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The latest News and Information on Cloud monitoring, security and related technologies.

Why engineers ignore cloud cost governance (and fixes)

Discover why engineers ignore cloud cost governance and how to build developer cost accountability. Learn how Harness helps empower engineering teams. Engineers often overlook cloud costs due to friction in traditional FinOps tools and a lack of real-time visibility. By embedding automated guardrails and shift-left cost insights into developer workflows, organizations can drive accountability without slowing velocity.

Where do you see organizations hitting their limits?

In this clip, Virtana Chief Product Officer, Amit Rathi explains why more data does not automatically lead to better operations. As system complexity grows, organizations are collecting more telemetry than ever while struggling to turn it into actionable insights. At the same time, rising observability costs are forcing some teams to monitor only part of their environments. Watch the video to learn why intelligence, not just visibility, is becoming essential for modern IT operations.

Azure Monitor pricing: What you pay vs. what you get

Azure Monitor doesn't have a price. It has a bill and those are very different. There's no plan tier to pick, monthly set fee, or simple number to sanity-check against your budget. Instead, you're charged across a handful of separate meters: log ingestion, log queries, retention, alert rules, web tests, and custom metrics. Each of these metrics scale independently. Most teams don't see the full cost until the bill arrives.

Cloud Shell, New Integrations, and More

VirtualMetric DataStream now includes a PowerShell console in the browser, more than a dozen new integrations, and a new way to collect data from servers and virtualization hosts, where teams choose exactly what they collect. This update also brings guided learning for new users, built-in monitoring rules, and new controls for organizations managing branding and sign-in. Here’s what’s new.

Shipped: Get alerted when AI spend spikes, with the cause attached

AI spend now comes from every department, and it can double in a week without anyone deciding it should. The invoice arrives after the month closes. By then the usual response is a spend cap, which slows every team, including the ones getting real work done with AI. You need to know about spend that breaks its normal pattern while there’s still time to act. The alert should reach the person who can act on it, with proper context and detail.

Cycle's Hosted MCP Release Announcement

We are stoked to announce that we have released our very own hosted MCP that allows you to use natural language to interact with and control anything you have running on Cycle.io. Alexander Mattoni, CTO and co-founder of Cycle, shares a few scenarios where the MCP can be useful. With the MCP, Cycle users can communicate with the Cycle platform directly from their preferred AI tool. In minutes, users can provision a new server, deploy an application, or troubleshoot an issue directly from their AI assistant like Claude, Claude Code, ChatGPT or Codex.