Operations | Monitoring | ITSM | DevOps | Cloud

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.

If you care about operational excellence when it comes to your IT infrastructure, the role of monitoring systems is pivotal. As we navigate through the myriad of available monitoring tools, it becomes essential to understand the distinct architectures, styles, and focal points of various monitoring solutions, as well as the time-to-value they offer.

In the digital era, where data flows like a ceaseless river, real-time monitoring stands as a pivotal technology, allowing organizations to not only keep pace but also to deeply understand the intricate dance of their operational ecosystems. This technology is not just about keeping tabs; it’s about gaining a profound, almost intuitive sense of the micro-worlds within which systems, containers, services, and applications pulse and thrive.

In the dynamic world of container orchestration, Kubernetes stands out as the undisputed champion, empowering organizations to scale and deploy applications seamlessly. Yet, as the deployment scope increases, so do the associated Kubernetes workload costs, and the need for effective resource capacity planning becomes more critical than ever. When dealing with containers and Kubernetes you can find yourself facing multiple challenges that can affect your cluster stability and your business performance.

Monitoring SNMP (Simple Network Management Protocol) devices is crucial for maintaining network health and security, enabling early detection of issues and proactive troubleshooting. Continuous monitoring ensures efficient resource utilization, minimizes downtime, and enhances overall network performance. In this article, we'll detail how to use the Telegraf agent to collect SNMP (MIB) performance statistics that you can forward to a data source.

Since the release of ChatGPT, there’s been growing excitement about the potential of generative AI—a class of artificial intelligence trained on pre-existing datasets to generate text, images, videos, and other media—to transform global businesses. Last year, we released our own generative AI-powered DevOps copilot called Bits AI in private beta. Bits AI provides a conversational UI to explore observability data using natural language.