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

Ep 22: re:Invent recap

In this episode of Masters of Data, we're breaking down AWS re:Invent 2025 through David's eyes (and probably a few cups of conference coffee). We dive into the massive crowds, killer customer conversations, and product demos that actually worked—because we're all about building real tech, not smoke-and-mirrors clickbait. David geeks out over Mobot, our AI tool that's making workflows smoother (not just another chatbot in disguise), and how attendees couldn't get enough of the live demos. We also throw some shade at the AI-washing epidemic and dig into why practical AI applications in security and observability actually matter.

Using Traces, Metrics, and Logs All in One Place, as Demonstrated by Pipeline Builder

When troubleshooting complex software, it’s important to be able to gain insight via its telemetry quickly and precisely. No one wants to waste time switching between tools or worrying about how to interact with different types of data. At Honeycomb, all your data is available in one place, accessible via our fast query engine. But what does that look like in practice?

Why FedRAMP In Process Matters for Federal Customers

Chris Ebley from Blackwood explains why FedRAMP In Process is a major milestone. It gives federal teams confidence that the product can handle sensitive data, meets strict security controls, and comes from a company committed to operating at the maturity level the government expects. This opens new go to market opportunities and makes it easier for agencies to move forward with Cribl.

Why Cribl Lake Delivers the Best Price Performance for AI Workloads #ai #telemetry

CMO Abby Strong explains how Cribl Lake is built for the real demands of modern AI. You get fast storage for high performance workloads and efficient architecture that scales without blowing up your budget. A smarter foundation for the AI era.

Coralogix in G2 Winter 2026: Momentum, Progress, and 192 Badges

As we wrap up 2025 and slowly come down from the re:Invent high, we’ve got one more reason to keep the celebration going. Coralogix has earned 192 badges in the G2 Winter 2026 reports and secured the position in the Momentum Grid Report for Observability Software. It is a strong finish to the year and a clear reflection of the steady progress the platform has been making.

Why should you demand OpAMP support from your vendor?

Fleet management is the practice of monitoring and configuring your fleet of agents and collectors. Key functionality includes: Fleet management is the hallmark of an organisation that has realised the great importance of a healthy telemetry pipeline, and has taken steps to ensure that collectors & agents are every bit as robust as the production architecture for which they are responsible.

Bindplane Onboarding | Install Your First OTel Collector & Send Windows Events to Google SecOps

In this 10-minute step-by-step walkthrough, Chelsea from the Bindplane Customer Success team shows you how to install your first Bindplane OpenTelemetry Collector and start sending Windows Event telemetry from a Windows VM directly into Google SecOps.

Bindplane in 200 Seconds: Windows Event Logs & Google SecOps

Learn how to configure Bindplane to collect and route Windows Event Logs from a Windows VM into Google SecOps. In this 200 second onboarding walkthrough, Chelsea shows how to build and configure a full SecOps-ready pipeline in just a few minutes. You’ll see how to: Create a Configuration Add the Windows Event Log source Configure the Google SecOps destination Roll out the configuration to an agent running on a Windows VM Start receiving security telemetry inside SecOps.

AI Agents Need Structured Telemetry. Are You Preparing? #telemetry #ai

Clint Sharp breaks down the shift from traditional observability to AI ready telemetry. Agents need well formed fields, consistent schemas, and predictable data models. If your environment is full of unstructured logs, agents will give inconsistent answers. The work starts now so your AI future can actually deliver value later.