Webinar Date: 2019-11-13 09:00:00 (Pacific Time)
In IoT, understanding the health of thousands of devices is critical for deployment at scale, especially when troubleshooting an issue. Particle’s customer base needed visibility into their devices with actionable data to reference in real time.
In this latest Iot Central webinar, learn how Particle, a fully-integrated IoT platform team, built a metrics system on Telegraf, Kubernetes, and InfluxDB Cloud to deploy a customer-facing product that provides critical and relevant data to their IoT product creators.
Cullen Murphy is a Site Reliability Engineer at Particle, a global IoT platform helping developers deploy connected hardware and software solutions. Cullen is responsible for ensuring the Particle Server infrastructure is accessible and scaling seamlessly for customers. Prior to Particle, Cullen was Lead Software Engineer at Apruve where he drove architecture and implementation of major software design and server systems to prepare for scale with organizational growth. Finding himself back where he started, Cullen began his career in embedded hardware and IoT design and deployment.
Track and graph your Aerospike node statistics as well as statistics for all of the configured namespaces.
Knowing how well your webserver is handling your traffic helps you build great experiences for your users. Collect server statistics to maintain exceptional performance.
Collect and graph performance metrics from the MON and OSD nodes in a Ceph storage cluster.
Use the Dovecot stats protocol to collect and graph metrics on configured domains.
Easily monitor and track key web server performance metrics from any running HAProxy instance.
Gather metrics about the running Kubernetes pods and containers for a single host.
Collect and act on a set of Mesos statistics and metrics that enable you to monitor resource usage and detect abnormal situations early.
Gather and graph metrics from this simple and lightweight messaging protocol ideal for IoT devices.
Gather phusion passenger stats to securely operate web apps, microservices & APIs with outstanding reliability, performance and control.
The Prometheus plugin gathers metrics from any webpage exposing metrics with Prometheus format.
Monitor the status of the puppet server – the success or failure of actual puppet runs on the end nodes themselves.