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PromQL vector matching: what it is and how it affects your Prometheus queries

Dawid Dębowski is a software engineer at G2A.COM and a Grafana Champion. Holding an MS of Computer Science, Dawid’s main fields of interest related to observability are PromQL and data visualizations using Grafana. Have you ever created an awesome query in PromQL, expecting it to return the exact results you’re looking for, only to receive the “No data” response when you run it? If so, you might have fallen into the trap of PromQL vector matching.

How to Build Omni Model Dynamic AI Assistants using Intelligent Prompting

My name is Tim Gühnemann, and as an AI engineering working student at ilert, I had the privilege of developing and continuous improving ilert AI, ensuring it meets the needs of our customers and aligns with our vision. ‍ Our goal was to provide all our customers with access to ilert AI. We aimed to develop a solution that could adapt dynamically and function independently based on our use cases, similar to the OpenAI Assistant API.

CloudFront Pricing: How To Manage And Optimize Your CDN Costs

The CDN market is projected to grow from $27.59 billion in 2024 to $127.13 billion by 2033. The surge in online content consumption, e-commerce expansion, and cloud adoption are some of the leading factors behind this growth. Amazon CloudFront is one of the leading CDN services that offers users efficient and rapid content delivery. However, its costs can be complex due to data transfer fees, request charges, region-specific pricing, and more.

Simplifying service selection: Descriptions for all services now available

At StatusGator, we’re always looking for ways to improve your experience. One common challenge we’ve noticed is that users sometimes struggle to distinguish between services with similar names or unrecognizable logos when setting up Service Monitors for the aggregated status page. To address this, we’ve introduced short service descriptions to help you quickly understand the purpose of each service. This enhancement is now available in the following areas of the platform.

How does OpenSearch work?

OpenSearch is an open source search and analytics suite that developers use to build solutions for search, data observability, data ingestion, security information and event management (SIEM), vector database, and more. It is designed for scalability, offering powerful full-text search capabilities and supporting various data types, including structured and unstructured data. OpenSearch has rapidly developed into a standalone platform with unique features and capabilities.

What is RAG?

In a 2020 paper, Patrick Lewis and his research team introduced the term RAG, or retrieval-augmented generation. This technique enhances generative AI models by utilizing external knowledge sources such as documents and extensive databases. RAG addresses a gap in traditional Large Language Models (LLMs). While traditional models rely on static knowledge already contained within them, RAG incorporates current information that serves as a reliable source of truth for LLMs.

Lasting Impressions and Technical Tidbits From AWS re:Invent 2024

AWS re:Invent 2024 has officially wrapped up, but not everything that happens in Vegas stays in Vegas. We're still gushing over the reception our booth team received from attendees—and we were excited to see even more organizations going all-in on application delivery and security. Naturally, AWS integration was a constant backdrop throughout the week as we showcased the HAProxy platform.