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The latest News and Information on AIOps, alerting in complex systems and related technologies.
How AI Agents Reason, Act, and Automate at Scale
In our previous post, we explored the urgent need for intelligent automation in network automation, specifically how the Model Context Protocol (MCP) enables AI agents to dynamically discover and interact with the necessary tools. But access to tools is only part of the equation. To truly operate autonomously in complex environments, agents need not only connectivity but also intelligence.
Automate Disk Space Management on Windows with Resolve
Struggling with managing disk space issues on your servers or virtual machines? See how you can use Resolve to automate disk space addition and expansion on Windows systems, saving time, reducing manual errors, and eliminating the need for high-level administrative access. In this video, you'll learn how Resolve automates the process of: Whether you’re a system admin, IT operations engineer, or automation enthusiast, this demo highlights how you can streamline infrastructure tasks using intelligent automation.
Automating Linux Disk Expansion with Resolve: Add & Extend VM Disks in Minutes!
Running into disk space issues on your Linux servers or virtual machines? In this step-by-step demo, we show how Resolve’s powerful automation platform can help you automatically add and expand disk space on Linux systems, eliminating manual processes, reducing human error, and improving operational efficiency. In this video, you’ll learn how to: Technologies Featured: Whether you're a system admin, IT operations engineer, or automation specialist, this demo highlights how to streamline critical disk management tasks that normally require elevated access and technical knowledge.
Zero Trust Starts with Zero Blind Spots
Zero Trust is more than a buzzword in today’s cybersecurity playbook, it’s a strategic imperative. Federal agencies, defense operations, and civilian infrastructure providers are all under mounting pressure to deploy Zero Trust Architecture (ZTA) frameworks that are not only compliant but truly effective. But there’s a problem: Zero Trust can only succeed if it’s built on real-time, actionable insight. That means eliminating blind spots.
AIOps in 2025: 4 Components and 4 Key Capabilities
AIOps, or Artificial Intelligence for IT Operations, is the application of artificial intelligence and machine learning to automate and improve IT operations. It combines big data analytics, AI, and machine learning to monitor, manage, and optimize IT environments, enabling organizations to proactively detect, diagnose, and resolve issues more efficiently than traditional methods.
LLM and AI Application Observability vs. Traditional and Cloud Native Observability
OpenLLMetry extends the industry-standard OpenTelemetry framework with features specifically for monitoring large language model (LLM) and GenAI application behavior.
From Reactive to Resilient: Why CIOs Must Lead the Automation Shift to Achieve True Business Agility
For decades, CIOs have fought to keep pace with rising digital complexity. As IT environments have grown more fragmented and dynamic, operational stability has often come at the cost of strategic agility. But the game is changing. What once required heroic effort to maintain is now table stakes—and the new expectation is that IT won’t just support the business, it will help steer it.
Autonomous Operations Are Here
ScienceLogic’s vision for IT operations isn’t just about improving tools—it’s about changing the entire paradigm, flipping your day-to-day upside down. We’re moving beyond dashboards and alerts, beyond human-only workflows and rules-based systems. The future is autonomous. It’s intelligent. It’s agentic. And it’s already being realized through the power of Skylar AI.