Operations | Monitoring | ITSM | DevOps | Cloud

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

Log Miner

Learn how Selector’s Log Analytics simplifies log management by enabling direct ingestion from various sources, including network, infrastructure, cloud, and applications. With real-time analysis, it filters and clusters log data, detects anomalies, and surfaces actionable insights automatically. Explore how users can select specific time periods, search and filter logs easily with intuitive controls. Using Named Entity Recognition (NER), Selector extracts key metadata from logs for searching and correlation with other telemetry.

AI-Powered Observability: Picking Up Where AIOps Failed

GenAI promises evolutionary changes in how we use observability tools, but meeting expectations means heeding the lessons of our AIOps mistakes. The emergence of generative AI in observability tools was inevitable, but there’s already been an extreme degree of hype in the market. Monitoring, DevOps and ITOps have never been immune to trends, and with GenAI capabilities, the propagandahype machine is running out of control.

Improve your observability strategy with AIOps

Change is the only constant in the IT landscape. These changes might involve adding new observability tools, retiring existing monitoring systems, establishing new business units, or integrating IT systems from acquisitions. Managing these changes can challenge even expert ITOps teams. Organizing your monitoring setup can seem overwhelming, especially with issues like monitoring gaps, observability redundancy, complex toolsets, or significant technical debt.

Why We Win: ScienceLogic's Business Differentiators

As AI capabilities become more powerful and expansive across IT operations and use cases, the marketplace has become crowded with contenders looking to provide solutions. But when smart enterprise buyers size up their options, ScienceLogic invariably stands out with key business differentiators that showcase why we win and stand apart from the competition.

Achieving quick time to value with AIOps

AI is everywhere, and while it’s transforming industries, many organizations are still trying to identify how to use it to achieve tangible value. This is especially true for AIOps, where platforms often fall short of the promises to automate IT operations and improve incident response. As a result, many leaders are skeptical about whether AIOps can deliver measurable results quickly or provide outcome-driven value in IT operations.

The Journey to Autonomic IT: Mastering the Transition to Machine-Assisted IT

By now, you should be no stranger to Autonomic IT. The full realization of AIOps, combining AI, data, and automation to deliver a self-healing and self-optimizing IT infrastructure that operates autonomously, continuously monitoring and optimizing technology investments, and freeing up IT resources for innovation is on the horizon. In our first blog, we discussed Phase 1 of the Autonomic IT journey: Siloed IT.

Selector Network Management and Analytics

In this video, we introduce Selector, an AOPS platform designed to monitor network and infrastructure devices, identify faults, and provide advanced analytics. The platform supports multivendor telemetry and integrates with collaboration tools like Slack and Teams, as well as ticketing systems. You'll see how Selector helps manage network devices, with an overview of the dashboard and alerts system.

The Difference Between AI and Generative AI, and How ScienceLogic Uses Both

Artificial intelligence (AI) and generative AI – they may sound similar, but how do they differ? Although these terms are often used interchangeably, generative AI is actually a subtype of AI. At ScienceLogic, we use many different types of AI, from machine learning to generative AI, to analyze IT environments, provide insights to help IT pros take action, automate and streamline workflows, and drive innovation.