Finout launched 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.”
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
1. Automatic alerts on Slack or Email without the need for manual configuration
2. Native integration with the Finout MegaBill for anomalies on any virtual tag such as application, environment, or team.
3. Cloud agnostic for comprehensive analysis.
4. Complete control and visibility – only pay for necessary cloud resources and nothing more.
5. Full-context notification channeling to email and Slack.
Finout provides 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%.
The Latest
APMdigest and leading IT research firm Enterprise Management Associates (EMA) are partnering to bring you the EMA-APMdigest Podcast, a new podcast focused on the latest technologies impacting IT Operations. In Episode 2 - Part 1 Pete Goldin, Editor and Publisher of APMdigest, discusses Network Observability with Shamus McGillicuddy, Vice President of Research, Network Infrastructure and Operations, at EMA ...
CIOs have stepped into the role of digital leader and strategic advisor, according to the 2023 Global CIO Survey from Logicalis ...
Synthetic monitoring is crucial to deploy code with confidence as catching bugs with E2E tests on staging is becoming increasingly difficult. It isn't trivial to provide realistic staging systems, especially because today's apps are intertwined with many third-party APIs ...
Recent EMA field research found that ServiceOps is either an active effort or a formal initiative in 78% of the organizations represented by a global panel of 400+ IT leaders. It is relatively early but gaining momentum across industries and organizations of all sizes globally ...
Managing availability and performance within SAP environments has long been a challenge for IT teams. But as IT environments grow more complex and dynamic, and the speed of innovation in almost every industry continues to accelerate, this situation is becoming a whole lot worse ...
Harnessing the power of network-derived intelligence and insights is critical in detecting today's increasingly sophisticated security threats across hybrid and multi-cloud infrastructure, according to a new research study from IDC ...
Recent research suggests that many organizations are paying for more software than they need. If organizations are looking to reduce IT spend, leaders should take a closer look at the tools being offered to employees, as not all software is essential ...
Organizations are challenged by tool sprawl and data source overload, according to the Grafana Labs Observability Survey 2023, with 52% of respondents reporting that their companies use 6 or more observability tools, including 11% that use 16 or more.
An array of tools purport to maintain availability — the trick is sorting through the noise to find the right one. Let us discuss why availability is so important and then unpack the ROI of deploying Artificial Intelligence for IT Operations (AIOps) during an economic downturn ...
Development teams so often find themselves rushing to get a release out on time. When it comes time for testing, the software works fine in the lab. But, when it's released, customers report a bunch of bugs. How does this happen? Why weren't the flaws found in QA? ...
