Operations | Monitoring | ITSM | DevOps | Cloud

Harnessing AI for Enhanced Digital Experiences

AI can significantly improve digital experiences when integrated into workflows. This proactive approach helps address issues and allows employees to focus on innovation. However, successful implementation requires strong foundations and rebuilt workflows. Many AI projects may fail, with predictions that 40% of generative AI initiatives will be canceled by 2026 due to misunderstandings. Clear objectives are essential to ensure AI is not pursued for its own sake.

Ubuntu Summit 25.10 | Opening remarks

Canonical's Founder and CEO, Mark Shuttleworth, welcomes the attendees of the Ubuntu Summit 25.10. He highlights the interdependence of the open source ecosystem and the role of Ubuntu as both an aggregator and an innovator. He also discusses key partnerships across silicon, cloud, ISVs, and the Ubuntu community, and introduces a new global grassroots strategy leading into future summits.

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.

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.

ShipTalk S4E5 | How to Build Real-World ML for 2D Drawings | Marina Petzel (Senior ML Engineer)

What does it actually take to ship AI into a 40+ year old product used by millions of professionals? In this episode of ShipTalk, Dewan Ahmed (Principal Developer Advocate, Harness) chats with Marina Petzel, Senior ML Engineer and AI Productivity Lead at Autodesk, about building and shipping practical AI, not just flashy demos.

Staging Environments Explained: Why Staging Is Essential for Safe, Reliable Software Releases

A staging environment is the final checkpoint before any software update goes live, a production-like space where bugs, performance issues, and integration failures can be caught before they impact real users. In this video, we break down what a staging environment is, why it’s critical, and how it helps ensure smooth, predictable deployments.

#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.

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.

Get 97% faster feedback with Smarter Testing by CircleCI

Fast feedback is the foundation of software delivery at scale. Long build and test cycles break developer focus, turning simple changes into momentum-killing pauses. Studies show that recovering from these interruptions can take twenty minutes or longer. Multiply that by dozens of commits per day and context‑switching time quickly turns into days of lost productivity.