Data centers are the backbone of the digital economy, hosting the servers, networks, and software that power the internet and cloud services. Data centers consume a lot of electricity, accounting for about 1% of the global energy demand in 2019. As AI becomes more widespread and complex, data centers will need to upgrade their hardware and infrastructure to meet the growing demand for AI processing. This will increase the cost of operating data centers in several ways.

Engineers are increasingly embracing open-source server monitoring tools for their flexibility and cost-effectiveness. These tools offer functionality without the need for additional investments. In this article, we'll explore the top open-source server monitoring tools: Graphite, Grafana, ELK Stack, and Nagios. These actively maintained tools have thriving communities. Let's delve into their features and benefits.

In the ever-changing world of IT and digitalization, we’ve all probably pondered the same thought at least once: “Can AI ever replace me?” An example is the Tom and Jerry cartoon episode with the robot cat meant to replace Tom. Another is the video game Detroit: Become Human that navigates a world where self-aware androids surpass humans in intelligence. Fiction aside, we’re already seeing AI’s true capabilities with tools like Chat GPT and Bard.

Cybercrime is one of the greatest threats to modern businesses, so naturally, cybersecurity is becoming a top priority among business leaders worldwide. It’s easy to see why. Cybercrime can result in significant losses for companies, particularly financially. In fact, the global cost of cybercrime is expected to rise to $23.84 trillion by 2027, up from $8.44 trillion in 2022. Businesses collect and store mountains of data daily, and are obligated to keep that data secure.