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Anomaly Detection – The New Machine Learning Frontier for Unprecedented Visibility in Your Cloud

By Gagan Singh on April 24, 2018

Most organizations regularly experience cloud spend anomalies due to inadvertent internal misconfiguration issues. These internal misconfigurations can be related to provisioning and leaving idle large instances for evaluation purpose, large amounts of data transfer out or frozen serverless calls. Often, the responsible engineers are looking to experiment with newer cloud-native technologies for app development, building data lakes or testing load and scale performance of an application by spinning up instances or services. A simple misconfiguration can spin up the wrong number of instances or services, or cause a massive data transfer, causing spikes in the bill which can go unnoticed for a long period of time but can cost the company considerably.

In addition to the typical unintentional spending anomalies, some are malicious. Recently Tesla was in the news – no, not for introducing new car models, instead it was for hackers using Tesla’s public cloud for mining cryptocurrency – called “cryptojacking.” Cryptojacking is a technique hackers use to leverage public cloud infrastructure that has been compromised with the goal of mining cryptocurrency.

Detect and Correct Anomalies Before They Wreak Havoc

Whether intentional or unintentional, spending anomalies are often not detected early and impact a company’s bottom line. At Cloudability we’ve helped customers manage billions of dollars of cloud spend and observed that a lot of our customers were being impacted by a lack of understanding of their cloud bill and its ramifications. To solve these problems, Cloudability is pleased to announce the launch of our Anomaly Detection capability.

You might ask, what’s so unique about Cloudability’s Anomaly Detection? Let’s dig deeper into why Cloudability’s Anomaly Detection can provide the unique insights and correlation that are hard to replicate across other industry platforms.

Cloudability is a True Cost™ cloud management platform that stores customer data perpetually with no loss of fidelity. This data lake gives Cloudability the ability to deliver deep insights and visibility to the customer. Cloudability’s Data Science team has built machine learning algorithms that continuously analyze data and alert the user when anomalies are detected.

When evaluating an anomaly detection solution and the accuracy it delivers, the following aspects should be taken into consideration:

Cloudability’s Anomaly Detection is enabled for all customers, and starts working right out of the box. Users don’t have to fine-tune model parameters or figure out which algorithms would work best. Cloudability’s True Cost™ platform detects and delivers insights not possible manually.

Cloudability processes anomaly data as soon as a new billing file is available from the cloud provider. This ensures that anomalies are detected quickly and can be addressed. Cloudability processes billing data from multiple cloud providers and presents all anomalies in a single pane of glass.

Cloud providers recommend using tags as a best practice for cloud operations. In the case of anomalies, proper tagging helps Cloudability provide deeper insights and correlate anomalies to the service(s) or instance(s) being impacted.

Users don’t have to define any preconfigured settings to receive alerts. However, Cloudability does provide users the ability to set up email alerts for when the unusual spend goes over a certain amount and receive them on the go.

To view the anomalies impacting the cloud environment, simply select a timeframe and drill down into the details by selecting an anomaly. Cloudability’s powerful Views capability allows organizations to segment data into customized groups that might make sense from a financial or organizational perspective, for example. Anomaly detection is integrated into the the Views capability which enables customers to set up customized, granular anomaly alert rules. All alerts trigger a notification via email.

Stay Ahead of Unexpected Cloud Costs

Cloudability’s Anomaly Detection capability provides unprecedented visibility into your diverse and dynamic cloud environment, ensuring your business is not impacted negatively by unexpected spikes in spending. Anomaly Detection is available for users and owners across your organization, so your teams can share responsibility for the health and maintenance of your cloud. Put the power of machine learning to work for you to safeguard your business from malicious attacks while also rectifying mistakes in a timely manner. Cloudability’s Anomaly Detection delivers security, governance and comprehensive visibility for your cloud environment, all in a single pane of glass.

If you’re a Cloudability customer, Anomaly Detection is live now in your Cloudability dashboard! If you’re not currently a customer but would like to see how Anomaly Detection and other cloud management capabilities could help you make better, more informed decisions, start a free trial of Cloudability today.

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