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

Google SecOps Forwarder Deprecation: Migrate to Bindplane and OpenTelemetry

Google Cloud Security Operations is deprecating the legacy SecOps Forwarder, and OpenTelemetry with Bindplane is the official telemetry ingestion method. In this workshop, you’ll learn how to migrate from the SecOps Forwarder to Bindplane and OpenTelemetry Collectors, the officially supported ingestion model for Google SecOps going forward. We walk through the why, the what, and the how — with practical guidance you can apply immediately.

Agentic AI demands a new data architecture #ai #telemetry

Clint Sharp explains why traditional schema-on-read systems cannot handle the query loads of the future. Agentic telemetry requires a 360-degree view, but structuring data only when you read it is too slow for AI-driven workloads. The solution is using LLMs to drive the cost of building parsers to near zero. Tools like Copilot Editor allow teams to map data to OCSF instantly, effectively building factories of parsers to handle the scale of agentic AI.

Bindplane Community Call in December 2025

Join us live on Wednesday, December 10th at 11am EDT for the December Community Call. We’ll cover: Hands-on demos of the new Bindplane features you’ve been asking for Recaps of KubeCon+CloudNativeCon NA in Atlanta New Bindplane feature guides and blog posts As always, we’ll wrap with an interactive Q&A, so bring your questions!

Docker Logs Command Reference: tail, follow, since Options

Managing Docker container logs is essential for debugging and monitoring application performance. Tailoring Docker logs allows for real-time insights, quick issue resolution, and optimized performance. This guide focuses on efficient methods for tailing Docker logs, with clear examples and command options to streamline log management.

Observability trends for 2026: Maturity, cost control, and driving business value

The observability landscape has undergone a fundamental transformation over the past several years. In a recent report, The Landscape of Observability in 2026: Balancing Cost and Innovation conducted by Dimensional Research and sponsored by Elastic, over 500 IT decision-makers were surveyed. It revealed that observability has definitively transitioned from an optional capability to a mission-critical business function.

Become a 10x investigator with Cribl Notebooks

Cribl Notebooks aims to streamline the investigation process by bringing everything into a single interactive interface. It functions as a virtual war room where teams can collaborate in real time. You can view AI queries and code alongside charts without switching between scattered tabs or workstations. This persistence makes it easier to document the root cause and share the story behind the data.

Fixing Performance Issues Fast with Logs & Tracing

Learn how to quickly track down performance bottlenecks using Sentry Logs and Tracing. In this video, we walk through identifying a slow screen, jumping into the connected trace, and pinpointing slow backend steps, database calls, and AI/LLM operations. See how logs, issues, and traces work together to show the full picture of what happened in a single session.

Expose Hidden State Bugs with Sentry Logs

See how Sentry Logs can surface hidden state bugs that stack traces alone can’t explain. In this walkthrough, we debug a React Native app with an Express.js backend where a missing diet value causes a crash. We inspect the issue, pull in the connected logs, and confirm whether the problem comes from an initial render or from real backend data. By combining issues, traces, and logs from the same session, you get the full story—and a faster path to the fix.

Prioritizing Bugs with Sentry Logs

Learn how to use Sentry Logs to measure how often a bug occurs and which users it impacts. In this example, a React Native app with an Express.js backend crashes when the diet value becomes undefined. After identifying the root cause, we use Explore Logs to count how many times users switch their diet to “none,” filter the related log messages, and group results by user type to understand the impact.