OmniOps, a leading AI infrastructure company in Saudi Arabia, has joined the global partner program of Grafana Labs. Grafana Labs is known for Grafana Cloud, a platform used for monitoring and observing systems.
With this partnership, OmniOps will help businesses improve how they monitor their systems using Grafana Cloud. This platform brings together important data like metrics, logs, traces, and profiles in one place so companies can easily track and understand their system performance.
OmniOps will offer advanced monitoring services powered by Grafana Cloud, hosted inside Saudi Arabia. This ensures that data stays within the country and follows local rules. Businesses will get better visibility, improved performance and more control over their cloud and AI systems.
OmniOps joined Grafana Labs’ partner program to get access to advanced observability tools and solutions. This helps them use better technology for monitoring and managing systems.
With this partnership, OmniOps wants to reach more customers, improve its market presence, and use Grafana Labs’ expertise to better support businesses in Saudi Arabia.
“Organizations across Saudi Arabia are accelerating their AI transformation in line with the kingdom’s ambitious AI goals, and need observability solutions that meet their demands for advanced capabilities and data sovereignty,” said Mohammed Altassan, Founding CEO of OmniOps. “Through our partnership with Grafana Labs, we’re bringing Advanced Observability to enterprises with real-time visibility into their systems and AI workloads with the assurance that their data remains within the Kingdom—enabling them to scale with confidence while meeting local compliance requirements.”
“Grafana Labs is dedicated to the channel as a go-to-market strategy and we are excited to continue to grow our channel program with the addition of OmniOps,” said Tom Kennedy, Global Head of Channels and Partnerships at Grafana Labs. “Grafana Labs’ program is designed to provide opportunities for growth and meet customer and market demands.”
This step shows that more companies now need systems that can track and manage large AI workloads. At the same time, these systems must follow local data rules and compliance requirements.
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