Anodot is the only monitoring solution built from the ground up to find and fix key business incidents, as they’re happening. As opposed to most monitoring solutions, which focus on machine and system data to track performance, Anodot also monitors the more volatile and less predictablebusiness metrics
We've been working so hard and are so excited to be able to share that we have raised $8 million in funding led by Aleph Venture Capital with participation by Disruptive Technologies L.P.. This brings our total funding to $12.5 million, and we couldn't be happier. These funds will go straight towards our efforts to serve our customers better. We will expand our global sales and operations and...
The Anodot elves have been busy in the workshop, building new features to improve Anodot results and user experience. Over the last few weeks, we have rolled out the following new features:
INTRODUCTION:
Your “how to” blog post should teach the reader how to do something by breaking it down into a series of steps.
Begin your blog post by explaining what problem you are going to solve through your explanation and be sure to include any relevant keywords. Add in a personal story to establish your credibility on this topic. And make sure to end your blog post with a summary of what...
You asked for it, you got it – now it’s possible to sign in to Anodot with your corporate credentials. Anodot supports SAML (Security Assertion Markup Language), an XML-based, open-standard data format for exchanging authentication and authorization data, in particular, between an identity provider and a service provider.
It feels like just yesterday we painted the walls of our office and started our journey of building Anodot, a machine learning SaaS platform for detecting business incidents in real time at massive scale. Since that day, two years ago, we’ve learned many lessons as we’ve grown our company.
In most SaaS applications - and Anodot is no different - the software stack consists of multiple cluster components that scale in or out depending on the need.
The machine learning process can be summarized in five major steps as illustrated below:
We've always thought anomaly detection and business incident detection were cool. And now Gartner says so, too. We are so honored to have been named a "Cool Vendor" in Analytics by Gartner, the world’s leading information technology research and advisory company.
We are excited that Credit Karma selected Anodot for their business incident detection needs. In case you haven't heard, Credit Karma provides free credit scores and financial recommendations to 50 million members. They chose Anodot after they had tested multiple monitoring solutions and considered developing in-house.
