Systems | Development | Analytics | API | Testing

Functional vs. Data Testing: Don't Own Your Clients' Data

Now that automated testing is common in the development world, there is a misconception that it can be used for brute force approaches to cover all your bases. This leads to business owners wanting to test every scenario with their data. This brute force approach is not only time-consuming, but it is not scalable, and can expose your company to PHI and PII issues.

Oversee code coverage reports with the Codecov Verified Step

Our team at Codecov is happy to announce that we built an official Verified Step for Bitrise. Codecov began as a project to solve one developer’s personal frustration of not being able to get a quick look at what code is tested. That was the case with Bitrise too, starting out as a tool to solve the problem of our founders. With shared values and plenty of mutual customers, we’re excited to share this official integration and help out mobile developers all around the world.

On the importance of load testing Kafka

Socrates preached, “To know thyself is the beginning of wisdom.” This ancient Greek anecdote applies to your modern Apache Kafka project: developers, go forth and load test your real-time application to understand the capacity and limitations of your project before deployment. Failure to do so will cost you time and money (e.g. Robinhood’s outage on a historic trading day). Load testing your real-time applications has three main objectives.

How Serverless is an emerging Software Architecture?

Software development has greatly evolved over the years. Serverless is an emerging software architecture that could resolve issues when it comes to developing software solutions. As software developers, you’re tasked with server setup, installing the software, operating systems requirements, server management and maintenance, designing an application with high fault tolerance and availability, as well as managing load balance and more.

Cloudera Supercharges the Enterprise Data Cloud with NVIDIA

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds Cloudera announced today a new collaboration with NVIDIA that will help Cloudera customers accelerate data engineering, analytics, machine learning and deep learning performance with the power of NVIDIA GPU computing across public and private clouds.

Tracking your team's testing in Jira

With exponential growth in remote working, teams are struggling with collaboration and maintaining visibility. Sound familiar? In this blog we’ll explore how to keep track of your testing activity and team’s progress in Jira, and how TM4J – Test Management for Jira can help identify common problem areas so proper measures can be taken.