I always find the Olympics to be an unusual experience. I’m hardly an athletics fanatic, yet I can’t help but get swept up in the spirit of the competition. When the Olympics took place in Paris last summer, I suddenly began rooting for my country in sports I barely knew existed. I would spend random Thursday nights glued to the TV, cheering on athletes as they skillfully let fly arrows, disks, hammers and so on.

In the dynamic world of IT, change is the only constant. What used to be manual, repetitive, and slow has now become quick, automated workflows that run faster than ever before. IT process automation, previously known as “runbook automation,” has evolved significantly. It started as a simple concept and has become essential in modern IT operations. But how did this transformation happen, and why is real-time automation now imperative for businesses to thrive?

Generative AI has revolutionized the way we approach creativity, allowing anyone with a computer to bring ideas to life through images, music, and more. At the forefront of this revolution is Stable Diffusion, a model that has captured the imagination of developers, artists, and hobbyists alike.

Large Language Models (LLMs) are now essential to modern artificial intelligence (AI), enabling machines to understand and generate human language. Their impact is evident across various industries, with estimates suggesting that by 2025, 750 million apps will integrate LLMs. From enhancing customer service with intelligent chatbots to advancing medical research, LLMs are driving efficiency in business operations.

Petabytes of monthly data transfer. Thousands of concurrent requests per customer. Hundreds of thousands of requests per minute per customer. The JFrog Platform is a mission critical piece of software development and delivery infrastructure for companies that require performance at scale. When you’re supporting thousands of developers, even a minute of downtime or delay can mean millions of dollars lost productivity.

Master Python logging with structlog! Learn how structured logs improve debugging, observability, and performance in your apps.

Learn how to manage and view systemctl logs in Linux with this guide, covering essential commands and best practices for troubleshooting.

If picking the best database management system (DBMS) were a road trip, both MongoDB and DynamoDB would get you there. Ultimately, it comes down to choosing whether you need the specialized efficiency of DynamoDB within Amazon Web Services (AWS) or the “off-road” flexibility of platform-agnostic MongoDB. What do road trips and off-road antics have to do with deciding between MongoDB vs. DynamoDB?

It’s impossible to learn about containerization without hearing about Docker and Kubernetes. These two tools together dominate the world of containers, both being the de facto standard in what they each do. When you’re first getting started learning about containers, it can be quite a challenge to figure out the differences between these two tools.

Discover the best cloud migration tools of 2024, key features to consider, and expert tips for choosing the right solution for your business needs. Cortex|