Operations | Monitoring | ITSM | DevOps | Cloud

150+ AI statistics for 2026: spend, cost, and AI ROI

Worldwide AI spending will reach $2.59 trillion in 2026, up 47% from 2025, according to Gartner. Yet only 37% of organizations report any earnings impact from AI, McKinsey finds. These AI statistics cover what companies spend, what AI costs to run, and the ROI they're actually getting. That gap between the two headline numbers is the story of AI in 2026.

Datadog named the Company to Beat for observability platforms in 2026 Gartner AI Vendor Race report

Datadog has been named the Company to Beat for observability platforms in the August 2026 Gartner AI Vendor Race research. Datadog has also been named a Leader in the 2026 Gartner Magic Quadrant for Observability Platforms for the sixth consecutive year. We believe that these recognitions reflect what we have been building toward for more than a decade: a single platform where teams can observe, secure, and act on everything that matters across their technology stack.

Shipped: Know what you actually pay per token on OpenAI

Picture two teams running the same million input tokens through the same model. One team’s tokens are cache hits, queued through the batch API. The other team’s are fresh, sent live. On a current-generation OpenAI model, cached input runs about a tenth the price of a fresh token, and batch processing cuts whatever’s left in half. Stack the two: at a list rate of $2 per million tokens, one team’s bill comes to 10 cents, the other’s to two dollars.

Are AI agents about to break cloud computing?

AI agents can write code and run tools on their own now. The problem is they still need somewhere to actually do it. exe.dev's David Crawshaw joins Michael Reid to break down why persistent virtual machines might become the backbone of agentic AI, and what happens to cloud economics when one person is running dozens of agents at once.

The AI Economy Has a Senior Engineer Problem. Here's How to Solve It

According to a 2025 report from Ravio, entry-level hiring (especially in engineering roles) has collapsed by more than 73% due to increasing AI capabilities. That means junior developer jobs are disappearing. At the same time, demand for senior engineers keeps climbing because organizations need more people to manage and optimize their complex AI agents.

How Canvas Powers the AI Agent Development Feedback Loop

For teams building AI agents, the feedback loop should already be a familiar idea: watch how the agent behaves, find what needs improvement, ship a change, and measure the result. In theory, each turn builds on the last until the loop becomes a flywheel and your agent is getting more effective with each turn. In practice, many of us are still in reaction mode. A user reports something strange, costs spike, or an eval score drops.

First Look: Build Grafana Dashboards with AI using the MetricFire MCP Server

Get a first look at what’s coming next to the MetricFire MCP Server: AI-powered dashboard creation and management. We’re connecting the Hosted Graphite HTTP Dashboard API to our MCP Server, letting compatible AI clients work with your monitoring data and Grafana dashboards directly through an AI-assisted workflow. Soon, you’ll be able to use natural language prompts to reference metrics stored in Hosted Graphite and create, update, and manage dashboards.

ilert AI SRE is generally available

When you get paged at 3am, it takes about 30 seconds for the notification to reach you and maybe two minutes until you're in front of a laptop, awake enough to read. What you see then is usually a raw alert. A metric name, a threshold, a link to a dashboard. Then the ritual starts: open the dashboard, check what deployed in the last few hours, grep the logs for the first error, ask in Slack whether anyone touched the database. ‍ Most of that time is search.

How to Compare and Synchronize PostgreSQL Data | dbForge Studio + AI Assistant

Comparing PostgreSQL databases helps identify data differences, verify migrations and deployments, restore missing records, and keep development, staging, and production environments in sync. In this video, you will learn how to compare and synchronize PostgreSQL data using dbForge Studio for PostgreSQL. We walk through the complete data comparison workflow, from selecting source and target databases and configuring comparison options to reviewing differences and generating a synchronization script.