Charles Humble writes about a September 10 live webinar in which AWS OpenSearch will demo two new capabilities aimed at fixing threshold alerting that breaks down at scale: Piped Processing Language (PPL) for chaining multi-step alert conditions across logs, metrics, and traces in a familiar Unix pipeline style, and a unified Alert Manager for centralized routing, suppression, and escalation of alert rules. The session, led by senior PM Joshua Bright, targets SREs and platform engineers drowning in false positives and alert-rule sprawl as AI agent telemetry adds yet another high-volume signal to monitor.
- 77% of organizations already treat OpenSearch as a core or supporting piece of their AI infrastructure, per a Linux Foundation report
- Both PPL alerting and the unified Alert Manager ship under Apache 2.0 with no feature gating
- PPL syntax transfers directly across search, analytics, and alerting, so conditions previously too complex to maintain become shareable with teammates
- 77% of organizations already treat OpenSearch as a core or supporting piece of their AI infrastructure, per a Linux Foundation report
- Both PPL alerting and the unified Alert Manager ship under Apache 2.0 with no feature gating
- PPL syntax transfers directly across search, analytics, and alerting, so conditions previously too complex to maintain become shareable with teammates
This article details the emerging protocols for agentic AI, including MCP, UTCP, A2A, and others, explaining their purposes and how they fit into the future of AI communication and collaboration.
Anthropic is donating the Model Context Protocol (MCP) to the Agentic AI Foundation (AAIF), a directed fund under the Linux Foundation, to foster open and collaborative development of agentic AI.
Powering the future of open-source AI agent development. Discover, run, and compose AI agents from any framework. Build production-grade AI agents in both Python and Typescript. Join our community on Discord, BlueSky, and YouTube.
