Operations | Monitoring | ITSM | DevOps | Cloud

The Future of Auditing is Agentic AI

There is a huge amount of hype around AI. Companies are growing faster than ever, IT budgets are being redirected, and product roadmaps everywhere are being redrawn. There is no doubt LLM’s are a transformative technology. At the same time, as with any early technology cycle we are far from understanding the patterns of success. And for sure, mis-steps and bad takes abound.

Top AI business card generators in 2025

Designing a business card used to mean hiring a designer or learning complicated software. In 2025, AI-powered generators are redefining how professionals and businesses create cards-fast, personalized, and brand-aligned. These tools combine machine learning with layout logic, helping users produce polished cards in minutes. Whether you're a startup founder, freelancer, or team leader, AI-generated business cards now offer a reliable, scalable way to make a memorable first impression.

Adding AI to applications using the Model Context Protocol

Large Language Models (LLMs) are now at the cutting edge of mainstream AI systems. Their impact has been seismic, sparking a new gold rush as application developers transform the user experience away from clicks and commands into natural language and advanced automation. However, application developers have a barrier to overcome. AI models need data to reason and respond to a particular application domain.

Highlight reel: Futureproof Your AI Investment With Observability

Artificial intelligence is changing the way modern systems are built—and how teams are expected to and operate them. But as AI-driven complexity grows, so too does the need for deep, reliable, and fast visibility into what’s really happening inside our. In this timely and thought-provoking session, Christine Yen, CEO and Co-founder of Honeycomb, explores how practices must evolve to keep pace with.

Regex Log Parsing Made Easy with AI/LLM Support #opentelemetry #collector #observability

Check out the full ‪‪@bindplane community call in June. We explore Apache HTTP source and the new AI regex log parsing capabilities. We leverage a Bindplane processor for complex pattern matching, enabling efficient data processing. This guide demonstrates how to easily generate and apply regex patterns with AI support.

Smarter Data Center Capacity Planning for AI Innovation

Global demand for data center capacity is skyrocketing. From 2023 to 2030, power consumption across data centers is expected to grow by up to 22% annually, driven primarily by generative AI (GenAI) workloads. By 2030, AI workloads are predicted to account for 70% of total demand. This demand doesn’t just mean more hardware; it necessitates high-density computing environments to support training large language models like GPT and real-time inference systems.

GenAI: 80% Adoption by 2026... Are You Ready?

In this video, we explore the growing adoption of Generative AI in enterprise, the common pitfalls companies face, and how to build GenAI infrastructure that’s secure, scalable, and production-ready. We also introduce how relaxAI, Civo’s AI assistant, helps solve key challenges around privacy and infrastructure, giving you full control by bringing the LLM to your data.

Top tips: Fly high with AI-benefits of artificial intelligence in aviation

Top tips is a weekly column where we highlight what’s trending in the tech world today and list ways to explore these trends. This week, we’ll look at two ways AI is optimizing flying for the passenger as well as the airline. "Brace! Brace! Brace!" Simple request. Serious consequences. Something that could get even the most vocal atheist to start praying. Something that no one would ever wish to hear in their lifetime.

LLM Observability for Reliability and Stability: A Monitoring Strategy for Phone Communication

LLM APIs offer groundbreaking potential, but also present challenges such as response latency, hallucinations, and service instability. In Japan, where telephone communication remains crucial for business, these issues present significant barriers to the introduction of LLM-based applications. Despite being a relatively young startup, we have developed and deployed an LLM-based telephone service with over 40 million calls.