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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

How Datadog saves over $1 million each month by optimizing AI usage

At Datadog, we want to expose our engineers to high-quality AI tools and workflows. However, token usage can be expensive, and finding a balance between AI cloud spend and the return on investment can be difficult. But what if engineers could maintain their current AI workflows using the same tools, but at a lower cost?

Beyond the $1 AI era: How federal agencies can build the evidence for FY27 renewals

Over the past year, federal agencies gained broad access to enterprise AI through the OneGov initiative, at prices unlike any normal software deal. The current OneGov portal lists OpenAI ChatGPT Enterprise at $1 per agency, Anthropic Claude at $1 per seat, and Google Gemini for Government at $0.47 per agency. Those introductory offers begin expiring on September 30, 2026, the final day of fiscal year (FY) 26, which places renewal squarely in the FY27 planning cycle.

The psychology behind the apps we use every day

Have you ever opened a new app and immediately known what to do? You know where to click, what an icon means, and somehow everything feels exactly where it should be. Then you open another app and spend several minutes looking for a basic setting, navigating confusing menus and wondering why something so simple feels so difficult. What makes the difference? It isn't always the technology. Often, it's psychology.

Monitor Proxmox Virtual Environments with ScienceLogic

See how the ScienceLogic Proxmox Virtual Environment PowerPack brings centralized visibility and operational context for Proxmox infrastructure into Skylar One. In this demo, VP of Skylar AI Douglas James walks through how the PowerPack automatically discovers Proxmox clusters, nodes, QEMU virtual machines, LXC containers, and storage resources, while building topology relationships that help teams understand how their virtual infrastructure is connected.

AI Only Your Data Can Build

Your competitive edge isn't the model; it's the data that only you have. Sonal Pardeshi, Head of AI Product at Splunk, explains why teams building on general-purpose models keep arriving at the same generic outcomes, and what changes when agents are grounded in your own machine data and your own governance. AI Toolkit and Agent Launchpad let teams build and run agents against your grounded data.

Best Synthetic Monitoring Tools [36 Analyzed, 7 Shortlisted]

Summarize with ChatGPT Summarize with Claude The best synthetic monitoring tools are Hyperping for Playwright browser checks with on-call and status pages, Checkly for Playwright-native monitoring as code, Datadog for connecting failed journeys to logs and traces, Grafana Cloud for teams using k6, Better Stack for checks inside a broader incident workflow, Site24x7 for no-code recording and broad location coverage, and Uptime.com for enterprise website monitoring.

Best Redis Monitoring Tools in 2026 [32 Analyzed]

Summarize with ChatGPT Summarize with Claude The best Redis monitoring setup usually combines more than one tool. Use Prometheus with redis_exporter and Grafana for open-source metrics and alerts, Redis Insight when you need to inspect keys and slow commands, Datadog when Redis failures need to connect to application traces and logs, and Hyperping for the outside-in availability and incident-response layer. I analyzed 32 products and shortlisted seven.

Golden Paths for AI agents: What changes when platform users aren't human?

Agents are already calling your self-service APIs, querying your catalog, and independently provisioning resources around the clock. According to Gartner’s 2026 Hype Cycle for Agentic AI report, agents have had the most aggressive adoption curve of any emerging technology. Gartner even considers agents to be a formal user persona, referring to the agent experience (AX) throughout the report.

Laravel vs. Ruby on Rails

Laravel and Ruby on Rails are both full-stack, batteries-included MVC frameworks with an ORM, a templating engine, a CLI, and a shared philosophy: going from an empty folder to a working app shouldn't take fifty decisions first. Laravel wins when your team already lives in PHP, or when you want the largest possible pool of developers, packages (code other people have already written for common tasks), and hosting options to choose from.