Operations | Monitoring | ITSM | DevOps | Cloud

AI Cost Optimization Strategies For AI-First Organizations

Not long ago, our co-founder and CTO, Erik Peterson, shared some insights on AI spending. He shared how AI costs currently fall under the write-off-friendly world of R&D. He also acknowledged why DevOps teams might feel it’s too early to start optimizing AI costs. As the saying goes, “Premature optimization is the root of all evil.” But after more than a decade of software development, Erik knows that eventually, research, experimentation, and big ideas need to deliver real returns.

Unlocking Ultimate PC Performance: The Art of Bottleneck Busting

Welcome, Tech Explorer, to the grand journey of maximizing your PC's potential. Whether you're an AI wizard optimizing high-performance computing or a casual gamer frustrated by unexpected stutters, one enemy stands between you and peak efficiency: the hardware bottleneck. That's where the pc bottleneck calculator steps in-your secret weapon in the battle against system slowdowns.

Accelerating AI with open source machine learning infrastructure

The landscape of artificial intelligence is rapidly evolving, demanding robust and scalable infrastructure. To meet these challenges, we’ve developed a comprehensive reference architecture (RA) that leverages the power of open-source tools and cutting-edge hardware.

Introducing Coralogix's AI Center: Real-time AI Observability

Traditional observability wasn't built for. The reason? AI operates in shades of grey, where outcomes are non-deterministic. That's why we built the AI Center, bringing real-time AI observability to thousands of enterprises worldwide. As part of our AI Center, we built an evaluation engine, designed to oversee and detect specific issues that are most common when building AI agents. Teams can choose the evaluators they want to oversee each agent and receive live alerts and reports into specific quality, security and compliance issues.

Unlocking Edge AI: a collaborative reference architecture with NVIDIA

The world of edge AI is rapidly transforming how devices and data centers work together. Imagine healthcare tools powered by AI, or self-driving vehicles making real-time decisions. These advancements rely on bringing AI directly to edge devices. However, building a robust architecture for diverse edge environments presents significant hurdles. This blog introduces our new reference architecture, designed to simplify edge AI deployment.

Building optimized LLM chatbots with Canonical and NVIDIA

The landscape of generative AI is rapidly evolving, and building robust, scalable large language model (LLM) applications is becoming a critical need for many organizations. Canonical, in collaboration with NVIDIA, is excited to introduce a reference architecture designed to streamline and optimize the creation of powerful LLM chatbots. This solution leverages the latest NVIDIA AI technology, offering a production-ready AI pipeline built on Kubernetes.

New In Playwright 1.51 - Can AI Fix Failing Tests With The New Error Prompt?

In this episode, Stefan Judis, Playwright ambassador, explores the new 'Copy as prompt' feature in Playwright 1.51. This feature allows you to copy a pre-filled LLM prompt with all the context of a failing test case. Does this mean that AIs can take over and magically fix all the failing tests? Let's find out!