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.
By Erez Schnaider, Technical Product Marketing Manager, ClearML The promise of artificial intelligence, particularly with the advent of LLMs, is transformative. Organizations are eager to harness this power, integrate AI into their products, and automate complex processes in order to materialize the lofty promises of generative AI – efficiency, deep domain knowledge, and a competitive edge.
Step inside the world of data innovation as Cindi Howson talks with Don Vu, SVP and Chief Data and Analytics Officer at New York Life. They'll reveal how a 180-year-old institution is leveraging cutting-edge AI to make experiences proactive and intelligent. Hear how New York Life utilizes their innovative "GuideMe" tool to supercharge agent and client financial planning, tackles the "last mile problem" in data operationalization, and ensures data quality is paramount for both structured and unstructured data.
In this episode, Fivetran speaks with Tim Veil, Principal at Two Bear Capital, to unpack the challenges businesses face in operationalizing AI — and why data strategy, not just data volume, is the key to unlocking real business value.
The new bugsnag-kmp SDK is a unified error monitoring solution for Kotlin Multiplatform (KMP) projects, enabling developers to track and monitor errors across Android, iOS, and web platforms from a single codebase. The new SDK works seamlessly on Android, iOS, and web browsers Native Integration, each one linking directly with our existing platform SDKs.