Operations | Monitoring | ITSM | DevOps | Cloud

How to Build Media Operations That Survive Full AI Automation

By the end of 2026, you will upload a product image and a budget to Meta, and its AI will generate the creatives, pick the audience, allocate spend across surfaces, and optimize in real time. Google’s Performance Max already automates bidding, asset selection, and cross‑channel allocation across Search, Shopping, YouTube, Display, and more.

The $1.4 Million Per Hour Business Cost of Downtime And How AIOps Help

Enterprise downtime now costs over $300,000 per hour for the majority of organizations, with large enterprises in critical sectors losing up to $1.4 million per hour when systems go offline. At the same time, cloud budgets continue to overshoot targets by double digits as organizations struggle to manage multi-cloud complexity, unplanned scaling, and resource misconfiguration.

Why Today's ITOps Workflows Break When Systems Get Too Big

Modern, hybrid environments change continuously. But, legacy ITOps workflows assume stable infrastructure. IT environments don’t behave in predictable ways. Infrastructure changes continuously, services spin up and shut down on demand, and data formats evolve with every deployment. Most ITOps workflows, however, are still designed around the assumption of stability. That mismatch drives failure. Static runbooks expect environments to stay put.

What We Built in 2025, and Why It Matters Going Into 2026

As we move further into 2026, we wanted to pause for a moment and reflect on what the past year looked like for OnPage, not just in terms of features shipped, but in how the platform evolved to better support the way teams actually work in high-stakes environments. 2025 was a foundational year for us.

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.