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The latest News and Information on Log Management, Log Analytics and related technologies.

Introducing AI Observability: Trace Every AI Agent Request from Prompt to Pod

TL;DR Logz.io AI Observability provides end-to-end tracing for AI agents and LLM applications. Built on OpenTelemetry, it lets you trace every request from prompt to backend service, visualize multi-step agent execution, isolate root causes across models and infrastructure, and track token usage per step, all alongside your existing logs, metrics, and traces.

On Release Days We Wear Teal for release 4.20.3

In this episode, Leon sugars up and then opens the wrapper on the sweetest new bites in the Cribl candy dish - Cribl Detect, updates to Apps including app certification, a new way to use Terraform to automation Cribl rollouts, notifications for data loss, and a name change - along with our running Crib-bits and New-2-U segments. For more information, check out these links.

Telemetry Cost Management: Routing, Tiering, and Governance Without Blind Spots

TL;DR Cutting telemetry volume is only half of cost management. The other half is sending each signal to the right destination and storage tier, adjusting policies as traffic and incidents change, and rolling out every change in phases that teams can measure and reverse.

Comparing Coralogix with open source observability backends

We put the same OpenTelemetry data into four backends, Coralogix, ClickHouse, OpenSearch and a Loki, Tempo and Prometheus stack, then set an agent twelve questions against each one, from counting spans to working out what is wrong in a system it has never seen. Then we forced the agents to continue investigating until they got to the right answer. In this experiment, what separated them was the time, tokens, tool calls and turns it took to get there.

Cloud Log Monitoring & Root Cause Analysis | Logs for Lunch

Cloud log monitoring in LogicMonitor connects a service alert to the log event behind it. This Logs for Lunch July demo is for ITOps, CloudOps, and SRE teams. Tom Chavez hosts Ismath Mohideen (Product Marketing) and Nick Doane (Senior Sales Engineer). They cover cloud observability and multi-cloud monitoring across AWS, Azure, GCP, and OCI in LM Envision, using cloud provider APIs with no extra collectors.

LM Logs Tips: Alert-to-Logs Workflow for Ops Team | Logs for Lunch

LM Logs troubleshooting starts at the alert. This Logs for Lunch session shows ITOps teams an alert-to-logs workflow and lesser-known LM Logs tips. Ryan Matuszewski demos a Tomcat application error. From the alert's Logs tab, he moves through log anomaly detection, All Logs, Log Patterns, and Log Analysis sorted by sentiment. He then opens the Logs page with the alert time range, and the same steps work for any alert type.

How to View, Filter and Manage Docker Logs Without Losing Them or Filling the Disk

Why does a container fail, restart and leave behind almost nothing useful when you go looking for the cause? Docker logs are the first place most engineers check during an incident, and they work well right up until the output goes missing. Sometimes it is buried under thousands of lines, and sometimes it is deleted along with the container. The docker logs command itself is simple. The difficulty comes from the settings around it, starting with the logging driver and where its files live on disk.

CriblCon 26 Keynote highlights: Cribl StreamAI, App Framework, Marketplace, and Detect

This CriblCon 26 keynote highlight reel introduces Cribl’s AI platform for telemetry and highlights Cribl StreamAI, the Cribl App Framework, Cribl Marketplace, and Cribl Detect. It is relevant to IT, security, and observability teams exploring intelligent model routing, agentic app development, marketplace deployment, and security investigations using telemetry and context. The keynote also covers the SEC IT benchmark, the cost of investigating incidents with different AI models, and included inference for Cribl-native workloads.

Centralizing logs: Apache Kafka + OpenSearch

TL;DR Aiven for OpenSearch is where you search logs from every service, with OpenSearch Dashboards included and a built-in integration for Aiven service logs. When several destinations need the same logs, or traffic bursts and mapping changes put logs at risk, put Aiven for Apache Kafka in front: applications write once, Kafka buffers and replays, and sink connectors route logs to OpenSearch, object storage and Aiven for ClickHouse.