Operations | Monitoring | ITSM | DevOps | Cloud

Honeycomb recently released our Query Assistant, which uses ChatGPT behind the scenes to build queries based on your natural language question. It's pretty cool. While developing this feature, our team (including Tanya Romankova and Craig Atkinson) built tracing in from the start, and used it to get the feature working smoothly. Here's an example. This trace shows a Query Assistant call that took 14 seconds. Is ChatGPT that slow? Our traces can tell us!

Five worthy reads is a regular column on five noteworthy items we have discovered while researching trending and timeless topics. This week, we explore the amalgamation of the rapidly evolving world of artificial intelligence (AI) in cryptocurrency. Designed by Dhanwant Kumar The world of cryptocurrency has come a long way since the introduction of Bitcoin in 2009. Today, there are thousands of cryptocurrencies available, each with unique features and scenarios.

In this blog post, we will explore the importance of scalability, automation, and AI in the evolving landscape of infrastructure monitoring. We will examine how Netdata's innovative solution aligns with these emerging trends, and how it can empower organizations to effectively manage their modern IT infrastructure.

Azure Blob Storage is a cloud-based storage solution provided by Microsoft as part of its Azure platform. It enables users to store and manage unstructured data such as text, images, videos, and binary data in the cloud. This makes it a highly scalable and cost-effective way to store large amounts of data without having to worry about hardware maintenance or infrastructure management.

People have been using ChatGPT for various reasons over the past few months. Though the results aren’t flawless, they are unquestionably impressive. Its usefulness has been particularly noticeable for repetitive and time-consuming tasks. However, people have become apprehensive about their job security, which has hindered their ability to fully utilize ChatGPT to their advantage.

In 2023, monitoring is essential to modern DevOps teams' work. DevOps teams need reliable and flexible tools to effectively monitor and manage complex systems that can provide real-time insights into system performance, availability, and security. Open-source monitoring tools have become increasingly popular due to their cost-effectiveness, flexibility, and community support.

The public sector is investing heavily on artificial intelligence and machine learning initiatives. Deloitte AI Institute reported that 60% of government AI and data analytics investments aim to directly impact real-time operational decisions and outcomes by 2024. From automating redundant tasks to increasing the quality of services offered to citizens, public sector institutions have a wide range of applications where they could implement AI.