Create

Sign in to ReadmeX

or

How we handle your data: Privacy Policy

ReadmeX

Your AI reading companion

What would you like to catch up on?

Pick a briefing, or ask your own question.

Your community and people briefings stay personal to you.

OpenTelemetry

AI overview

Sign in and the AI will write an overview from our coverage.

Headlines · 5

  1. LogicMonitor touts Edwin AI multi-agent upgrades for autonomous IT

    At its Elevate event in Chicago, LogicMonitor presented five strategic pillars — including unified context, AI-governed action and trust — and described how Edwin AI, OpenTelemetry and application dependency mapping fit together across hybrid environments. The company said its latest Edwin AI enhancements extend those capabilities through multi-agent investigation and deliver insights into existing workflows. GlobalFoundries reported a 98% reduction in alert noise through Edwin AI, and managed service providers cited improvements in incident resolution and engineering efficiency, while the report noted open questions about adoption, trust and operational oversight.

    SiliconANGLE AI · 🔥 0
  2. Google publishes a practical playbook for evaluating AI agents beyond vibe checks

    Google Developers Blog published "Evaluating AI agents: moving past the vibe check" on October 15, arguing that agents fail differently from ordinary software: one can get stuck in a retry loop and fire off multiple tool calls yet still return a polite, plausible-sounding final answer, quietly spiking token costs, exhausting downstream API quotas and triggering duplicate side effects. The authors recommend anchoring tests in critical user journeys rather than abstract benchmarks, starting by reading 5 to 20 execution traces by hand with a "red pen" and turning those notes into deterministic assertions and boolean pass/fail judge checks. They lay out a Day 0 to Day 2 rollout using the open-source agent-eval toolkit to capture OpenTelemetry traces on OpenInference conventions and route them to the Agent Evaluation service on the Gemini platform, with checks eventually gated in CI/CD.

    Google Developers Blog · 🔥 0
  3. Anthropic adds OpenTelemetry traces to Claude Managed Agents, Messages API and SDKs

    Anthropic announced on Oct 14 that Claude Managed Agents, the Messages API and Claude SDKs can now send OpenTelemetry traces to any OTel tool, letting teams follow each step an agent takes, including model calls, tool use and MCP server calls. The capability is in public beta: Managed Agents and the Messages API require a destination configured in the Claude Console, while the SDKs export traces automatically. Anthropic says the traces follow OpenTelemetry GenAI semantic conventions and work with Grafana Cloud, Honeycomb, Sentry, Splunk, as well as Arize AI, Braintrust, Datadog, Langfuse, LangSmith by LangChain, New Relic and PostHog. In a quoted customer comment, Ramp said its Reflect system cut token usage by 10–20% and made sessions 30% faster on some agents, figures Ramp reported and which were not independently verified.

    Claude Blog · 🔥 0
  4. Google adds MCP support to Apigee hybrid, running the data plane in customer clusters

    Google's developer blog announced that Apigee hybrid 1.17.0 supports the Model Context Protocol: users create an MCP Discovery Proxy from an OpenAPI 3.0.x specification, each operation in the spec becomes an MCP tool, and agents discover and call tools over JSON-RPC using tools/list and tools/call without writing or operating a separate MCP server. The post says the MCP data plane runs inside the customer's own Kubernetes cluster, MCP request traffic never leaves the cluster, and configuration is pulled by a sidecar inside the cluster, so the Apigee control plane never initiates a connection into the customer's network. MCP is optional and off by default; enabling it requires setting enableMcpServer via Helm and upgrading the apigee-operator chart first and the apigee-org chart second.

    Google Developers Blog · 🔥 0
  5. O'Reilly essay: AI's 'preservation gap' and the Orrery reconstructability architecture

    An O'Reilly Radar article argues the AI stack has a "preservation gap": the industry invests heavily in evaluating capability but rarely preserves what is needed to understand a past execution. The author distinguishes reproducibility (getting the same result again) from historical reconstructability (identifying the conditions of the original run) and introduces Orrery, a reference architecture that records runtime bindings as they occur — model endpoint, input transformation, retrieved context, tool contract, policy and runtime configuration — along with resolvable identities for the historical states they reference. The piece contends that if an external effect is committed while its usage record never reaches durable storage, the system offers only best-effort historical evidence, so preservation failure needs explicit semantics; it closes by mentioning AIGov Core treating reconstructability as a test.

    O’Reilly Radar · 🔥 0

Experience and discussion from the community

Share my OpenTelemetry experienceAsk about OpenTelemetry

Nobody has shared their experience with OpenTelemetry yet.