Operations | Monitoring | ITSM | DevOps | Cloud

Raygun APM Agent 3.1: async traces that stay with the right request

Raygun APM Agent 3.1 introduces more accurate asynchronous request tracing for Windows, Linux, and Azure App Service. Version 3.0 rebuilt the foundation of the Agent, profiler, installers, and release pipeline. Version 3.1 builds on that work with a focused improvement for ASP.NET Core: automatic request correlation that follows asynchronous execution without requiring developers to instrument their application.

Assisted, Augmented or Agentic? Choose Your Splunk Starting Point

Episode two of Beyond the Thread explores how organizations can leverage a solid data foundation for AI-driven actions. Hosted by Courtney Wright and featuring experts Greg Ainsley-Malik and Sonal Pardeshi, the discussion delves into the Cisco Data Fabric, powered by the Splunk platform, and its role in transforming machine data into actionable insights. The episode highlights the journey towards agentic operations, addressing the challenges faced in moving from AI-ready data to effective implementations, and examines different adoption strategies that organizations may pursue.

Agentic Operations Start with Context: Build the Right Data Foundation

Episode 1, "Beyond the Thread: Deconstructing the Cisco Data Fabric Powered by the Splunk Platform," explores the intersection of data strategy and operational efficiency. Hosted by Splunk's Courtney Wright, the session features insights from experts Keith McClellan and Michael Sondag on the complexities organizations face in data management and operational models.

How to Build an HR PTO AI Agent with Resolve Agent Lab

See how to build an HR PTO agent with Resolve Agent Lab. In this Resolve Reels demo, we create a purpose-built AI agent by adding automation skills, instructions, conversation starters, and guardrails. The agent can answer PTO questions, check balances, account for calendar conflicts, and submit requests through systems like Workday or ADP. See how Resolve helps teams build AI agents that take action across enterprise systems.

AI Agents on Kubernetes 101: From Laptop Script to Production Pod

In short, this is a beginner’s guide to deploying an AI agent on Kubernetes. You will containerize an agent, store its API key as a Kubernetes secret, write a deployment with health probes and resource limits, expose it with a service, and lock down its network egress, in that order, with a working manifest at every step. On a local kind cluster the whole walkthrough takes about an hour.

Connect Codex to CircleCI: Fix Failing CI Without Leaving Your Terminal

Connect Codex to CircleCI and give your coding agent direct access to the CI feedback it needs to keep working. In this tutorial, we’ll walk through setting up the CircleCI CLI and CircleCI plugin for Codex, then show how Codex can check pipeline results, validate your CircleCI config, diagnose failed builds, trigger new pipelines, and keep iterating on a fix until CI is green. Instead of bouncing between your terminal and CircleCI to copy logs and errors back to your agent, you can bring the full CI feedback loop directly into your Codex session.