Operations | Monitoring | ITSM | DevOps | Cloud

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

Use Database Monitoring in Splunk Observability Cloud to Identify and Resolve Slow Queries

In this video, I introduce Database Monitoring in Splunk Observability Cloud. I'll demonstrate how to spot and resolve slow queries by leveraging rich metrics and correlating database performance directly with traces in Splunk Observability Cloud APM. TOC.

Cribl and Cloudflare give you full network visibility with real time telemetry

Glenn Block explains how the new Cloudflare source and R2 destination in Cribl Stream lets you ingest WAF, DNS, and Zero Trust logs for full visibility and real time intelligence. Better security, better performance, and lower cost for modern IT and security teams.

Why AI Will Push #Telemetry Budgets to the Breaking Point in 2026

Telemetry growth is about to hit a new level in 2026. Nick Heudecker from Cribl walks through our new predictions report and explains why observability costs are set to surge again, with more than a third of enterprises spending at least 15 % of their IT budgets on telemetry alone. He also shares how agentic AI adds new risk to the data pipeline, why most AI workloads will struggle to scale, and how platform shifts and market forces will reshape the data landscape.

#AI Powered Data Protection Inside Cribl Guard

Cribl Guard uses an always running AI agent to spot sensitive data as it moves through your environment and recommend the right protections in real time. In this demo, you will see how the agent samples live events, identifies patterns like credentials and credit cards, and turns them into one click fixes that keep your destinations safe. Faster detection, smarter rule recommendations, and instant mitigation. This is what modern data protection looks like.

New agents in the Dojo: Expanded Sumo Logic Dojo AI

Back in September, we unveiled Sumo Logic Dojo AI, our agentic AI platform built to power intelligent security operations and incident response. With that launch, we introduced Mobot, our conversational interface, as well as our first agents designed to help automate routine tasks, streamline investigations, and give security teams the freedom and ability to focus on analyzing the highest value security issues facing their organization. Today, we’re excited to share the latest additions to Dojo AI.

Ep 20: re:Invent FOMO? Dojo AI demo

Not heading to re:Invent this week? Don't worry—we've got you covered. In this episode, we welcome Architect Solutions Engineer, Jake Lee, to preview the exciting new Sumo Logic tools we are showcasing in Vegas. Our new SOC analyst agent acts as an AI partner that instantly assesses incident severity and recommends next steps—no more drowning in alerts. The MCP server breaks down barriers by letting you query Sumo Logic from Slack or integrate security insights directly into your IDE.
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6 Reasons Your Data Lake Isn't Working Out

Since the data lake concept emerged more than a decade ago, data lakes have been pitched as the solution to many of the woes surrounding traditional data management solutions, like databases and data warehouses. Data lakes, we have been told, are more scalable, better able to accommodate widely varying types of data, cheaper to build and so on. Much of that is true, at least theoretically. In reality, the way many organizations go about building data lakes leads to a variety of problems that undercut the value their data lakes are supposed to deliver.

Detecting Anomalous Spans at Scale with DataPrime

Tracing is one of the most transformative gifts of observability. It allows engineers to follow a single request through a distributed system and see every span and dependency along the way. However, even with that visibility, some of our most basic questions stay unanswered. Why did a specific span behave differently today than it did yesterday? Why did latency rise even when nothing “broke”?

Introducing Dataspaces & Datasets

Observability data has a habit of outgrowing everything else. As telemetry volume, variety, and velocity increases, staying organized gets harder. Governance becomes messy, and the cost of digging through “everything” keeps rising. Over the past year, Coralogix’s DataPrime engine has been addressing these challenges by laying a new foundation for observability at scale.