Systems | Development | Analytics | API | Testing

When building complex, interdependent projects, local testing and debugging often become challenging. This is a common situation for most internal developer platforms and large-scale deployments. Replicating a deployed environment locally is inherently complex, especially when the code depends on external services or specific platform integrations.

I’ve been on both sides of the table, as a CIO shaping enterprise strategy and now as a CEO delivering outcomes for thousands of customers. And one belief has never changed: your data should serve your business, not someone else’s agenda. That belief matters now more than ever. Salesforce’s intent to acquire Informatica is the latest signal of a growing trend: consolidation over choice.

The new ObjectRef data type helps to integrate unstructured data like images and audio into existing BigQuery tables.

Have you ever wished Python had a native switch-case statement like C or Java? It would make conditional logic so much easier to read, especially when you have more than 3 conditions to handle. While Python doesn’t offer a built-in switch-case structure, the good news is that there are clean and Pythonic ways to achieve the same behavior. In this blog, let’s explore three practical ways to implement switch-case in Python with real examples and how to make sure they work using automated tests.

Latency and throughput are the two most important metrics for API performance. If your API feels slow or struggles with heavy traffic, understanding these is your first step to fixing it. Latency: The time it takes for a request to go to the server and back (measured in milliseconds). Think of it as how quickly a single request is handled. Throughput: How many requests your API can handle in a second (measured in requests per second). It's about your system's capacity.

I don't have a degree in computer science, and it's okay if you don't either! Lots of us Rubyists don't have formal computer science credentials. So for a long time, I avoided learning about big-O notation. It looks a little too much like higher math. I mean just look at something like: O(N^2). Come on!

Observability isn’t a luxury, it’s a necessity. But for teams managing large Node.js applications, getting real-time visibility into performance, memory usage, async behavior, and security can be a complex and risky endeavor, especially if it means modifying your production code. That’s where N|Solid by NodeSource changes the game. Imagine getting deep, real-time insights into your Node.js applications without touching a single line of your business logic.

For too long, businesses have been adrift in a sea of static dashboards and colorful visualizations, mistaking activity for insight. They call it business intelligence, but in reality, it's just more noise. These legacy dashboards are inherently unintelligent; they might answer your first question, but they immediately force you to create ten more dashboards to get subsequent answers. It’s a vicious cycle of dashboard sprawl, not true intelligence.

Data is everywhere, but transforming it into clear, actionable insights is easier said than done. For organizations using Qlik, the platform offers a strong foundation for analysis, but how do you take your dashboards from functional to exceptional? Enter Vizlib from insightsoftware, the game-changing Qlik add-on that empowers users to turn basic dashboards into engaging data stories.