"Loom Systems Ops manages to identify elusive issues and help us focus on increasing our business revenue and solving problems rather than looking for them"
Taptica creates a single arena in which brands can scale and engage more relevantly with mobile audiences, staying ahead of the competition. Taptica provides world-class technology along with Big Data and years of experience advertising on the Facebook platform, to ensure maximum ROI. Taptica works with advertisers such as: Amazon, Disney, Facebook, Twitter, OpenTable, Expedia, Lyft and Zynga.
As a world-class technology provider, Taptica developed a proprietary technology which is based on artificial intelligence and machine learning at big data scale. Taptica’s technology enables data-driven mobile targeting and user acquisition, resulting in maximum ROI. Taptica works with more than 50,000 supply and publishing partners worldwide and processing more than 22B requests per day.
The firm was using multiple monitoring solutions for their production environments along with an alerting mechanism based on specific queries and predefined thresholds. This forced the team to always be on their feet and constantly deal with defining new alerts and dashboards in order to stay ahead of production issues.
Taptica's Leadership had to cut expenses and improve the IT team’s core KPIs, with a focus on MTTD (mean time to detection) and MTTR (mean time to resolution). While analyzing their detection to resolution process, it became clear that the key barrier to improve their results is the amount of time it takes his team to manually analyze issues that were detected, so that they could get to the root cause of the issues and resolve them.
Through Sophie AIOps' measure-all approach, the root-cause could be identified and the team could begin resolving the issues immediately. Because the application in question was developed in-house, the team was very surprised by the ability of the system to automatically ingest, pre-process and analyze the log files. Only through the use of advanced machine-learning algorithms was
Within 24 hours of Sophie AIOps implementation, both the operations and R&D teams started working with Loom. The sync between the two teams improved significantly by using our proactive technology. The Ops team was able to
Business wise, Sophie AIOps Improved MTTD (mean time to detection) by 80% and MTTR (mean time to resolution) by 50%.
"The real-time automated analysis provided by Sophie AIOps platform enables us to detect errors in seconds, recover operations in minutes and improve our MTTR by 50%"
Adam Shalom Head of Operations
