Finout launches world's first
end-to-end anomaly detection for FinOps. Finance and engineering teams
now have a single, centralized dashboard to monitor cost spikes and
other unusual spending behavior across all of the major cloud providers
and various 3rd party SaaS services. Combined with Finout's virtual
tagging, Finout can easily identify unwanted cost spikes by specific
individuals, teams, or applications in order to reduce waste and
increase profitability.
"Finout is cloud agnostic and can instantly identify a cost anomaly
wherever it is in your tech stack," said Roi Ravhon, CEO &
Co-Founder of Finout. "There's a big difference between cloud costs
increasing because the R&D team accidentally left a staging
environment running overnight, or if it's because one of your features
gained new traction and business is growing. Modern organizations that
operate in the cloud need the ability to quickly know where a spending
anomaly is happening and then understand why it is happening."
End-to-end anomaly detection in the cloud is extremely complex, given
the high dynamic and distributed nature of modern applications. Simply
establishing what should be considered "normal" requires the use of
advanced data analysis. Other factors that contribute to the complexity
include the presence of multiple data sources, myriad variables that
make root cause analysis difficult, and mitigating the amount of
false-positives to maintain a healthy signal-to-noise ratio.
Finout uses machine learning to automatically establish baselines and
expected usage of both technical resources and organizational cost
allocations. Once a resource or a business unit is deviating from this
baseline, Finout automatically triggers a full-context alert so that
developers, operators, and finance all have everything they need to
quickly investigate and stop the cost anomaly before spend grows out of
control.
Key Benefits of Finout's Anomaly Detection Solution
- Automatic alerts on Slack or Email without the need for manual configuration
- Native integration with the Finout MegaBill for anomalies on any virtual tag such as application, environment, or team.
- Cloud agnostic for comprehensive analysis.
- Complete control and visibility - only pay for necessary cloud resources and nothing more.
- Full-context notification channeling to email and Slack.
What separates Finout from the competition is the ability to track not
only all of the major cloud providers such as AWS, Google Cloud, and
Microsoft Azure; but also Kubernetes, Snowflake, Databricks, Datadog,
and other 3rd party SaaS services in one MegaBill. After locating an
anomaly, users are able to drill in and analyze the specific issue, in
order to avoid waste and reduce the average company's cloud spend by
more than 20%.
"Using Finout's business-context capabilities, we gained new insights by
breaking cost down by specific customers and features," said Ofir Tam,
Technical Product Leader at Orca Security. "This enabled us to fine-tune
our tech stack for the best value and increase our profitability."