Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on AIOps, alerting in complex systems and related technologies.

AI Agents Are the New Employees: The Identity & Security Crisis Enterprise IT Must Solve

As AI agents become more autonomous, enterprises face a new challenge: How do you secure a workforce that isn't human? In this episode of Agents of IT, Fran Fernandez, Zach Austin, and Ian Coppock explore the growing identity and security challenges surrounding Agentic AI. From permissions and governance to digital identities and access controls, the team breaks down what enterprise leaders need to know before deploying AI agents at scale.

Visibility Isn't Reliability: Why Observability Alone Cannot Protect SLAs

Over the past decade, enterprises have invested heavily in observability platforms designed to deliver comprehensive insight into increasingly complex environments. Modern systems generate continuous telemetry across infrastructure, applications, networks, cloud services, and third-party dependencies. Metrics, logs, traces, and topology maps now provide a level of technical transparency that would have been difficult to imagine only a few years ago.

Building More Resilient Multi-Cloud Operations

The last post in this series looked at how disconnected alerts can slow incident response and how stronger correlation helps teams investigate issues with more clarity. That same operational context has value beyond triage. It also plays an important role in resilience, service assurance, and the ability to maintain confidence across increasingly complex multi-cloud environments. Resilience depends on more than reacting well during an outage.

Proactive Alerting with AIOps

Modern IT environments generate huge volumes of telemetry across infrastructure, applications, cloud services, and networks. Teams now have more data than ever, but that does not automatically lead to better decisions. In many organizations, the real problem is no longer visibility alone. It is the ability to identify which signals matter, understand what they mean, and respond before users or business services are affected.

How Skylar MCP Gives Agentic Workflows the Operational Context to Act With Confidence

AI models can reason over language, summarize findings, and explain patterns. What they cannot do on their own is see the real-time operational state of your environment. Ask a model about a critical incident and it will answer from whatever context it is given, which means the answer is only as trustworthy as the input. In operations and compliance workflows, an answer is only useful if it is grounded in current service context and governed access to the systems that define reality.

Seven Straight Years of Verified Customer Trust

Seven years ago, our customers started telling the world what the ScienceLogic AI Platform does for their operations. They haven’t stopped. For the seventh consecutive year, that steady stream of verified customer reviews has earned the ScienceLogic AI Platform a TrustRadius Top Rated award, again. Seven years in a row shows that customers keep choosing to share their experience because the platform keeps delivering value. This recognition doesn’t come from us.