Cloudera Altus Director helps you deploy, scale, and manage Cloudera clusters on AWS, Microsoft Azure, or Google Cloud Platform. Altus Director both enables and enforces the best practices of big data deployments and cloud infrastructure. Altus Director’s enterprise-grade features deliver a mechanism for establishing production-ready clusters in the cloud for big data workloads and applications in a simple, reliable, automated fashion. In this post, you will learn about new functionality and changes in release 6.1.
Cloudera Altus Director provides the simplest way to deploy and manage Cloudera Enterprise in the cloud. It enables customers to unlock the benefits of enterprise-grade Hadoop while leveraging the flexibility, scalability, and affordability of the cloud. It integrates seamlessly with Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure, and provides support to build custom plugins for other public or private cloud environments.
While automating the provisioning of a cluster on the cloud using Altus Director,
In part 1 of this two-part series, we discussed how Cloudera Altus cloud services put you, the Cloudera Altus customer, in control of your cloud resources. In that blog post, we described the problems and solutions in a cloud provider independent manner and then showed the solutions with Azure. In this second blog post, we’ll look at the solutions using AWS.
We previously introduced two control problems: the infrastructure construction problem (how do Cloudera Altus cloud services allow you to have precise control over how they build and manage a cluster for you);
Cloudera Director 2.8 introduces a simpler way to create clusters in AWS or Microsoft Azure that requires less information to get started than the standard procedure. A new configuration export capability enables retrieval of a client configuration file for any cluster as a starting point to create new clusters.
Cloudera Director helps you deploy, scale, and manage Cloudera clusters in AWS, Microsoft Azure, or Google Cloud Platform.
We are excited to announce the general availability of Cloudera Altus SDK for Java to programmatically leverage the Altus platform-as-a service for ETL, batch machine learning, and cloud bursting. Altus empowers customers and partners alike, to run data engineering workloads in the cloud, leveraging cloud infrastructures such as AWS. Cloudera Altus also provides the ability to create data engineering pipelines using both a web console and CLI.
Cloudera Altus SDK for Java was developed to provide easier programmatic access with the popular Java programming language so that users can automate their data engineering workloads.