Blog

Quick Take: Datadog Acquires Log Search Provider Quickwit

Steve McDowell January 13, 2025

Datadog announced the acquisition of Quickwit, a cutting-edge provider of search and indexing software for petabyte-scale log datasets. The acquisition should enhance Datadog’s capabilities in observability, security, and data analytics by integrating Quickwit’s cost-efficient, high-performance search technology into its product suite.

CES 2025- Enterprise Tech Was There Too

Michael McDowell January 9, 2025

Oh my, CES 2025 has taken me on one heck of a ride through the tech universe. I am an enterprise IT guy but, I must admit, the non-IT tech at CES had me fully distracted. Automated lawnmowers, high tech indoor garden planters, and my favorite- an ultra-realistic flight simulator. Wowzers- really neat stuff.

NAND Insider Newsletter: January 5, 2025

Steve McDowell January 5, 2025

Every week NAND Research puts out a newsletter for our industry customers. Below is a excerpt from this week’s.

CES 2025- Must See Tech

Michael McDowell January 3, 2025

Can you believe it? The Consumer Electronics Show, aka CES, is just days away. I know, the timing is hard for all of us considering there hasn’t been much time to recover from our New Years festivities. No rest for the weary as we head out to Vegas for the big event.

The show is always full of surprises, so stay tuned next week for lots of announcements to hit the wire. In the meantime, I have a few thoughts to share on what I will be looking for at the show.

Extreme Networks Platform ONE: A New Approach to AI-Driven Network Management

Michael McDowell December 15, 2024

Extreme Networks recently announced the launch of Extreme Platform ONE, its comprehensive management platform integrating networking, security, and AI to streamline enterprise infrastructure operations.

Understanding AI Data Types: The Foundation of Efficient AI Models

Steve McDowell December 4, 2024

AI Datatypes aren’t just a technical detail—it’s a critical factor that affects performance, accuracy, power efficiency, and even the feasibility of deploying AI models.

Understanding the datatypes used in AI isn’t just for hands-on practitioners, you often see published benchmarks and other performance numbers broken out by datatype (just look at an NVIDIA GPU data sheet). What’s it all mean?