observability

observability at Beyond Market Intelligence is a file of 30 stories. The newest of them: “Observability without compromise: keep your AI agent data in your cloud.”, “Building the missing backbone for enterprise AI agent trust and coordination”, and “Your AI model is not your competitive advantage”. AI agents are generating telemetry faster than most enterprises can afford to store it, and that tension is reshaping one of software's most competitive markets. Enterprise AI agents are hitting a wall: they can't talk to each other, can't be trusted with permissions, and can't be audited. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every observability story on Beyond Market Intelligence, newest first.

Observability without compromise: keep your AI agent data in your cloud.
VentureBeat

Observability without compromise: keep your AI agent data in your cloud.

AI agents are generating telemetry faster than most enterprises can afford to store it, and that tension is reshaping one of software's most competitive markets. groundcover's $100 million raise signals a bet that the old architecture, where vendors charge by data volume, no longer fits an AI-driven world. Its BYOC model keeps data in your cloud, priced by hosts, not ingestion. Whether that thesis holds is unclear. But it's a practical challenge to incumbents, and a compelling reason to rethink how observability should work.

Building the missing backbone for enterprise AI agent trust and coordination
VentureBeat

Building the missing backbone for enterprise AI agent trust and coordination

Enterprise AI agents are hitting a wall: they can't talk to each other, can't be trusted with permissions, and can't be audited. Five startups are already closing that gap, and their timing is sharp. The infrastructure for orchestration, observability, connectivity, and security is the real bottleneck, not the agents themselves. BAND coordinates multi-agent workflows, while Conifers speeds up cyber defense. Raindrop AI logs agent actions, and Arcade handles authorization. Omilia tackles customer experience. This is where the work gets practical, and necessary.

Your AI model is not your competitive advantage
VentureBeat

Your AI model is not your competitive advantage

Target's AI edge isn't the model, it's the discipline wrapped around it. Siobhán Mc Feeney argues that autonomy must be earned, not granted, and Target's four-level ladder proves it. Starting with observation and advancing only through proven accuracy keeps agents accountable. That's a sharp counter to the rush to deploy. For a deeper look at how this thinking scales, our piece on bridging retrieval and action shows why connecting systems matters just as much as the intelligence driving them.

Explore how AI now connects insights across 30+ data sources
InfoQ

Explore how AI now connects insights across 30+ data sources

Grafana Assistant now reaches across more than 30 data sources, letting users query and correlate information through plain language. That is a meaningful step for anyone juggling multiple monitoring tools. The expansion removes friction from observability, turning complex troubleshooting into a conversation rather than a chore. For those already exploring how AI reshapes workflows, this feels like a natural progression.

How Expedia's AI Observability Platform Helps Engineers Investigate Faster
InfoQ

How Expedia's AI Observability Platform Helps Engineers Investigate Faster

When a production incident hits, every minute of investigation matters. Expedia Group's STAR platform cuts through the noise by pairing service telemetry with large language models, giving engineers a structured path to root cause analysis. Built on FastAPI and Datadog, it keeps humans firmly in control while accelerating response times. That balance matters. For more on how AI assists in complex technical work, our related piece, "Unlock LLM Training: A Practical Guide to Distributed Algorithms," offers a deeper look at the underlying mechanics.

Smarter Traffic Management and Greater Efficiency with Linkerd 2.20
InfoQ

Smarter Traffic Management and Greater Efficiency with Linkerd 2.20

Linkerd 2.20 lands with sharper traffic management and meaningful efficiency gains, reinforcing why the CNCF-graduated service mesh remains a compelling lightweight choice for Kubernetes networking. The updates feel purposeful, targeting performance and observability without adding unnecessary complexity. For teams tired of wrestling with heavier meshes, this release invites a simpler path forward. If adaptive systems intrigue you, Mallika Rao's insights on real-world recommendations pair well with this momentum. Explore Linkerd's latest strides, and see how smarter routing can lighten your operational load.