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.

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.

For any product team with a Software as a Service (SaaS) application, the significance of embedding capable, reliable analytics is well understood. But it’s important to remember how valuable these tools are for your users’ experience, too. Having fast access to data and easy ways to explore it is, as you know, key to monitoring business performance, finding trends, sharing insights, and improving your core product. Today’s business user also wants more when they use your product.

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.

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.

Streaming refers to any media content—live or recorded—delivered to computers, TVs, and Mobile devices via the internet and played back in real-time. Streaming services often require fees, either per view or subscription. Streaming continuously transmits audio or video files from a server to a client. In simpler terms, streaming happens when consumers watch TV or listen to podcasts on Internet-connected devices. We have two types of streaming – audio and video.

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.

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.

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.