Given that 100% of the databases I have interacted with in my professional career have been SQL databases, my data-based mental model (please enjoy my pun) has always defaulted to a relational one. However, when spinning up a tiny side project in 2020 (a bot to provide interactivity to my Twitch stream), my data-storing requirements didn’t call for a relational model at the time, so I chose a NoSQL solution: MongoDB.

Another day, another AI headline designed to spike your blood pressure. The Service Management industry is no stranger to dramatic proclamations about AI, and neither are you. But what’s the real story behind CNBC’s latest take, “The tech support desk at work is one of the first jobs AI is rapidly replacing?” Does the Palo Alto Networks company need media coverage? Does CNBC? CompTIA? All of them? Perhaps there is a hidden agenda behind the article being published.

Happy AWS re:Invent week, everyone! While we have some larger announcements coming out this week (keep an eye out), we’d be remiss if we didn’t take the time to also look back at what our teams have been working on over the past few weeks. While we didn’t have a stated theme for November, you will see that two of our updates revolve around building templates or examples to help make achieving your goals easier with CloudZero.

LLM observability is key to ensuring model performance. Learn its importance, best practices, and actionable steps for optimal results and reliability.

Explore the top 10 Docker alternatives, comparing cost, performance, and use cases to find the best solution for your containerization needs.

Amazon Web Services, Microsoft Azure, and Google Cloud dominate the tech industry when it comes to cloud storage management and storing large-scale data for enterprises. Each service offers an abundance of features integrated into its service to suit businesses' unique needs ranging from: With all these features available, businesses interested in multi-cloud environments may be left wondering who wins the AWS vs. Azure vs. Google Cloud battle.

Setting Up Incident Management in Slack Incident Response and Resolution Building a Custom Slack Incident Bot Roles and Responsibilities Optimizing Your Incident Management Process.

As cloud architects, we’re all chasing the holy grail: performance and cost-efficiency. Whether you’re running complex mathematical algorithms, AI workloads, or just trying to process massive datasets, the type of EC2 instance you choose can make or break your goals. In recent months, more customers from industries like medical imaging and cybersecurity have been turning to GPU-powered EC2 instances to supercharge their computations.

We’re proud of our many customers and users around the globe that trust Icinga for critical IT infrastructure monitoring. That’s why we’re now showcasing some of these enterprises with their Success stories. It’s stories from companies or organizations just like yours, of any size and different kinds of industries. Some of them are our long-standing customers, others have just recently profited from migrating from another solution to Icinga.

From the beginning, Kroo’s architecture was designed with future scalability in mind, using PostgreSQL as its database and Apache Kafka as the mechanism for message distribution. By embracing an asynchronous infrastructure, Kroo can also independently scale different parts of its system, improving efficiency and responsiveness. After securing its full UK banking license in 2022, Kroo launched its current account. In the next 12 months alone, it secured an impressive 150,000 customers.