Centralize Your Monitoring with a Time Series Database
Date: Thursday, March 12th at 11:00am PT / 2:00pm ET
Are you getting the most out of time series data? Traditional approaches to monitoring metrics collection require too much effort and overhead setting up and running the monitoring solution. By the time the data is collected it’s of limited value.
Metrics as a Service combines centralization resource efficiency for maximum value extraction from data. Most importantly, it lowers the barrier to using time series data to drive more accurate planning and decision making. With the service model you extract more valuable information quickly at minimal cost.
In this webinar, Daniella Pontes of InfluxData will show you how to use a time series database to:
- Enable your teams to access time series data from your infrastructure, container and orchestration monitoring (including Docker, Kubernetes, and Jenkins)
- Create real-time stream processing for effective alerting
- Integrate Machine Learning frameworks for anomaly detection
About the presenter:
Daniella Pontes, Senior Manager Product Marketing, InfluxData
Daniella Pontes is part of the product marketing team in InfluxData, San Francisco. She started her career in telecommunications, wireless technology and global Internet service provisioning. As security became a major concern for enterprises, she worked on enterprise policy management, SaaS and data encryption solutions. Prior to joining InfluxData, she spent some years living in Japan, Germany, and Brazil, working for an online agency developing and managing the Brazilian market. Having worked in various market segments, from embedded smart antenna technology to Internet security and e-commerce doing product management, partnerships, marketing and business development, she has a broad experience working cross-functionally and with customers and partners.
Daniella is passionate about nature, art, and science. She dearly loves animals and plants, being a strong advocate for preservation, open and green spaces. In her free time, she loves reading, writing and chatting with friends about social fairness while enjoying a cup of coffee.