Resolve Webinar clip: Scaling Autonomous Operations with Agentic AI #aiautomation #itautomation
From our webinar: Scaling Autonomous Operations with Agentic AI Learn why manual service desks don’t scale and how autonomy actually works.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
Finetuning Gemma 3 on private data with Unsloth and CircleCI
Fine-tuning Large Language Models (LLMs) on private, domain-specific data can unlock significant value for your specific use case. When done correctly, you can create AI apps that understand your organization’s unique context. These apps can speak your brand’s voice and deliver remarkably accurate results that general models cannot match. However, finetuning is not always the right solution. Many teams rush into this complex technique without exploring simpler alternatives first.
Agentic AI Essentials: Your Guide to the Future of Automation
To mark the launch, we’re publishing Agentic AI Essentials, a four-part series to help organizations navigate the reality of agentic AI adoption. Across the series, we’ll look at the questions that matter most: what’s real versus hype, how to avoid adoption pitfalls, how to measure ROI, and how roles will evolve once agents are onboarded. Here’s a sneak peek at what’s in store.
How companies are using Civo GPUs to accelerate AI innovation without runaway costs
Accessing high-performance GPUs shouldn’t feel like a bottleneck. Yet, as AI adoption accelerates, many teams are discovering that hyperscaler offerings often come with a hidden price: long wait times, opaque billing, and layers of unnecessary complexity. At Civo, we’ve seen a different way. Our GPUs enable companies to move faster while keeping infrastructure overhead and costs firmly under control.
How to Ensure AI-Generated Code is Reliable with Runtime Context
TLDR: AI coding assistants have sped up code delivery, but created a validation gap. Historic telemetry and static analysis cannot predict the behavior of unfamiliar, high-volume code. Lightrun’s Runtime Context MCP closes that gap, allowing AI assistants to verify behavior before it breaks, and resolve issues in real time.
Agentic AI in SolarWinds Observability Self-Hosted with Demo (2026)
In this video, SolarWinds Tech Evangelist Chrystal Taylor and Staff Technical Trainer Cheryl Nomanson walk through a hands-on demo of the SolarWinds AI Agent, currently available for tech preview in SolarWinds Observability Self-Hosted.
How agentic IT operations transform IT Service Management (ITSM)
Enterprise ITOps leaders are realizing that legacy incident management processes are collapsing under the weight of today’s sprawling, hybrid-cloud enterprise environments. The fastest path from reactive firefighting to proactive, automated control is an agentic AI-powered incident assistant that can understand context, coordinate people, and take intelligent action at machine speed. Enterprise IT doesn’t look anything like it did even five years ago.
5 Observability & AI Trends Making Way for an Autonomous IT Reality in 2026
IT operations are changing faster than most people realize, making autonomous IT a 2026 reality, not a distant vision. Your team monitors tens of thousands of metrics, ingests terabytes of logs, and generates thousands of alerts daily. And somehow, you still find out about outages from customers before you see them in your tools. That gap between having visibility and actually understanding what’s happening has become the central problem.
AWS re:Invent 2025 AI-First Incident Management in Slack
Jacky Leybman from PagerDuty and Kaninie Knight from Slack share how their integration streamlines incident response and real-time collaboration. This session highlights practical workflows and measurable gains – such as faster triage and lower MTTR – achieved by connecting on-call operations directly in Slack.
Ep 24: Governing AI in the age of agentic systems and Model Context Protocol
On this episode of Masters of Data, we unpack David's new white paper on AI governance for agentic systems. He explains model context protocol (MCP) as "APIs for agents", how AI systems talk and execute tasks. The catch? Autonomous agents are insider threats that move fast and cause serious damage. David introduces the Model Control Plane (MoCop), a twelve-pillar framework designed to prevent your AI from going rogue. We cover his roadmap for security leaders to build real controls and telemetry. His advice: treat agents like interns with root access. Get ahead of this before your agents do.