telemetry
telemetry on Beyond Market Intelligence: a running collection of 6 stories we have gathered and hand-picked because they are worth your time. Every post here touches on telemetry in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around telemetry, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Presentation: Beyond Line Charts: Why Some Diversity in Telemetry Visualization Is Long Overdue
For years, system observability has relied too heavily on line charts, obscuring critical insights. Yao Yue, drawing on 15 years of experience operating large-scale systems, argues it's time for a change. This presentation, "Beyond Line Charts," explores the fundamental limitations of this default visualization and demonstrates how engineering leaders can transform telemetry data to directly address capacity, latency, and fleet-sizing challenges.
AI agents that pass authentication can still drift, expose data, or get memory-poisoned
Securing AI agents requires a shift in perspective. While gateways are often the initial defense, they're frequently deployed before foundational identity and attribution layers are in place, creating a significant vulnerability. Recent events, like the CISA advisory regarding a LiteLLM flaw, highlight this risk. Prioritize establishing agent inventory, distinct identities, and task-scoped credentials *before* relying on runtime enforcement. Start with the basics – identifying and naming your agents – to build a robust security foundation.
How is your enterprise tracking AI agent telemetry? Groundcover thinks it should never leave your cloud
The rise of AI agents is fundamentally reshaping enterprise data management, particularly how telemetry is tracked. Groundcover thinks it should never leave your cloud, offering a compelling alternative to traditional observability platforms. With $160 million in funding, the company is challenging established players like Datadog and Splunk by prioritizing customer-controlled data storage and a predictable, host-based pricing model. Explore how this approach, combined with eBPF technology, is transforming observability into infrastructure for autonomous software, as discussed further in our recent article, "Smallest.
GM redesigned its engineering workflows around AI agents — and tripled its merged pull requests
General Motors has fundamentally redesigned its autonomous vehicle engineering workflows around AI agents, yielding remarkable results. By shifting focus from simply adding AI coding assistants to automating broader processes—analyzing data, triaging issues, and running experiments—GM engineers now spend just 15% of their time writing code. This strategic shift has tripled merged pull requests, accelerating feature releases and significantly reducing defects.
AI Root Cause Analysis Shifts from Model Reasoning to Context Engineering
The emerging paradigm in AI root cause analysis is shifting. Rather than relying solely on model reasoning, engineers are increasingly focused on “context engineering”— preparing data pipelines that effectively correlate telemetry. Early findings from a Coroot experiment across eleven models offer compelling initial evidence supporting this claim. This represents a significant shift, suggesting the hard problem lies in data preparation, not inherent model limitations.
AWS Ships Claude Apps Gateway as Self-Hosted Control Plane for Claude Code and Claude Desktop
AWS now offers the Claude Apps Gateway, a self-hosted control plane streamlining access to Claude Code and Claude Desktop. This innovative solution centralizes crucial functions—identity, policy, telemetry, routing, and spend management—within a single, stateless container. Inference requests are efficiently directed to either Amazon Bedrock or the Claude Platform on AWS. This marks a significant step toward greater control and flexibility for developers. For a deeper understanding of Claude’s underlying architecture, explore our breakdown of the Claude Fable 5 system prompt.