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

What Is Log Monitoring? Pipeline, Pitfalls, and Practices for 2026

Catching a cascading failure in the first 90 seconds is one of the better feelings in production engineering, and it almost always comes back to your log monitoring pipeline doing its job upstream of the alert. The teams that land there consistently treat log monitoring as a real-time detection layer in its own right, and the choices you make in that pipeline shape how every incident plays out for years.

Contributing Distributed Partition Ownership to the Azure Event Hub Receiver

If you're running OpenTelemetry collectors against Azure Event Hubs, distributed partition ownership and checkpointing just got significantly better. Your fleet now self-organizes. Failover is automatic. Restarts don't lose data. Here's how we got here.

OpenTelemetry Fleet Management: Scalable Control

OpenTelemetry has turned observability pipelines into production infrastructure, but managing them at scale often creates a massive operational burden. In this demo, we show how Coralogix Fleet Management acts as the central control plane for your OTel ecosystem, providing the governance and orchestration required for modern DevOps. Stop the "manual marathon" of PRs and Helm upgrades. Move toward a safer, more predictable operating model where telemetry is consistent, audited, and scalable.

Turn Noisy Logs Into Structured Data with Uptrace Grouping Rules

Here are 3 YouTube title options plus a description optimized for technical/dev audiences: Same log pattern. Hundreds of useless groups. In this video, we show how to use Uptrace Grouping Rules to automatically turn noisy logs into structured, searchable data — without changing application code. You'll learn how to: Examples covered: Perfect for:#OpenTelemetry users, backend engineers, SREs, and anyone dealing with noisy logs.

The Best Kubernetes Monitoring Tools of 2026

Effective Kubernetes monitoring in 2026 is critical due to increased cluster scale and microservices complexity, demanding a shift toward unified observability (logs, metrics, and traces). The core focus is leveraging AI-driven features to automate anomaly detection, correlate diverse data, and significantly reduce Mean Time to Recovery (MTTR).

AURA in Practice: Mezmo's SRE bot, demo walkthrough

A walkthrough of the Slack-based SRE bot Mezmo's engineering team built on AURA, the open-source agent harness, running against Mezmo's own production tooling. Adrian Furlong shows the bot answering questions in a DM with tool calls visible inline, then in a shared channel where it reads the conversation before responding. He opens a fresh PagerDuty incident on camera. The webhook fires AURA, and within seconds, the agent posts a triage note back on the incident and a structured analysis in the dedicated incident channel.

Managing OpenTelemetry at Scale: Why OTel Pipelines Need a Control Plane

OpenTelemetry made telemetry possible everywhere – turning observability pipelines into distributed production infrastructure. Distributed infrastructure requires a control plane for inventory, governance, and safe change. At 500 collectors across hybrid environments, operational overhead becomes a production risk. The moment telemetry pipelines become a distributed infrastructure, they inherit the operational problems of one.

From noise to knowledge: How GenAI is revolutionizing log management and analytics

Focusing on GenAI and logs for IT efficiency Efficiency is everything for managing today’s digital systems. Technology is constantly transforming and expanding operations are driving an explosion in data. Consequently, data ingest and storage costs have soared. But it’s not just storage data costs that keeps teams behind.The challenge of managing all that observability data forces IT teams to choose between efficiency and the bottom line.

Federated Search | From Silos to Insight | AWS S3 Schema Discovery with Splunk-Managed Tables

This walk-through shows how Splunk's crawler, available through the Data Management app, can discover schema and partition keys for S3 backed datasets and create Splunk managed catalog tables. Once the data is mapped, analysts can search AWS S3 data through Splunk and bring it into broader security, observability, and operational workflows.