backbone. This article will show you how you can leverage SNS to meet the demand on your Apps, as well as combining with CloudWatch.

Couchbase: NoSQL on the Cloud

Couchbase is an online real-time NoSQL database storage for an application. It is database packaged software.

Over half of Couchbase customers are hosting their Couchbase databases on Amazon cloud. Couchbase is using Amazon for their internal services, including QA and development, to make sure that the company living to their customers who are hosting their Couchbase over the Amazon cloud.

5 Things Toxic to DB Scalability Over the Cloud

Scalability is about application, architecture and infrastructure design, and careful management of server components.

If you’re using MySQL checkout 5 ways to boost MySQL scalability in the cloud-

  • Object Relational Mappers
  • Synchronous, Serial, Coupled or Locking Processes
  • Having No Metrics
  • One Copy of Your Database
  • Lack of Feature Flags

Disaster Recovery on AWS Cloud by Emind Systems

DR on AWS 1_ dilbertIn case of a disaster we would like to make sure that our applications are still up and running, while taking advantage of our failover hosting/cloud provider. The Disaster Recovery (DR) architecture is driven by the criticality of applications and data. The decision regarding what to back up and deploy eventually translates into ongoing costs that can be extremely significant. Every IT organization has its own high level policy guidelines. These policies are eventually translated into the policy deployed for each of the different applications the enterprise runs. The CIO and its team need to make sure they define both the high level policies and the actual budget that can be spent for DR matters.

Amazon DynamoDB Part III: MapReducin’ Logs

As a farewell to our DynamoDB Series, we’ll look at how DynamoDB relates to yet another trendy Amazon Web Service product, Elastic MapReduce, combining it with Hive and other AWS Services.

Why is the following infographic important? For one reason: To remind us that there’s not a single machine that is able to process a whole sample at once.

Lessons from Amazon RDS on Bringing Existing Apps to the Cloud

Its a common believe that Cloud is good for green field apps. There are many reasons for this, in particular the fact that the cloud forces a different kind of thinking on how to run apps. Native cloud apps were designed to scale elastically, they were designed with complete automation in mind, and so forth.

Expert Guide: Use Amazon RDS for Your MySql DB

Amazon offers a cloud-based relational database service called RDS. The first type of database available via RDS was MySQL. Now Amazon RDS also supports Microsoft SQL Server express, web, standard, and enterprise, as well as Oracle standard and enterprise editions.

This article contains information on how to set up MySQL Community and then connect to a MySQL RDS instance with phpmyadmin. If you are just starting with Amazon cloud, note that recently Amazon announced its release of a free tier for RDS.

Building Applications with DynamoDB: Overview and Best Practices

DynamoDB is the AWS cloud out-of-the-box NoSQL database service. Amazon cloud’s  customers can deploy their big data database tables in it and enjoy a fully managed service.

“Amazon DynamoDB is the fastest growing new service in the history of AWS.” Werner Vogles, Amazon CTO

This presentation brought to you by Matt Wood, Data-intensive Computing program manager at AWS. These slides introduce DynamoDB including how to get started,  its data modeling, the partitioning methods and analytics capabilities. If you  are considering what NoSql to use, DynamoDB is definitely one of the leading options.

Learn more: Enter DynamoDB – 9 Steps Manual

Keywords: Amazon AWS Cloud services, Amazon dynamoDB, Elastic Map Reduce, Database Partitioning, NoSql, Database Analytics, Big Data, Performance, data modeling