NetApp, a provider of high-performing data storage systems, has been working on adjusting its offerings to the requirements of NoSQL databases (such as MongoDB). As a result, the company now offers two MongoDB-certified flash storage solutions. Altoros joined the effort to evaluate these products.
This blog post reveals some of the performance results for the MongoDB integrated architecture deployed to NetApp E-Series.
Altoros is bringing its knowledge to the biggest and greatest event of the Cloud Foundry community: the Cloud Foundry Summit in Santa Clara, CA. Thousands of attendees get together every year to share their experience, as well as learn, connect, and discuss Cloud Foundry and DevOps in general.
This year, three training sessions will be held, explaining how to deploy and manage Cloud Foundry, go cloud-native with microservices-based architectures, operate the platform with BOSH, etc. The training will be conducted by qualified instructors from Altoros, Pivotal, and Stark & Wayne—the companies that work with these tools on a daily basis. Read the details below.
There are at least a dozen continuous integration solutions out there, but the majority of them are challenging to learn, scale, and debug. Most importantly, few of them were designed with pipelines in mind. Not able to find a tool that could handle something as massive and complex as Cloud Foundry, Pivotal decided to write their own. This resulted in Concourse CI, a user-friendly continuous delivery technology that focuses on pipelines, is easy to scale, runs anywhere, and works with anything.
From this post, you will learn how Concourse CI differs from other similar products, how it works, and how it can help you to “nitrocharge” your own projects.
Previously, we deployed a .NET app to Diego on Pivotal CF and bound it to a MS SQL service. However, hardly any cloud app exists as a single instance. So, in this post, we will scale the demo app horizontally and test how it works on multiple instances.
Apache Spark is an open-source engine for large-scale data processing. In Bluemix, you can access it via the integrated interface called IBM Analytics for Apache Spark. Using a Scala-based starter as an example, this article demonstrates how to interact with the service through Jupiter Notebook and the spark-submit.sh script.
The technical requirements for the Internet of Things (IoT) server applications can substantially differ from the ones applied to the Internet of Humans. First of all, the need for any visual interfaces is completely eliminated.
These step-by-step instructions are intended to guide you through the process of starting a basic Ruby/Sinatra application server on Predix, GE’s IoT platform for the Industrial Internet. From the post, you can learn how to deploy the application to Predix, as well as configure the PostgreSQL database and Redis.
The goal of this TensorFlow tutorial is to use the k-means algorithm for grouping data into clusters with similar characteristics. When working with k-means, the data in a training set does not need labels. As an unsupervised learning method, the algorithm builds clusters based on the data itself.
The linear regression algorithm helps to predict scores on the variable Y from the scores on the variable X. In this TensorFlow tutorial, we create a linear regression model and optimize it using the gradient descent method.
This post introduces developers to Predix services. The scenario for the article includes preparing a simple cross-platform application based on the Cordova technology as well as interacting with Predix Mobile services. We also want to see if there any restrictions for using Predix Mobile services in a hybrid application.
TensorBoard helps engineers to analyze, visualize, and debug TensorFlow graphs. This tutorial will help you to get started with TensorBoard, demonstrating some of its capabilities.
