Systems | Development | Analytics | API | Testing

Generative AI and large language models (LLMs) are revolutionizing many aspects of both developer and non-coder productivity with automation of repetitive tasks and fast generation of insights from large amounts of data. Snowflake users are already taking advantage of LLMs to build really cool apps with integrations to web-hosted LLM APIs using external functions, and using Streamlit as an interactive front end for LLM-powered apps such as AI plagiarism detection, AI assistant, and MathGPT.

Cloudera SQL Stream builder gives non-technical users the power of a unified stream processing engine so they can integrate, aggregate, query, and analyze both streaming and batch data sources in a single SQL interface. This allows business users to define events of interest for which they need to continuously monitor and respond quickly. A dead letter queue (DLQ) can be used if there are deserialization errors when events are consumed from a Kafka topic.

Read this guide to learn how site reliability helps development teams accelerate reliable software delivery.

Do you understand JavaScript's concurrency model? This article is here to help! Learn how JavaScript executes non-blocking functions and dive into event loops, callbacks, async/await, and promises.

In a previous blog post, we discussed how to run local tests using Python and Selenium browser automation. In this blog post, we will show you how to configure parallel test execution for a WebRTC product with one or more participants on your local machine.

The conversations around eBPF and how this technology will shape the future of the service mesh caused a huge buzz in the last year — yes, bee pun intended. eBPF lets you run sandboxed programs in an operating system kernel. Imagining how eBPF could improve the service mesh brings exciting possibilities, but it also raises security and operational concerns given the current state and limitations of eBPF.

CIOs are fed up with having a plethora of BI and analytics tools with business units seemingly chasing the shiniest new solution. And although most industry surveys show data and analytics budgets continuing to grow despite a faltering economy, there is closer scrutiny and belt tightening to rid teams of overlapping capabilities. Here’s a look at how BI tool portfolios have become such a mess and how to streamline them.