Operations | Monitoring | ITSM | DevOps | Cloud

In an age of instant access, your website is crucial for meeting customer expectations. Downtime, even fleetingly, translates directly into lost revenue, irreparable reputational damage, and the erosion of hard-earned customer trust. For enterprises, achieving near-perfect uptime – the coveted "four nines" (99.99% availability) – is no longer a luxury; it's a business imperative. This translates to a maximum permissible downtime of just 52 minutes and 36 seconds per year.

Every interaction a user has with your application—whether positive or negative—directly impacts your business outcomes. But how can you uncover what truly shapes these interactions? The answer lies in analyzing user behavior to identify opportunities for user experience optimization and improving performance as user impact.

Refinery is a powerful tail-based sampler—but with great power comes great challenges. We heard your feedback and are excited to announce the release of Refinery 2.9, a rather large update that is packed with goodies to make your life easier when running Refinery in your network.

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.

Benchmarking is essential in application development, especially if you aim to scale up your app. Benchmarking enables you to evaluate your application's resource consumption, which helps you identify potential updates to speed up performance. If not scaling, you will need the application performance to be optimal to enhance user experience and reduce memory and processing costs.