NewRelic
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DevOS
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y0
DevOS is what happens when you stop thinking of AI as "a tool" and start thinking of it as "an employee." The premise: AI coding agents in 2026 are technically remarkable. Devin can ship features autonomously. Cursor + Claude Code accelerate every senior engineer. Copilot writes half the boilerplate. But every existing AI agent product treats AI as a tool you call โ invoked from an IDE, prompted in a chat, given a one-shot task. That's the wrong frame for how teams actually work. Real teams don't have "tools" โ they have employees. Employees: Have specialized roles (frontend, backend, QA, design, copy, sysadmin) Take tickets off a sprint board Attend standups and report blockers Hand off work to teammates with context Open PRs, get code reviews, respond to comments Have a track record visible across sprints DevOS treats AI agents the same way. Three layers in one product: 1. The marketplace. Browse specialized AI agents by role. Each comes with role-specific prompting, tool integrations, and a track record. Hire as many as your team's working style needs. Agents are configured for their role โ a "frontend dev" agent ships React/Vue with the team's design system patterns; a "copywriter" agent ships marketing pages in your brand voice; a "QA" agent writes Playwright tests and triages bugs. 2. The sprint board. Linear/Jira-style kanban with full agile machinery: sprints, epics, backlog grooming, sprint planning, retrospectives. Agents appear as assignable team members. Drag a ticket onto an agent the same way you'd assign it to a human dev. The agent picks it up, posts an estimate, asks clarifying questions if needed, and starts working. 3. The communication layer. Standups are automated โ every morning agents post what they shipped yesterday, what they're doing today, and what's blocking them. PRs are opened in your real repo. Code reviews happen in real GitHub / GitLab. Slack/Discord/Telegram integration so humans can talk to agents like teammates
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New Relic rebuilt its pricing around data rather than hosts: you pay for gigabytes of telemetry ingested and for the number of full-platform users, not per monitored host. That change made it one of the more approachable all-in-one platforms for cloud monitoring. Infrastructure, APM, logs, synthetics, and browser monitoring under one meter, across all major clouds. - Source: dev.to / about 2 months ago
New Relic has the broadest type matrix โ seven first-class monitor types including a genuine no-code Step monitor, broken-links, and cert checks โ plus serious compliance (SOC 2, ISO 27001, HIPAA BAA, FedRAMP Moderate). For regulated teams that need a no-code authoring path, it is a real contender. - Source: dev.to / 2 months ago
At AWS re:Invent 2025, I had the opportunity to give a brief demonstration at the New Relic booth that opened the stage to some AWS Heroes. In Linux environments, administrators often rely on CPU usage and load average metrics to determine whether an instance is appropriately sized. An oversized instance that sits idle wastes resources and drives up the cloud bill, whereas an undersized instance pushed to its... - Source: dev.to / 9 months ago
Ideal for: Teams that want comprehensive monitoring without drowning in complexity or cost. Official link:New Relic. - Source: dev.to / 9 months ago
Tembo integrates with observability tools like Sentry, Datadog, and New Relic to detect performance regressions, query slowdowns, and recurring exceptions. When it finds issues, it analyzes recent commits, traces the root cause, and opens pull requests with fixes or optimizations โ often before anyone notices the problem. - Source: dev.to / 10 months ago
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