Operations | Monitoring | ITSM | DevOps | Cloud

solarwinds

Agentic AI Essentials: Your Guide to the Future of Automation

Jan 7, 2026 By Krishna Sai In SolarWinds
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.
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civo

How companies are using Civo GPUs to accelerate AI innovation without runaway costs

Jan 7, 2026 By Emma Stewart-Oram In Civo
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.
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lightrun

How to Ensure AI-Generated Code is Reliable with Runtime Context

Jan 7, 2026 By Gideon Freud In Lightrun
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.
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bigpanda

How agentic IT operations transform IT Service Management (ITSM)

Jan 6, 2026 By Sam Osborn In BigPanda
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.
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logicmonitor

5 Observability & AI Trends Making Way for an Autonomous IT Reality in 2026

Jan 6, 2026 By LogicMonitor In LogicMonitor
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.
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AWS re:Invent 2025 AI-First Incident Management in Slack

Jan 6, 2026 By PagerDuty Inc. In PagerDuty
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.
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Ep 24: Governing AI in the age of agentic systems and Model Context Protocol

Jan 6, 2026 By Sumo Logic, Inc. In Sumo Logic
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.
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Automating BGP Troubleshooting with Kentik AI Advisor

Jan 6, 2026 By Kentik In Kentik
In this demo, we use Kentik AI Advisor to troubleshoot a real-world BGP misconfiguration that brings down a peering session with a transit provider. You’ll see how AI Advisor works both as a dedicated page and as an in-portal overlay, using natural language to identify the affected interface, correlate SNMP and syslog data, and pinpoint a maximum-prefix issue as the root cause. Then we accelerate and standardize the workflow with custom network context and AI-powered runbooks, so every engineer can troubleshoot BGP alerts like an expert.
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