In an era where digital presence is synonymous with business continuity, unexpected downtime haunts every IT department across industry domains. The quest for operational perfection pivots around not just maintaining uptime but proactively ensuring it. Artificial Intelligence for IT Operations – a ray of hope in this persistent pursuit. Still, the question remains: Is achieving zero unexpected downtime with AIOps a tangible reality?

Many of the benefits from ScienceLogic’s SL1 platform for IT operations monitoring and management are readily apparent. Our clients routinely cite dramatic improvements achieved by leveraging SL1 in their hybrid cloud environments, including stronger visibility, more comprehensive monitoring, intelligent automation, and more proactive analytics for decision support.

ScienceLogic’s SL1 platform goes beyond traditional IT infrastructure monitoring to unlock the full power of AIOps– taming hybrid cloud complexity and achieving better business outcomes.

Context is fundamental to well-run tech operations, which require an understanding of systems, services, architectures, and teams to interpret the real-time data streaming in from observability and change systems. The delivery of context is crucial for effective operations performance. And it’s a universally important skill set for tech Ops teams to master.

The teams that keep IT services running all share one thing: a need for data and knowledge that spans their systems and tools. Yet, they often lack the vital cross-system context necessary to analyze and collaborate effectively to remediate incidents quickly. BigPanda is proud to announce new features and capabilities that enable you to leverage historical incident records and institutional knowledge.

Network performance plays a key role in service delivery, acutely impacting user experience. However, enterprise teams have long struggled with comprehensive insight into network performance and, when necessary, the ability to hold circuit vendors accountable.

Selector has received the 2024 Data Breakthrough Award for Data Observability Innovation of the Year in the Data Management category! This accomplishment marks the second year Selector has received a Data Breakthrough Award, winning Best AIOps Platform in 2023. In this post, learn more about this award and how it reflects our unique approach to data observability.

Selector offers comprehensive monitoring, observability, and AIOps solutions for service providers and enterprises. The process begins with collecting, aggregating, and analyzing multi-domain operational data from various sources, such as SNMP, streaming telemetry, syslogs, and Kafka. Selector then applies advanced AI/ML techniques to power features such as anomaly detection, event correlation, root cause analysis (RCA), smart alerting, and a conversational GenAI-driven chat tool, Selector Copilot.