According to ISTQB, test design is “the process of transforming general test objectives into tangible test conditions and test cases.” Effective test design is a crucial part of SDLC as it helps quickly identify defects in product implementation or gaps in requirements.

When monitoring cloud resources, there are several factors to consider.

There are several ways to optimize cloud storage, depending on your specific needs and circumstances. Here are some general tips that can help: Overall, optimizing cloud storage requires careful planning, monitoring, and management. By following these tips, you can reduce your storage costs, improve your data management, and get the most out of your cloud storage investment.

With the advent of modern-day cloud infrastructure, many business-critical applications like databases, ERPs, and Marketing applications have all moved to the cloud. With this, most of the business-critical data now resides in the cloud. Now that all the business data resides on the cloud, companies need a data warehouse that can seamlessly store the data from all the different cloud-based applications. This is where Cloud Data Warehouse comes into the picture.

When monitoring cloud resources, there are several factors to consider.

Error-guessing is an intuitive methodology that uses testers’ expertise and intuition to detect flaws that traditional testing methods may miss. In this post, we’ll look at the fascinating notion of error-guessing.

A data lake is the perfect solution for storing and accessing your data, and enabling data analytics at scale - but do you know how to make the most of your AWS data lake? In this week’s blog post, we’re offering 10 data lake best practices that can help you optimize your AWS S3 data lake set-up and data management workflows, decrease time-to-insights, reduce costs, and get the most value from your AWS data lake deployment.

Did you know software errors cost the US economy an estimated $1.7 trillion annually? Or that software defects are responsible for 25% of total system failures? These statistics highlight the importance of software testing. The software testing life cycle encompasses activities executed during the testing phase. By following these six key testing phases, you can ensure that the final product is free from errors, glitches, and other issues that can hamper its performance.

Many organizations power business operations with self-hosted software. Self-hosted or on-premise software runs on a server owned by you or your organization, whereas a software-as-a-service (SaaS) provider manages deployed software using cloud services. The responsibility to install and maintain self-hosted software lies with the user.

Over the years, software developers have heavily relied on manual testing processes, which continue to play a vital role in the testing phase. However, it’s important to acknowledge that there are scenarios where test automation becomes important too. That is where test automation tools come in handy. In recent years, automated testing has emerged as a valuable addition to the field of software testing.