Operations | Monitoring | ITSM | DevOps | Cloud

You did it. You added the latest AI agent into your product. Shipped it. Went to sleep. Woke up to find it returning a blank string, taking five seconds longer than yesterday, or confidently outputting lies in perfect JSON. Naturally, you check your logs. You see a prompt. You see a response. And you see nothing helpful. Surprise. Prompt in and response out is not observability. It is vibes.

The JFrog Security Research team has recently discovered and disclosed CVE-2025-6514 – a critical (CVSS 9.6) security vulnerability in the mcp-remote project – a popular tool used by Model Context Protocol clients. The vulnerability allows attackers to trigger arbitrary OS command execution on the machine running mcp-remote when it initiates a connection to an untrusted MCP server, posing a significant risk to users – a full system compromise.

Time series data underpins all real-time systems. From high-resolution telemetry to long-range trends, it’s essential for monitoring, automation, predictive maintenance, and operational insight. But it’s also hard to work with: high cardinality, shifting schemas, and time-based queries make even basic tasks feel heavy.

For today's leading service providers and large enterprises, ensuring peak performance requires navigating a labyrinth of data streams, monitoring tools, and legacy systems. This often leaves network operators spending more time searching for information than acting on it. A new AI-enabled network management is dawning, promising to upend these cumbersome workflows.

Unlike menu items, dashboards in Icinga Web 2 currently can’t be shared across users. This is something we will implement in future versions, but for now users can only create dashboards for themselves. We don’t have an exact timeline for the dashboard sharing feature yet and our roadmap is already pretty packed for this year, so we won’t be tackling this until later next year.