Systems | Development | Analytics | API | Testing

CPU Profiling in N|Solid [3/10] The best APM for Node, layer by layer

Review your applications in detail with CPU Profiles in N|Solid and find opportunities for Improve code. You can use the CPU Profiler tool in N|Solid to see which processes consume the most percentage of CPU time. This functionality can give you an accurate view of how your application is running and where it is taking up the most resources.

Performance considerations for loading data into BigQuery

It is not unusual for customers to load very large data sets into their enterprise data warehouse. Whether you are doing an initial data ingestion with hundreds of TB of data or incrementally loading from your systems of record, performance of bulk inserts is key to quicker insights from the data. The most common architecture for batch data loads uses Google Cloud Storage(Object storage) as the staging area for all bulk loads.

Getting Started with XPath in Selenium

Selenium is the industry-standard, open-source testing automation framework. To implement Selenium, developers first need to use a locator to find dynamic web elements that help automate the cross-browser testing of their web applications. Selenium uses several locators, including XML Path (XPath). This blog explains how to use XPath as a web element locator in Selenium.

7 Automated Software Testing Tools for Fast & Reliable QA

Automated software testing tools are used to automate interactions with software so tests can be run without a human having to perform each action. This lets one person run multiple tests at once and eliminates most of the human error associated with manual testing. Although there are many types of software testing, functional testing is the most common and the one most teams start with. That’s why we’ll be focusing on functional testing in this article.

People Were Skeptical of Data Warehouses. Now History Is Repeating.

This is a guest post by computer scientist Bill Inmon, recognized as the "father of the data warehouse." Bill has written 65 books in nine languages and is currently building a technology called textual ETL. Many years ago, there were no data warehouses. Most Ecommerce retailers relied on legacy systems with unintegrated data that couldn’t communicate with each other, resulting in data silos. Comparing data sets from these systems was almost impossible.