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
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 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.
We recently took a closer look at data made publicly available by the Bay Area Bike Share to see if we could find some anomalies by streaming the available data into Anodot's business incident detection system. The company, based in the San Francisco, set up bike rental stations throughout the Bay Area. Users can sign up for a 24-hour, 3-day or annual membership, which grants access to the bikes.
Like most web based businesses and SaaS companies, one of our go-to tools for a quick check of the usage of our service is Google Analytics. Typically we log in and we see the pleasing wave of application traffic, with the predictable seasonal drops during the weekend, and increases during the week. We get a daily report of usage per customer and look at the main flows in our service.
I'm excited to share this new customer case study in the ad tech industry.
The stands have emptied. The Broncos and the Panthers played a great game. And of course, Lady Gaga just might have been the best musical performance during the game…and possibly ever…I digress…
In a recent post on StreamingMedia.com, Dan Rayburn shares his insights gained from an interview with David Drai, founder of Anodot. Drai spoke with Rayburn about the challenges that CDN operators face and how machine learning can help. Today’s CDN providers still have not found a way to optimize visibility in order to correct basic issues including increased HTTP errors, IO access or rates of...
With the online holiday shopping season heavily underway and expected to reach $83 billion this year, online stores need to run smoothly, including having prices in order. It may sound basic, but simple computer glitches can cause pricing errors that may excite consumers, but cause major problems down the line. For example, for a few hours this summer, visitors to Best Buy’s web site were able to...
