Our sophisticated machine learning algorithms will automatically detect any abnormal behavior within your systems and alert you in real time when action is required. You will save hundreds of man hours, thousands of dollars, and reduce potential downtime. Our cloud-based machine learning algorithms are always learning by constantly analyzing your data, adopting new thresholds, and detecting anomalies.

We provide amazing dashboards to help visualize your data. This includes line, pie, gauge, funnel, bar, treemap and infrastructure charts, with a powerful query builder. Easily share your dashboard templates to create simple data visualizations . You can also create sophisticated charts via our intuitive and powerful query builder.

The OddEye API Server makes it easy for Developers and DevOps staff to write their own custom agents which send monitoring data to OddEye. If you want to monitor your non-standard devices or just want to have home made agent running at your infrastructure, you just need to grab your metrics, serialize them JSON-format and send the data to our servers. OddEye will analyze your data and store it to our database in real time, so you can create your dashboard and start visualizing data.

OddEye-agent is completely open-source and hosted at GitHub. It supports dozens of popular servers and is compatible with any Linux/Unix platform. OE-Agent is a Python2 and Python3-compatible Linux Daemon application, including minimal configuration requirements and usage of system resources.

For the past decade, our team have accumulated impressive expertise in uniting development and operations of highly scalable and mission critical infrastructures. Our team of DevOps and managed services experts help our clients effectively manage their entire IT operations. We help them reduce their costs by providing highly trained IT resources who can make an immediate impact on their business. Our dedicated 24/7 monitoring personnel guarantees availability of our client’s infrastructure with strict SLA of 10 minute response time .