Resolve production
issues. Fast. 

Automatically identify the root cause and business impact of critical issues with machine learning – massively reducing mean time to detect (MTTD).

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Go from swiveling to solving

No more manually correlating data sources or triangulating between multiple dashboards or data sources. Using machine learning algorithms, Senser pinpoints the specific component in your workload that caused the outage or service degradation. 

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Go from swiveling to solving
Go from swiveling to solving
Go from swiveling to solving

Prioritize what matters most

Prevent large-scale issues from impacting your customers’ experience or hobbling your business. Senser provides a map of the cascading impact of system issues, including service impact and SLO error budget consumption – so you can ensure your team is prioritizing the most critical incidents. 

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Prioritize what matters most
Prioritize what matters most
Prioritize what matters most

Move faster, go further

Senser intelligently automates the incident resolution process with a machine learning-powered graph of your production environment (including all infrastructure, applications, networks, and APIs) – and an AI-powered query engine letting you rapidly answer critical questions about your production environment with only natural language prompts.

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Move faster, go further
Move faster, go further
Move faster, go further

Recommended resources

Blog

Why is the DevOps team always at fault?

In today’s complex and interconnected production environments, when something goes wrong, the blame almost always lands first on the DevOps team. Here’s why that’s the wrong approach – and what to do instead.

Yuval Lev on September 24, 2023

Blog

Kubernetes made my life much, much worse

Kubernetes, alongside the distributed architecture of micro-service based applications, introduces complexity that makes debugging failures vastly more challenging. SRE and DevOps teams need new approaches to quickly identifying and resolving production issues.

Yuval Lev on August 17, 2023

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