Operations | Monitoring | ITSM | DevOps | Cloud

Automate Configuration Management and Drift Remediation at Scale

Learn how Puppet Enterprise by Perforce automates configuration management, enforces desired state, and enables automatic drift remediation across Windows servers at scale. In this demo, Matthew, Associate Sales Engineer at Puppet, shows how to use Puppet Enterprise to deploy and manage Windows registry configurations across multiple servers from a single console. See how infrastructure as code helps eliminate manual configuration tasks, reduce human error, and maintain consistent system configurations across your environment.

Splunk Observability Cloud and Ansible Automation Platform - How to Remediate Alerts with Ansible

Close the AIOps loop with Splunk Observability Cloud and Red Hat Ansible Automation Platform. Explore how OpenTelemetry and Event-Driven Ansible turn alerts into automated fixes, reducing manual firefighting and speeding up incident resolution.

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.

Use less AI and show your effort in contributing to the OTel project

Using more AI and adding lots of contributions, but not understanding the project, will not scale long-term. OpenTelemetry, like other OSS and cloud native projects, is looking for contributors who care about the ecosystem and genuinely want to learn and support the project. Resources for Further Learning.

AI Is Writing More Code. So Why Are Teams Getting Smaller?

AI Is Writing More Code. So Why Aren't Teams Moving Faster? AI can generate 10x, 100x, or even 1,000x more code. But there's a problem: companies aren't necessarily delivering software any faster. As AI accelerates development, it's exposing the bottlenecks, technical debt, and outdated processes that have been slowing engineering teams down all along. So what happens when the solution isn't more developers or better AI tools, but actually smaller teams?