PCI-DSS is one of the most important certifications in cloud computing. This certification proves that your platform is following the best practices in order to manage credit card data. It is about enforcing standards to apply, but not the tools to use which is a client‘s choice.
There are four PCI compliance levels, which are determined by the number of transactions the organisation handles each year. Here is a detailed explanation that can be found here.
In this short paper I would like to share my experience in putting in place EMR, the goal is to explain the key points for this service, and allow you to go fast to launch it. The source code is available [here] for you.
EMR or Elastic MapReduce, is an AWS managed service acting like a toolbox. It allows you to launch easily a cloud-native big data platform, using open source tools, like Apache Spark, Apache Hive, Apache HBase, Apache Flink, et Presto etc … For more details, you can find the AWS documentation [here].
I would like to begin by thanking Christian Nuss the author of this [project]: this was my starting point, and it helped me a lot to implement mine. So many thanks!!!. …
One of the common issues when using a persistent volume solution in Kubernetes, like GlusterFS, is to start running out of storage capacity in your cluster, and you have to find a smooth way to increase volume size without losing your data. In this short article I will show you two ways of doing it.
Before going deeper, let me introduce you the context and some terminologies that will be used throughout this article.
From official websites:
“Gluster is a scalable, distributed file system that aggregates disk storage resources from multiple servers into a single global namespace”.
“Heketi provides a RESTful management interface which can be used to manage the lifecycle of GlusterFS volumes”. …