Multi-Cluster Deployment Options for Apache Kafka: Pros and Cons

March 16, 2018
This blog post investigates three models of multi-cluster deployment for Apache Kafka—the stretched, active-passive, and active-active.

Building Recommenders with Multilayer Perceptron Using TensorFlow

March 5, 2018
This blog post explores the techniques to improve recommendations using matrix factorization, multilayer perceptron, negative sampling, etc. with TensorFlow.

Hidden Tricks of Jenkins to Bolster Continuous Integration on Pivotal Cloud Foundry

December 19, 2017
This blog post explores 'underestimated' features in Jenkins, such as plugins for generating, editing, and debugging code.

Tips and Tricks to Monitor a Cloud Foundry Deployment Across All Levels

October 12, 2017
Anton Soroko of Altoros explores best practices for full-stack Cloud Foundry monitoring, presenting tools and recommendations for developers and operators.

Using Centralized Logs and Metrics to Monitor Cloud Foundry Across All Levels

September 29, 2017
In this post, we give some tips and tricks on how to simplify monitoring of Cloud Foundry deployments with centralized logging and comprehensive metrics.

TensorFlow for Recommendation Engines and Customer Feedback Analysis

June 28, 2017
Learn how TensorFlow and Google Cloud Machine Learning help to find and recommend products, as well as analyze customer feedback in e-commerce.

Adopting TensorFlow for Manufacturing and Industrial Internet of Things

June 23, 2017
At TensorBeat 2017, a panel revealed the reasons behind TensorFlow adoption, exemplified real-life scenarios, and questioned the future of data.

Logical Graphs: Native Control Flow Operations in TensorFlow

June 21, 2017
This blog post explains how to create graphs with built-in logical branching structure so as to avoid extra complexity of the Python code.

Real-Time Debugging in Production with Bluemix Live Sync

June 21, 2017
This article describes how Bluemix Live Sync may help Node.js engineers to troubleshoot bugs in production without redeployment.

TensorFlow for Foreign Exchange Market: Analyzing Time-Series Data

June 9, 2017
This blog post features some insights on building a generative model for financial time-series data and implementing it with TensorFlow.

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