Systems | Development | Analytics | API | Testing

Exploratory Testing: QA Without a Map

Exploratory testing is an essential tool in any comprehensive software testing strategy. If regular scripted testing follows clear directions on a map, exploratory testing ventures off the beaten path to uncover hidden defects. This guide will teach you what exploratory testing is, why it’s critical, how to conduct exploratory testing sessions, and techniques to maximize your results.

A Practical Guide to Calculating Test Automation ROI

According to BMC research, 90% of development managers believe that automating a large number of test cases may become the key to their success as the pressure on IT to accelerate innovation intensifies. However, automating testing processes involves an initial investment, and the benefits can vary between teams driven by multiple forces including the application architecture, number of platforms, and the automation technology choices.

Countly's Product Analytics for The Privacy-Conscious Crypto Market

This article is part of a mini-series showcasing how Countly serves various industries. If you're interested in exploring product analytics from different market perspectives, these articles might be helpful: This isn't our first discussion about the crypto market in relation to product analytics and data privacy. While we’ve previously explored topics like NPS and crash analytics, in this article, we'll take a more comprehensive approach, addressing the following questions.

Introduction to Automation Testing Services: What You Need to Know

Quality can feel elusive in this rapidly changing world of software development where applications are in constant flux. Quality can feel elusive in this rapidly changing world of software development where applications are in constant flux. Automation testing services make their way into the scene- a radical innovation that rationalizes the entire testing process: time and resources saved result in a better product delivered ultimately.

Databases Compared: Databricks vs. Snowflake vs. ChaosSearch vs. Elasticsearch

For organizations that generate large amounts of data, implementing a cloud database solution is a critical step towards enabling performant and cost-effective data storage, transformation, and analytics. Choosing the right cloud database solution involves careful consideration of features, capabilities, costs, and use cases to ensure alignment with your organization’s needs and objectives. This blog post features an in-depth comparison of four popular cloud database solutions: Databricks vs.

Web CI on Bitrise: Beta announcement

Mobile developers love using Bitrise, and we get it. But we also know your products and automation workflows extend beyond just mobile apps. That's why we're thrilled to announce Bitrise's expansion into web CI/CD! While in beta, this is your chance to help shape an industry-leading solution for your entire development process.

What is Live Testing? Guide To Do Live Testing In-depth

Live testing is to test software in real-world situations with real users instead of simulated data. This approach allows testers to check software quality in actual usage scenarios and real-world conditions. They do have their own risks to take into consideration, since we are interacting with real users and live systems here. In this article, we will explore the concept of live testing in-depth, and how you can better do live testing with the right tools and approach.

Product Update: Boost Databricks productivity, performance, and efficiency

Today, 65% of IT decision-makers believe their company is falling behind the competition in using data and analytics. Why? Organizations want real-time insights, fraud/anomaly detection, trend analysis, and systems monitoring. The good news – data teams that use DataOps practices and tools will be 10 times more productive.With this in mind, Unravel is hosting a live event to share new capabilities to help you achieve productivity, performance, and cost efficiency with Databricks’ Data Intelligence Platform.

Contributing to Apache Kafka: How to Write a KIP

I’m brand new to writing KIPs (Kafka Improvement Proposals). I’ve written two so far, and my hands sweat every time I hit send on an email with ‘ KIP’ in the title. But I’ve also learned a lot from the process: about Apache Kafka internals, the process of writing KIPs, the Kafka community, and the most important motivation for developing software: our end users. What did I actually write? Let’s review KIP-941 and KIP-1020.

5 Advantages of Enterprise Intelligent Automation

3. Elevate risk governance to the next level. NatWest is the UK's leading business bank and second-largest retail mortgage provider. Lengthy change implementation processes hindered risk governance at the bank. Initiating change projects or launching products and applications meant navigating layers of policy checks and approvals, which could take up to 73 days.