Operations | Monitoring | ITSM | DevOps | Cloud

From simplifying AI integration and automation to network virtualization and cybersecurity, re:Invent 2024 left us with plenty to think about going into 2025. AWS re:Invent 2024 was a whirlwind. TechRadar reported an estimated 60,000 in-person attendees, and with over 2,000 learning sessions there was no shortage of opportunities to collaborate. Our Megaport booth was buzzing, and we loved connecting with you.

Learn how CI/CD tools are enhanced with IDPs—to speed deployments, and increase consistency in software development. Cortex|

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?

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

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

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.

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.

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.

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?