Systems | Development | Analytics | API | Testing

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How to deploy ML models to production

Currently, many enterprises, including many Cloudera customers, are experimenting with machine learning (ML) and creating models to tackle a wide range of challenges. While today, many models are used for dashboards and internal BI purposes, a small and rapidly growing group of enterprise leaders have begun to realize the potential of ML for business automation, optimization and product innovation.

Unravel Data Now Certified on Cloudera Data Platform

Last year, Cloudera released the Cloudera Data Platform, an integrated data platform that can be deployed in any environment, including multiple public clouds, bare metal, private cloud, and hybrid cloud. Customers are increasingly demanding maximum flexibility to adhere to multi-cloud, hybrid data management demands. Unravel has from the beginning has made it a core strategy to support the full modern data stack, on any cloud, hybrid as well as on-premises.

How to automate Load Testing with k6 in TeamCity builds

In this tutorial, we will look into how to integrate performance testing with k6 in your TeamCity build setup. k6 is a free and open-source performance testing tool for testing the performance of APIs, microservices and websites. TeamCity is a continuous integration and delivery server built by JetBrains.

How to Measure Developer Acquisition with API Analytics and UTM Parameters

When building businesses it’s of paramount importance to measure what’s working and what’s not. This is especially true for companies that are API-first. Moesif API Analytics allows merging the business and technical perspectives, so as to present a complete picture of the operating environment.

Tutorial: Log to Console in PHP

“All code and no logging makes John a black box error-prone system.” Logging is a key aspect of monitoring, troubleshooting and debugging your code. Not only does it make your project’s underlying execution more transparent and intelligible, but also more accessible in its approach. In a company or a community setting, intelligent logging practices can help everyone to be on the same page about the status and the progress of the project.

Data Driven vs Keyword Driven Frameworks for Test Automation

A test framework is a set of guidelines which can be followed to create test cases and related processes. These guidelines can be about coding practices, storage and retrieval of test data and test results, interaction with external resources and many other things. A test framework usually contains internal libraries and reusable code modules which provide a foundation for test automation and can be leveraged to build test automation systems for different types of applications.