According to a study by Stack Overflow, developers spend approximately 50% of their time debugging and fixing issues in their code. As a software engineer, I understand the problem first-hand. We pour our heart and soul into building applications, yet bugs persist despite our best efforts. While some are caught during compilation, others lurk undetected, potentially causing damage and financial woes. That’s why rigorous testing of applications becomes crucial before market launch.

Today, Site Reliability Engineering (SRE) emerges as the key player in the fast-paced modern industries, where the demand for seamless software delivery collides with the need for reliability, maintaining this delicate equilibrium. It’s not merely a role; it’s a strategic position that safeguards system health while strategically mitigating the financial pitfalls associated with downtime.

Testing software is like putting it through a series of challenges to make sure it’s tough enough for real-world use. Whether we’re testing each piece individually (unit testing) or how they all work together (integration testing), we need to be prepared for different situations. Sometimes, testing is tricky.There are times, when we need to isolate parts of our code from their dependencies.

Do you have a ton of data sources and do not know how to expose them? Do you know you need a Microsoft SQL Server API but don’t know where to begin to build it? Look no further, DreamFactory can take any database and generate a fully documented and secure REST API faster than making a sandwich. All you need is your database credentials and DreamFactory will handle the rest, instantly generating Swagger API documentation and securing your API by way of API keys.

At Databox, we put our company values at the forefront of everything we do. Prioritizing customer impact is one of the values we focus on the most, so taking the time to really understand our customers is paramount and we employ multiple strategies, frameworks, and initiatives on a daily basis to achieve this. One of those strategies is our Customer Lifecycle Framework (CLF), which reflects our dedication to prioritizing the needs of our customers at every stage of their interaction with us.

In the dynamic landscape of software development, where agility and precision are paramount, testing reports emerge as a cornerstone for quality assurance, tracking progress, and fostering effective communication among stakeholders. Let's embark on a journey to explore the intricacies of testing reports, unraveling their significance, types, content, and the tools that can elevate your reporting game.

Financial services companies are leveraging data and machine learning to mitigate risks like fraud and cyber threats and to provide a modern customer experience. By following these measures, they are able to comply with regulations, optimize their trading and answer their customers’ needs. In today’s competitive digital world, these changes are essential for ensuring their relevance and efficiency.

In the past, querying a database required Structured Query Language (SQL) skills, or knowledge of other database query languages, such as Kibana Query Language (KQL). Today, with the emergence of generative AI (GenAI), teams can query their analytic database using natural language — and get plain English results in return. Or, if you prefer to still use SQL, many teams use GenAI for database query optimization, making queries faster and more efficient.

An exception is a known type of error. An unhandled exception occurs when the application code does not properly handle exceptions. For example, When you try to open a file on disk, it is a common problem for the file to not exist. The.NET Framework will then throw a FileNotFoundException. This is a simple example of a potential known problem that is accounted for within the code. Let’s take this code sample below.