Systems | Development | Analytics | API | Testing

Applied Machine Learning Prototypes | The Future of Machine Learning

Applied Machine Learning Prototypes or AMPs, are pre-built applications that can be used as a starting point for your next machine learning project. These prototypes are designed to save time and resources by providing a tested and reliable solution to common machine learning problems. Cloudera + Dell + AMD.

Data Lake ETL: Integrating Data From Multiple Sources

Utilizing big data is one of the biggest assets your organization can use to stay ahead of the competition. Even though big data continues to grow, most organizations have yet to leverage its capabilities fully. Why? Because millions of data sources exist on the internet and physically. Ingesting and integrating this data can quickly become overwhelming. With data lakes, you can integrate raw data from multiple sources into one central storage repository.

Enabling gRPC and HTTP/2 support at the edge with Kuma and Envoy

Our thing is to let you deploy your apps globally in less than 5 minutes with high-end performance. Not only does this require us to be meticulous about everything composing our infrastructure layer, but also we have to support high-level protocols like WebSockets, HTTP/2, and gRPC. There are two major things in the infrastructure impacting performance: hardware and network. On the hardware side, we deploy all apps inside microVMs on top of high-end bare metal servers around the world.

Selenium vs. Out-of-the-Box Test Automation Tools: Which Is Right for You?

Test automation has become an essential part of the software development process. Rather than spending hours conducting manual tests, you can write a script once and execute it with each release. This helps to maximize test coverage and save time, resulting in lower testing costs and a better customer experience. But which test automation tool should you use? What’s the difference?

Scaling Mastery: Demystifying the Secrets of Ladder-Based Scaling | Nagabhushan Ramappa | #scaling

In this informative video, Nagabhushan Ramappa, a distinguished figure in the software industry, explains the concept of ladder-based scaling. Nagabhushan unravels the intricacies of this scaling strategy, shedding light on its applications. Whether you're a software professional, a developer, or someone curious about scaling strategies, this video provides valuable insights into ladder-based scaling.

Powering the Latest LLM Innovation, Llama v2 in Snowflake, Part 1

This blog series covers how to run, train, fine-tune, and deploy large language models securely inside your Snowflake Account with Snowpark Container Services This year there has been a surge of progress in the world of open source large language models (LLMs). This world of free and open source LLMs took yet another major step forward just this week with Meta’s release of Llama v2.

Welcome to The Future of Software Development: Powered by Telemetry, Security, and AI

We made some big announcements during our keynote at Collision in Toronto; our AI Assistant, Adrian, and the open sourcing of our Node.js Runtime, N|Solid Runtime. They are a big part of our vision for the future of software development, one that is powered by telemetry, security, and AI - which was the topic of our talk. In this post we will share more about our vision and specifically how NodeSource is enabling that future.