Operations | Monitoring | ITSM | DevOps | Cloud

Building reliable dashboard agents with Datadog LLM Observability

This article is part of our series on how Datadog’s engineering teams use LLM Observability to iterate, evaluate, and ship AI-powered agents. In this first story, the Graphing AI team shares how they instrumented their widget- and dashboard-generation agents with LLM Observability to detect regressions and debug failures faster. Visibility into how large language model (LLM) applications behave in real time is essential for building reliable AI-driven systems at Datadog.

Elevating global operations: Mastering multi-cluster Elastic deployments with Fleet

In today's global enterprises, distributed infrastructure is the norm, not the exception. Organizations operate across continents and are driven by customer proximity and regulatory requirements. For the Elastic Stack, this reality often translates into a multi-cluster deployment model, where data is collected and stored in multiple geographically dispersed Elasticsearch clusters. But, why adopt complexity? The decision to decentralize data storage is generally driven by three critical factors.

Easy Guide for Connecting VictoriaMetrics to a Grafana Data Source

VictoriaMetrics is a fast, cost-efficient, and highly scalable time-series database designed as a drop-in replacement for Prometheus storage. It is widely used for collecting, storing, and querying metrics at scale, while remaining lightweight enough to run as a single binary or container. Because it is fully Prometheus-compatible, VictoriaMetrics supports standard PromQL queries and integrates seamlessly with Grafana.

Why agentic AI is the future of IT change management

Every enterprise depends on continuous changes to its IT environment. New code releases, infrastructure updates, configuration changes, and security patches are all crucial to support continuous innovation. These same changes are also a leading source of operational risk and one of the most common causes of failures at the network, infrastructure, and software layers, resulting in outages.

How the Right Business Essentials Support Long-Term Efficiency

Running a business smoothly depends on many small details. One of the most important things is having the right supplies to do daily work. If people don't have what they need, tasks slow down, and problems pile up. And efficiency - the ability to get things done well and on time - suffers. Well, it's worth noting that workplace essentials aren't glamorous. They're not flashy. But they are the foundation of daily operations. When these basics are reliable, teams can focus on real work instead of scrambling for tools or replacing worn-out items.

What to Plan Before a Full Home Renovation Starts

A full home renovation can feel exciting at first, and then quickly turn into chaos if you jump in without a clear plan. The good news. Most renovation stress comes from the same few problems: unclear priorities, messy decisions, and unrealistic timing. If you handle those early, the rest becomes much easier to manage.

How AI OCR Is Reshaping Automated Data Extraction in Large-Scale Business Operations

Businesses handle massive amounts of data every day. Such data is obtained from invoices, bills, contracts, applications, and many other documents. Most of these documents are distributed in the form of scanned copies and images. As a result, whenever organizations resort to manual data entry in processing such data, the process turns out to be slow and filled with errors. However, to avoid these issues, organizations are now turning to AI-OCR solutions for better data extraction and increased operational efficiency.

AI in Contact Centers: Capabilities, Limits, and the Missing Decision Layer

AI in contact centers refers to the use of artificial intelligence technologies to automate customer interactions, support agents in real time, analyze conversations, and improve operational efficiency. In practice, this includes chatbots, virtual agents, intelligent routing, agent assist tools, sentiment analysis, and automated quality assurance systems designed to increase speed, consistency, and scale.

The CES Hangover: 3 Expensive Hardware Fails That Were Actually Software Problems

The dust has settled on Las Vegas. We saw transparent TVs, cars that drive sideways, and enough “AI-powered” toothbrushes to confuse a dentist. CES is incredible at selling the dream of hardware. The demos are slick, the lighting is perfect, and everything works on the showroom floor. But as engineers, we know the dirty secret of CES: The hardware is the easy part.

Observability Pricing Models: How to Evaluate Cost, Value, and Predictability

Observability pricing often seems reasonable at the outset, but many organizations discover their real complexity only as environments scale and usage patterns change. As environments grow more complex and hybrid by default, many organizations struggle with rising costs, fragmented tools, and pricing models that complicate cost predictability and long-term planning.