Operations | Monitoring | ITSM | DevOps | Cloud

Networking Field Day 35: Democratization of Data Access Using Network LLMs with Selector AI

In this brief demo of the Selector platform, a user interacts with Selector Copilot to explore behavior within their network infrastructure. They first look into the latency of their transit routers, revealing a regional issue. The user drills down into network topology information to further investigate the latency, where they access details about devices, interfaces, sites, and circuits. Selector Copilot is then leveraged to surface circuit errors. Notably, each visualization provided by Selector Copilot can be copied and pasted onto a dedicated dashboard.

Networking Field Day 35: Selector AI and the Workings of an LLM

An LLM differs from a function in that it takes output and imputes, or infers, a function and its arguments. We first consider how this process works within Selector for an English phrase converted to a query. We then step through the design of Selector's LLM, which relies on a base LLM trained with English phrases and SQL translation, then fine-tuned, on-premises, with customer-specific entities. In this way, each of Selector's deployments relies on an LLM tailored to the customer at hand.

Networking Field Day 35: Selector AI Introduction with Debashis Mohanty

Selector's customer base includes 50 deployments across service providers as well as large enterprises in retail, media distribution, colocation services, and multi-cloud networking services. These customers aim to correlate events across their network, applications, and infrastructure; eliminate the need for human intervention in RCS and remediation; and democratize access to insights using conversational natural language interfaces. Selector delivers on these outcomes, while accelerating incident remediation through smart, actionable alerting and a GenAI-based conversational interface.

Networking Field Day 35: Solving the Query Problem with Selector AI

Selector translates English phrases to SQL queries through the use of an LLM. Each SQL query includes the table, or data set to be searched, along with filters, or conditions which prune the search results. We walk through a number of SQL queries and sample search results, before considering the LLM-based translation of a sample English phrase processed by Selector.

Selector AI Presents at Networking Field Day 35

Selector returned to Networking Field Day this year to present our latest developments in network AIOps. Cofounder and CTO Nitin Kumar, along with VP Solutions Engineering Debashis Mohanty and Principal Solution Architect John Heintz, explored how Selector’s GenAI-driven conversational interface promises to not only address today’s network operations challenges, but transform the industry. Read on to catch the highlights of the live-streamed presentation which occurred on July 11, 2024.

Selector Optimizes Performance of the Epic EMR Environment

Quality medical care today relies on “health systems” built from geographically distributed healthcare settings such as hospitals, urgent care clinics, imaging centers, nursing homes, pharmacies, and specialist offices, among many others. Each setting shares data within the broader health system through Electronic Medical Records (EMRs). EMR systems, which were purpose-built to manage patient records, help improve patient outcomes through the real-time sharing of patient data.

Selector Named a 2024 Best Place to Work in the Bay Area

For the second consecutive year, Selector has been recognized as a Best Place to Work in the Bay Area. In 2023, the company was ranked among the top 10 companies with 25–49 employees. This year, the company ranked again in the top 10. This regional award is sponsored by the San Francisco Business Times and Silicon Valley Business Journal in collaboration with Quantum Workplace—an employee engagement data firm.

Improve Service Delivery with Network-oriented SLAs, SLOs, and SLIs

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 Wins 2024 Data Breakthrough Award for Data Observability Innovation

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.

Why Selector's SREs Chose Selector for Kubernetes and Multi-cloud Application 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.