Systems | Development | Analytics | API | Testing

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.

After getting our Konnect Data Planes vertically and horizontally scaled, with VPA and HPA, it's time to explore the Kubernete Node Autoscaler options. In this post, we start with the Cluster Autoscaler mechanism. (Part 4 in this series is dedicated to Karpenter.)

In the modern IT stack, API gateways act as the first line of defense against attacks on backend services by enforcing authentication/authorization policies and validating and transforming requests. When backend services are protected with a token-based approach, client applications must obtain an access token to access the protected resource.

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.

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.

Snowflake and Oracle Autonomous Data Warehouse are two cloud data warehouses that provide you with a Single Source Of Truth (SSOT) for all the data that exists in your organization. You can use either of these warehouses to run data through business intelligence (BI) tools and automate insights for decision-making. But which one should you add to your tech stack?

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.

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.

Performance testing scripts need to go through authentication in order to access target services with the right authorization. They also need to validate that the authentication servers are able to handle the target load. OpenID Connect(OIDC) has become a popular authentication and authorization protocol for securing web applications. This article will present the OIDC protocol and how to implement a JMeter script to performance test it.

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.