Keep assists RadiusAI in addressing operational challenges by providing an open-source AIOps platform that integrates seamlessly with our existing monitoring, incident response, and ticketing systems. Its bi-directional providers enable automated alert correlation into high-level incidents and offer robust workflow automation to reduce noise and alert fatigue, significantly lowering our mean time to resolution (MTTR).

Radius AI
Chief Product Officer

Why Keep?

We selected Keep due to its comprehensive integration capabilities, including over 90 pre-built providers, and its customizable workflow engine that allows us to define automated processes tailored to our needs. The platform’s open-source nature and active community support were also significant factors in our decision.

How would you best describe the work with Keep's team in 2-3 sentences?

Collaborating with the Keep team has been a positive experience; they are responsive and proactive in addressing our requirements. Their commitment to continuous improvement and openness to feedback have fostered a productive partnership.

How was the implementation and integration process of Keep with Radius AI's technical stack?

The implementation and integration of Keep into RadiusAI’s technical stack were straightforward. The platform’s flexibility allowed for seamless integration with our existing systems, and the comprehensive documentation provided clear guidance throughout the process.

What are your thoughts about Keep looking ahead?

Looking ahead, we anticipate that Keep’s ongoing advancements in AI-driven alert correlation and noise reduction will further enhance our operational efficiency. We are particularly interested in exploring their upcoming features aimed at improving incident response times and providing deeper insights into system performance.

Keep assists RadiusAI in addressing operational challenges by providing an open-source AIOps platform that integrates seamlessly with our existing monitoring, incident response, and ticketing systems. Its bi-directional providers enable automated alert correlation into high-level incidents and offer robust workflow automation to reduce noise and alert fatigue, significantly lowering our mean time to resolution (MTTR).

Radius AI
Chief Product Officer

Why Keep?

We selected Keep due to its comprehensive integration capabilities, including over 90 pre-built providers, and its customizable workflow engine that allows us to define automated processes tailored to our needs. The platform’s open-source nature and active community support were also significant factors in our decision.

How would you best describe the work with Keep's team in 2-3 sentences?

Collaborating with the Keep team has been a positive experience; they are responsive and proactive in addressing our requirements. Their commitment to continuous improvement and openness to feedback have fostered a productive partnership.

How was the implementation and integration process of Keep with Radius AI's technical stack?

The implementation and integration of Keep into RadiusAI’s technical stack were straightforward. The platform’s flexibility allowed for seamless integration with our existing systems, and the comprehensive documentation provided clear guidance throughout the process.

What are your thoughts about Keep looking ahead?

Looking ahead, we anticipate that Keep’s ongoing advancements in AI-driven alert correlation and noise reduction will further enhance our operational efficiency. We are particularly interested in exploring their upcoming features aimed at improving incident response times and providing deeper insights into system performance.

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