Customer Success Story: IBM
IBM® uses InfluxDB for three distinct use cases.
InfluxDB for storing, graphing and exploring nmon data and stats
The IBM® Advanced Technology Support team uses InfluxDB for storing, graphing and exploring nmon data and stats captured from AIX and VIOS in JSON format. nmon is a stats gathering tool that has 600,000 downloads. InfluxDB is simple to install and quick to get running which makes it an ideal tool. The team at IBM® sees InfluxDB as a perfect Python client for injecting JSON data and allowing direct access to the data.
Using InfluxDB and Telegraf to monitor IBM Trusteer
IBM® Trusteer® products help detect and prevent the full range of attack vectors responsible for the majority of online, mobile and cross-channel fraud. IBM Trusteer products deliver a holistic, integrated cybercrime fraud prevention platform. This platform is based on four key principles to help prevent the root cause of fraud, improve the customer experience, reduce operational impact and utilize a global intelligence service. IBM Trusteer Pinpoint™ Detect now incorporates behavioral biometrics, patented analytics and machine learning for real-time cognitive fraud detection.
The IBM® Trusteer® product line needs to maintain high availability across their entire system in order to fulfill the promise of delivering full protection against online fraud. The team uses DevOps monitoring techniques driven by InfluxData’s InfluxDB and Telegraf. Specifically, they use Telegraf to collect operational metrics, store them in InfluxDB and present the metrics and events data to the operations department using a Grafana dashboard. The data collected is infrastructure and application performance data, that allows the Cloud Operations Department to monitor and maintain the whole system, which contains hundreds of virtual servers.
IBM Power Systems uses InfluxDB to improve performance testing and benchmarking
IBM Power Systems provides their customers with hybrid multicloud infrastructure solutions. Some of their larger POWER9 servers can have up to 192 CPU’s and 64 TB’s of memory. These servers generally run a combination of AIX (Unix) and Enterprise Linux (RHEL or SLES) workloads. IBM continuously benchmarks their new products to better understand their market positioning. Their R&D teams test all new hardware and software before they go to market. IBM Power Systems uses InfluxDB and Grafana to collect, store and visualize performance data in order to improve performance in workload environments which are always evolving.